Analisis Penentuan Komoditas Unggulan Dalam Pengembangan Kawasan Agropolitan di Kabupaten Aceh
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Bibliographic record
Abstract
Abstrak. Penelitian ini bertujuan untuk menganalisis komoditas unggulan yang bisa dijadikan sebagai kebijakan dalam pengembangan kawasan agropolitan di Kecamatan Indrapuri Kabupaten Aceh Besar. Indrapuri adalah kecamatan yang sudah tercantum dalam “ Qanun Kabupaten Aceh Besar No. 4 Tahun 2013 Tentang Rencana Tata Ruang Wilayah (RTRW) Kabupaten Aceh Besar Tahun 2012-2032 ” sebagai Kawasan Strategis Kabupaten Agropolitan dengan dibantu hinterland dan memiliki potensi dikelima sub-sektor pertanian. Oleh sebab itu, diperlukannya pengindetifikasian komoditas unggulan menggunakan analisa LQ dengan memanfaatkan data luas panen dan produksi di Kecamatan Indrapuri. Komoditas unggulan dipilih berdasarkan hasil perhitungan LQ1 , yang diindentifikasi sebagai komoditas basis. Berdasarkan hasil penelitian komoditas unggulan berdasarkan luas panen adalah padi, jagung, semangka, jeruk besar, jambu biji, nenas, nangka, sawo, papaya, salak, manggis, melinjo, cabai merah, kacang panjang, terong, cabai rawit, kopi, pala, pinang, kapuk, kemiri, lada, sagu, aren, dan tembakau. Sedangkan, berdasarkan panen adalah padi, jagung, timun, semangka, jeruk besar, nangka, sawo, pisang, manggis, melinjo, cabai merah, kacang panjang, terong, kopi, pala, pinang, kapuk, kemiri, lada, sagu, aren, dan tembakau, kolam (berdasarkan tempat budidaya), sapi dan ayam ras. Tetapi, tidak ditemukan sektor industri hulu-hilir disetiap sub-sektor pertanian sehingga, Kecamatan Indrapuri belum bisa dikatakan sebagai kawasan agropolitan sepenuhnya Kata kunci: komoditas unggulan, LQ, Agropolitan. Abstract. This research aims to analyze the superior commodities that could serve as policy in the development area of Indrapuri Subdistrict agropolitan in Aceh Besar District. Indrapuri subdistrict is already mentioned in the Regulation of Aceh Besar Regency No. 4 in 2013 “The Arrangement of Space Order Plan (RTRW – Rencana Tata Ruang Wilayah) Aceh Besar Regency in 2012-2032” as Strategy Area District of Agropolitan which assisted the hinterland and have the potential in fifth agricultural subsector. Therefore, it needed the identification of the superior commodities using Location Quotient (LQ) analysis by utilizing the extensive harvest data and production in Indrapuri Subdistrict. The superior commodities were chosen based on the results of the calculation of the LQ 1, which identificated as a commodity base. Based on the results of superior commodities in broad commodity crop is rice, corn, watermelon, grapefruit, guava, pineapple, jackfruit, sawo, papaya, salak, mangosteen, melinjo, red chilli, long beans, eggplant, cayenne, coffee, nutmeg, pinang, kapuk, candlenut, pepper, sago, sugar palm and tobacco. Whereas, on the basis of the harvesting is rice, corn, cucumber, watermelon, grapefruit, sawo, banana, mangosteent, melinjo, red chilli, long beans, eggplant, coffee, nutmeg, kapuk, candlenut, pepper, sago, sugar palm and tobacco, pond (based on farming), cow and broiler livestock. However, However Indrapuri can not be said to be fully agropolitan because , the industrial sector is not found in every upstream-downstream on each sub-sector agricultural. Keywords: superior commodities, LQ, Agroplitan
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 it