Tingkat Kesiapan Masyarakat dalam Pengembangan Urban Farming di Kecamatan Arcamanik
Bibliographic record
Abstract
Abstract. Urban areas face difficulties in fulfilling food needs independently due to the increasing rate of land-use conversion. This issue also affects regions that supply food to Bandung City, where the conversion of agricultural land threatens future food security. As a response, urban farming is seen as a strategic solution to help meet Bandung’s food demands. This study aims to assess the readiness of the Arcamanik District community to implement urban farming using the Community Readiness Model (CRM) with a quantitative approach. Data were collected through questionnaires distributed to all neighborhood unit (RW) heads. The responses were analyzed using a scoring system to evaluate aspects such as efforts, knowledge, leadership, community conditions, awareness of urban farming issues, and available resources. The analysis shows that the community’s readiness is at the “initiation” stage, with an average score of 3.5. This indicates that early efforts and programs related to urban farming have been introduced, and the community generally shows no resistance. Awareness of its importance is emerging, but deep understanding and active participation remain limited. Technical skills and knowledge of urban farming management are also low. While leadership support is adequate, the availability of resources and material motivation still needs improvement. Abstrak. Wilayah perkotaan dalam memenuhi kebutuhan pangan secara mandiri sukar untuk dilakukan karena maraknya alih fungsi lahan. Saat ini pada wilayah pemasok kebutuhan pangan untuk Kota Bandung juga terjadi persoalan alih fungsi lahan pertanian yang akan menyebabkan masalah terkait kebutuhan pangan di Kota Bandung di masa yang akan datang. Maka urban farming menjadi solusi yang dapat membantu dalam pemenuhan pangan di Kota Bandung. Tujuan dari penelitian ini yaitu untuk menilai kesiapan masyarakat Kecamatan Arcamanik dalam mengembangkan urban farming dengan menggunakan metode Community Readiness Model (CRM) dengan pendekatan kuantitatif. Pengumpulan data dengan teknik kuesioner kepada seluruh ketua RW serta dilakukan pembobotan pada jawaban responden untuk mengetahui usaha, pengetahuan, kepemimpinan, kondisi masyarakat, pengetahuan isu urban farming, dan sumber daya. Hasil analisis menunjukkan bahwa tingkat kesiapan masyarakat berada pada tahap initiation dengan skor rata-rata 3,5. Tahapan ini mengindikasikan sudah terdapat inisiatif awal dan pelaksanaan program urban farming, respon masyarakat secara umum tidak terdapat penolakan. Kesadaran akan pentingnya pelaksanaan kegiatan mulai tumbuh, namun pemahaman mendalam dan partisipasi aktif dari masyarakat masih terbatas. Namun, secara keseluruhan partisipasi aktif masih rendah, begitu pula keterampilan teknis dan pemahaman pengelolaan urban farming. Dukungan pemimpin dinilai cukup, namun ketersediaan sumber daya dan dukungan materi belum optimal.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".