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Record W4200325206 · doi:10.35957/jatisi.v8i4.1129

ENTERPRISE ARCHITECTURE SEBAGAI STRATEGI DALAM OPTIMALISASI PROSES DAN TEKNOLOGI MENGGUNAKAN TOGAF ADM

2021· article· id· W4200325206 on OpenAlexaff
Syifa Aria Salsabila

Bibliographic record

VenueJATISI (Jurnal Teknik Informatika dan Sistem Informasi) · 2021
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsThe Open Group Architecture FrameworkEnterprise architectureBusiness administrationArchitectureComputer scienceProcess managementBusinessEnterprise architecture managementGeography

Abstract

fetched live from OpenAlex

PT XYZ merupakan perusahaan yang menawarkan audit pihak ketiga untuk menyediakan jasa sertifikasi sumberdaya alam dan lingkungan. Dalam menjalankan perusahaannya, PT XYZ memiliki layanan utama pada fungsi sertifikasi yaitu Audit Sertifikasi dan Penerbitan Dokumen Legalitas. Seiring dengan kemajuan teknologi informasi dan komunikasi, PT XYZ memiliki beberapa kendala dan membutuhkan strategi teknologi informasi yang tepat untuk menyelesaikan permasalahannya. Pertukaran data yang belum efektif merupakan salah satu kendala yang terjadi di fungsi sertifikasi yang menyebabkan munculnya keluhan pelanggan terhadap kecepatan layanan. Dalam penelitian ini akan membahas perancangan Enterprise Architecture sebagai strategi dalam optimalisasi proses dan teknologi menggunakan TOGAF ADM. Perancangan tersebut dimulai dari preliminary phase, architecture vision, business architecture, data architecture, application architecture, technology architecture, opportunities and solution, dan migration planning. Dengan blueprint dan IT Roadmap sebagai hasil akhir dari penelitian ini, diharapkan akan membantu PT XYZ dalam menyelesaikan permasalahannya segaligus menjadi strategi dalam optimalisasi proses dan teknologi yang tepat.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0050.018
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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