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Record W3101737917 · doi:10.53514/ir.v1i1.7

PERANCANGAN TATA KELOLA TEKNOLOGI INFORMASI PADA PERGURUAN TINGGI DENGAN MENGGUNAKAN FRAMEWORK COBIT 5 STUDI KASUS : STMIK DHARMA WACANA METRO

2017· article· id· W3101737917 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

VenueInternational Research on Big-Data and Computer Technology I-Robot · 2017
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsComputer scienceOperating systemBusiness administrationBusiness

Abstract

fetched live from OpenAlex

STMIK Dharma Wacana Kota Metro sebagai lembaga pendidikan berupaya untuk mengikuti perkembangan dalam menerapkan teknologi informasi. Namun saat ini tata kelola teknologi yang diterapkan tidak berjalan sesuai harapkan perguruan tinggi, hal ini terlihat dari pengguna yang kurang memahami pemakaian perangkat komputer/teknologi serta belum adanya prosedur dalam pemakaian dan perbaikan pada teknologi, kegagalan pengoperasian system, hilangnya data oleh virus, pemakaian komputer yang bukan pemiliknya sehingga rentan dalam bocornya informasi, kurangnya pemahaman staff tentang teknologi komputer yang digunakan (komputer), staff yang melakukan pekerjaan diluar unit kerjanya Oleh karena itu, dibutuhkan suatu pengelolaan terhadap aktivitas bisnis dan resiko yang tidak hanya meliputi masalah teknis atau operasional, tetapi juga eksekutif manajemen agar dapat memenuhi kebutuhan bisnis, seperti IT governance

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesScience and technology studies, Open science, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0190.016
Research integrity0.0020.008
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 head0.185
GPT teacher head0.431
Teacher spread0.247 · 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