ANALISIS KEUNTUNGAN INTEGRASI USAHA TERNAK BABI DENGAN IKAN MUJAIR DI KECAMATAN SONDER KABUPATEN MINAHASA
Bibliographic record
Abstract
Kecamatan Sonder merupakan salah satu kecamatan yang ada di Kabupaten Minahasa dengan luas wilayah 5.672,2 ha. Umumnya masyarakat di Kecamatan Sonder berprofesi sebagai petani/peternak. Populasi ternak babi di Kecamatan Sonder sebesar 5.963 ekor yang tersebar di 10 desa. Masalah dalam penelitian ini adalah bagaimana peternak mengelola usaha ternak babi yang diintegrasikan dengan ikan mujair dan berapa keuntungan usaha ternak babi tersebut. Penelitian ini dilaksanakan di Kecamatan Sonder pada 2 desa yaitu desa Talikuran dan desa Kauneran dari tanggal 16 Oktober sampai 20 November 2012 dengan jumlah responden sebanyak 30 orang. Metode pengumpulan data menggunakan metode survei. Metode penentuan sampel ditentukan secara sengaja dengan pertimbangan memiliki populasi ternak babi terbanyak. Hasil dari penelitian menunjukkan bahwa keuntungan integrasi usaha ternak babi dengan ikan mujair sebesar Rp 198.188.000/periode produksi dengan rata-rata Rp 6.606.267/responden.Kata Kunci:Integrasi, Usaha Ternak Babi, Ikan Mujair ABSTRACTPROVITABILITY ANALISYS OF INTEGRATED FARMING BETWEENPIG AND MUJAIR FISH ON SONDER SUB-DISTRICTMINAHASA REGENCY. Sonder sub district was located in Minahasa regency with the region area up 5.672,2 ha. The peoples in this area used to cultivate their land or raise livestock as common activity. There was 5.963 heads of pig spread over ten vellages. The aim of this research were to find out the method performed by farmers in combining pig and mujair fish as intergrated farming and its provitability. Research was conducted in two vellages consist of Talikuran and Kauneran. Data collection was focused on 30 farmers as respondents. The research area was chosen by purpossive random sampling methode because it had most pig population in amount. The result of the study indicated that integrated farming system between pig and mujair fish was profitable because farmers gained net in come Rp 198.188.000/periode and Rp 6.606.267/respondent in averages. Keywords: Integrated, Pig Farming, Mujair Fish
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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".