Gambaran Hutan Mangrove Tahun 2014 Hingga 2024 Wilayah Pesisir Kabupaten Indramayu
Bibliographic record
Abstract
Abstract. Mangrove forests are strategic coastal ecosystems that play an important role in maintaining natural balance, protecting coastal areas from tidal flooding and abrasion, and serving as habitats for biodiversity. This research aims to analyze the development of mangrove forest land cover in the coastal areas of Indramayu Regency for the period 2014-2024 to understand the dynamics of mangrove ecosystem changes. The research method uses a quantitative approach with spatial analysis through Geographic Information System (GIS) overlay techniques. Land cover data was obtained from open source secondary sources and then analyzed using overlay techniques to identify changes in mangrove area. The research objects include six coastal sub-districts: Cantigi, Kadanghaur, Losarang, Pasekan, Patrol, and Sukra.The research results show two significant phases of change: a phase of mangrove area decline in the 2014-2019 period and a phase of increase in the 2019-2024 period. Cantigi Sub-district has the largest mangrove area reaching 3,694.14 ha in 2024, followed by Losarang with 2,027.83 ha and Pasekan with 1,961.86 ha. The increase in mangrove area during the 2019-2024 period was driven by the intensification of mangrove rehabilitation and restoration programs from the central government and the Peat and Mangrove Restoration Agency (BRGM). The research conclusion shows a positive trend in mangrove ecosystem recovery through sustainable conservation efforts. Abstrak. Hutan mangrove merupakan ekosistem pesisir strategis yang berperan penting dalam menjaga keseimbangan alam, melindungi wilayah pesisir dari banjir rob dan abrasi, serta menjadi habitat bagi keanekaragaman hayati. Penelitian ini bertujuan menganalisis perkembangan tutupan lahan hutan mangrove di wilayah pesisir Kabupaten Indramayu periode 2014-2024 untuk memahami dinamika perubahan ekosistem mangrove. Metode penelitian menggunakan pendekatan kuantitatif dengan analisis spasial melalui teknik overlay Sistem Informasi Geografis (SIG). Data tutupan lahan diperoleh dari sumber sekunder open source kemudian dianalisis menggunakan teknik overlay untuk mengidentifikasi perubahan luasan mangrove. Objek penelitian mencakup enam kecamatan pesisir yaitu Cantigi, Kadanghaur, Losarang, Pasekan, Patrol, dan Sukra. Hasil penelitian menunjukkan adanya dua fase perubahan signifikan: fase penurunan luas mangrove pada periode 2014-2019 dan fase peningkatan pada periode 2019-2024. Kecamatan Cantigi memiliki luasan mangrove terbesar mencapai 3.694,14 ha pada tahun 2024, diikuti Losarang 2.027,83 ha dan Pasekan 1.961,86 ha. Peningkatan luas mangrove periode 2019-2024 didorong oleh intensifikasi program rehabilitasi dan restorasi mangrove dari pemerintah pusat serta Badan Restorasi Gambut dan Mangrove (BRGM). Kesimpulan penelitian menunjukkan tren positif pemulihan ekosistem mangrove melalui upaya konservasi yang berkelanjutan.
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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 | 0.000 |
| 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) | 0.000 | 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".