Pengaruh Program Water Resources And Irrigation Sector Management Project (WISMP) Terhadap Produktivitas Padi Sawah Di Kecamatan Siantar Kabupaten Simalungun
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis perbedaan produktivitas padi sawah sebelum dan sesudah pelaksanaan Water Resources and Irrigation Sector and Management Project (WISMP) serta pengaruh Program WISMP terhadap produktivitas padi sawah di Kecamatan Siantar Kabupaten Simalungun. Berdasarkan jenis masalah yang diteliti, pendekatan yang digunakan adalah deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa terdapat perbedaan antara rata-rata produktivitas pertanian antara sebelum dan setelah adanya Program WISMP di Kecamatan Siantar Kabupaten Simalungun. Hasil nilai t - hitung (-29,103) lebih kecil dari nilai t- tabel (0,679) pada taraf signifikansi 5%. Dari hasil tersebut maka dapat diketahui bahwa terdapat perbedaan nyata produktivitas pertanian padi sawah sebelum dan sesudah adanya Program WISMP di Kecamatan Siantar Kabupaten Simalungun. Hasil berikutnya adalah Program WISMP berpengaruh signifikan terhadap produktivitas padi sawah Kecamatan Siantar Kabupaten Simalungun. Hasil uji t menunjukkan nilai signifikansi variabel Program WISMP bernilai 0,001 dimana angka ini lebih kecil dari taraf signifikansi yang ditentukan 5%.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".