A practical guide to navigating Indonesia's strategic economy—from an executive big picture to verifiable provincial, sectoral and project evidence.
Principle: Overview tells you what matters. Detailed dashboards show the underlying evidence. Glossary & Methodology explain what each number means, how it was obtained and what it cannot prove.
Overview is intentionally selective, not an exhaustive duplicate of every sector dataset. Use the related links and grouped module menu on each page to reach deeper evidence.
Each module has one primary purpose. Specialist extensions stay within their parent field; old legacy redirects are not separate published products. Select a title to open the working research page.
| Your question | Start here | Verify next |
|---|---|---|
| Is Indonesia's investment outlook improving? | Home and Investment Tracker | Observed vs announced investment; BPS/BKPM evidence; date and project stage |
| Where should I examine an energy or mineral project? | Strategic Map and Critical Minerals | Asset owner, site precision, licence, operational status, installed vs actual production |
| Which Indonesian province warrants more due diligence? | Opportunity Engine | 38-provincial dossiers, provincial growth, PMTB, power and published sources |
| How unequal is expenditure in a province? | Gini Ratio | Expenditure rather than income inequality; March 2026 BPS sample, urban/rural scope |
| Is the power supply adequate for a data centre? | AI Intelligence and PLN statistics | IT load vs facility load, region capacity, reliability, grid connection and source age |
| How does international trade expose an industry? | Trade Flows | HS product codes, partner, imports/exports, same period and FOB/CIF differences |
| What regulations affect a business? | Policy & Regulatory Intelligence | Law or draft status, issuing body, effective date and linked primary register |
| What is new in climate or domestic risk? | Climate & Environment and Indonesia Intelligence | Official alert vs reported media lead; event date vs discovery date |
Use the top search on the main SLI page (shortcut Ctrl + K). Try a precise asset or province such as SPKLU Jawa Barat, Rokan, Gini Jawa Barat. Select “All dashboards” to search across the public index. A selected result leads to its source-linked module, and some datasets have exact province links.
Some source records are indexed only to their owning section, not a dedicated row panel. When this happens, the result should show its title, description and indexed source so you can identify what matched. Search is not a real-time global web search.
Read axis labels, units, vintage and population before comparing. For province plots, change one variable at a time. A correlation is descriptive and does not establish a causal impact or an investment return. “N/A” identifies unavailable data, not zero.
Filter by sector, project stage, geography and available layers. Exact site coordinates, address geocodes and province centroids have different precision. Where a record is only provincial, the map must not imply that the marker is the surveyed facility location. One asset may occur in several source registries; avoid summing overlapping counts.
Where a dashboard provides CSV or copy controls, apply your filters first and then export. CSV is a working research extract, not a certified source table. Preserve accompanying dates, units, scope, links, notes and missing-value policies. Features vary by module: absence of an export button does not imply source data are inaccessible.
The main overview and shared glossary provide EN/ID controls. Some specialist source tables retain original terminology. Switching language changes the display, not a source document, value or observation period.
| Check | Meaning | Why it matters |
|---|---|---|
| 1. Publisher / Source | BPS, PLN, ESDM, BI, BKPM, company report or editorial lead | Different evidence grades and original publication rights |
| 2. Observation period | The year/month the phenomenon was measured | 2024 observations do not become 2026 measurements after a dashboard refresh |
| 3. Release and last checked | Publisher release date vs SLI validation/refresh | A successful workflow does not certify that the underlying source changed |
| 4. Unit / denominator | MW, MWh, GWh, USD, IDR, households, villages, people, capacity | Unlike quantities cannot be added, compared or converted without assumptions |
| 5. Status / scope | Announced, financed, building, commissioned, operating; source coverage | Pipeline figures and real expenditures are not interchangeable |
| 6. Model vs observation | Measured, estimated, scenario, forecast or unverified report | Assumptions, uncertainty and causal limitations govern interpretation |
Review Data Freshness & QA for the published monitoring coverage. Not every data series has a fully automatic primary-source refresh; if a feed fails, dated data should remain dated instead of being silently presented as new.
An adjustable within-sample indicator composition, not an audited investment grade, project NPV, risk premium or financial advice. Rankings depend on chosen weights and the set of provinces included.
Descriptive cross-sections and panel associations. Gini measures expenditure inequality, which must not be read as measured income inequality. Correlations alone cannot establish causal mechanisms.
Gross output responses need a verified, relevant transactions matrix and sector definition. A user-supplied coefficient and source link do not validate a local multiplier; gross output is not an automatic addition to provincial GRDP or jobs.
Outputs change with user assumptions; scenarios are not forecasts or probabilities unless explicitly estimated and validated with suitable historical data.
Full methods, assumptions and technical vocabulary: Glossary & Methodology · Sector methods. National data use official series and source-specific caveats.
Many raw source registries currently lack dedicated record-level detail panes. The selected search item includes a focused description and source link when available; compare it against the section contents. An exact province page is available for Gini and provincial investment profiles.
Check the year, province and filters, then the module's available coverage and source freshness. An absent value is “N/A”, not zero. If a source file fails, the corresponding component may remain unavailable instead of displaying guessed numbers.
Reload the page; in desktop browsers, Ctrl + Shift + R can bypass older cached JavaScript. Compare the published dataset vintage rather than assuming the latest source release is reflected. Review the automation status.
Check the primary publisher's reuse rights, attribution requirements and original source. SLI interpretations are general research, not individualized legal, financial, engineering, securities or investment advice. Confidential/private information is excluded from public research.
Official PLN SAIDI and SAIFI 2023–2025 ↗ measure average electricity interruption duration (hours/customer/year) and interruption frequency (times/customer/year). Lower values generally mean more reliable service, but differences need source context.
Choose a year, indicator and province; click a PLN reporting unit to inspect its source. The 38-province selector is a locator, not 38 independently measured values. A shared PLN unit can cover several provinces. Batam is reported separately; the new Papua provinces have limited standalone observations.
SAIDI and SAIFI are not proof of a factory or data center's N-1 firm electrical capacity. Verify feeders, substations and local outage history before investing.
Scheduled source discovery, freshness health checks and selected structured-data refreshes run through GitHub Actions. A new news article or PDF release is a candidate for validation, not automatically a new official number. Source observation dates and publication dates are not replaced with crawler dates. See update health and review status ↗.
New SLI modules and datasets should be accompanied by updated glossary terms, reader guidance and bilingual UI validation. The EN/ID setting is shared across dashboards. Original publisher titles, quotations, proper names and some specialist source prose intentionally retain their authentic language pending curated translation.
Panduan membaca investasi, ekonomi, ketahanan energi, mineral, infrastruktur AI, risiko dan kebijakan Indonesia dengan data serta sumber yang dapat ditelusuri.
Prinsip: Overview merangkum hal penting. Dashboard khusus berisi angka, periode, satuan, sumber, serta keterbatasannya. Glosarium dan metodologi membantu memahami data dengan benar.
Gunakan menu Jelajahi Data yang tersedia di setiap halaman. Modul dikelompokkan menurut investasi, provinsi, ketahanan energi, perdagangan, mineral kritis, infrastruktur AI, geopolitik, kebijakan dan referensi.
Pencarian: gunakan pencarian SLI (Ctrl+K pada komputer), misalnya “SPKLU Jawa Barat”, “Rokan”, atau “Gini Jawa Tengah”.
Grafik: pilih indikator, periode dan wilayah, lalu klik batang, titik atau baris tabel untuk menampilkan rincian. Lokasi perkiraan pada peta bukan koordinat GPS fasilitas.
Ekspor: visual yang mendukung fitur ini menawarkan CSV, Excel, PNG, JPG, PDF dan kode embed dengan atribusi SLI. Pertahankan periode, cakupan dan sumber asli saat menggunakan hasilnya. Ekspor data mentah dapat dibatasi jika data numerik belum lengkap.
Bahasa: tombol EN/ID pada header berlaku lintas dashboard. Judul sumber, kutipan dan nama resmi tidak diubah tanpa validasi terjemahan.
N/A berarti data belum tersedia atau tidak sebanding; bukan nilai nol. Keberhasilan pembaruan sistem bukan bukti bahwa angka historis berubah.
Korelasi dan panel data menjelaskan hubungan statistik, bukan otomatis sebab-akibat. AHP bergantung pada bobot penilaian. Perhitungan multiplier memerlukan tabel input-output yang sah. Hasil Research AI tetap harus ditelusuri ke sumber, asumsi dan batasannya; bukan rekomendasi investasi yang dijamin benar.
SAIDI adalah rata-rata lama gangguan listrik (jam/pelanggan/tahun). SAIFI adalah rata-rata frekuensi gangguan (kali/pelanggan/tahun). Nilai rendah umumnya mencerminkan kesinambungan pasokan lebih baik.
Visualisasi interaktif SAIDI–SAIFI 2023–2025 ↗ menampilkan angka berdasarkan unit pelaporan PLN. Pilihan 38 provinsi membantu mencari unit terkait, tetapi bukan 38 statistik provinsi terpisah. Unit yang melayani beberapa provinsi tidak boleh dihitung sebagai nilai satu provinsi. Cakupan Batam dan provinsi baru Papua membutuhkan catatan khusus.
Untuk analisis investasi, cocokkan dengan kapasitas gardu, jalur sambungan, cadangan N-1, dan riwayat gangguan lokal.
SLI menjalankan pemeriksaan berkala terhadap dataset dan sumber. Angka dari sumber terstruktur dapat diperbarui melalui proses yang diuji. Berita, PDF baru, perubahan pejabat, serta aturan baru perlu validasi sebelum dijadikan fakta numerik atau status hukum.
Pembaruan fitur SLI harus diikuti pemeriksaan glosarium, panduan, bahasa Indonesia, sumber dan QA. Instruksi di percakapan tidak otomatis dijalankan oleh GitHub Actions sebelum diimplementasikan ke kode. Lihat kesehatan pembaruan ↗.