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Record W2599466554

SISTEM INFORMASI PENGOLAHAN DATA IONOSFER DALAM MENDUKUNG PELAYANAN DATA PADA BPD LAPAN PONTIANAK

2017· article· id· W2599466554 on OpenAlexaboutno aff
Reza Budi Susatyo

Bibliographic record

VenueJurnal Sistem dan Teknologi Informasi (JustIN) · 2017
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicDecision Support System Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsIonosonde
DOInot available

Abstract

fetched live from OpenAlex

Abstrak – Pengamatan dibidang ionosfer, Balai Pengamatan Dirgantara LAPAN Pontianak memiliki peralatan pengamatan yang terdiri dari peralatan CADI ( Canadian Advanced Digital Ionosonde ) dan GISTM/TEC ( Ionospheric Scintillation and TEC Monitor ). Pada bagian pengolahan data ionosfer belum memiliki sistem informasi dalam pengelolaan data ionosfer, sehingga data tersebut dapat dimanfaatkan dan dikembangkan untuk kebutuhan yang berhubungan dengan lapisan ionosfer. Desain sistem penelitian ini menggunakan Data Flow Diagram dan Entity Relationship Diagram serta sistem pengujiannya mengunakan Black Box dan Borang yang kemudian dihitung dengan menngunakan metode LSR ( Lik ert Summated Rating ). Hasil dari penelitian ini yaitu sistem informasi pengolahan data ionosfer yang dapat membantu dalam mendistribusikan data hasil pengolahan data ionosfer dengan mudah antar pegawai dan laporan kepada pimpinan. Kata kunci : CADI, GISTM/TEC, 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 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)0.002
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.014

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 head0.110
GPT teacher head0.316
Teacher spread0.206 · 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
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".

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Citations1
Published2017
Admission routes1
Has abstractyes

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