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Record W4312462700 · doi:10.33479/kurawal.v4i2.463

PERENCANAAN STRATEGIS SI/TI PADA UNIVERSITAS MA CHUNG

2021· article· id· W4312462700 on OpenAlexaff
Azha Satirah Khairunnisa, Yudhi Kurniawan

Bibliographic record

VenueKurawal - Jurnal Teknologi Informasi dan Industri · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusinessPolitical scienceBusiness administrationHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Universitas Ma Chung merupakan sebuah Universitas swasta Pengembangan teknologi SI/TI pada Unversitas Ma Chung terus dilakukan tetapi tata kelola terhadap Sistem Informasi/Teknologi Informasi masih belum terlaksana secara optimal dan juga petunjuk penggunaan Sistem Informasi/Aplikasi masih belum terlaksana secara baik. Selama ini pengelolaan SI/TI masih tidak terstruktur sehingga evaluasi pencapaian dan kinerja pengelolaan SI/TI tidak dapat diukur. Oleh karena itu diperlukannya dokumen Perencanaan Strategi SI/TI. Masalah yang dapat diidentifikasi pada penelitian yaitu, belum adanya dokumen perencanaan strategis SI/TI sehingga mengakibatkan evaluasi pencapaian terhadap kinerja pengelolaan SI/TI tidak dapat diukur dan tidak dapat dievaluasi atau di monitor. Dalam penelitian ini hanya Menggali kebutuhan pembuatan dokumen perencanaan strategis SI/TI dalam lingkup hanya di Universitas Ma Chung. Dalam pelaksanaan penelitian ini dilakukan dengan melihat lingkungan bisnis serta SI/TI secara internal dan eksternal sesuai kondisi saat ini. Penelitian menggunakan metode Ward and Peppard. Dari hasil analisis strategis SI/TI yang telah dilakukan didapatkan hasil kesimpulan bahwa strategi bisnis yang ada di Universitas Ma Chung dapat sejalan dan dibantu dengan strategi SI/TI yang ada. Jadi, diharapkan kedepannya perencanaan strategi SI/TI ini dapat terus dilakukan.

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, 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 score0.553
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
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.262
Teacher spread0.222 · 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
Published2021
Admission routes1
Has abstractyes

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