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SIPSN: National Waste Management Information System as Foundation for Indonesian Data-Driven Waste Analytics and Policy Development
Category: Waste
Date: Dec 8th 2025
SIPSN: National Waste Management Information System as Foundation for Indonesian Data-Driven Waste Analytics and Policy Development

Reading Time: 45 minutes

Key Highlights

• National Coverage Scale: SIPSN recorded 27.74 million tons of waste generation in 2024 from 274 districts and cities, representing approximately 76,000 tons per day across participating municipalities implementing the information system1

• Regulatory Foundation: Ministry of Environment and Forestry Regulation No.6 Year 2022 establishes mandatory reporting requirements with semiannual data submission periods covering January-June and July-December for all provincial and district governments2

• Technical Integration: System architecture supports direct input through web platform and API-based interoperability enabling regional government systems to integrate with national database maintaining data consistency requirements

• Analytics Applications: Platform provides foundations for waste reduction program evaluation, facility performance tracking, budget allocation optimization, and policy development targeting 30% waste reduction and 70% waste management by 2025

Executive Summary

Indonesia's waste management challenges require systematic data collection, analysis, and reporting mechanisms supporting evidence-based policy development and performance monitoring across national, provincial, and municipal levels. The National Waste Management Information System (Sistem Informasi Pengelolaan Sampah Nasional - SIPSN) represents centralized platform integrating waste generation data, facility performance metrics, waste reduction activities, and management outcomes from 514 districts and cities throughout Indonesian archipelago into unified information system accessible for planning, monitoring, and evaluation purposes.

Current implementation shows 274 municipalities actively reporting through SIPSN as of 2024, documenting 27.74 million tons annual waste generation with household waste contributing 50.8% of total composition and food waste representing 39.67% of waste streams.3 Platform captures comprehensive information spanning waste sources, generation rates, composition analysis, facility operations including waste banks (bank sampah), 3R facilities (TPS3R), composting operations, final disposal sites (TPA), and informal sector activities contributing to overall waste management ecosystem across Indonesian regions.

For businesses operating in waste management sector, environmental consulting, municipal service provision, and related industries, SIPSN represents authoritative data source supporting feasibility studies, market analysis, facility planning, technology selection, and performance benchmarking activities. System provides access to waste generation patterns, composition characteristics, existing facility coverage, infrastructure gaps, and regulatory compliance requirements informing business development strategies, investment decisions, and service delivery approaches across diverse Indonesian contexts from metropolitan areas to smaller municipalities.

This analysis examines SIPSN technical architecture, data collection methodologies, reporting requirements, analytical capabilities, and practical applications for waste management stakeholders. Drawing on Ministry of Environment and Forestry regulatory frameworks, technical guidance documents, implementation experiences from participating municipalities, and data analytics approaches, discussion provides foundation for understanding system capabilities and their application supporting Indonesian waste management sector development serving growing urban populations requiring improved waste service delivery.

SIPSN Regulatory Framework and Institutional Structure

Ministry of Environment and Forestry Regulation Number 6 Year 2022 concerning National Waste Management Information System establishes legal foundation for SIPSN development, implementation, and operation across Indonesian governmental levels. Regulation defines SIPSN as integrated network system managing data sourced from multiple databases consolidated into comprehensive waste management information collection accessible for public information provision and policy development purposes at national scale.4

Regulatory framework requires provincial governments and district/city governments to provide information according to waste management authority distribution under Indonesian administrative structure. Information provision occurs through two mechanisms: direct input via SIPSN web platform where data custodians and operators manually enter information through standardized forms, and information interoperability where regional governments maintaining existing waste information systems connect through application programming interfaces enabling automated data transfer to national system maintaining consistency across syntax, structure, and semantic requirements.

Institutional Roles and Responsibilities in SIPSN Framework

Ministry of Environment and Forestry:

• Develops and maintains SIPSN platform infrastructure

• Establishes data standards and reporting formats

• Provides technical guidance and training support

• Validates submitted information quality and completeness

• Publishes aggregated data for public access

• Utilizes information for national policy development

Provincial Governments:

• Submit provincial-level waste management data

• Review and validate district/city submissions

• Coordinate regional waste management planning

• Monitor district/city compliance with reporting requirements

• Provide technical assistance to municipalities

• Aggregate data for provincial planning purposes

District/City Governments:

• Collect waste generation and facility data

• Input information through designated data custodians

• Submit reports covering semiannual periods

• Maintain data quality through verification processes

• Respond to validation feedback from higher levels

• Utilize data for local planning and monitoring

Data Custodians and Operators:

• Access SIPSN through assigned credentials

• Input comprehensive facility and performance data

• Ensure accuracy through quality control procedures

• Submit information according to deadline schedules

• Coordinate with facility managers for data collection

• Maintain documentation supporting reported figures

Information submission requirements specify minimum twice yearly reporting covering two distinct periods: Period 1 encompasses January through June data collection and submission, while Period 2 covers July through December activities. Additionally, custodians submit annual accumulation figures representing January through December consolidated data enabling annual performance assessment and year-over-year comparisons supporting trend analysis and program evaluation across temporal dimensions relevant for policy adjustments and resource allocation decisions.

Validation procedures involve multiple review stages ensuring data quality and completeness before public release. Provincial authorities conduct initial validation of district/city submissions checking internal consistency, completeness, and alignment with previous reporting periods. Ministry staff perform secondary validation examining provincial aggregations, identifying outliers, and verifying calculation methodologies. Validation feedback provides specific guidance for corrections, enabling iterative improvement cycles where submitting authorities address identified issues and resubmit refined data until achieving validation approval status qualifying information for publication and analytical use.

System Architecture and Data Collection Methodology

SIPSN technical architecture comprises web-based platform accessible through standard internet browsers enabling data custodians from participating municipalities to access system functions including data input, reporting generation, spatial visualization, and performance dashboard review. Platform URL https://sipsn.menlhk.go.id provides public access to aggregated data visualizations and downloadable reports, while authenticated login portal at https://sipsn.menlhk.go.id/sipsn/login enables authorized users to access data entry and management functions requiring credential authentication for security and accountability purposes.

Data collection methodology follows structured approach capturing information across multiple categories requiring systematic input through sequential forms guiding users through complete data submission process. Initial municipal data input establishes baseline information including administrative details, population figures, geographical characteristics, institutional arrangements, budget allocations, equipment inventories, and strategic targets defining municipal waste management context. Subsequent data entry focuses on waste generation characteristics, facility operations, reduction programs, and outcome metrics enabling comprehensive system performance assessment.

Core Data Categories in SIPSN Framework

Municipal Profile Information:

• Administrative boundaries and geographic coordinates

• Population data by demographic categories

• Urban classification (metropolitan, large, medium, small)

• Institutional structure and personnel assignments

• Contact information for data custodians

• Strategic planning documents and regulations

Waste Generation Data:

• Total waste generation in tons per year and per day

• Waste composition percentages by material type

• Source distribution across sectors

• Calculation methodologies and assumptions

• Seasonal variation patterns if documented

• Historical data for trend analysis

Infrastructure and Equipment:

• Collection vehicle inventory by type and capacity

• Operational status and service frequency

• Transfer station locations and specifications

• Final disposal site characteristics

• Maintenance facilities and workshops

• Equipment procurement and replacement plans

Facility Operations:

• Waste bank operations and membership

• 3R facility processing volumes

• Composting activities and output production

• Informal sector participation

• Special waste handling arrangements

• Energy recovery installations

Performance Metrics:

• Waste reduction achievement percentages

• Waste handling coverage rates

• Service area population served

• Budget execution and expenditure patterns

• Regulatory compliance status

• Program targets versus actual outcomes

Waste generation estimation methodologies employ either calculation-based approaches using population figures and per capita waste generation factors, or measurement-based approaches utilizing actual weighing data from facilities and collection operations. Calculation method applies standardized generation rates ranging from 0.5 to 0.8 kilograms per person per day depending on urban classification, multiplied by total population to estimate daily and annual waste generation figures. Measurement approach requires systematic weighing at facilities including transfer stations, final disposal sites, or processing facilities recording actual waste quantities entering system providing more accurate figures but requiring equipment investment and operational procedures many municipalities struggle implementing consistently.

Waste composition data collection follows sampling methodologies analyzing material categories including organic waste (food waste, yard waste), paper and cardboard, plastics, metals, glass, textiles, hazardous materials, and residual fractions. Analysis identifies dominant waste streams informing processing technology selection, facility design specifications, and program targeting decisions. SIPSN data shows food waste consistently representing 39-40% of total waste composition across Indonesian municipalities, followed by plastics at 19.65% as of 2024 showing increasing trend from 15.88% in 2019, indicating changing consumption patterns and packaging use requiring targeted reduction programs.1

Data Input Process and Quality Control Framework

Data input process follows systematic workflow guiding municipal operators through sequential steps ensuring complete information submission and internal consistency checks before provincial validation stages. Technical guidance documentation provides detailed instructions with screenshots, field definitions, calculation formulas, and troubleshooting guidance supporting operators through data entry process particularly important for municipalities with limited technical capacity or infrequent system interaction creating familiarity challenges requiring clear procedural documentation.

Initial step requires operators to create periodic data records specifying reporting year and period (Period 1 or Period 2) establishing temporal context for subsequent data entry. Municipal profile information input includes administrative details, population statistics, geographic coordinates using decimal degree format (e.g., latitude -6.20711, longitude 106.79956), contact information for responsible officials, and institutional arrangements. Target and achievement sections document strategic planning figures from regional waste management strategies (Jakstrada) alongside actual performance outcomes enabling gap analysis and program evaluation supporting accountability and continuous improvement initiatives.

Data Entry Workflow Sequence

Step 1 - Municipal/District Profile:

• Create new periodic data record for reporting period

• Input general information and institutional details

• Enter population data and urban classification

• Specify contact information for data custodian

• Upload supporting regulatory documents

• Save profile information before proceeding

Step 2 - Targets and Achievements:

• Enter waste reduction targets from strategic plans

• Input waste handling coverage targets

• Record actual achievement percentages

• Select waste generation estimation methodology

• Enter generation figures in tons per year

• Document calculation assumptions used

Step 3 - Waste Composition and Sources:

• Enter waste composition percentages by material type

• Verify composition percentages total 100%

• Input source distribution across sectors

• Document households, markets, commercial areas

• Record public facilities and industrial contributions

• Validate source totals match generation figures

Step 4 - Budget and Resources:

• Enter total municipal budget figures

• Input environmental budget allocations

• Record waste management specific budget

• Document disposal site operational budgets

• Enter personnel numbers and assignments

• Track expenditure execution percentages

Step 5 - Infrastructure and Equipment:

• Enter collection vehicle inventory by type

• Record operational versus total unit quantities

• Input vehicle capacity specifications

• Document daily trip frequencies per vehicle

• Record transfer station and facility data

• Update equipment condition assessments

Step 6 - Validation and Submission:

• Review entered data for completeness

• Verify internal calculation consistency

• Upload signed official reports as PDF

• Submit validation request to provincial level

• Respond to validation feedback if required

• Obtain final validation approval status

Quality control mechanisms include automated validation checks within system preventing common data entry errors such as composition percentages exceeding 100%, operational vehicle quantities exceeding total inventory, or achievement percentages outside reasonable ranges. System highlights problematic fields in red requiring correction before submission completion. Additional validation involves comparing reported figures against previous periods identifying substantial variations requiring explanation or documentation supporting significant changes in generation rates, composition patterns, or facility performance metrics.

Facility-specific data entry follows parallel workflow where operators first establish facility master records in "general data" section documenting facility name, type, location coordinates, establishment date, operating permits, organizational structure, and physical characteristics. Periodic data entry then references existing facility records enabling temporal tracking of facility performance across reporting periods. Facility types include waste banks recording collection volumes and member participation, 3R facilities (TPS3R, PDU, ITF) documenting processing activities and output generation, composting operations tracking input materials and compost production, final disposal sites recording waste receipts and landfill operations, informal sector actors contributing to material recovery, and energy recovery facilities converting waste to energy or fuel products.

Waste Reduction Program Documentation and Calculation Methodologies

Waste reduction component within SIPSN addresses prevention activities minimizing waste generation at source through behavior change, product design modification, and consumption pattern adjustments distinguishing reduction from recycling and reuse activities. Ministry guidance document "Guidelines for Calculating Waste Reduction Prevention" (Pedoman Penghitungan Pembatasan Timbulan Sampah) provides methodological framework enabling municipalities to quantify reduction achievements from programs including plastic bag restrictions, single-use item bans, reusable container promotion, and event waste minimization initiatives.5

Calculation approaches estimate waste prevention quantities by documenting baseline consumption of targeted items multiplied by item weights, then subtracting consumption levels following intervention implementation. For example, hotel adopting reusable water bottle policies instead of providing disposable plastic bottles calculates reduction by multiplying room occupancy rates by typical bottle provision (2 bottles per room), bottle weight (17 grams per 600ml bottle), and operational days yielding annual prevention figures in kilograms. Critical requirement involves converting event-based prevention (occurring specific days) to daily averages by dividing by 365 days enabling consistent comparison across municipalities and reporting periods.

Waste Reduction Calculation Examples:

Hotels and Accommodation:
• Document room occupancy rates per semester
• Calculate typical bottled water provision per room
• Apply standard bottle weight (17 grams per unit)
• Multiply occupancy × bottles × weight × days
• Convert annual figure to daily average
• Sum across participating hotel facilities

Restaurants and Food Service:
• Record customer counts during reporting period
• Document single-use items eliminated (straws, containers)
• Apply standard weights per item type
• Calculate customer visits × items × weight
• Aggregate across participating establishments
• Convert to daily prevention figures

Retail and Markets:
• Estimate typical shopping bag use before restrictions
• Survey customers using reusable bags after restrictions
• Calculate reduction percentage × customer visits
• Apply plastic bag weight (0.003 kg per bag)
• Document enforcement mechanism effectiveness
• Compare year-over-year consumption changes

Schools and Educational Institutions:
• Document student enrollment numbers
• Record prohibition of single-use containers
• Estimate typical daily consumption per student
• Apply standard weights for bottles, food containers
• Calculate students × daily use × weight × school days
• Convert to annual and daily prevention figures

Community Events and Activities:
• Record event attendance and duration
• Document reusable service ware implementation
• Calculate single-use items prevented per participant
• Apply standard weights for plates, cups, utensils
• Sum prevention across multiple events
• Convert event totals to daily averages dividing by 365

Specific calculation methodologies address different reduction activities documented in SIPSN system. Plastic bag reduction at retail locations requires surveying customer behavior documenting percentage using reusable bags, multiplying by total customer visits, and applying standard plastic bag weights varying by size (0.5kg equals 60 bags for small sizes, 1kg equals 80 bags for larger bags). School programs eliminating bottled water and disposable food containers calculate student enrollment multiplied by typical daily consumption, bottle or container weights, and operational days yielding substantial prevention figures when aggregated across multiple schools implementing policies. Religious holiday initiatives like qurban meat distribution without plastic bags estimates packages distributed multiplied by typical plastic bag weight (20 grams per bag) then divided by 365 for daily average since event occurs annually.

Common challenges include municipalities reporting unrealistic prevention figures not supported by actual monitoring data, repetitive use of same estimates year after year without updating based on changing conditions, and inconsistencies between district-wide figures and capital city subset figures requiring alignment. Validation processes identify these issues requiring municipalities to provide documentation supporting reported prevention quantities such as enforcement records from plastic bag restrictions, participation logs from reusable container programs, or photographic evidence from waste minimization events. Improved documentation practices and more rigorous monitoring mechanisms strengthen data quality enabling more accurate tracking of Indonesia's progress toward 30% waste reduction target by 2025 under Presidential Regulation 97/2017 framework.

Analytical Dashboard and Data Visualization Capabilities

SIPSN public interface at https://sipsn.kemenlh.go.id/sipsn/ provides comprehensive dashboard visualizing national and regional waste management data through interactive charts, maps, and statistical summaries accessible without authentication enabling public access supporting transparency and stakeholder awareness. Dashboard homepage presents national overview statistics including total participating municipalities, aggregate waste generation figures, reduction achievement percentages, handling coverage rates, and facility counts providing quick snapshot of national waste management status updated as municipalities submit validated data throughout reporting cycles.

Interactive filtering capabilities enable users to select specific provinces, districts, reporting years, and periods customizing data displays for focused analysis on particular regions or timeframes. Waste composition charts present material distribution using pie charts or bar graphs showing percentages for food waste, plastics, paper, metals, glass, textiles, hazardous materials, and other categories. Source distribution visualizations illustrate waste generation contributions from households, markets, offices, commercial establishments, public facilities, industrial areas, and special zones informing targeted intervention program development addressing dominant sources requiring attention.

Dashboard Visualization Components:

National Statistics Summary:
• Total waste generation tons per year
• Daily generation rate calculations
• Number of reporting municipalities
• Waste reduction achievement percentage
• Waste handling coverage percentage
• Target versus actual performance comparison

Composition Analysis Charts:
• Material type distribution pie charts
• Temporal trends showing composition changes
• Regional variations in composition patterns
• Organic versus inorganic proportions
• Recyclable material quantities
• Hazardous waste percentages

Facility Distribution Maps:
• Geographic locations of waste banks
• 3R facility spatial distribution
• Final disposal site locations
• Composting operation coverage
• Informal sector activity areas
• Service coverage visualizations

Performance Indicators:
• Municipal ranking by reduction achievement
• Handling coverage comparisons across regions
• Budget allocation versus performance analysis
• Equipment availability per population served
• Facility capacity versus demand assessment
• Trend lines showing progress over time

Report Generation Functions:
• Waste management balance sheet exports
• Achievement summary reports
• Facility data detailed listings
• PDF report generation with signatures
• Excel data export capabilities
• Customizable report parameters

Spatial visualization tools provide interactive maps displaying facility locations marked with coordinates enabling geographic analysis of infrastructure distribution, service coverage patterns, and regional capacity assessments. Maps support zooming to specific areas revealing detailed facility information including names, addresses, establishment dates, operational status, and performance metrics. Color coding differentiates facility types (waste banks appear differently from final disposal sites) enabling quick visual assessment of infrastructure diversity across regions. Gap analysis becomes possible by overlaying service area boundaries with population density data identifying underserved areas requiring new facility development or service expansion initiatives.

Report generation capabilities enable authenticated users to produce formatted PDF documents suitable for official submission including signed cover pages, data tables, statistical summaries, and analytical charts supporting annual reporting requirements, performance assessments, and budget justification documentation. Excel export functions allow downloading raw data for offline analysis using spreadsheet tools, statistical software, or business intelligence platforms enabling sophisticated analytics beyond built-in dashboard capabilities. These export features prove particularly valuable for researchers, consultants, and businesses requiring detailed data for market analysis, feasibility studies, competitive assessments, or technology selection decisions informed by actual waste stream characteristics and facility performance metrics.

Implementation Challenges and Data Quality Considerations

SIPSN implementation experiences reveal numerous challenges affecting data quality, reporting compliance, and system utilization requiring attention from system administrators, participating municipalities, and technical support providers. Fundamental issue involves limited technical capacity among municipal staff assigned as data custodians or operators, particularly in smaller districts lacking dedicated waste management personnel or information technology support. Staff turnover creates institutional knowledge loss as trained operators leave positions requiring repetitive training cycles consuming limited resources and creating gaps in data continuity when new staff require orientation before achieving proficiency.

Data availability constraints significantly impact reporting quality, with many municipalities lacking systematic waste generation monitoring through weighbridge installations at disposal sites or collection operations. Absence of actual measurement data forces reliance on estimation methodologies using per capita generation factors that may not accurately reflect local conditions varying by economic development levels, consumption patterns, informal sector recovery activities, and geographic factors. Waste composition data particularly challenging to obtain requiring periodic sorting studies municipalities rarely conduct systematically, leading to repetitive use of previous year figures or assumptions not reflecting current waste stream characteristics affecting facility planning and program targeting decisions.

Common Data Quality Issues and Challenges

Generation Data Challenges:

• Lack of weighbridge equipment for measurement

• Inconsistent estimation methodology application

• Population data accuracy and currency issues

• Informal sector recovery quantities not captured

• Seasonal variation not adequately documented

• Urban growth rates exceeding data updates

Composition Analysis Limitations:

• Infrequent sorting studies updating composition

• Small sample sizes not statistically representative

• Sorting methodology variations across municipalities

• Temporal changes not reflected in static figures

• Source-specific composition rarely differentiated

• Hazardous waste often underreported or ignored

Facility Performance Reporting:

• Inconsistent record keeping at facility level

• Missing weighing data for input and output quantities

• Operational status not updated reflecting closures

• Equipment condition assessments subjective

• Processing efficiency metrics rarely calculated

• Environmental compliance data incomplete

Reduction Program Documentation:

• Prevention quantities estimated without monitoring

• Baseline consumption rates not documented

• Enforcement effectiveness not verified systematically

• Behavior change assumptions not validated

• Event-based programs counted multiple times

• Unrealistic figures not supported by evidence

System Access and Usage:

• Limited internet connectivity in remote areas

• Staff unfamiliarity with data entry procedures

• Delayed reporting missing submission deadlines

• Incomplete data requiring multiple revisions

• Validation feedback not addressed promptly

• Documentation requirements creating burden

Validation processes reveal common problems requiring correction including waste reduction prevention figures exceeding reasonable percentages of total generation (some municipalities report prevention quantities larger than entire waste generation volumes creating impossible scenarios), operational vehicle quantities exceeding total inventory (more vehicles reported operating than actually owned), and composition percentages totaling substantially above or below 100% indicating data entry errors or conceptual misunderstandings about percentage calculations requiring additional training and clearer guidance.

Organizational challenges include unclear responsibility assignments where waste management functions span multiple departments without coordinated data collection mechanisms, inadequate budget allocations preventing equipment purchases needed for systematic monitoring, and competing priorities where waste management data reporting receives lower attention than other municipal functions affecting reporting timeliness and quality. Provincial-level validation capacity limitations create bottlenecks when submission volumes exceed review capabilities during deadline periods, delaying feedback to municipalities and compressing timeframes for addressing validation issues before reporting deadlines expire.

Addressing these challenges requires multi-pronged approaches including sustained technical capacity building through regular training programs, development of simplified guidance materials with practical examples and screenshots, establishment of peer learning networks enabling municipalities to share experiences and solutions, provision of adequate equipment and technology supporting systematic data collection at source, and institutional strengthening ensuring clear responsibility assignments and adequate resource allocations supporting consistent reporting cycles. Ministry efforts to improve data quality include developing calculation tools, providing direct technical assistance, organizing workshops, and establishing help desk functions responding to user questions, though resource constraints limit reach particularly to most remote or resource-limited municipalities requiring greatest support achieving consistent participation in national system.

Business Applications and Strategic Insights from SIPSN Data

SIPSN data provides valuable intelligence for businesses operating across waste management value chain including collection service providers, processing technology vendors, facility operators, equipment manufacturers, consulting firms, and investors evaluating opportunities in Indonesian waste sector. Comprehensive municipality-level data enables market assessment identifying underserved areas representing expansion opportunities, waste composition analysis informing technology selection matching local waste stream characteristics, and facility performance benchmarking establishing realistic targets for new operations competing in regional markets.

Collection service providers analyze generation rates, source distributions, and existing infrastructure gaps identifying municipalities requiring private sector partnerships supplementing limited government service coverage. Urban growth patterns visible through temporal data comparisons indicate emerging demand in expanding residential areas, commercial developments, and industrial zones requiring responsive service expansion. Equipment inventory data reveals municipalities with aging collection fleets approaching replacement cycles creating opportunities for vehicle sales, leasing arrangements, or maintenance service contracts aligned with municipal budget cycles and procurement schedules visible through budget allocation reporting.

Strategic Business Applications:

Market Assessment and Targeting:
• Identify municipalities with service coverage gaps
• Analyze waste generation growth trajectories
• Evaluate infrastructure investment requirements
• Assess competitive landscape from facility data
• Project market demand from demographic trends
• Prioritize expansion locations by opportunity size

Technology Selection and Facility Design:
• Match processing technologies to composition data
• Size facilities based on generation quantities
• Optimize collection systems using spatial data
• Design sorting facilities for material mix encountered
• Select composting approaches suited to organic content
• Plan capacity accounting for growth projections

Competitive Intelligence and Benchmarking:
• Compare facility performance across regions
• Identify best practice operators achieving high efficiency
• Analyze successful program models for replication
• Assess pricing competitiveness using budget data
• Study equipment configurations effective in context
• Understand regulatory compliance approaches

Partnership and Investment Opportunities:
• Identify municipalities seeking private partnerships
• Evaluate government budget capacity for contracts
• Assess institutional readiness for collaboration
• Analyze risk factors from historical performance
• Structure proposals based on documented needs
• Project financial viability using actual data

Policy Advocacy and Strategic Positioning:
• Demonstrate sector challenges requiring support
• Quantify infrastructure investment requirements
• Identify policy barriers limiting effectiveness
• Propose evidence-based regulatory improvements
• Document successful intervention outcomes
• Build industry coalition around shared interests

Processing facility developers utilize composition data determining feedstock availability and characteristics for specific technologies including composting operations requiring high organic content, refuse-derived fuel production requiring calorific value materials, recycling facilities processing recovered materials, and waste-to-energy installations requiring minimum waste qualities. Material recovery potential analysis using recyclable content percentages projects revenue streams from material sales offsetting operating costs and improving financial viability of recovery operations. Spatial analysis identifies optimal facility locations balancing feedstock availability, transportation costs, land availability, and market access for recovered products or energy sales.

Consulting firms leverage SIPSN data supporting client assignments including feasibility studies for facility development requiring waste characterization, strategic planning exercises requiring baseline data and gap analysis, environmental impact assessments documenting existing conditions and projected changes, technology evaluations comparing alternatives using actual waste characteristics, and performance improvement programs benchmarking current status against achievable targets based on peer municipality experiences. Data availability through centralized system reduces primary data collection requirements, accelerates study timelines, and improves analysis quality compared to relying solely on limited local data often incomplete or outdated.

Investors evaluating waste management opportunities assess market fundamentals including total addressable market size from generation volumes, growth trajectories indicating expanding demand, existing capacity utilization revealing supply-demand imbalances, and regulatory support environments affecting operating conditions and revenue stability. Public-private partnership opportunities become identifiable through municipal financial data showing budget constraints limiting government-only approaches, while facility performance variation demonstrates operational risk factors requiring consideration in investment decisions. Comparative analysis across regions enables portfolio strategies diversifying investments across multiple markets with varying characteristics, growth potential, and competitive dynamics balancing risk and return optimization objectives.

Case Study: Utilizing SIPSN for Regional Waste Management Planning
Provincial Planning Analysis: Leveraging SIPSN Data for Regional Strategy

Context and Baseline Assessment

Provincial waste management planning exemplifies SIPSN analytical applications where aggregated district and city data inform regional infrastructure development strategies, inter-municipal cooperation arrangements, and resource allocation priorities addressing waste management challenges exceeding individual municipal capacity or benefiting from economies of scale through regional approaches.

Initial analysis extracts SIPSN data for all districts within province boundary examining generation quantities, composition patterns, existing facility locations and capacities, service coverage rates, budget allocations, and equipment inventories establishing comprehensive baseline understanding current state.

Regional Planning Analysis Framework

Phase 1 - Data Extraction and Baseline Assessment:
• Extract all district/city data for province
• Calculate provincial aggregates and averages
• Identify data quality issues requiring verification
• Map existing facilities and service coverage
• Analyze generation and composition variations
• Document infrastructure gaps and deficiencies

Phase 2 - Gap Analysis and Needs Assessment:
• Compare service coverage against targets
• Calculate unserved population quantities
• Identify facility capacity shortfalls
• Assess equipment replacement requirements
• Evaluate institutional capacity constraints
• Quantify financial resource gaps

Phase 3 - Regional Facility Planning:
• Analyze clustering opportunities for shared facilities
• Evaluate transportation distances and costs
• Consider land availability and site suitability
• Project waste volumes for capacity sizing
• Assess technology alternatives for waste types
• Develop phased implementation sequences

Phase 4 - Financial and Institutional Analysis:
• Aggregate municipal budgets for sector spending
• Calculate cost sharing formulas for regional facilities
• Evaluate financing options including PPP structures
• Assess affordability using revenue projections
• Develop institutional arrangements for cooperation
• Establish governance mechanisms for shared assets

Phase 5 - Implementation Planning and Monitoring:
• Prioritize investments by need and feasibility
• Develop procurement strategies and timelines
• Establish performance indicators and targets
• Design monitoring systems using SIPSN
• Plan capacity building and technical assistance
• Create feedback loops for adaptive management

Key Findings and Strategic Insights

Data reveals significant variations: capital city generates 45% of provincial waste from 25% of population reflecting higher per capita generation in urban setting, while rural districts show lower generation but also lower coverage rates indicating underserved populations requiring attention.

Composition analysis shows capital city waste contains higher plastic and paper percentages compared to rural areas with greater organic content suggesting different processing approaches suit different contexts.

Regional facility analysis using spatial data identifies opportunities for shared infrastructure serving multiple small districts where individual facilities prove financially unviable, reducing per-ton processing costs 35% compared to individual facilities through economies of scale.

Implementation Outcomes

Financial planning aggregates budget data across municipalities identifying total sector spending of IDR 175 billion annually across province, revealing 65% expenditure on collection and transportation while only 15% on processing and 20% on disposal indicating imbalance requiring adjustment.

Regional facility development enables shifting resources toward processing investments improving diversion from disposal while potentially reducing long-term costs through material recovery revenue and extended disposal site lifespans.

Cost sharing arrangements apportion regional facility expenses proportional to waste quantities contributed ensuring equitable burden distribution while incentivizing source reduction through pay-as-you-throw principles.

Integration with National Policy Framework and Performance Targets

SIPSN supports implementation monitoring for Indonesia's national waste management policy framework established through Presidential Regulation 97/2017 concerning National Waste Management Policy and Strategy (Kebijakan dan Strategi Pengelolaan Sampah Nasional - Jakstranas). Regulation sets ambitious target of 30% waste reduction and 70% waste handling by 2025, requiring substantial improvements from 2015 baseline of 7% reduction and 48% handling achievement recorded at policy establishment. System enables tracking municipal progress toward targets, identifying high performers demonstrating successful approaches worth replication, and revealing lagging municipalities requiring targeted support achieving policy objectives.

Waste reduction component encompasses three elements defined in Government Regulation 81/2012: waste generation prevention limiting quantities produced through consumption changes and product design modifications, recycling converting waste into new products through processing, and reuse extending material lifespans through multiple use cycles before disposal. SIPSN separately tracks these components enabling disaggregated analysis of contributions toward overall 30% reduction target. Current data shows prevention activities remain limited with most reduction coming from recycling through waste bank operations, informal sector material recovery, and 3R facility processing suggesting greater emphasis needed on upstream prevention strategies requiring producer responsibility programs, consumer behavior change, and regulatory interventions limiting problematic packaging types.

National Target Monitoring Framework:

Waste Reduction Target (30% by 2025):
• Prevention: Source reduction through behavior change
• Recycling: Material recovery and processing
• Reuse: Product lifespan extension programs
• Calculation: (Prevention + Recycling + Reuse) / Total Generation
• Baseline: 7% achieved in 2015
• Progress tracking: Municipal and national aggregates

Waste Handling Target (70% by 2025):
• Collection: Organized waste pickup services
• Transportation: Transfer and delivery to facilities
• Processing: Treatment and transformation activities
• Disposal: Sanitary landfilling practices
• Calculation: Waste Handled / Total Generation
• Progress tracking: Service coverage populations

Supporting Indicators:
• Facility availability: Units per population served
• Budget allocation: Expenditure per capita
• Personnel capacity: Staff numbers and qualifications
• Equipment adequacy: Vehicles per service area
• Regulatory compliance: Permit status and violations
• Service quality: Customer satisfaction and complaints

Data Utilization for Policy Adjustment:
• Identify effective program models for scaling
• Recognize municipalities requiring additional support
• Allocate national resources to priority areas
• Adjust timelines if targets proving unattainable
• Develop targeted interventions addressing bottlenecks
• Communicate progress transparently to stakeholders

Waste handling target of 70% encompasses collection, transportation, processing, and disposal activities managing waste through organized systems rather than uncontrolled dumping or burning. SIPSN tracks handling percentages calculated as total waste managed through facilities divided by total generation, with 2024 data showing national average approaching 55% indicating progress toward target though requiring acceleration in remaining timeframe. Variations across municipalities range from over 80% handling in well-resourced urban centers to below 20% in remote rural areas lacking infrastructure and resources, highlighting implementation challenges requiring differentiated support strategies addressing diverse local contexts.

Marine plastic pollution reduction target established through Presidential Regulation 83/2018 concerning Marine Waste Management (Penanganan Sampah Laut) sets objective of 70% reduction in marine plastic debris by 2025 from 2017 baseline. SIPSN contributes monitoring through tracking plastic waste generation, recycling rates, and coastal area management activities though marine monitoring occurs primarily through separate systems managed by Ministry of Marine Affairs. Integration between terrestrial waste management data from SIPSN and marine monitoring systems enables comprehensive assessment of land-based plastic sources contributing to ocean pollution, informing intervention strategies targeting river systems, coastal communities, and urban areas adjacent to waterways serving as transport pathways for mismanaged plastic waste reaching marine environments.

Comprehensive Implementation Checklist for Municipal Operators
SIPSN Implementation Checklist: Complete Guide for Data Custodians

Pre-Implementation Preparation

☐ Obtain SIPSN access credentials from provincial authority

☐ Designate official data custodian and backup operator

☐ Establish coordination with waste management facilities

☐ Review previous period reports identifying data sources

☐ Gather population statistics from planning department

☐ Compile budget allocation data from finance department

☐ Inventory collection equipment and operational status

☐ Collect facility operating permits and documentation

☐ Review strategic planning targets (Jakstrada) document

☐ Schedule training session or review guidance materials

Municipal Profile Data Entry

☐ Create new periodic data record for reporting year/period

☐ Enter administrative details and geographic coordinates

☐ Input current population figures by demographic categories

☐ Specify urban classification (metropolitan, large, medium, small)

☐ Record institutional structure and personnel assignments

☐ Enter data custodian contact information accurately

☐ Upload regulatory documents (Perda, Perbup/Perwal)

☐ Verify all required fields completed before saving

☐ Review saved data confirming accuracy

☐ Proceed to target and achievement section

Waste Generation and Composition Data

☐ Select estimation methodology (calculation vs measurement)

☐ If calculation: Apply appropriate per capita generation factor

☐ If measurement: Compile weighbridge data from facilities

☐ Calculate total annual generation in tons per year

☐ Convert to daily generation rate for consistency

☐ Enter waste composition percentages by material type

☐ Verify composition percentages sum to exactly 100%

☐ Input waste source distribution across sectors

☐ Ensure source contributions match generation totals

☐ Document assumptions and calculation methodologies used

Budget and Resource Data

☐ Enter total municipal budget (APBD) figures

☐ Record environmental sector budget allocation

☐ Input waste management specific budget amounts

☐ Document disposal site operational budgets

☐ If regional TPA: Distinguish municipal vs provincial contributions

☐ Enter total personnel numbers in waste management

☐ Include all staff from management to field operations

☐ Record Green Open Space (RTH) management budget

☐ Track budget execution percentages during period

☐ Compare allocations with previous reporting periods

Infrastructure and Equipment Inventory

☐ Inventory all collection vehicles by type category

☐ Record total units owned for each vehicle type

☐ Document operational versus non-operational quantities

☐ Ensure operational units do not exceed total inventory

☐ Enter vehicle capacity specifications in cubic meters

☐ Record daily trip frequencies (ritasi) per vehicle

☐ Document transfer station locations and capacities

☐ List supporting facilities (workshops, offices)

☐ Update equipment condition assessments

☐ Note planned equipment procurement or replacement

Facility Master Data Creation

☐ Identify all facilities requiring SIPSN entries

☐ Create master records for each facility in General Data

☐ Enter facility name using consistent naming convention

☐ Record precise geographic coordinates (decimal degrees)

☐ Document establishment date and operating permits

☐ Upload facility organizational structure documentation

☐ Specify facility type (waste bank, TPS3R, TPA, etc.)

☐ Record facility capacity and design specifications

☐ Identify facility manager and contact information

☐ Verify all facility master records saved successfully

Periodic Facility Performance Data

☐ Access Periodic Data menu for facility entries

☐ Select appropriate facility from master data list

☐ Choose correct reporting year and period

☐ Use "Copy Last Data" function if continuing operations

☐ Update operational statistics (waste processed, members)

☐ Record input quantities and output production

☐ Document revenue from material sales if applicable

☐ Enter operational costs and budget expenditures

☐ Update equipment inventory at facility level

☐ Repeat for all active facilities in municipality

Waste Reduction Program Documentation

☐ Identify all prevention activities during period

☐ Document baseline consumption before interventions

☐ Calculate quantities prevented using standard weights

☐ Convert event-based prevention to daily averages

☐ Record recycling quantities from all facilities

☐ Include informal sector recovery estimates if available

☐ Document reuse program participation and impacts

☐ Ensure reduction figures supported by documentation

☐ Verify reduction not exceeding reasonable percentages

☐ Prepare supporting evidence for validation review

Report Generation and Validation Request

☐ Review all entered data for completeness

☐ Generate waste management balance sheet report

☐ Export report to PDF format for signatures

☐ Obtain signatures from Head of District/City

☐ Apply official seal/stamp to signed documents

☐ Upload signed reports to File Laporan section

☐ Access Laporan menu and select Permohonan Validasi

☐ Create validation request for reporting period

☐ Review automatically generated waste balance sheet

☐ Confirm data accuracy checkbox declaration

☐ Click Save + Send submitting validation request

☐ Monitor validation status through system dashboard

☐ Respond promptly to any validation feedback received

☐ Resubmit corrected data if validation rejected

Post-Validation Follow-up Actions

☐ Monitor email for validation decision notification

☐ Review validation feedback if data rejected

☐ Identify specific issues requiring correction

☐ Make necessary corrections in system entries

☐ Resubmit validation request with corrections

☐ If validated successfully: Download official validated report

☐ Distribute validated report to municipal leadership

☐ Use validated data for internal planning purposes

☐ Identify data collection improvements for next period

☐ Document lessons learned improving future submissions

Frequently Asked Questions (FAQ)
Common Questions About SIPSN Implementation and Usage

1. What is SIPSN and why was it developed?

SIPSN (Sistem Informasi Pengelolaan Sampah Nasional) is National Waste Management Information System developed by Ministry of Environment and Forestry to integrate waste management data from provinces and municipalities across Indonesia. System was developed responding to Government Regulation 81/2012 requirement for coordinated information system and formalized through Ministry Regulation 6/2022 establishing legal framework, technical specifications, and reporting requirements. Primary purposes include supporting evidence-based policy development, enabling performance monitoring against national targets (30% reduction, 70% handling by 2025), providing public transparency through accessible data, and facilitating coordination between governmental levels managing waste services across Indonesian administrative structure.

2. Who is required to submit data to SIPSN?

Provincial governments and district/city governments are required to submit waste management information according to their respective authorities under Indonesian administrative structure. Districts and cities submit detailed operational data covering municipalities and capital city subdistricts for district-level governments. Provinces submit provincial-level data and review/validate district/city submissions before forwarding to national level. Data submission occurs through designated data custodians (walidata) and operators assigned by head of environmental agency receiving access credentials enabling system login. All 514 districts and cities and 34 provinces throughout Indonesia are subject to reporting requirements, though actual participation rates vary with 274 municipalities actively reporting as of 2024.

3. How frequently must municipalities submit SIPSN data?

Minimum reporting frequency requires twice yearly data submission covering two semiannual periods. Period 1 covers January through June with data submission typically occurring July through August. Period 2 covers July through December with submission occurring January through February of following year. Additionally, annual accumulation figures representing full calendar year (January through December) must be submitted enabling annual performance assessment and year-over-year comparisons. Municipalities may update facility master data any time when new facilities establish or existing facilities close, ensuring current information reflects actual infrastructure available.

4. What happens if municipality misses SIPSN submission deadline?

Late submissions or non-submission affects municipality's validation status with unsubmitted periods marked as not valid preventing data publication and use in national aggregations. Provincial governments coordinate with lagging municipalities encouraging completion through reminders, technical assistance, and coordination meetings. However, system does not impose automatic penalties or financial sanctions for late submission. Primary consequences involve inability to demonstrate performance achievements potentially affecting future funding allocations, reduced data availability for municipal planning purposes, and gaps in national monitoring reducing Indonesia's capacity to track progress toward 2025 waste management targets.

5. How does waste generation estimation methodology affect reported figures?

Municipalities choosing calculation method apply per capita generation factors (typically 0.5-0.8 kg/person/day depending on urban classification) multiplied by population to estimate daily and annual waste generation. This approach provides consistent methodology enabling comparisons but may not accurately reflect local conditions. Measurement method using actual weighbridge data from facilities provides more accurate figures but requires equipment investment and systematic procedures many municipalities lack. Reported national generation of 27.74 million tons in 2024 represents mix of estimation and measurement approaches across 274 participating municipalities. Estimation accuracy affects all downstream calculations including reduction percentages, handling coverage rates, and facility capacity planning.

6. What validation process does SIPSN data undergo before publication?

Validation occurs in multiple stages ensuring data quality and completeness. Municipal operators conduct initial verification checking internal consistency before submitting validation requests to provincial level. Provincial authorities review district/city submissions examining completeness, comparing against previous periods, checking calculation methodologies, and identifying outliers or unrealistic figures requiring explanation. After provincial validation approval, Ministry staff conduct secondary validation examining provincial aggregations and performing national-level consistency checks. Iterative process continues until validation approval obtained qualifying data for publication and analytical use.

7. Can businesses and consultants access SIPSN data for commercial purposes?

Public SIPSN portal at https://sipsn.kemenlh.go.id/sipsn/ provides open access to aggregated data including national statistics, provincial summaries, municipal profiles, facility locations, and performance indicators without requiring authentication or fees. Businesses utilize this public data for market assessment, feasibility studies, competitive analysis, and investment evaluation supporting waste management sector development. Dashboard enables data filtering by location, time period, and data categories with export functions downloading reports as PDF or Excel formats enabling offline analysis.

8. How does SIPSN handle waste composition data when municipalities lack sorting studies?

Many municipalities lacking resources or expertise conducting systematic waste sorting studies rely on previous year composition figures or reference studies from comparable municipalities as proxy estimates. SIPSN accepts these approaches recognizing resource constraints though preferring actual local composition data when available. National aggregations show food waste consistently 39-40% and plastics 19.65% of total composition though substantial variations exist across regions reflecting economic development, consumption patterns, and local conditions. Municipalities implementing new programs requiring composition data should prioritize conducting at least basic sorting studies even if modest sample sizes.

9. What technical support is available for municipalities struggling with SIPSN data entry?

Ministry provides multiple support mechanisms including comprehensive technical guidance documents with screenshots and field definitions, training workshops conducted periodically at provincial or regional levels, and help desk functions responding to questions via email or telephone. Provincial environmental agencies often provide direct technical assistance to municipalities within their jurisdiction through coordination meetings, on-site support visits, or remote guidance during data entry periods. SIPSN system includes "Panduan User" (User Guide) PDF document downloadable from system covering complete data entry workflows.

10. How does SIPSN support Indonesia's target of 30% waste reduction and 70% handling by 2025?

SIPSN provides systematic monitoring mechanism tracking municipal progress toward national targets established in Presidential Regulation 97/2017. Platform enables calculating reduction percentages (prevention + recycling + reuse divided by total generation) and handling coverage (waste managed through organized systems divided by total generation) at municipal, provincial, and national levels. Regular reporting requirements create accountability mechanisms with validated data revealing performance gaps requiring targeted interventions. Current data shows Indonesia achieving approximately 55% handling coverage approaching target though reduction component remains below trajectory for 30% goal requiring accelerated prevention and recycling program implementation.

SIPSN Resources and Technical Documentation
Essential Technical Documents and Platform Access

Official SIPSN Platform

Public data dashboard and reporting portal
Access: https://sipsn.kemenlh.go.id/sipsn/

Access Public Dashboard

Authenticated Data Entry Portal

Login interface for data custodians and operators
Access: https://sipsn.menlhk.go.id/sipsn/login

Access Data Entry System

User Guide (Panduan User SIPSN)

Comprehensive data entry instruction manual with screenshots and field definitions

Download User Guide PDF

Waste Reduction Calculation Guidelines

Methodology for quantifying prevention activities (Pedoman Penghitungan Pembatasan Timbulan Sampah)

Download Calculation Guidelines

Facility Distribution Map

Interactive spatial visualization of waste infrastructure across Indonesia

Access Facility Map

Informal Sector Data

Documentation of waste bank and informal actor contributions

View Informal Sector Data

Regulatory Framework (PermenLHK 6/2022)

Legal foundation and technical specifications for SIPSN implementation

Access Regulation Details

Glossary of Key Terms and Acronyms
Essential SIPSN Terminology Reference

Key terms for understanding Indonesian waste management information system

SIPSN

Sistem Informasi Pengelolaan Sampah Nasional (National Waste Management Information System)

KLHK

Kementerian Lingkungan Hidup dan Kehutanan (Ministry of Environment and Forestry)

TPA

Tempat Pemrosesan Akhir (Final Disposal Site / Landfill)

TPS3R

Tempat Pengolahan Sampah Reduce, Reuse, Recycle (3R Waste Processing Facility)

Walidata

Data Custodian responsible for SIPSN data quality and submission

Jakstranas

Kebijakan dan Strategi Pengelolaan Sampah Nasional (National Waste Management Policy and Strategy)

Bank Sampah

Waste bank collecting recyclables from community members

Pengurangan Sampah

Waste reduction encompassing prevention, recycling, and reuse

Penanganan Sampah

Waste handling including collection, transportation, processing, and disposal

APBD

Anggaran Pendapatan dan Belanja Daerah (Regional Revenue and Expenditure Budget)

Conclusions and Strategic Implications

SIPSN represents critical infrastructure supporting Indonesia's transition toward systematic, data-driven waste management addressing challenges from rapid urbanization, growing consumption, and increasing environmental awareness requiring evidence-based policy development and performance accountability. Platform's integration of waste generation data, facility operations, program outcomes, and institutional arrangements across 514 districts and cities creates comprehensive information foundation supporting planning, monitoring, evaluation, and coordination functions essential for achieving national waste management targets of 30% reduction and 70% handling by 2025 under Presidential Regulation 97/2017 framework.

Current implementation status shows 274 municipalities actively participating as of 2024, representing approximately 53% of Indonesian districts and cities, with national waste generation recorded at 27.74 million tons annually. Household waste dominates composition at 50.8% of total, with food waste representing single largest material category at 39.67%, while plastic waste shows increasing trend from 15.88% in 2019 to 19.65% in 2024 indicating changing consumption patterns requiring targeted intervention. System architecture supporting both direct web-based input and API interoperability enables diverse participation models accommodating municipalities with varying technical capacity and existing information systems.

For businesses operating in waste management sector, SIPSN provides authoritative data source supporting market assessment, facility planning, technology selection, competitive intelligence, and partnership development activities. Municipal waste generation figures, composition characteristics, infrastructure inventories, and performance metrics inform feasibility studies, investment decisions, and service delivery strategies tailored to local contexts across diverse Indonesian regions. Public data access enables transparent analysis without requiring special permissions or fees, democratizing information previously difficult to obtain and supporting private sector engagement in waste management challenges requiring capital investment, technical expertise, and operational efficiency.

Strategic implications for Indonesian waste management sector include increased transparency enabling accountability, performance benchmarking driving competitive improvement across municipalities, evidence-based policy development replacing anecdotal decision-making, and coordinated planning addressing regional challenges through shared infrastructure and cooperative arrangements. SIPSN data demonstrates substantial variation in municipal performance from over 80% handling coverage in well-resourced urban centers to below 20% in remote rural areas, highlighting need for differentiated support strategies addressing diverse local contexts rather than one-size-fits-all approaches.

References and Data Sources:

1. Tempo Data. (2025). Penanganan Sampah di Indonesia - Waste Management in Indonesia.
https://www.tempo.co/data/data/penanganan-sampah-di-indonesia-1210880

2. Aina Mulyana. (2022). PermenLHK Nomor 6 Tahun 2022 Tentang Sistem Informasi Pengelolaan Sampah Nasional.
https://www.ainamulyana.xyz/2022/04/permenlhk-nomor-6-tahun-2022-tentang.html

3. GoodStats. (2025). Sampah Rumah Tangga Dominasi Komposisi Sampah Nasional 2024.
https://data.goodstats.id/statistic/sampah-rumah-tangga-dominasi-komposisi-sampah-nasional-2024-sQCwq

4. Jogloabang. (2022). PermenLHK 6 tahun 2022 tentang SIPSN.
https://www.jogloabang.com/lingkungan/permenlhk-6-2022-sipsn

5. Kementerian LHK. (2024). Pedoman Penghitungan Pembatasan Timbulan Sampah.
https://sipsn.menlhk.go.id/download/Panduan/Pedoman_Penghitungan_Pembatasan_Timbulan_Sampah.pdf

6. SIPSN Platform. Sistem Informasi Pengelolaan Sampah Nasional - Official Dashboard.
https://sipsn.kemenlh.go.id/sipsn/

7. Institut Teknologi Bandung. (2023). Status/Profil Persampahan Nasional Berdasarkan Data SIPSN 2022.
https://digilib.itb.ac.id/assets/files/2023/UmlzbWF5YSBGYXlpIERpZW50YV8xLnBkZg.pdf

8. JDIH Maritim. Sistem Informasi Pengelolaan Sampah Nasional (SIPSN) - Regulatory Description.
https://jdih.maritim.go.id/sistem-informasi-pengelolaan-sampah-nasional-sipsn

9. Dinas Lingkungan Hidup Buleleng. Percepatan Capaian Kinerja SIPSN.
https://dlh.bulelengkab.go.id/informasi/detail/artikel/93_percepatan-capaian-kinerja-sistem-informasi-pengelolaan-sampah-nasional-sipsn

10. Indonesia Asri. (2025). Data Sampah di Indonesia Tahun 2025.
https://indonesiaasri.com/en/education/waste-in-indonesia/

Expert Support for Waste Management Data Analytics and Strategic Planning

SUPRA International provides comprehensive consulting services for waste management information systems, data analytics, facility planning, technology assessment, regulatory compliance, and strategic program development. Our team supports municipalities, businesses, and development organizations utilizing SIPSN data for feasibility studies, market assessment, performance benchmarking, and investment analysis supporting Indonesian waste management sector advancement.

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