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Record W4405813552 · doi:10.60126/maras.v2i3.460

Otonomi Organisasi Guna Efektifitas Tata Kerja Laboratorium Pengujian

2024· article· id· W4405813552 on OpenAlex
Endang Retnaningsih

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMARAS Jurnal Penelitian Multidisiplin · 2024
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Laboratorium pengujian di Balai Besar Pelaksanaan Jalan Nasional Jawa Timur – Bali memiliki peran penting dalam memastikan kualitas infrastruktur jalan dan jembatan. Di bawah struktur Bidang Pembangunan Jalan dan Jembatan, laboratorium ini menghadapi beberapa tantangan, termasuk kurangnya otonomi pengelolaan anggaran dan keterbatasan dalam pemeliharaan serta kalibrasi peralatan. Melalui analisis GAP, diidentifikasi terdapat kesenjangan utama yang mempengaruhi kinerja laboratorium, termasuk keterbatasan anggaran untuk pengujian lapangan dan peralatan yang tidak seluruhnya terkalibrasi. Kebijakan yang direkomendasikan untuk mengatasi masalah ini mencakup pemberian otonomi pengelolaan anggaran, peningkatan frekuensi pengujian di lapangan, investasi dalam peralatan dan pengembangan kompetensi Sumber Daya Manusia (SDM). Usulan struktur organisasi Laboratorium langsung dibawah Kepala Balai Besar Pelaksanaan Jalan Nasional memberikan fleksibilitas dalam pengelolaan tata kerja laboratorium secara mandiri. Implementasi kebijakan ini diharapkan dapat meningkatkan efisiensi dan efektifitas operasional laboratorium dalam mendukung konstruksi infrastruktur jalan dan jembatan di wilayah Jawa Timur dan Bali.

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.

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)0.002
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0070.004
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.016

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 head0.013
GPT teacher head0.245
Teacher spread0.233 · 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