Peran Stakeholder dalam Pengendalian Lahan di Sub-DAS Citarik Hulu Kawasan Cekungan Bandung
Bibliographic record
Abstract
Abstract. Problems around the Upper Citarik Sub-watershed are caused by the conversion of land from agricultural land so that people open agricultural land around the upstream. This increases the erosion hazard, causing flooding during the rainy season and drought during the dry season. The purpose of this study was to examine the relationship between actors in land tenure in the Upper Citarik Sub-watershed in the Bandung Basin Region. The MACTOR analysis method is an analysis of the strengths between actors or stakeholders by looking for agreements and differences in problems and goals to be achieved. In this research technique used to determine respondents using a purposive sample, so that a sample of respondents whose representatives can be mapped from Stakeholders, namely BBWS Citarum, Public Works Office for Spatial Planning for Bandung Regency, Public Works Office for Spatial Planning for Sumedang Regency, Bappeda for Bandung Regency, Bappeda for Sumedang Regency, Bappeda for West Java Province, community leaders and academics. The sub-watershed has an area of 4,315.41 hectares which are located in five villages, namely Dampit Village, Tanjungwangi Village, Cimanggu Village, Sindulang Village and Tegalmanggung Village. MACTOR analysis results show that the most important actor is Bappeda Kab. Bandung, BBWS Citarum and Bappeda Kab. Sumedang. Abstrak. Permasalahan di sekitar Sub-DAS Citarik Hulu disebabkan oleh alih fungsi lahan dari lahan pertanian sehingga masyarakat membuka lahan pertanian di sekitar hulu. Hal ini meningkatkan bahaya erosi, menyebabkan banjir pada musim hujan dan kekeringan pada musim kemarau. Tujuan dari penelitian ini yaitu memetakan hubungan antar aktor dalam pengendalian lahan di Sub-DAS Citarik Hulu Kawasan Cekungan Bandung. Metoda analisis MACTOR yang merupakan analisis kekuatan antar aktor atau Stakeholder dengan mencari kesamaan dan perbedaan pada permasalahan dan tujuan yang akan dicapai. Dalam penelitian ini teknik yang digunakan untuk penentuan responden menggunakan purposive sample, sehingga dapat diambil sampel responden yang dapat dipetakan perwakilannya dari Stakeholder yaitu BBWS Citarum, Dinas Pekerjaan Umum Penataan Ruang Kabupaten Bandung, Dinas Pekerjaan Umum Tata Ruang Kabupaten Sumedang, Bappeda Kabupaten Bandung, Bappeda Kabupaten Sumedang, Bappeda Provinsi Jawa Barat, Tokoh Masyarakat dan Akademisi. Sub-DAS memiliki luas sebesar 4.315, 41 Ha, berada di lima desa yaitu Desa Dampit, Desa Tanjungwangi, Desa Cimanggu, Desa Sindulang, dan Desa Tegalmanggung. Hasil analisis MACTOR terpetakan bahwa aktor yang paling berperan yaitu Bappeda Kab. Bandung, BBWS Citarum dan Bappeda Kab. Sumedang.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".