Analisis Distribusi dan Interpretasi Data Penduduk Usia Produktif Indonesia Tahun 2020
Bibliographic record
Abstract
Hasil sensus penduduk tahun 2010 yang dilakukan Badan Pusat Statistik (BPS) menunjukkan bahwa ada sekitar 157.053.112 ribu jiwa penduduk Indonesia berada pada kelompok umur usia produktif. Analisis deskriptif kualitatif dan interpretasi data berbasis kajian kepustakaan (literatur review), dengan menggunakan data sekunder yang terdiri dari hasil proyeksi penduduk yang dikeluarkan oleh Badan Perencanaan Nasional (Bappenas) dan Badan Pusat Statistik (BPS) tahun 2010-2035. Hasil penelitian menunjukkan Proyeksi Penduduk yang dikeluarkan oleh Bappenas dan BPS bahwa pada tahun 2020 jumlah penduduk Indonesia yang berada pada kelompok umur usia produktif sebesar 183.517.329 jiwa penduduk atau 57% dari total penduduk Indonesia. Sebagian besar wilayah di Indonesia pada tahun 2020 mengalami bonus demografi, namun beberapa provinsi ternyata belum bisa menikmati bonus demografi pada tahun 2020, karena memiliki angka rasio beban ketergantungan 50% atau lebih, seperti Provinsi Nusa Tenggara Timur, Provinsi Nusa Tenggara Barat, Provinsi Aceh, Provinsi Sumatera Utara, Provinsi Sumatera Barat, Provinsi Sulawesi Selatan, Provinsi Sulawesi Tenggara, Provinsi Maluku dan Provinsi Maluku Utara.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".