Analisis Kesesuaian Pemanfaatan Ruang di Kawasan Koridor Jalan Raya Singaparna Berdasarkan Perda No. 9 Tahun 2017
Bibliographic record
Abstract
Abstract. Spatial utilization conformity in the 48.61-hectare Jalan Raya Singaparna Corridor Area was assessed based on Regional Regulation No. 9 of 2017 regarding the Singaparna Detailed Urban Spatial Plan (RDTR). This area serves as a key economic and business hub for the regency; however, significant land-use conversion has occurred, deviating from the original plan. A quantitative method was applied using primary data (observations and interviews) and secondary literature. Existing land use was analyzed through overlay techniques in ArcGIS with the RDTR spatial structure. The results show that 34.60 hectares (70.91%) of land is not utilized according to the plan, mainly yards (15.1 Ha) and residential areas (12.72 Ha) converted into trade and service zones. These changes may cause spatial problems, such as traffic congestion, declining environmental quality, and socio-economic disruptions, thereby hampering the area's function as an economic growth center. The study recommends more rigorous land use control and spatial reorganization to support sustainable and effective spatial planning implementation. Abstrak. kesesuaian pemanfaatan ruang di Kawasan Koridor Jalan Raya Singaparna seluas 48,61 hektare berdasarkan Perda No. 9 Tahun 2017 tentang RDTR Singaparna. Kawasan ini penting sebagai pusat ekonomi dan bisnis kabupaten, namun terjadi alih fungsi lahan yang signifikan dari rencana awal. Metode kuantitatif diterapkan dengan data primer (observasi dan wawancara) serta data sekunder literatur. Data penggunaan lahan eksisting dianalisis melalui overlay di ArcGIS dengan Rencana Pola Ruang RDTR. Hasilnya, 34,60 hektare (70,91%) lahan digunakan belum sesuai rencana, terutama pekarangan (15,1 Ha) dan permukiman (12,72 Ha) yang berubah menjadi zona perdagangan dan jasa. Perubahan ini berpotensi menimbulkan masalah tata ruang, seperti kemacetan, penurunan kualitas lingkungan, dan gangguan sosial ekonomi, sehingga menghambat fungsi kawasan sebagai pusat pertumbuhan ekonomi. Penelitian merekomendasikan pengendalian dan penataan kembali pemanfaatan lahan untuk mendukung implementasi tata ruang yang berkelanjutan dan efektif.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".