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Record W4406648439 · doi:10.29313/jrpwk.v4i2.5456

Analisis Interaksi Transportasi dan Kondisi Ekonomi Kota Semarang dengan Kabupaten Sekitarnya

2024· article· id· W4406648439 on OpenAlexaff
Ummi Hanifah Marshush, Hilmi Hilmansyah

Bibliographic record

VenueJurnal Riset Perencanaan Wilayah dan Kota · 2024
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.025
GPT teacher head0.234
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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