Persepsi Masyarakat terhadap Perubahan Tata Guna Lahan di Koridor Jalan Ir. H. Djuanda, Kota Bandung
Bibliographic record
Abstract
Abstract. Land use changes along the Ir. H. Djuanda corridor in Bandung City are a consequence of rapid urban growth and increasing economic activities. This study aims to analyze land use changes over the 2014–2024 period and to evaluate community perceptions of the impacts arising from these changes. The research methods include spatial analysis using overlay techniques in ArcGIS to compare land cover changes, as well as the distribution of questionnaires to 68 respondents to gather public perception data. The results show that land use transformation in the area is dominated by the expansion of residential and commercial zones, leading to increased traffic congestion, air and noise pollution, and the reduction of green open spaces. This study highlights the importance of sustainable and participatory spatial planning to maintain environmental quality and community comfort. Abstrak. Perubahan penggunaan lahan di koridor Jalan Ir. H. Djuanda, Kota Bandung, menjadi salah satu dampak dari pertumbuhan kota yang cepat dan meningkatnya aktivitas ekonomi. Penelitian ini bertujuan untuk mengkaji perubahan penggunaan lahan selama periode 2014–2024 serta mengevaluasi persepsi masyarakat terhadap dampak yang ditimbulkannya. Metode penelitian yang digunakan adalah analisis spasial berbasis overlay menggunakan ArcGIS untuk membandingkan perubahan tutupan lahan, serta penyebaran kuesioner kepada 68 responden untuk mengumpulkan persepsi masyarakat. Hasil penelitian menunjukkan bahwa perubahan lahan di wilayah tersebut didominasi oleh perluasan permukiman dan perdagangan yang berdampak pada meningkatnya kemacetan, polusi udara dan suara, serta penurunan ruang terbuka hijau. Penelitian ini menekankan pentingnya perencanaan tata ruang yang berkelanjutan dan partisipatif untuk menjaga kualitas lingkungan serta kenyamanan masyarakat.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".