Tinjauan Terhadap Sinkronisasi Perencanaan Pembangunan Pasca Pemilihan Kepala Daerah Serentak di Kota Cimahi Tahun 2017
Bibliographic record
Abstract
Cimahi City is one of the three regions that carried out national concurrent election in West Java Province. The victory of the pair Ir. H. Ajay M. Priatna, MM and Lieutenant Colonel (Ret.) Ngatiyana as determined by KPU on February 23, 2017 must undergo a long journey towards the inauguration for 9 (nine) months plus 6 (six) months of the Regional Medium Term Development Plan (RPJMD) for 2017-2022. Thus, the government for the 2017-2022 period only has 4 (four) years effective time to carry out its vision and mission. This study will review the synchronization of development planning after simultaneous regional head elections in Cimahi City in 2017, with descriptive methods through a qualitative approach. The source of research data is a group of government officials involved in the synchronization process. The study concluded that the synchronization of development planning in Cimahi City was in accordance with the legislation governing regional planning, the synchronization process of development planning was in transition to leadership which affected the drafting of the RKPD 2018 which became the basis for the RAPBD KUA-PPAS 2018 document. Although there are still human resource capacity constraints and an understanding of the technical division employee and the budget burden for 2018, the synchronization pattern of program priorities becomes a strategy to achieve leadership effectiveness Mayor/Vice Mayor of Cimahi Period 2017-2022.Keywords: synchronization, leadership transition and development planning
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".