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Record W4407043368 · doi:10.54082/jamsi.1371

Penyuluhan Penggunaan Jalan untuk Meredam Konflik antar Pengguna di Rukun Warga 04 Kayuringin Jaya, Kota Bekasi, Jawa Barat

2024· article· id· W4407043368 on OpenAlexaff
Hanny Wahidin Wiranegara, Anita Sitawati Wartaman, Marselinus Nirwan Luru, Martinus Bambang Susetyarto, Satrio Maulana Ikhsan

Bibliographic record

VenueJurnal Abdi Masyarakat Indonesia · 2024
Typearticle
Languageid
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyBusiness

Abstract

fetched live from OpenAlex

Terjadi konflik penggunaan jalan antar pengguna di perumahan Rukun Warga O4 Kelurahan Kayuringin Jaya, Kecamatan Bekasi Selatan, Kota Bekasi, Jawa Barat. Fungsi utama jalan sebagai ruang publik adalah untuk pergerakan masyarakat umum. Di lapangan, jalan digunakan untuk berbagai kepentingan pribadi seperti tempat parkir kendaraan, tempat berusaha, tempat menyimpan perabot rumah tangga, tempat menyimpan pot tanaman, tempat bermain dan berkumpul, dan lain-lain. Telah ada peraturan tentang penggunaan jalan sebagai ruang publik, tetapi warga perumahan belum mengetahui dan memahaminya. Agar mereka menjadi tahu dan paham perlu dilakukan “Penyuluhan Penggunaan Jalan untuk Meredam Konflik Antar Pengguna di Rukun Warga 04 Kayuringin Jaya, Kota Bekasi, Jawa Barat”. Metode pengabdian yang dipilih adalah penyuluhan. Hasil penyuluhan menunjukkan adanya peningkatan pemahaman peserta penyuluhan tentang fungsi jalan, keragaman pengguna, prinsip penggunaan jalan, dan berbagai contoh konflik penggunaan badan jalan di perumahan melalui perbandingan antara hasil pretest dengan hasil post-test. Dampak yang diharapkan dari penyuluhan ini adalah adanya perubahan dalam perilaku penggunaan jalan di perumahan sehingga dapat meredam konflik antarpenggunanya serta fungsi utama jalan tidak banyak terganggu.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0570.012

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 head0.010
GPT teacher head0.214
Teacher spread0.205 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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