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Record W4285089597 · doi:10.32664/j-intech.v10i1.676

Sistem Informasi Berbasis Web Untuk Pelaporan Kriminalitas Dan Monitoring Kinerja Pada Seluruh Polsek Di Wilayah Kabupaten Madiun

2022· article· id· W4285089597 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

VenueJ-INTECH · 2022
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsComputer scienceHumanitiesArt

Abstract

fetched live from OpenAlex

In the Madiun, the recording process (incident reporting) carried out by members of the Sector Police still uses printed type and is sent in the form of an official letter. In the police supervision section, the police in this area are still manual, namely recapitulating and printing activities to be reported to the police chief. The purpose of this research is to create a website-based information system that will feature the process of reporting criminal & non-criminal events as well as performance features for police officers who function as supervision and monitoring of police performance. The development method used in this research is a waterfall with the stages of gathering requirements, the design process, implementation, integration or testing and the last is operation. In testing the system, the author uses the Blackbox Testing method in which the functionality of this system will be tested whether it is as expected or not. Based on these tests the authors can draw the conclusion that with this system it can make it easier for police members in the process of reporting criminal and non-criminal events around them and make it easier for the police chief in the process of monitoring or monitoring the performance of his members.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.263
Teacher spread0.242 · 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