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Record W4289521694 · doi:10.51401/jinteks.v4i3.1877

PENENTUAN MEDIA PROMOSI STT WASTUKANCANA PURWAKARTA MENGGUNAKAN METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESMENT (WASPAS)

2022· article· id· W4289521694 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Informatika Teknologi dan Sains (Jinteks) · 2022
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsComputer scienceArt

Abstract

fetched live from OpenAlex

Promosi merupakan suatu unsur yang digunakan untuk memberitahukan dan membujuk pasar tentang produk atau jasa yang baru pada perusahaan melalui sebuah iklan. Namun banyaknya pilihan media promosi pada saat ini membuat kita dituntut untuk terus melakukan pengambilan keputusan dengan baik tepat dan juga cepat,memilih media promosi di Sekolah Tinggi Teknologi (STT) Wastukancana Purwakarta dengan metode Weighted Aggregated Sum Product Assesment. Dimana alternatif dan kriteria telah ditentukan oleh Tim promosi STT Wastukancana. Terdapat 5 (Lima) kriteria yang telah ditemtukan yaitu pembiayaan, kelengkapan informasi,konten promosi,jangkauan, dan fleksibilitas akses. Serta untuk alternatifnya yaitu: brosur,spanduk,sosialisasi, media social dan website. Metode pengembangan perangkat lunak yang digunakan adalah waterfall. Aplikasi ini dibangun mengunakan PHP Codeigniter dan MYSQL, kemudian metode pengujiannya menggunakan Black Box Testing. Hasil perhitungan menempatkan media social sebagai alternatif media promosi yang paling direkomendasikan.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0070.005
Research integrity0.0010.006
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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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