Bibliographic record
Abstract
Abstract. DKI Jakarta has limitations in public transportation services .Mikrotrans is one of the feeder transportation which is one of the efforts made by the government to make people switch to public transportation. The application of smart mobility in DKI Jakarta in the form of a transportation mode integration system through microtrans is not optimal and mass bus transportation has not been integrated with microtrans. The purpose of this study is to identify community assessments in the development of smart mobility on microtrans in Cilandak District and identify obstacles and solutions in the development of smart mobility on microtrans in Cilandak District. The approach method in this research is a mix method using the Importance Performance Analysis (IPA) method and descriptive analysis of the planning, implementation, monitoring and evaluation processes. The result of the analysis is that there is a gap between government performance and community expectations with an average gap of -0.93 and a total level of conformity of 77.94%, meaning that people are less satisfied with government performance in implementing smart mobility on microtrans in Cilandak District. 4 indicators that are included in the priority handling are access to information, the existence of public transport route information, the existence of schedules and waiting times for transportation and comfort in transportation. In the planning, implementation, supervision and evaluation process, there are constraints, namely in the process of integrating regular transportation, the microtrans program has not been socialized, and there is still limited supervision. Abstrak. DKI Jakarta memiliki keterbatasan dalam pelayanan angkutan umum.. Mikrotrans merupakan salah satu angkutan pengumpan yang merupakan salah satu upaya yang dilakukan pemerintah untuk menjadikan masyarakat beralih pada angkutan umum penerapan smart mobility di DKI Jakarta berupa sistem integrasi moda transportasi melalui mikrotrans ternyata belum optimal dan angkutan bus massal belum terintegrasi dengan mikrotrans. Tujuan dari penelitian ini adalah teridentifikasinya penilaian masyarakat dalam pembangunan smart mobility pada mikrotrans di Kecamatan Cilandak dan teridentifikasinya kendala dan solusi dalam pembangunan smart mobility pada mikrotrans di Kecamatan Cilandak. Metode pendekatan pada penelitian kali ini adalah mix method dengan menggunakan metode Importance Performance Analysis (IPA) dan analisis deskriptif terhadap proses perencanaan, pelaksanaan, pengawasan dan evaluasi. Hasil analisis adalah terdapat kesenjangan antara kinerja pemerintah dan harapan masyarakat dengan rata-rata kesenjangan adalah -0,93.dan total tingkat kesesuaian adalah 77,94% hal ini menunjukan masyarakat kurang merasa puas dengan kinerja pemerintah dalam pelaksanaan smart mobility pada mikrotrans di Kecamatan Cilandak. Terdapat 4 indikator yang masuk ke dalam prioritas penanganan yaitu akses informasi, keberadaan informasi rute angkutan umum, keberadaan jadwal dan waktu tunggu transportasi dan kenyamanan dalam transportasi Pada proses perencanaan, pelaksanaan, pengawasan dan evaluasi terkendala yaitu pada proses pengintegrasi angkutan reguler menjadi mikrotrans, belum tersosialisasikannya secara utuh mengenai program mikrotrans,dan masih terbatasnya pengawasan kinerja operator sesuai kontrak perjanjian.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.008 |
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".