PENENTUAN MEDIA PROMOSI STT WASTUKANCANA PURWAKARTA MENGGUNAKAN METODE WEIGHTED AGGREGATED SUM PRODUCT ASSESMENT (WASPAS)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".