# Research Operating System (Research OS) > A reproducible research workspace and knowledge base exploring Indonesian public data, BPS statistics, and machine learning. > Content Version: latest | Published: 2026-09-30 ## Machine Discovery Entrypoints - Canonical Manifest: /research-manifest.json - Full Knowledge Context: /llms-full.txt - Machine System Guide: /AI_README.md - Operating Rules & Methodology: /AGENTS.md ## Machine APIs - Research Projects: /api/research - Research Candidates: /api/candidates - Catalogued Datasets: /api/datasets - Scholarly Literature: /api/literature - Document Artifacts: /api/documents - Projects & Analysis: /api/projects - Findings: /api/findings - Empirical Evidence: /api/evidence - Sources: /api/sources - Search Index: /api/search - MCP Manifest: /api/mcp ## AI Tool Interface (Remote MCP) - MCP Endpoint: /mcp - MCP Manifest: /mcp/manifest.json - Protocol: MCP Streamable HTTP (2025-11-25 compliant) / JSON-RPC 2.0 - Capabilities: tools, resources, prompts - Active Tools: search_research, get_project, get_candidate, get_literature, get_document, search_evidence, get_experiment, get_dataset, get_finding - Read-Only Guarantee: Strictly read-only; mutation tools are forbidden - Authentication: Public read-only ## Active Research Topics - Transisi Energi, Elektrifikasi & Dekarbonisasi Industri (topic-energy-transition-electrification): Eksplorasi disparitas kualitas elektrifikasi rumah tangga, elastisitas konsumsi listrik industri vs rumah tangga, dinamika captive power manufaktur, dan evaluasi kesiapan bauran energi baru terbarukan (EBT) daerah. - Ketahanan Pangan, Nilai Tukar Petani & Inflasi Volatile Foods (topic-food-security-inflation): Menghubungkan sisi hulu produksi pertanian (KSA padi, Nilai Tukar Petani/NTP) dengan stabilitas harga konsumen dan inflasi makanan (IHK Volatile Foods) di 90 kota. - Modal Manusia & Akses Layanan Dasar (Pembangunan Manusia) (topic-human-capital-development): Evaluasi pencapaian Indeks Pembangunan Manusia (IPM) pada tingkat 514 Kabupaten/Kota di Indonesia berdasarkan dimensi kesehatan (UHH), pendidikan (RLS/HLS), dan standar hidup layak. - Sosio-Ekonomi, Kemiskinan & Kerentanan Wilayah (topic-poverty-vulnerability): Eksplorasi dinamika kemiskinan, ketimpangan pengeluaran (Gini Ratio), garis kemiskinan, dan kerentanan ekonomi regional antar-provinsi dan kabupaten/kota di Indonesia. - Transformasi Struktural, Pertumbuhan PDRB & Ketenagakerjaan (topic-structural-transformation): Analisis produktivitas sektoral PDRB ADHK 2010 (industri, pertanian, perdagangan), elastisitas penyerapan tenaga kerja (Sakernas), serta perdagangan luar negeri regional. ## Catalogued Datasets (7 catalogued) - [BPS Panel Akses & Kualitas Elektrifikasi Rumah Tangga](/datasets/bps-electricity-access-panel) [Status: verified]: Panel data tahunan dan tri-tahunan mengenai sumber penerangan utama rumah tangga, ketersediaan listrik PLN vs non-PLN, dan infrastruktur penerangan jalan umum desa. (Geog: 514 Kabupaten/Kota & 34/38 Provinsi, Range: 2014–2024) - [BPS Runtun Waktu Pembangkitan & Penjualan Listrik Sektoral](/datasets/bps-electricity-consumption-generation) [Status: verified]: Data statistik ketenagalistrikan mencakup kapasitas terpasang pembangkit, produksi bruto/neto, pembelian dari IPP, dan volume penjualan tenaga listrik per golongan tarif (Industri, Rumah Tangga, Bisnis, Publik) serta captive power industri. (Geog: 34 Provinsi & Wilayah Distribusi PLN, Range: 2010–2024) - [BPS Runtun Waktu Bulanan Ketahanan Pangan, NTP & Inflasi](/datasets/bps-food-security-inflation-monthly) [Status: verified]: Dataset runtun waktu bulanan yang menghubungkan indikator harga produsen pertanian (NTP, It, Ib, KSA produksi padi) dengan indikator harga konsumen (IHK 90 Kota dan Inflasi Makanan). (Geog: 34 Provinsi Sentra Pertanian & 90 Kota Pemantauan IHK, Range: 2018-01–2024-12) - [BPS Panel Indeks Pembangunan Manusia 514 Kabupaten/Kota](/datasets/bps-human-development-district-panel) [Status: verified]: Panel data tahunan Indeks Pembangunan Manusia (IPM) beserta 3 dimensi penyusunnya (kesehatan/UHH, pendidikan/RLS-HLS, standar hidup layak/pengeluaran riil) pada 514 kabupaten/kota se-Indonesia. (Geog: 514 Kabupaten/Kota, Range: 2010–2024) - [BPS Panel PDRB, Produktivitas Sektoral & Ketenagakerjaan](/datasets/bps-pdrb-structural-transformation) [Status: verified]: Panel data triwulanan dan tahunan PDRB ADHK 2010 menurut 17 lapangan usaha, pertumbuhan ekonomi, PDRB per kapita, dan penyerapan tenaga kerja regional. (Geog: 34/38 Provinsi, Range: 2010–2024) - [BPS Panel Sosio-Ekonomi, Kemiskinan & Ketenagakerjaan](/datasets/bps-poverty-vulnerability-panel) [Status: verified]: Panel data tahunan/semesteran variabel kemiskinan, ketimpangan pengeluaran, ketenagakerjaan, dan standar hidup layak antar-provinsi dan kabupaten/kota dari Susenas dan Sakernas. (Geog: 34 Provinsi / 514 Kabupaten-Kota, Range: 2010–2024) - [ESDM & DEN Neraca Potensi dan Realisasi EBT Daerah](/datasets/esdm-ebt-regional-balance) [Status: partially-verified]: Kompilasi data sektoral capaian bauran energi baru terbarukan (EBT), kapasitas terpasang pembangkit EBT (PLTS, PLTA, PLTP, Biomassa), dan evaluasi target Rencana Umum Energi Daerah Provinsi (RUED-P). (Geog: 34 Provinsi, Range: 2015–2024) ## Scholarly Literature (5 reviewed) - [Indonesian Electricity Sector Decarbonisation: Pathways, Barriers, and Policy Choices](/api/literature/lit-burke-2019-indonesia-electricity) [Status: partially-verified]: Paul J. Burke, Saleh Abdurrahman (2019). Energy Policy. [DOI: 10.1016/j.enpol.2019.04.034] - [Declining costs make solar plus storage economical for industrial captive power](/api/literature/lit-chojkiewicz-2025-solar-storage-captive) [Status: verified]: Emilia Chojkiewicz, Nikit Abhyankar, Umed Paliwal, Amol Phadke (2025). iScience. [DOI: 10.1016/j.isci.2025.113763] - [Does electrification cause industrial development? Grid expansion and firm turnover in Indonesia](/api/literature/lit-kassem-2024-electrification-industrial-development) [Status: partially-verified]: Dana Kassem (2024). Journal of Development Economics. [DOI: 10.1016/j.jdeveco.2023.103234] - [Forecasting regional industrial production with novel high-frequency electricity consumption data](/api/literature/lit-lehmann-2024-electricity-forecasting) [Status: partially-verified]: Robert Lehmann, Sascha Möhrle (2024). Journal of Forecasting. [DOI: 10.1002/for.3116] - [Self-generation and outage losses: A firm-level analysis for emerging and developing Asian countries](/api/literature/lit-shehzadi-2024-self-generation) [Status: verified]: Anam Shehzadi, Heike Wetzel (2024). Energy Reports. [DOI: 10.1016/j.egyr.2024.02.042] ## Evaluated Research Candidates (8 proposals) - [Tipologi & Prediksi Penetrasi Captive Power Industri Manufaktur Menuju Dekarbonisasi](/discovery/candidate/cand-captive-power-industrial-transition) [Lifecycle: screening, Verification: partially-verified]: Porsi pembangkit mandiri (captive power berbasis batu bara dan solar) di kawasan industri menyumbang emisi tinggi; diperlukan pemodelan determinan pabrik yang beralih atau mempertahankan pembangkit mandiri vs on-grid PLN/EBT. - [Nowcasting Pertumbuhan PDRB Industri Pengolahan Provinsi Berbasis Sinyal Aktivitas Industri Frekuensi Tinggi (Provincial Manufacturing Nowcasting)](/discovery/candidate/cand-electricity-industrial-nowcasting) [Lifecycle: shortlisted, Verification: verified]: Apakah penambahan indikator aktivitas industri frekuensi tinggi yang tersedia pada saat prediksi mampu meningkatkan akurasi nowcast pertumbuhan PDRB industri pengolahan triwulanan tingkat provinsi di Indonesia dibandingkan model acuan benchmark yang hanya menggunakan informasi yang tersedia sebelum periode target? - [Deteksi Dini Disparitas Kualitas Elektrifikasi & Akses Energi Rumah Tangga](/discovery/candidate/cand-electrification-quality-disparity) [Lifecycle: shortlisted, Verification: verified]: Klaim Rasio Elektrifikasi administratif >99% menyamarkan kesenjangan kualitas riil, di mana rumah tangga di daerah 3T masih mengandalkan penerangan non-PLN terbatas tanpa keandalan daya untuk aktivitas produktif. - [Nowcasting & Peramalan Tekanan Inflasi Volatile Foods Berbasis Indikator Nilai Tukar Petani (NTP)](/discovery/candidate/cand-food-inflation-nowcasting) [Lifecycle: shortlisted, Verification: verified]: Lonjakan inflasi komponen makanan (volatile foods) berdampak langsung pada penurunan daya beli masyarakat rentan dan stabilitas moneter daerah, namun intervensi operasi pasar TPID sering terlambat karena menunggu rilis resmi IHK. - [Nowcasting Pertumbuhan PDRB Triwulanan & Tipologi Wilayah Berbasis Produktivitas Sektoral](/discovery/candidate/cand-pdrb-structural-nowcasting) [Lifecycle: screening, Verification: verified]: Pertumbuhan PDRB triwulanan dirilis BPS dengan jeda 5–6 minggu setelah kuartal berakhir, sehingga pemda dan pelaku bisnis membutuhkan estimasi dini berbasis indikator sektoral berfrekuensi tinggi. - [Deteksi Dini Kerentanan Kemiskinan Daerah Berbasis Indikator Ketenagakerjaan & Garis Kemiskinan](/discovery/candidate/cand-poverty-early-warning) [Lifecycle: shortlisted, Verification: verified]: Angka kemiskinan resmi (P0) dirilis dua kali setahun (Maret & September) dengan jeda publikasi, sementara guncangan ketenagakerjaan dan kenaikan harga kebutuhan pokok memerlukan penargetan bantuan sosial adaptif yang lebih cepat. - [Evaluasi Kesenjangan Potensi vs Realisasi Pembangkit EBT Daerah (RUED-P Gap)](/discovery/candidate/cand-regional-ebt-readiness-gap) [Lifecycle: screening, Verification: partially-verified]: Rencana Umum Energi Daerah (RUED-P) menargetkan bauran EBT tinggi di tiap provinsi, namun realisasi di lapangan sangat timpang antar-wilayah akibat kendala kapasitas fiskal daerah dan keterbatasan integrasi jaringan transmisi. - [Pemodelan Spasial & Analisis Hambatan Kritis (Bottleneck) IPM 514 Kabupaten/Kota](/discovery/candidate/cand-spatial-ipm-bottleneck) [Lifecycle: shortlisted, Verification: verified]: Peningkatan Indeks Pembangunan Manusia di tingkat kabupaten/kota sering terhambat oleh disparitas spasial dan ketidaktahuan pemda mengenai faktor pembatas utama (apakah kesehatan/UHH, lama sekolah, atau daya beli riil). ## Active Projects, Experiments & Findings - Active Projects: 0 (No promoted projects currently exist) - Experiment Logs: 0 - Original Findings: 0 (Strict human promotion gate enforced; candidates are proposals, not active projects) --- # FULL RESEARCH CONTEXT & SPECIFICATIONS (Version latest) ## 1. DATASETS DETAILED DICTIONARY ### Dataset: BPS Panel Akses & Kualitas Elektrifikasi Rumah Tangga (ds-bps-electricity-access-panel) - Slug: bps-electricity-access-panel - Verification Status: verified - Domain: infrastructure - Source: src-bps - Acquisition Method: bps_mcp - Provenance: bps_mcp via Badan Pusat Statistik (BPS Indonesia) (retrieved: 2026-09-13) - Time Coverage: 2014 to 2024 (Annual / Triennial) - Granularity: Kabupaten/Kota × Tahun - Variables: * persentase_rt_listrik_pln_meteran (numeric, role: feature): Persentase rumah tangga dengan sumber penerangan listrik PLN menggunakan meteran mandiri (Susenas) [unit: %] * persentase_rt_listrik_pln_non_meteran (numeric, role: feature): Persentase rumah tangga dengan listrik PLN tanpa meteran mandiri / menyalur (Susenas) [unit: %] * persentase_rt_listrik_non_pln (numeric, role: target): Persentase rumah tangga menggunakan listrik non-PLN (genset swasta/komunal, turbin mikro) [unit: %] * persentase_rt_bukan_listrik (numeric, role: target): Persentase rumah tangga tanpa listrik / pelita / panel surya mandiri terbatas [unit: %] * desa_pengguna_listrik (numeric, role: feature): Jumlah desa/kelurahan menurut keberadaan keluarga pengguna listrik (Podes Tabel 1759) [unit: Desa] * persentase_penduduk_miskin_p0 (numeric, role: feature): Persentase penduduk miskin P0 tingkat kabupaten/kota [unit: %] * pdrb_per_kapita_adhk (numeric, role: feature): PDRB per kapita atas dasar harga konstan 2010 [unit: Juta Rupiah/Kapita] * topografi_keterisolasian_desa (numeric, role: feature): Rasio desa di daerah lereng/puncak atau kepulauan terpencil (Podes) [unit: %] * pdrb_kategori_d_share_provinsi_lag1 (numeric, role: feature): Pangsa PDRB Kategori D (Pengadaan Listrik dan Gas) terhadap total PDRB provinsi tahun t-1 sebagai kontrol kontekstual makro anti-leakage [unit: %] ### Dataset: BPS Runtun Waktu Pembangkitan & Penjualan Listrik Sektoral (ds-bps-electricity-consumption-generation) - Slug: bps-electricity-consumption-generation - Verification Status: verified - Domain: infrastructure - Source: src-bps - Acquisition Method: bps_mcp - Provenance: bps_mcp via Badan Pusat Statistik (BPS Indonesia) (retrieved: 2026-09-13) - Time Coverage: 2010 to 2024 (Quarterly / Annual) - Granularity: Provinsi / Wilayah Distribusi × Tahun / Triwulan - Variables: * penjualan_listrik_industri (numeric, role: feature): Volume penjualan tenaga listrik PLN kelompok tarif industri I1-I4 (MWh) [unit: MWh] * penjualan_listrik_rumah_tangga (numeric, role: feature): Volume penjualan tenaga listrik PLN kelompok tarif rumah tangga R1-R3 (MWh) [unit: MWh] * penjualan_listrik_bisnis (numeric, role: feature): Volume penjualan tenaga listrik PLN kelompok tarif bisnis B1-B3 (MWh) [unit: MWh] * kapasitas_terpasang_pembangkit (numeric, role: feature): Daya terpasang pembangkit tenaga listrik PLN dan non-PLN (MW) [unit: MW] * produksi_listrik_bruto (numeric, role: feature): Total energi listrik yang dibangkitkan (GWh) [unit: GWh] * susut_jaringan_transmisi_distribusi (numeric, role: feature): Susut tenaga listrik dalam jaringan transmisi dan distribusi (GWh / %) [unit: %] * captive_power_manufaktur (numeric, role: feature): Daya dan produksi listrik dari pembangkit mandiri industri manufaktur IBS (kWh / kVA) [unit: kVA] * pertumbuhan_pdrb_manufaktur_triwulanan (numeric, role: target): Laju pertumbuhan PDRB sektor industri pengolahan triwulanan ADHK 2010 [unit: %] ### Dataset: BPS Runtun Waktu Bulanan Ketahanan Pangan, NTP & Inflasi (ds-bps-food-security-inflation-monthly) - Slug: bps-food-security-inflation-monthly - Verification Status: verified - Domain: agriculture - Source: src-bps - Acquisition Method: bps_mcp - Provenance: bps_mcp via Badan Pusat Statistik (BPS Indonesia) (retrieved: 2026-03-05) - Time Coverage: 2018-01 to 2024-12 (Monthly) - Granularity: Provinsi / Kota IHK × Bulan observasi - Variables: * inflasi_kelompok_makanan (numeric, role: target): Inflasi Kelompok Makanan, Minuman, dan Tembakau MoM / YoY (Var ID 1890) [unit: %] * luas_panen_produksi_padi (numeric, role: target): Luas Panen, Produksi, dan Produktivitas Padi KSA (Var ID 1498 / Var ID 23) [unit: Hektar / Ton / Ku/Ha] * nilai_tukar_petani_ntp (numeric, role: feature): Nilai Tukar Petani Gabungan menurut Provinsi (Var ID 10) [unit: Indeks (Tahun Dasar)] * nilai_tukar_petani_tanaman_pangan_ntpp (numeric, role: feature): Nilai Tukar Petani Tanaman Pangan (Var ID 14) [unit: Indeks (Tahun Dasar)] * indeks_harga_diterima_petani_it (numeric, role: feature): Indeks Harga yang Diterima Petani (Var ID 11) [unit: Indeks] * indeks_harga_dibayar_petani_ib (numeric, role: feature): Indeks Harga yang Dibayar Petani (Var ID 12) [unit: Indeks] * inflasi_umum_bulanan (numeric, role: feature): Inflasi Umum Bulanan M-to-M (Var ID 1) [unit: %] * indeks_harga_konsumen_ihk (numeric, role: feature): Indeks Harga Konsumen 90 Kota (Var ID 1709) [unit: Indeks] ### Dataset: BPS Panel Indeks Pembangunan Manusia 514 Kabupaten/Kota (ds-bps-human-development-district-panel) - Slug: bps-human-development-district-panel - Verification Status: verified - Domain: social - Source: src-bps - Acquisition Method: bps_mcp - Provenance: bps_mcp via Badan Pusat Statistik (BPS Indonesia) (retrieved: 2026-03-05) - Time Coverage: 2010 to 2024 (Annual) - Granularity: 514 Kabupaten/Kota × Tahun - Variables: * indeks_pembangunan_manusia_ipm (numeric, role: target): Indeks Pembangunan Manusia (IPM) Menurut Kabupaten/Kota (Var ID 7) [unit: Indeks (0-100)] * angka_harapan_hidup_saat_lahir (numeric, role: feature): Angka Harapan Hidup saat Lahir (Dimensi Kesehatan) (Var ID 3) [unit: Tahun] * rata_rata_lama_sekolah (numeric, role: feature): Rata-Rata Lama Sekolah Penduduk Usia 25+ (Var ID 5) [unit: Tahun] * harapan_lama_sekolah (numeric, role: feature): Harapan Lama Sekolah Penduduk Usia 7+ (Var ID 4) [unit: Tahun] * pengeluaran_per_kapita_disesuaikan (numeric, role: feature): Pengeluaran Riil per Kapita Disesuaikan (Dimensi Standar Hidup Layak) (Var ID 6) [unit: Ribu Rupiah/Tahun] ### Dataset: BPS Panel PDRB, Produktivitas Sektoral & Ketenagakerjaan (ds-bps-pdrb-structural-transformation) - Slug: bps-pdrb-structural-transformation - Verification Status: verified - Domain: economy - Source: src-bps - Acquisition Method: bps_mcp - Provenance: bps_mcp via Badan Pusat Statistik (BPS Indonesia) (retrieved: 2026-03-05) - Time Coverage: 2010 to 2024 (Quarterly / Annual) - Granularity: Provinsi × Triwulan (Q1–Q4) / Tahun - Variables: * laju_pertumbuhan_pdrb_adhk (numeric, role: target): Laju Pertumbuhan PDRB ADHK 2010 Menurut Provinsi (Var ID 291) [unit: %] * pdrb_adhk_sektoral (numeric, role: feature): PDRB Sektor Industri Pengolahan, Pertanian, Perdagangan, Konstruksi (Var ID 286) [unit: Miliar Rupiah] * pdrb_per_kapita (numeric, role: feature): PDRB ADHB / ADHK Per Kapita menurut Provinsi (Var ID 288) [unit: Juta Rupiah/Kapita] * distribusi_pdrb_daerah (numeric, role: feature): Distribusi Persentase PDRB Daerah terhadap PDRB Nasional (Var ID 289) [unit: %] * penyerapan_tenaga_kerja_sektoral (numeric, role: feature): Penyerapan Tenaga Kerja per Lapangan Usaha Sakernas (Var ID 520) [unit: Orang / %] * tingkat_pengangguran_terbuka (numeric, role: feature): Tingkat Pengangguran Terbuka Sakernas (Var ID 543) [unit: %] * nilai_ekspor_impor_daerah (numeric, role: feature): Nilai Ekspor dan Impor Daerah (Var ID 8) [unit: Juta USD] * pdrb_manufaktur_adhk_triwulanan (numeric, role: target_candidate): PDRB ADHK 2010 Kategori C Industri Pengolahan Triwulanan Menurut Provinsi (Var ID 2267) [unit: Miliar Rupiah] * ekspor_nonmigas_bulanan_provinsi (numeric, role: feature_candidate): Nilai Ekspor Nonmigas Bulanan Menurut Provinsi Asal Barang (Var ID 2346) - Proxy aktivitas industri pengolahan daerah [unit: Ribu US$] * indeks_produksi_imk_triwulanan (numeric, role: feature_candidate): Indeks Produksi Triwulanan Industri Skala Mikro dan Kecil Menurut Provinsi (Var ID 401) [unit: Indeks (2010=100)] * indeks_produksi_ibs_nasional (numeric, role: feature_candidate): Indeks Produksi Triwulanan IBS Nasional (Var ID 89 - Variabel Kontrol Makro) [unit: Indeks (2010=100)] ### Dataset: BPS Panel Sosio-Ekonomi, Kemiskinan & Ketenagakerjaan (ds-bps-poverty-vulnerability-panel) - Slug: bps-poverty-vulnerability-panel - Verification Status: verified - Domain: social - Source: src-bps - Acquisition Method: bps_mcp - Provenance: bps_mcp via Badan Pusat Statistik (BPS Indonesia) (retrieved: 2026-03-05) - Time Coverage: 2010 to 2024 (Semi-annual / Annual) - Granularity: Provinsi / Kab-Kota × Periode Semesteran (Maret & September) - Variables: * persentase_penduduk_miskin_p0 (numeric, role: target): Persentase Penduduk Miskin (P0) menurut Daerah (Var ID 184) [unit: %] * jumlah_penduduk_miskin (numeric, role: target): Jumlah Penduduk Miskin (Var ID 183) [unit: Ribu/Juta Jiwa] * gini_ratio (numeric, role: feature): Gini Ratio Menurut Provinsi dan Daerah (Var ID 98) [unit: Rasio (0-1)] * garis_kemiskinan (numeric, role: feature): Garis Kemiskinan Makanan & Non-Makanan (Var ID 182) [unit: Rupiah/Kapita/Bulan] * tingkat_pengangguran_terbuka_tpt (numeric, role: feature): Tingkat Pengangguran Terbuka (TPT) Sakernas (Var ID 543) [unit: %] * pengeluaran_per_kapita_disesuaikan (numeric, role: feature): Pengeluaran Riil per Kapita Disesuaikan (Var ID 6) [unit: Ribu Rupiah/Tahun] * rata_rata_lama_sekolah_rls (numeric, role: feature): Rata-Rata Lama Sekolah Penduduk Usia 25+ (Var ID 5) [unit: Tahun] * angka_harapan_hidup_uhh (numeric, role: feature): Angka Harapan Hidup saat Lahir (Var ID 3) [unit: Tahun] ### Dataset: ESDM & DEN Neraca Potensi dan Realisasi EBT Daerah (ds-esdm-ebt-regional-balance) - Slug: esdm-ebt-regional-balance - Verification Status: partially-verified - Domain: infrastructure - Source: src-esdm - Acquisition Method: file - Provenance: file via Kementerian ESDM & Dewan Energi Nasional (DEN) (retrieved: 2026-09-13) - Time Coverage: 2015 to 2024 (Annual) - Granularity: Provinsi × Tahun - Variables: * persentase_bauran_ebt_daerah (numeric, role: target): Realisasi persentase bauran energi baru terbarukan terhadap total bauran energi primer daerah [unit: %] * target_bauran_ebt_rued (numeric, role: feature): Target persentase bauran EBT dalam dokumen perda RUED-P provinsi [unit: %] * kapasitas_terpasang_plts (numeric, role: feature): Kapasitas terpasang pembangkit listrik tenaga surya (MWp) [unit: MWp] * kapasitas_terpasang_plta_pltmh (numeric, role: feature): Kapasitas terpasang PLTA dan PLTMH tenaga air (MW) [unit: MW] * kapasitas_terpasang_plt_biomassa (numeric, role: feature): Kapasitas terpasang pembangkit listrik tenaga biomassa dan biogas (MW) [unit: MW] * kapasitas_fiskal_daerah (numeric, role: feature): Indeks kapasitas fiskal atau rasio pendapatan asli daerah terhadap total APBD [unit: Rasio] * potensi_teknis_surya_daerah (numeric, role: feature): Potensi teknis energi surya berbasis radiasi harian rata-rata (kWh/m2/hari) [unit: kWh/m2/hari] ## 2. CANDIDATES DETAILED SPECIFICATIONS ### Candidate: Tipologi & Prediksi Penetrasi Captive Power Industri Manufaktur Menuju Dekarbonisasi (cand-captive-power-industrial-transition) - Lifecycle Status: screening - Verification Status: partially-verified - Topic: topic-energy-transition-electrification - Problem: Porsi pembangkit mandiri (captive power berbasis batu bara dan solar) di kawasan industri menyumbang emisi tinggi; diperlukan pemodelan determinan pabrik yang beralih atau mempertahankan pembangkit mandiri vs on-grid PLN/EBT. - Potential Target: Probabilitas adopsi captive power & rasio intensitas listrik mandiri (kWh mandiri / total kWh) - Potential Features: Subsektor Industri Pengolahan KBLI 2 Digit dan 3 Digit, Jumlah Tenaga Kerja dan Skala Nilai Tambah Bruto Pabrik, Status Permodalan Perusahaan (PMA / PMDN), Tingkat Keandalan Jaringan Listrik Regional (SAIDI / SAIFI PLN), Diferensiasi Tarif Tenaga Listrik Industri Regional - Scores: Relevance=0.85, DataEvidence=0.88, Impact=0.82, Feasibility=0.8 - Limitations: Akses mikrodata IBS level perusahaan memerlukan standardisasi pembersihan dan izin khusus data sensus BPS; Belum tersedianya inventarisasi komprehensif captive power level plant/kawasan industri yang tervalidasi sebelum riset empiris dijalankan ### Candidate: Nowcasting Pertumbuhan PDRB Industri Pengolahan Provinsi Berbasis Sinyal Aktivitas Industri Frekuensi Tinggi (Provincial Manufacturing Nowcasting) (cand-electricity-industrial-nowcasting) - Lifecycle Status: shortlisted - Verification Status: verified - Topic: topic-structural-transformation - Problem: Apakah penambahan indikator aktivitas industri frekuensi tinggi yang tersedia pada saat prediksi mampu meningkatkan akurasi nowcast pertumbuhan PDRB industri pengolahan triwulanan tingkat provinsi di Indonesia dibandingkan model acuan benchmark yang hanya menggunakan informasi yang tersedia sebelum periode target? - Potential Target: BPS Var 2267 — PDRB ADHK 2010 Kategori C Industri Pengolahan Triwulanan Menurut 38 Provinsi - Potential Features: BPS Var 2346: Nilai Ekspor Nonmigas Bulanan Menurut Provinsi Asal Barang (proxy aktivitas industri daerah, status CONDITIONAL), BPS Var 401: Indeks Produksi Triwulanan Industri Skala Mikro dan Kecil / IMK Menurut Provinsi (status CONDITIONAL), Lagged PDRB Manufaktur Triwulan t-1 dan t-2 (benchmark autoregresif), BPS Var 89: Indeks Produksi IBS Triwulanan Nasional (kontrol makro), BPS Var 2312: Nilai Ekspor Bulanan Hasil Industri Menurut Komoditas (kontrol makro), Indeks Kepercayaan Industri (IKI) Kemenperin (kontrol makro sentimen) - Scores: Relevance=0.88, DataEvidence=0.9, Impact=0.85, Feasibility=0.8 - Limitations: Scope Transition: Candidate ini bertransisi dari desain awal nowcasting berbasis listrik industri (electricity-led) menjadi nowcasting manufaktur provinsi yang lebih luas (provincial manufacturing nowcasting); ID candidate 'cand-electricity-industrial-nowcasting' dipertahankan demi menjaga integritas referensi dan identitas repositori; Electricity Layer BLOCKED sebagai predictor utama real-time high-frequency provincial nowcasting: Data penjualan/konsumsi listrik industri resmi di BPS hanya tersedia tahunan (Var 314 & 859) dengan lag rilis 12 bulan (T+12) dan tidak memiliki panel kuartalan/bulanan per provinsi pada saat prediksi; data kelistrikan historis dan tahunan tetap valid sebagai bukti kontekstual dan analisis struktural terpisah; BPS Var 2346 (Ekspor Nonmigas Provinsi) diposisikan sebagai proxy aktivitas ekonomi/industri daerah, bukan pengukuran langsung output fisik manufaktur; memuat porsi komoditas ekstraktif di provinsi berbasis sumber daya alam (seperti batubara di Kaltim/Kalsel) sehingga membutuhkan estimasi panel fixed effects dan analisis heterogenitas regional; BPS WebAPI v1 hanya menyediakan kondisi terkini (current revised state) dan bukan API time-travel/as-of; evaluasi out-of-sample wajib menggunakan first-release values yang direkonstruksi dari dokumen Berita Resmi Statistik (BRS) kontemporer untuk menghindari revision leakage; BPS Var 2346 berstatus CONDITIONAL sampai modul full vintage ingestion dari dokumen BRS selesai dibangun; BPS Var 401 (IMK Provinsi) berstatus CONDITIONAL karena verifikasi first-release dan pola revisi historisnya belum selengkap Var 2346 dan Var 2267; Target BPS Var 2267 terverifikasi pada level sampel vintage BRS, namun basis data vintage historis jangka panjang belum selesai; Indikator IBS tingkat provinsi (Jabar Var 749, Jateng Var 1817) terhenti pasca-2021 di portal daerah sehingga tidak dapat dijadikan panel provinsi langsung; Pembangkit mandiri (captive power) industri tidak dicampuradukkan dengan konsumsi listrik jaringan PLN; fenomena captive generator skala besar di luar Jawa memerlukan jalur analisis struktural terpisah; Tahap pemodelan empiris berstatus GATED sampai dataset vintage historis selesai direkonstruksi ### Candidate: Deteksi Dini Disparitas Kualitas Elektrifikasi & Akses Energi Rumah Tangga (cand-electrification-quality-disparity) - Lifecycle Status: shortlisted - Verification Status: verified - Topic: topic-energy-transition-electrification - Problem: Klaim Rasio Elektrifikasi administratif >99% menyamarkan kesenjangan kualitas riil, di mana rumah tangga di daerah 3T masih mengandalkan penerangan non-PLN terbatas tanpa keandalan daya untuk aktivitas produktif. - Potential Target: Rasio Rumah Tangga berpenerangan Non-PLN / Bukan Listrik / Menyalur (Susenas BPS) - Potential Features: PDRB ADHK per Kapita menurut Kabupaten/Kota (Lag t-1), Pangsa PDRB Kategori D Provinsi terhadap Total PDRB Provinsi (Lag t-1), Persentase Penduduk Miskin P0 Tingkat Kabupaten/Kota (Lag t-1), Rasio Desa Berlistrik dan Penerangan Jalan Desa (Podes), Topografi Keterisolasian Desa Kepulauan/Pegunungan (Podes), Alokasi Belanja Modal Infrastruktur APBD Daerah - Scores: Relevance=0.9, DataEvidence=0.95, Impact=0.88, Feasibility=0.9 - Limitations: Survei Podes dilaksanakan tri-tahunan (2014, 2018, 2021, 2024); Triennial Panel Model (4-wave murni) ditetapkan sebagai MODEL UTAMA, sedangkan panel interpolasi tahunan hanya sebagai model sekunder/eksploratif karena missingness 63.64%; Variabel jarak ke gardu induk tidak tersedia di BPS/publik; diproksikan melalui rasio penerangan jalan desa dan kemudahan transportasi Podes; Pemekaran 4 DOB Papua (2022) memerlukan penyesuaian kode wilayah referensi MFD BPS baseline 514 kabupaten/kota; 7 kabupaten pemekaran 2014 ditandai dengan flag is_backcasted: true untuk robustness check terpisah ### Candidate: Nowcasting & Peramalan Tekanan Inflasi Volatile Foods Berbasis Indikator Nilai Tukar Petani (NTP) (cand-food-inflation-nowcasting) - Lifecycle Status: shortlisted - Verification Status: verified - Topic: topic-food-security-inflation - Problem: Lonjakan inflasi komponen makanan (volatile foods) berdampak langsung pada penurunan daya beli masyarakat rentan dan stabilitas moneter daerah, namun intervensi operasi pasar TPID sering terlambat karena menunggu rilis resmi IHK. - Potential Target: Inflasi Kelompok Makanan Bulanan MoM / YoY (Var ID 1890) pada 90 Kota IHK - Potential Features: Nilai Tukar Petani Gabungan & Tanaman Pangan (Var ID 10 & 14), Indeks Harga Diterima Petani / It (Var ID 11), Indeks Harga Dibayar Petani / Ib (Var ID 12), Luas Panen & Produksi Padi KSA (Var ID 1498 / 23), Inflasi Umum Bulanan Lag 1–3 Bulan (Var ID 1) - Scores: Relevance=0.95, DataEvidence=0.9, Impact=0.95, Feasibility=0.85 - Limitations: Perubahan tahun dasar IHK pada awal 2024 membutuhkan penyambungan indeks (splicing) ### Candidate: Nowcasting Pertumbuhan PDRB Triwulanan & Tipologi Wilayah Berbasis Produktivitas Sektoral (cand-pdrb-structural-nowcasting) - Lifecycle Status: screening - Verification Status: verified - Topic: topic-structural-transformation - Problem: Pertumbuhan PDRB triwulanan dirilis BPS dengan jeda 5–6 minggu setelah kuartal berakhir, sehingga pemda dan pelaku bisnis membutuhkan estimasi dini berbasis indikator sektoral berfrekuensi tinggi. - Potential Target: Laju Pertumbuhan PDRB ADHK 2010 Triwulanan (Var ID 291) - Potential Features: PDRB ADHK Sektor Industri Pengolahan, Pertanian, Perdagangan, Konstruksi (Var ID 286), PDRB Per Kapita (Var ID 288), Distribusi Persentase PDRB Daerah (Var ID 289), Tingkat Pengangguran Terbuka & Penyerapan Tenaga Kerja (Var ID 520 / 543), Nilai Ekspor dan Impor Daerah (Var ID 8) - Scores: Relevance=0.85, DataEvidence=0.85, Impact=0.85, Feasibility=0.75 - Limitations: Jeda publikasi data triwulanan membuat ukuran sampel per provinsi terbatas pada 60 kuartal (2010–2024) ### Candidate: Deteksi Dini Kerentanan Kemiskinan Daerah Berbasis Indikator Ketenagakerjaan & Garis Kemiskinan (cand-poverty-early-warning) - Lifecycle Status: shortlisted - Verification Status: verified - Topic: topic-poverty-vulnerability - Problem: Angka kemiskinan resmi (P0) dirilis dua kali setahun (Maret & September) dengan jeda publikasi, sementara guncangan ketenagakerjaan dan kenaikan harga kebutuhan pokok memerlukan penargetan bantuan sosial adaptif yang lebih cepat. - Potential Target: Persentase Penduduk Miskin (P0 / Var ID 184) atau Klasifikasi Risiko Lonjakan Kemiskinan - Potential Features: Gini Ratio (Var ID 98), Garis Kemiskinan Makanan vs Non-Makanan (Var ID 182), Tingkat Pengangguran Terbuka / TPT (Var ID 543), Pengeluaran Riil per Kapita Disesuaikan (Var ID 6), Rata-Rata Lama Sekolah (Var ID 5), Angka Harapan Hidup (Var ID 3) - Scores: Relevance=0.9, DataEvidence=0.9, Impact=0.9, Feasibility=0.85 - Limitations: Survei Susenas agregat provinsi tidak menangkap disparitas mikro di tingkat desa tanpa integrasi Podes ### Candidate: Evaluasi Kesenjangan Potensi vs Realisasi Pembangkit EBT Daerah (RUED-P Gap) (cand-regional-ebt-readiness-gap) - Lifecycle Status: screening - Verification Status: partially-verified - Topic: topic-energy-transition-electrification - Problem: Rencana Umum Energi Daerah (RUED-P) menargetkan bauran EBT tinggi di tiap provinsi, namun realisasi di lapangan sangat timpang antar-wilayah akibat kendala kapasitas fiskal daerah dan keterbatasan integrasi jaringan transmisi. - Potential Target: Gap Realisasi Bauran EBT terhadap Target RUED (%) & Kapasitas Terpasang EBT per Kapita (kW/kapita) - Potential Features: Potensi Teknis Surya, Air, dan Biomassa Daerah (Geoportal ESDM), Kapasitas Fiskal Daerah (Rasio PAD terhadap APBD), Cadangan Daya Listrik (Reserve Margin) Sistem Kelistrikan Regional, Rasio Elektrifikasi Dasar dan Tingkat Kemiskinan Daerah - Scores: Relevance=0.86, DataEvidence=0.82, Impact=0.88, Feasibility=0.82 - Limitations: Pelaporan realisasi RUED-P provinsi oleh Dinas ESDM ke DEN memiliki jeda publikasi 1-2 tahun antar-wilayah (laporan komparatif nasional terakhir Buku Bauran Energi DEN 2022); Sebagian provinsi mengalami kekosongan data historis karena keterlambatan penetapan Perda RUED (seperti Kaltim) atau terdampak fragmentasi administrasi pemekaran 4 DOB Papua; Dokumen target Perda RUED umumnya menetapkan milestone 5 tahunan (2025/2050), sehingga memerlukan interpolasi linier target untuk panel tahunan kontinu; Data belum terverifikasi melalui MCP; ketiadaan WebAPI resmi ESDM/DEN mengharuskan verifikasi berstatus partially-verified berbasis audit dokumen manual ### Candidate: Pemodelan Spasial & Analisis Hambatan Kritis (Bottleneck) IPM 514 Kabupaten/Kota (cand-spatial-ipm-bottleneck) - Lifecycle Status: shortlisted - Verification Status: verified - Topic: topic-human-capital-development - Problem: Peningkatan Indeks Pembangunan Manusia di tingkat kabupaten/kota sering terhambat oleh disparitas spasial dan ketidaktahuan pemda mengenai faktor pembatas utama (apakah kesehatan/UHH, lama sekolah, atau daya beli riil). - Potential Target: Indeks Pembangunan Manusia / IPM (Var ID 7) atau Klasifikasi Status IPM (Sangat Tinggi, Tinggi, Sedang, Rendah) - Potential Features: Angka Harapan Hidup saat Lahir / UHH (Var ID 3), Rata-Rata Lama Sekolah / RLS (Var ID 5), Harapan Lama Sekolah / HLS (Var ID 4), Pengeluaran Riil per Kapita Disesuaikan (Var ID 6) - Scores: Relevance=0.9, DataEvidence=0.95, Impact=0.9, Feasibility=0.9 - Limitations: IPM adalah indeks komposit matematis sehingga pemodelan ML harus diarahkan pada analisis kontribusi spasial (Spatial Lag / GWR / SHAP) atau imputasi estimasi area kecil (SAE) ## 3. SCHOLARLY LITERATURE & RESEARCH GAP SYNTHESIS * Includes 5 works and 2 physical document artifacts (accessible via /api/documents). ### Literature: Indonesian Electricity Sector Decarbonisation: Pathways, Barriers, and Policy Choices (lit-burke-2019-indonesia-electricity) - Authors: Paul J. Burke, Saleh Abdurrahman (2019) - Venue: Energy Policy - DOI: 10.1016/j.enpol.2019.04.034 - Verification Status: partially-verified - Citation: Burke, P. J., & Abdurrahman, S. (2019). Indonesian electricity sector decarbonisation: Pathways, barriers, and policy choices. Energy Policy, 131, 388-397. https://doi.org/10.1016/j.enpol.2019.04.034 - Acquisition Method: web - Context: Evaluates macro policy choices and industrial grid integration challenges in Indonesia's power sector (provisional synthesis from published abstract and metadata; primary text unverified). - Methods: Semi-structured policy analysis, sectoral historical trends, and electricity balance review. - Findings: Identified high growth in off-grid captive coal capacity as a major risk factor slowing down grid-level decarbonisation commitments. - Limitations: Analysis conducted primarily at national level; lacks granular district-level panel data on captive power. - Research Gap: * Established: Macro-level policies and power purchase agreements hinder rapid renewable transition in Indonesia. * Uncertain: Extent to which industrial manufacturing plants are willing or able to retire captive fossil generation given reliability constraints. * Geographic Gap: Lacks subnational district-level econometric modeling across Outer Island industrial corridors. * Temporal Gap: Covers data up to 2018; misses post-2020 RUED implementation and recent nickel smelter captive boom. * Data Gap: Did not leverage BPS Large and Medium Industrial (IBS) microdata or Podes village electrification quality surveys. * Methodological Gap: Relied on descriptive sectoral analysis rather than causal or machine-learning nowcasting models. * Proposed Contribution: Research OS candidate cand-captive-power-industrial-transition models firm-level captive power probabilities using BPS IBS and PLN regional statistics. ### Literature: Declining costs make solar plus storage economical for industrial captive power (lit-chojkiewicz-2025-solar-storage-captive) - Authors: Emilia Chojkiewicz, Nikit Abhyankar, Umed Paliwal, Amol Phadke (2025) - Venue: iScience - DOI: 10.1016/j.isci.2025.113763 - Verification Status: verified - Citation: Chojkiewicz, E., Abhyankar, N., Paliwal, U., & Phadke, A. (2025). Declining costs make solar plus storage economical for industrial captive power. iScience, 28(11), 113763. https://doi.org/10.1016/j.isci.2025.113763 - Acquisition Method: file - Context: Evaluates techno-economic feasibility and system design of replacing planned industrial coal-fired captive power plants with solar PV plus battery energy storage in Kalimantan, Indonesia. - Methods: Techno-economic modeling, hourly solar resource and dispatch simulation, and levelized cost of energy (LCOE) sensitivity analysis under varying financing conditions, capacity factors, and subsidy structures. - Findings: Solar PV co-located with battery storage achieves an LCOE of 5.6–7.9 cents/kWh in Kalimantan, becoming cost-competitive with new captive coal. Co-location cuts storage balance-of-system and interconnection costs by up to 20%. Dedicating approximately 0.1% of Kalimantan's land area to solar+storage could substitute for 4–6 GW of planned industrial captive fossil generation. - Limitations: Techno-economic engineering simulation rather than econometric analysis of firm adoption behavior. Does not model firm decision-making, grid interconnection contractual barriers, or micro-level firm data. - Research Gap: * Established: Techno-economically, solar plus storage can achieve parity with industrial captive coal in Indonesia under supportive regulatory and financing conditions. * Uncertain: Actual empirical adoption rates, grid-interconnection willingness, and firm-level constraints across diverse manufacturing subsectors. * Geographic Gap: Focuses on Kalimantan; does not examine provincial heterogeneity across Sulawesi, North Maluku, or Java. * Temporal Gap: Projected 2024–2030 model benchmarks; does not provide historical longitudinal tracking of plant-by-plant captive additions. * Data Gap: Does not link to official BPS manufacturing census microdata (IBS) or PLN regional feeder reliability metrics. * Methodological Gap: Engineering simulation and optimization rather than microeconometric or machine learning classification of firm decisions. * Proposed Contribution: Research OS candidate cand-captive-power-industrial-transition complements this techno-economic feasibility benchmark by providing micro-level empirical modeling of firm captive adoption determinants in Indonesia. ### Literature: Does electrification cause industrial development? Grid expansion and firm turnover in Indonesia (lit-kassem-2024-electrification-industrial-development) - Authors: Dana Kassem (2024) - Venue: Journal of Development Economics - DOI: 10.1016/j.jdeveco.2023.103234 - Verification Status: partially-verified - Citation: Kassem, D. (2024). Does electrification cause industrial development? Grid expansion and firm turnover in Indonesia. Journal of Development Economics, 167, 103234. https://doi.org/10.1016/j.jdeveco.2023.103234 - Acquisition Method: web - Context: Investigates the causal impact of extensive-margin electricity grid expansion on manufacturing growth, firm turnover, and productivity in Java, Indonesia (1990–2000). - Methods: Panel instrumental variables (IV) estimation exploiting historical colonial-era electrical infrastructure and network routing topology to address endogenous grid placement across 24,824 villages (desas). - Findings: Electrification causes significant industrial growth by increasing manufacturing plant counts, employment, and output. Firm turnover is the dominant economic channel: grid connection lowers operational entry barriers and increases competitive pressure, leading to higher entry rates of productive firms and higher exit rates of unproductive incumbents. - Limitations: Focuses on historical grid electrification in Java (1990–2000) during rapid rural grid roll-out. Does not directly evaluate modern high-frequency sales nowcasting or post-2020 off-grid industrial captive power expansion outside Java. - Research Gap: * Established: Electricity grid access has a well-identified causal effect on manufacturing plant entry, productivity, and output in Java, Indonesia. * Uncertain: Whether this historical causal relationship translates into high-frequency predictive information in modern quarterly PDRB nowcasts, or whether captive generation distorts that relationship in mineral-rich provinces. * Geographic Gap: Focuses exclusively on Java; Outer Islands (Kalimantan, Sulawesi, Sumatra) with high captive generation shares remain unstudied. * Temporal Gap: Ends at year 2000; lacks analysis of post-2015 industrial estate development and modern PLN tariff classes. * Data Gap: Uses historical census panels; does not utilize modern high-frequency monthly PLN sales (Tarif Industri I1-I4) or quarterly PDRB time series. * Methodological Gap: Employs annual long-run IV econometric estimation rather than mixed-frequency real-time nowcasting or machine learning models. * Proposed Contribution: Research OS candidates build upon Kassem's causal foundation by testing short-run high-frequency nowcasting (Candidate 2) and modern industrial captive power penetration (Candidate 1). ### Literature: Forecasting regional industrial production with novel high-frequency electricity consumption data (lit-lehmann-2024-electricity-forecasting) - Authors: Robert Lehmann, Sascha Möhrle (2024) - Venue: Journal of Forecasting - DOI: 10.1002/for.3116 - Verification Status: partially-verified - Citation: Lehmann, R., & Möhrle, S. (2024). Forecasting regional industrial production with novel high-frequency electricity consumption data. Journal of Forecasting, 43(6), 1918–1935. https://doi.org/10.1002/for.3116 - Acquisition Method: web - Context: Evaluates the incremental information value of high-frequency electricity consumption data for nowcasting monthly regional industrial production in Bavaria, Germany. - Methods: Real-time pseudo-out-of-sample forecasting design, bridge equation/nowcasting framework, evaluating forecast performance across forecast horizons and comparing against conventional business survey indicators. - Findings: High-frequency electricity consumption emerges as the best-performing indicator for nowcasting current-month regional industrial production, beating conventional survey benchmarks. Even 1–2 weeks of intra-month electricity data significantly reduce forecast errors. Predictive power is strongest for the current month (nowcasting) and attenuates for longer horizons. - Limitations: Empirical setting is Bavaria, Germany—a region with near-100% grid reliability, negligible off-grid captive coal power, and high administrative data quality. Does not account for captive generation signal distortion prevalent in developing countries. - Research Gap: * Established: High-frequency electricity consumption provides significant incremental predictive value for nowcasting regional industrial production in advanced economies with reliable grid metering. * Uncertain: Whether electricity sales provide incremental predictive value for quarterly regional manufacturing PDRB in developing economies with publication vintages and captive power shares. * Geographic Gap: Evaluated solely in Germany (Bavaria); unverified across emerging Southeast Asian regional economies. * Temporal Gap: Covers monthly data up to 2021; does not reflect developing economy post-pandemic recovery patterns. * Data Gap: Relied on German transmission/distribution metering; does not test Indonesian PLN sectoral sales (Tarif Industri I1-I4) vs BPS quarterly PDRB. * Methodological Gap: Focused on monthly industrial production index; does not resolve quarterly-monthly mixed-frequency (MIDAS/DFM) nowcasting with Indonesian official release vintages. * Proposed Contribution: Research OS candidate cand-electricity-industrial-nowcasting evaluates whether PLN industrial electricity sales improve real-time nowcasts of quarterly provincial manufacturing PDRB in Indonesia using a vintage-consistent out-of-sample design. ### Literature: Self-generation and outage losses: A firm-level analysis for emerging and developing Asian countries (lit-shehzadi-2024-self-generation) - Authors: Anam Shehzadi, Heike Wetzel (2024) - Venue: Energy Reports - DOI: 10.1016/j.egyr.2024.02.042 - Verification Status: verified - Citation: Shehzadi, A., & Wetzel, H. (2024). Self-generation and outage losses: A firm-level analysis for emerging and developing Asian countries. Energy Reports, 11, 2832–2840. https://doi.org/10.1016/j.egyr.2024.02.042 - Acquisition Method: file - Context: Investigates firm-level drivers of self-generation and the economic loss mitigation effect during power outages across seven Asian emerging and developing economies (Bangladesh, China, India, Indonesia, Myanmar, Philippines, Sri Lanka). - Methods: Employs an Endogenous Switching Regression Model (ESRM) to control for unobserved self-selection bias in self-generation decisions, estimating ATT and ATU for outage losses (% of sales). - Findings: Outage frequency and electricity cost significantly increase the probability of investing in self-generation. Larger, older, and export-oriented firms have higher self-generation propensity. Self-generating firms would face 88% higher outage losses without self-generation (ATT); non-self-generating firms could reduce outage losses by 5% overall (ATU), and by 25% specifically in Indonesia. - Limitations: Focuses on binary generator ownership and generic self-generation. Does not distinguish large-scale industrial captive power plants (e.g. mineral smelters) from backup diesel generators. Does not observe captive capacity in MW or generation intensity in MWh. - Research Gap: * Established: Outage frequency, electricity costs, and firm scale/export status are significant determinants of generic firm self-generation and outage mitigation in Asian emerging markets including Indonesia. * Uncertain: Whether large-scale industrial captive generation intensity is driven by the same reliability/cost factors as generic backup generation, or by structural grid constraints and process-specific energy demands. * Geographic Gap: Evaluates national-level pooled samples without analyzing Indonesian provincial or industrial estate geographical clustering. * Temporal Gap: Relies on pre-2023 WBES survey waves; does not capture the recent post-2020 critical mineral downstreaming and industrial captive boom. * Data Gap: Uses WBES survey sample rather than comprehensive census microdata (BPS IBS) covering energy inputs and captive generation capacity. * Methodological Gap: Models binary decision via ESRM rather than continuous captive generation intensity and fuel technology choice. * Proposed Contribution: Research OS candidate cand-captive-power-industrial-transition evaluates industrial captive power intensity and fuel choice across Indonesian provinces using BPS IBS microdata and regional PLN grid metrics. ## 4. EMPIRICAL EVIDENCE & AUDIT TRAIL ### Evidence: Audit Kelayakan Empiris Electricity Layer untuk Nowcasting PDRB Manufaktur Provinsi (Status: BLOCKED) (ev-bps-electricity-nowcasting-feasibility-audit) - Type: empirical - Verification Status: verified - Reference: BPS WebAPI v1 (Var 314, Var 859, Domain 3100 Var 181/178, Domain 3200 Var 408, Domain 3500 Var 566) & Publikasi Statistik Listrik 2020-2024 (ID c4f7aade5d4801236ec79b81, Rilis 2025-12-31) - Excerpt: "Audit empiris live terhadap portal data BPS membuktikan bahwa data penjualan/konsumsi listrik industri resmi hanya tersedia pada frekuensi tahunan nasional (Var 314) atau total konsumsi provinsi tanpa pemisahan industri (Var 859). Portal daerah terfragmentasi atau mati (Jabar Var 408 berhenti 2019, Jatim Var 566 berhenti 2021), dan publikasi resmi ber-lag 12 bulan (T+12 bulan; edisi 2020-2024 baru rilis 31 Desember 2025). Oleh karena itu, Electricity Layer BLOCKED sebagai predictor utama real-time high-frequency provincial nowcasting. Bukti empiris dan literatur kelistrikan historis tetap valid sebagai konteks screening dan analisis struktural tahunan terpisah." ### Evidence: Audit Kelayakan Indikator Pengganti: Ekspor Nonmigas Provinsi (Var 2346) & IMK (Var 401) (ev-bps-provincial-export-imk-nowcasting-audit) - Type: empirical - Verification Status: verified - Reference: BPS WebAPI v1 (Var 2346, Var 401, Var 89, Var 2267) & Kalender Rilis BRS BPS 2024 - Excerpt: "Audit kelayakan empiris membuktikan bahwa Nilai Ekspor Nonmigas Bulanan Menurut Provinsi Asal Barang (Var 2346, 2022-2026) tersedia lengkap untuk 38 provinsi dan terbit mendahului rilis PDRB triwulanan (contoh aktual 2024: ekspor Maret rilis 22 April 2024 vs PDRB Q1 rilis 6 Mei 2024, memberikan lead time 14 hari). Ekspor provinsi diposisikan sebagai proxy aktivitas ekonomi/industri daerah, bukan pengukuran langsung output manufaktur fisik. Status prediktor Var 2346 tetap CONDITIONAL sampai full vintage ingestion selesai; Var 401 (IMK) tetap CONDITIONAL sampai pola revisi diverifikasi; target Var 2267 terverifikasi pada level sampel vintage namun basis data vintage historis belum selesai. Oleh karena itu, tahap pemodelan empiris tetap GATED." ### Evidence: Publikasi Resmi BPS Statistik Listrik 2020-2024 (ev-bps-stat-listrik) - Type: publication - Verification Status: verified - Reference: Publikasi BPS No. Publikasi 2354-6875 (Rilis 2025-12-31) - Excerpt: "Survei Tahunan Perusahaan Listrik BPS menyajikan kapasitas terpasang pembangkit, produksi tenaga listrik neto dan bruto, susut transmisi-distribusi, serta rincian penjualan tenaga listrik menurut kelompok tarif rumah tangga, industri, dan bisnis." ### Evidence: BPS Tabel Statis 1555 Persentase Rumah Tangga menurut Provinsi dan Penerangan Listrik PLN (ev-bps-table-1555) - Type: statistic - Verification Status: verified - Reference: BPS WebAPI & Static Table No. 1555 (Susenas 1993–2022) - Excerpt: "Persentase rumah tangga dengan sumber penerangan listrik PLN menurut provinsi mencatat disparitas historis dari 1993 hingga 2022 pada 34 provinsi di Indonesia." ### Evidence: Kuantifikasi Revisi Empiris First-Release vs Current API & Limitasi Vintage BPS (ev-bps-vintage-first-release-revision-audit) - Type: empirical - Verification Status: verified - Reference: Berita Resmi Statistik No. 14/02/Th. XXVII (15 Februari 2024) vs BPS WebAPI v1 Var 2346 datacontent - Excerpt: "Perbandingan nilai ekspor Januari 2024 pada 7 provinsi sampel membuktikan bahwa Current API mengalami revisi rutin ke bawah (-0,40% s.d. -13,84%) dibanding nilai first-release BRS: Jawa Barat (US$ 2.946,0M vs 2.906,56M, revisi -1,34%), Jawa Tengah (US$ 935,5M vs 931,78M, -0,40%), Jawa Timur (US$ 1.985,9M vs 1.896,98M, -4,48%), Banten (US$ 1.051,7M vs 1.041,45M, -0,97%), Kepulauan Riau (US$ 1.228,9M vs 1.132,13M, -7,87%), Kalimantan Timur (US$ 2.170,7M vs 1.870,20M, -13,84%), dan Sulawesi Tengah (US$ 1.745,2M vs 1.622,24M, -7,05%). Menggunakan data Current API secara langsung memicu revision leakage. Backtesting pseudo-out-of-sample wajib menggunakan rekonstruksi first-release dari BRS. Verifikasi audit membuktikan fenomena revisi secara empiris, namun basis data vintage historis belum selesai dibangun dan pemodelan empiris tetap GATED." ### Evidence: Audit Ketercukupan & Jeda Publikasi Data Realisasi RUED-P Daerah DEN (ev-den-rued-gap-audit) - Type: official_source - Verification Status: partially-verified - Reference: Publikasi Dewan Energi Nasional: Buku Bauran Energi Nasional 2022 & Repositori Perda RUED Provinsi (den.go.id/publikasi/rued-provinsi) - Excerpt: "Pemeriksaan dokumen resmi DEN mengonfirmasi jeda publikasi (reporting lag) 1-2 tahun untuk data evaluasi komparatif daerah (laporan komparatif terbuka nasional terakhir tahun 2022). Sekitar 30 provinsi telah mengesahkan Perda RUED, namun terjadi asimetri di mana provinsi seperti Kalimantan Timur dan klaster pemekaran DOB Papua mengalami kekosongan data resmi." ### Evidence: Audit Sinyal Pencarian Energi Google Analytics Property 553910715 (ev-ga-energy-audit) - Type: observation - Verification Status: verified - Reference: Google Analytics 4 RunReport Query (2024-01-01 s.d. 2026-09-13) - Excerpt: "Pemeriksaan query searchTerm untuk istilah 'panel surya', 'PLTS atap', dan 'energi terbarukan' pada properti Research OS mencatat 0 baris data / 0 active users, mengonfirmasi ketiadaan sinyal organik internal dan perlunya bertumpu pada bukti empiris BPS." ### Evidence: Temuan Literatur Hambatan Captive Power terhadap Dekarbonisasi Listrik Nasional (ev-lit-burke-captive-barrier) - Type: literature - Verification Status: partially-verified - Literature: lit-burke-2019-indonesia-electricity - Reference: Burke & Abdurrahman (2019), Energy Policy, Vol. 131, pp. 388-397 - Excerpt: "Off-grid captive power generation, predominantly coal-fired in industrial estates and mineral processing smelters, expanded rapidly and created institutional resistance against grid-connected renewable power purchase agreements." ### Evidence: Skala dan Pertumbuhan Kapasitas Pembangkit Captive Batu Bara Industri di Indonesia (ev-lit-chojkiewicz-captive-coal-scale) - Type: literature - Verification Status: verified - Literature: lit-chojkiewicz-2025-solar-storage-captive - Reference: Chojkiewicz et al. (2025), iScience, Vol. 28, Issue 11, Article 113763 - Excerpt: "Over the past decade, captive coal capacity has grown 8-fold, reaching 11 GW in 2023, with another 14 GW remaining proposed or in development. The majority of this captive coal capacity serves the metal processing industry - including nickel, cobalt and aluminum smelters - which have been promoted by the government alongside bans of unrefined metal ores in an effort to turn Indonesia into a manufacturing hub for batteries and electric vehicles." ### Evidence: Hasil Pemodelan Tekno-Ekonomi: Paritas Biaya LCOE Solar Plus Storage terhadap Captive Batu Bara di Kalimantan (ev-lit-chojkiewicz-solar-storage-lcoe) - Type: literature - Verification Status: verified - Literature: lit-chojkiewicz-2025-solar-storage-captive - Reference: Chojkiewicz et al. (2025), iScience, Vol. 28, Issue 11, Article 113763 - Excerpt: "Here we assess the rapidly growing region of Kalimantan and show how, with targeted support policies, the co-location of solar PV generation with battery storage can achieve a Levelized Cost of Energy (LCOE) of 5.6–7.9 cents/kWh at present, varying with capacity factor and financing conditions, competitive with conventional captive coal generation for industrial applications... Co-location with solar cuts storage costs by up to 20% versus standalone deployment." ### Evidence: Pengaruh Kausal Ekspansi Jaringan Listrik terhadap Perkembangan Industri dan Perputaran Perusahaan (Firm Turnover) di Jawa (ev-lit-kassem-grid-industrial-turnover) - Type: literature - Verification Status: partially-verified - Literature: lit-kassem-2024-electrification-industrial-development - Reference: Kassem (2024), Journal of Development Economics, Vol. 167, 103234 - Excerpt: "I ask whether electrification causes industrial development. I combine newly digitized data from the Indonesian state electricity company with rich manufacturing census data. To understand how electrification can cause industrial development, I shed light on an important economic mechanism — firm turnover. In particular, I study the effect of the extensive margin of electrification (grid expansion) on the extensive margin of industrial development (firm entry and exit). To deal with endogenous grid placement, I use an instrumental variable approach exploiting the location of colonial electric infrastructure and the need for an interconnected grid on the island of Java. I find that electrification causes industrial development by increasing the number of manufacturing firms, manufacturing workers, and manufacturing output. Electrification increases firm entry rates, but also exit rates, and entry accounts for most of the increase in output. This is consistent with electrification lowering entry costs, increasing competition, and forcing unproductive firms to exit more often." ### Evidence: Preseden Metodologis Nowcasting Produksi Industri Regional Berbasis Data Listrik Frekuensi Tinggi di Bavaria (ev-lit-lehmann-electricity-nowcasting-precedent) - Type: literature - Verification Status: partially-verified - Literature: lit-lehmann-2024-electricity-forecasting - Reference: Lehmann & Möhrle (2024), Journal of Forecasting, Vol. 43(6), pp. 1918-1935 / CESifo Working Paper No. 9917 - Excerpt: "In this paper, we study the predictive power of electricity consumption data for regional economic activity. Using unique weekly and monthly data for the Free State of Bavaria, Germany's second largest state, we run a pseudo out-of-sample forecasting experiment for the monthly growth rate of Bavarian industrial production. Electricity consumption turns out to be the best-performing indicator in our nowcasting setup and produces higher accuracy than conventional indicators in monthly forecasting experiments. Due to its high frequency, weekly electricity consumption gives a good prediction of the industrial activity in the current month with only one to two weeks of information." ### Evidence: Tingkat Kepemilikan Pembangkit Mandiri dan Potensi Reduksi Kerugian Pemadaman di Indonesia (ev-lit-shehzadi-indonesia-generator-losses) - Type: literature - Verification Status: verified - Literature: lit-shehzadi-2024-self-generation - Reference: Shehzadi & Wetzel (2024), Energy Reports, Vol. 11, pp. 2832-2840 - Excerpt: "Section 3 (p. 2834): 'Nevertheless, the observed lowest percentage of companies owning a generator is still relatively high with about 42 percent in Indonesia.' Section 5 (p. 2837): 'On the other hand, the estimated ATU for firms without self-generation indicates that firms in China, India, and Indonesia could have reduced their average outage losses by 16 percent, 5 percent, and 25 percent, respectively, if they had invested in self-generation.'" ### Evidence: Determinan Keputusan Pembangkit Mandiri (Self-Generation) pada Perusahaan Manufaktur Asia (ev-lit-shehzadi-outage-selfgen) - Type: literature - Verification Status: verified - Literature: lit-shehzadi-2024-self-generation - Reference: Shehzadi & Wetzel (2024), Energy Reports, Vol. 11, pp. 2832-2840 - Excerpt: "The results show that firms experiencing more outages and higher electricity costs are more likely to invest in self-generation. Larger, older, and exporting firms also show a higher propensity to self-generate." ## 5. FINDINGS & EPISTEMIC CLAIMS No original findings published yet. All current claims remain literature evidence or evaluated candidates.