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Record W2797996124 · doi:10.31000/jt.v6i2.454

ENTERPRISE ARCHITECTURE PLANNING UNTUK PENGEMBANGAN SISTEM INFORMASI AKADEMIK MENGGUNAKAN ZACHMAN FRAMEWORK

2017· article· id· W2797996124 on OpenAlexaff
Desy Nurnaningsih

Bibliographic record

VenueJurnal Teknik · 2017
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHumanitiesComputer scienceArt

Abstract

fetched live from OpenAlex

Pengembangan sistem informasi memerlukan perencanaan untuk melengkapi arah strategi perguruan tinggi.Perencanaan dibangun dengan mendefinisikan arsitektur data, aplikasi dan teknologi dalam penggunaan informasi untuk mendukung business process kemudian perancangan arsitektur untuk mengidentifikasi kebutuhan dan membuat skema arsitektur pada Universitas. Pemodelan bisnis utama yang digambarkan pada penelitian ini dalam bentuk value chain memiliki aktivitas utamanya yaitu Penerimaan Mahasiswa, Operasional Akademik, dan Penglepasan Mahasiswa. Ruang lingkup enterprise architecture planning untuk pengembangan sistem informasi ini meliputi bagian akademik. Metodologi yang digunakan dalam perancangan arsitektur enterprise Enterprise Architecture Planning dengan kerangka kerja zahman (Zachman Framework) yang mengacu baris pertama dan kedua yang merupakan perspektif perencana dan pemilik, serta tiga kolom pertama yaitu kolom data, fungsi dan jaringan. Hasil perancangan arsitektur enterprise berupa cetak biru sistem informasi untuk data, aplikasi dan teknologi.Cetak biru sistem informasi berguna sebagai landasan bagi pengembangan sistem informasi secara keseluruhan yang lebih baik dalam business process perguruan tinggi. Kata kunci: enterprise architecture planning, arsitektur data, arsitektur aplikasi, arsitektur teknologi, business process, value chain, pengembangan sistem informasi.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.262
Teacher spread0.245 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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