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Record W4401006813 · doi:10.62951/modem.v2i3.99

Audit Sistem Informasi Penerimaan Mahasiswa Baru STIMIK Kaputama Menggunakan Framework Cobit 5

2024· article· en· W4401006813 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

VenueModem · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsAuditCOBITBusinessComputer scienceInformation technologyAccountingOperating system

Abstract

fetched live from OpenAlex

Abstract: The New Student Admission Information System (SIPMB) at STMIK Kaputama aims to enhance efficiency and transparency in the student admission process. This study conducted an information system audit using the COBIT 5 framework to evaluate system maturity and provide improvement recommendations. The audit results indicate that the system has not met the expected targets in all domains, with an average maturity level of 1.35 or 135%, classified as Fully Achieved (F). However, according to the capability model mapping condition index, the value is at level 1 (Performed Process). STMIK Kaputama needs to increase openness to innovation inputs and clear communication with prospective students to avoid errors in the admission process, as well as improve service quality for prospective students.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.710
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.314
Teacher spread0.289 · 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