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Record W4320066850 · doi:10.24114/jgk.v6i4.39894

PERENCANAAN STRATEGIS SISTEM INFORMASI PENGELOLAAN GURU DI SD NEGERI KUALA BUBON

2022· article· en· W4320066850 on OpenAlexaff
Suhelmi Suhelmi, Rita Rahniar, Yusnaidi Yusnaidi, Lisa Yani, Iis Marsithah, Sri Milfayetty

Bibliographic record

VenueJGK (Jurnal Guru Kita) · 2022
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsInstitutionStrategic planningService (business)PortfolioPlan (archaeology)Process managementInformation systemBusinessProcess (computing)Knowledge managementComputer scienceEngineering managementMarketingSociologyEngineeringFinance

Abstract

fetched live from OpenAlex

Abstract: Strategic Planning of Teacher Management Information System at Sd Negeri Kuala Bubon. The success of schools in the application of IS/IT in an organization or institution depends on the provision of data or information in accordance with the needs of the organization/institution. If it is not managed with careful planning, it is impossible to realize excellent service, so it is necessary to do strategic planning of information systems to support the process of organizational existence so that organizational goals can be achieved. This plan will refer to the Ward and Peppard framework, namely analyzing internal and external businesses, and analyzing IS/IT portfolios. For business analysis use Value Chain and PEST, while for portfolio analysis uses Mc Farlan's portfolio. The results of the analysis are in the form of business processes, data and information needs, and IS/IT portfolios for the current and future management of teachers at SDN Kuala Bubon.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.005

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 head0.012
GPT teacher head0.234
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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