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Record W3003348620 · doi:10.59697/jsik.v4i1.766

SISTEM INFORMASI PENDAFTARAN PERNIKAHAN PADA KANTOR CATATAN SIPIL DI KOTA BINJAI

2020· article· en· W3003348620 on OpenAlexaff
Fina Nilam Sari, Suci Ramadani

Bibliographic record

VenueJurnal Sistem Informasi Kaputama (JSIK) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

The Population and Civil Registry Office of Binjai City is a government agency which is engaged in providing services to the community. In running a marriage registration service, the binjai city Population and Civil Registry service serves Marriage registration for about 10 days because the system used is still not computerized or still manual with a collection of document files. So it takes a very long time in the process. Therefore to achieve less effective and efficient time in registration. Then the making of an online Marriage Registration Information system will be made which will greatly facilitate the marriage registrar's administrators. Using a website base with the programming language used is PHP. So that it will be easy to use many kinds of devices, both laptops, computers, mobile phones, and smartphones. The information system is made according to procedures in the Population and Civil Registry Office of Binjai City. Starting from registration until the issuance of a registered certificate after that can provide activity reports to the Department of Population and Civil Registration binjai city through the website without having to come to the Office of Population and Civil Registration. The results of this thesis are in the form of a Binjai City Marriage Registration Information System. With such a solution the time in service will only take faster so that it becomes maximal.

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 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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
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 head0.031
GPT teacher head0.279
Teacher spread0.248 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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