Analisis Wilayah dan Kontribusi Kakao Terhadap Pembangunan Daerah di Kabupaten Parigi Moutong
Bibliographic record
Abstract
Kakao merupakan salah satu komoditas perkebunan selain kelapa sawit, karet dan kopi yang memiliki peranan penting dalam perekonomian nasional dalam menghasilkan devisa negara, menyerap tenaga kerja serta sebagai penyedia bahan baku industri cokelat. Penelitian ini bertujuan untuk mengidentifikasi wilayah basis produksi komoditas kakao serta peranan kakao dalam mendukung pembangunan wilayah Kabupaten Parigi Mautong. Data yang digunakan adalah data sekunder periode waktu tahun 2017-2021. Metode analisis data yang digunakan adalah analisis location quotient, lokalisasi, spesialisasi, analisis rasio layanan dasar dan regional multiplier. Hasil penelitian menunjukkan bahwa daerah basis komoditas kakao di Kabupaten Parigi Moutong ada 12 kecamatan sehingga usahatani komoditas kakao tidak terkonsentrasi atau tidak terpusat hanya pada satu wilayah namun tersebar di beberapa wilayah kecamatan yang ada di Kabupaten Parigi Moutong. Usahatani komoditas kakao di wilayah basis tidak menspesialisasikan pada usahatani kakao. Komoditas kakao berperan dalam pembangunan wilayah dan ekonomi Kabupaten Parigi Moutong.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".