Kajian Pengendalian Penggunaan Lahan di Kecamatan Cimenyan
Bibliographic record
Abstract
Abstract.Cimenyan District in the development of land use is still not controlled causing disruption of the protective function. so that it can lead to landslides. The occurrence of landslides from time to time is of course a special concern regarding the area which is prone to landslides. On the other hand, Cimenyan Sub-District has a relatively high population among other sub-districts in Bandung Regency, of course the occurrence of this disaster can not only cause material losses but can also claim lives. From this study aims to identify the level of deviation and identify the suitability of land use control instruments in Cimenyan District. In carrying out this analysis, it was carried out using the overlay method of land use maps, spatial patterns, and data on the level of vulnerability to landslides from KRB Bandung Regency. From these results, land changes from 2013 - 2022 have increased the area of agriculture and settlements, while there is a level of deviation. Large land use deviations are quite high, namely, 7.82% or the equivalent of 353.70 Ha. To identify the causes of landslides due to high rainfall and reduced plant vegetation with strong roots. and identification of control instruments can be done by overlaying a map of land irregularities and the level of vulnerability to landslides, as for the recommendations from the control, of course, first verify the legality of the permit. If there is no legality/permit, of course, sanctions/disincentives must be given.
 Abstrak. Kecamatan Cimenyan dalam perkembangan penggunaan lahan masih belum terkendali menimbulkan gangguan fungsi lindung. sehingga dapat mengakibatkan bencana tanah longsor Terjadinya bencana tanah longsor dari waktu ke waktu tentu dapat menjadi perhatian khusus terkait wilayah tersebut yang rawan akan bencana longsor. Di sisi lain Kecamatan Cimenyan memiliki jumlah penduduk cukup tinggi diantara kecamatan lainnya di Kabupaten Bandung, tentunya terjadinya bencana tersebut tidak hanya dapat memberikan kerugian berupa materiel saja melainkan dapat merenggut korban jiwa. Dari penelitian tersebut bertujuan untuk mengidentifikasi tingkat penyimpangan dan mengidentifikasi kesesuaian instrumen pengendalian penggunaan lahan di Kecamatan Cimenyan. Dalam melakukan analisis ini dilakukan dengan menggunakan metode overlay peta penggunaan lahan, pola ruang, dan data tingkat kerentanan bencana tanah longsor dari KRB Kabupaten Bandung. Dari hasil tersebut perubahan lahan dari tahun 2013 - 2022 terjadi penambahan luasan pada pertanian dan permukiman sedangkan untuk adanya tingkat penyimpangan Penggunaan lahan besar penyimpangan cukup tinggi yaitu, 7,82% atau setara dengan 353,70 Ha. Untuk identifikasi penyebab terjadinya tanah longsor diakibatkan karena tingginya curah hujan dan berkurangnya vegetasi tanaman berakar kuat. dan untuk identifikasi instrumen pengendalian dapat dilakukan dengan overlay peta penyimpangan lahan dan tingkat kerentanan tanah longsor, adapun dari rekomendasi dari pengendalian tersebut tentuntunya verifikasi terlebih dahulu legalitas izinnya Apabila tidak ada legalitas/izinnya maka tentu harus diberikan sanksi/disinsentif.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".