Sistem Pendukung Keputusan Pemilihan Access Point Di Hotel Ibis Styles Medan Pattimura Menggunakan Metode MOORA
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.
Bibliographic record
Abstract
Sistem pendukung keputusan adalah bagian dari sistem informasi berbasis komputer (termasuk sistem berbasis pengetahuan). Yang dipakai untuk mendukung pengambilan keputusan dalam suatu sistem. Sistem pendukung keputusan memberikan suatu keputusan yang bersifat semiterstruktur, dimana tidak seorang pun tau secara pasti bagaimana keputusan seharusnya dibuat.Pemilihan Access Point selalu memberikan kualitas yang terbaik kepada para IT untuk dipakai pada Hotel tersebut. Untuk mendapatkan kualitas yang terbaik maka para IT Hotel membutuhkan sebuah sistem pendukung keputusan. Pada penelitian ini penulis menerapkan metode Multi Objective Optimization On The Basic Of Ratio Analysis (MOORA Method)sebagai metode yang akan diterapkan di dalam sistem pendukung keputusan pemilihan Access Point dengan tidak terlalu banyak membuang waktu dalam memilih Access Point dan tentunya hasil pemilihan yang tersistem akan lebih efektif
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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 it