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Record W4402281494 · doi:10.31004/dedikasi.v2i1.45

Pendampingan Penyusunan Rencana Induk Kawasan Asrama Haji Embarkasi Banjarmasin Sebagai Upaya Pemenuhan Standar Kawasan

2024· article· en· W4402281494 on OpenAlexaff
Hanny Maria Caesarina, Achmad Zabir Djaenudin, Abdul Aziz

Bibliographic record

VenueDedikasi Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEngineering

Abstract

fetched live from OpenAlex

The Banjarmasin Embarkation Hajj Dormitory is currently trying to improve its service quality for prospective Hajj pilgrims. At the moment, the area which were built in 1980, no longer meets state building planning standards which might have an impact on decreasing service quality. Outside the Hajj season, the dormitory can also be used by the community, government agencies and socio-religious organizations for activities. This community service activity aims to analyse the suitability of the area as a type E.1 Hajj dormitory area so that it can meet national standards as the basic framework for masterplan through 4 series of group discussion forum. From total of 14 buildings, 4 still meet national standards set by the Indonesian Ministry of Religion, the Director General of Hajj and Umrah. Hence, to revitalize the area, several changes are needed such as developing vehicle and pedestrian circulation routes, building new dormitories, polyclinics, airplane mock-up studios, developing utility networks and clean water , as well as moving the Hajj ritual area. The final evaluation shows results that 4 out of total 14 standards were only maximum 80% developed due to the limited site. However, the master plan reaches 100% for the rest 10 standards.

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: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.011
GPT teacher head0.236
Teacher spread0.224 · 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
GenreOther

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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Same venueDedikasi Jurnal Pengabdian Pendidikan dan Teknologi MasyarakatSame topicCoastal Management and DevelopmentFrench-language works237,207