Faktor – Faktor yang Mempengaruhi Pelaksanaan Usahatani Padi di Kecamatan Karangtengah, Kabupaten Cianjur
Bibliographic record
Abstract
Abstract. Karangtengah Subdistrict, located in Cianjur Regency, is one of the strategic areas for food production in West Java Province. However, this region faces various complex challenges in the implementation of rice farming, including the conversion of 209 hectares of paddy fields during the 2006–2019 period, significant population growth, and limited access to markets and agricultural infrastructure. These issues have direct implications for the effectiveness and sustainability of rice farming systems, thereby necessitating a comprehensive analysis to identify the key factors influencing its implementation. This study aims to analyze the availability and demand for rice in Karangtengah Subdistrict and to identify the factors that influence the implementation of rice farming. A quantitative approach was employed, utilizing methods such as rice surplus and deficit analysis, as well as multiple linear regression analysis. Data collection was conducted through the distribution of questionnaires to 323 farmers and interviews with relevant institutions. The findings indicate that, despite annual fluctuations in availability, Karangtengah Subdistrict generally experiences a rice surplus. Based on the results of the multiple linear regression analysis, five variables—accessibility, farming experience, availability of capital, rainfall, and pest and disease outbreaks—were found to significantly affect the implementation of rice farming. Collectively, these five variables account for 70% of the variation in the implementation of rice farming in the study area. Abstrak. Kecamatan Karangtengah, Kabupaten Cianjur merupakan salah satu wilayah strategis dalam penyediaan pangan di Provinsi Jawa Barat. Namun demikian kawasan ini menghadapi berbagai tantangan yang kompleks dalam pelaksanaan usahatani padi antara lain alih fungsi lahan persawahan seluas 209 hektar selama periode 2006–2019, pertumbuhan jumlah penduduk yang signifikan, serta keterbatasan akses pasar dan infrastruktur pertanian. Permasalahan-permasalahan tersebut berimplikasi langsung terhadap efektivitas dan keberlanjutan sistem usahatani padi sehingga diperlukan analisis yang komprehensif untuk mengidentifikasi faktor-faktor yang menentukan pengaruh terhadap pelaksanaannya. Penelitian ini bertujuan untuk menganalisis ketersediaan dan permintaan padi di Kecamatan Karangtengah, serta mengidentifikasi faktor-faktor yang mempengaruhi pelaksanaan usahatani padi. Penelitian menggunakan pendekatan kuantitatif dengan metode analisis yang terdiri atas analisis surplus dan defisit beras, dan analisis regresi linear berganda. Pengumpulan data dilakukan melalui penyebaran kuesioner kepada petani sebanyak 323 petani serta wawancara dengan instansi terkait. Hasil penelitian menunjukkan bahwa meskipun terdapat fluktuasi ketersediaan antar tahun Kecamatan Karangtengah secara umum mengalami surplus beras. Berdasarkan hasil analisis regresi linear berganda, ditemukan bahwa lima variabel yaitu aksesibilitas, pengalaman bertani, ketersediaan modal, curah hujan, serta serangan penyakit dan hama berpengaruh secara signifikan terhadap pelaksanaan usahatani padi. Kelima variabel tersebut secara simultan memberikan kontribusi sebesar 70% terhadap variasi pelaksanaan usahatani padi.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".