Analisis Interaksi Transportasi dan Kondisi Ekonomi Kota Semarang dengan Kabupaten Sekitarnya
Bibliographic record
Abstract
Abstrak. Kota Semarang sebagai pusat kegiatan di Jawa Tengah harus didukung oleh kondisi transportasi yang unggul, sehingga mobilisasi masyarakat, barang dan jasa dapat berjalan dengan baik. Dalam konteks ekonomi, transportasi Kota Semarang menjadi aspek yang penting untuk distribusi dalam alur hulu dan hilir yang juga melibatkan kabupaten lain di sekitarnya yaitu Kabupaten Semarang, Demak dan Kendal. Penelitian ini dilakukan untuk melihat bagaimana interaksi antara transportasi dan ekonomi Kota Semarang dengan kabupaten di sekitarnya. Kondisi transportasi yang digunakan pada penelitian ini yaitu jumlah kendaraan, panjang jalan, jalan rusak dan waktu tempuh menuju ke pusat Kota Semarang. Sedangkan kondisi ekonomi yang digunakan yaitu PDRB dan nilai gravitasi. Dari hasil penelitian, interaksi kuadran 1 (unggul) yaitu antara Kota Semarang dengan Kabupaten Semarang, interaksi kuadran II (berkembang) yaitu Kota Semarang dengan Kabupaten Demak dan interaksi kuadran III (potensial) yaitu Kota Semarang dengan Kabupaten Kendal. Abstract. Semarang city as the center of activity in Central Java must be supported by superior transportation conditions, so that the mobilization of people, goods and services can run well. In an economic context, Semarang City transportation is an important aspect for distribution in upstream and downstream channels which also involves other surrounding districts, namely Semarang, Demak and Kendal Regencies. This research was conducted to see the interaction between transportation and the economy of Semarang City and the surrounding districts. The transportation conditions used in this research are the number of vehicles, road length, damaged roads and travel time to the center of Semarang City. Meanwhile, the economic conditions used are GRDP and gravity value. From the research results, the interaction in quadrant 1 (excellent) is between Semarang City and Semarang Regency, the interaction in quadrant II (developing) is between Semarang City and Demak Regency and the interaction in quadrant III (potential) is between Semarang City and Kendal Regency.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".