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Record W4387216829 · doi:10.59697/jik.v2i1.431

SISTEM INFORMASI BERBASIS WEB PADA BADAN NARKOTIKA NASIONAL (BNN) KOTA BINJAI

2018· article· id· W4387216829 on OpenAlex

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

VenueJurnal Informatika Kaputama (JIK) · 2018
Typearticle
Languageid
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Perkembangan sistem informasi manajemen telah menyebabkan terjadinya perubahan yang cukup signifikan dalam pola pengambilan keputusan yang dilakukan oleh manajemen baik pada tingkat operasional maupun pimpinan pada semua jenjang. Meningkatnya penggunaan teknologi informasi, khususnya internet, telah membawa setiap orang dapat melaksanakan berbagai aktivitas dengan lebih akurat, berkualitas, dan tepat waktu. Dengan adanya sistem informasi tentang pendataan penyalahgunaan narkoba saat ini masih di catat secara manual dan belum terkomputerisasi, sehingga dalam membuat laporan-laporan sering mengalami keterlambatan dan redudansi data. Oleh karena itu perlu adanya sistem informasi berbasis Web yang akan membantu pegawai di Badan Narkotika Nasional (BNN) Kota Binjai untuk melaksanakan tugasnya dalam membuat laopran-laporan tentang penyalahgunaan narkoba pada setiap periode. Sistem Informasi ini dirancang, sudah berjalan dengan baik dan dapat memberikan informasi kepada masyarakat mengenai narkoba.Untuk itu dalam laporan Tugas Akhir ini penulis akan mengusulkan sebuah sistem informasi yang baru dalam sistem informasi berbasis web pada Badan Narkotika Nasional (BNN) Kota Binjai.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0030.008
Open science0.0050.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.012

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 head0.017
GPT teacher head0.250
Teacher spread0.232 · 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