RANCANGAN SISTEM JARINGAN FIBER TO THE HOME DALAM IMPLEMENTASI SMART METER AMI.
Bibliographic record
Abstract
Smart meter AMI merupakan alat untuk memonitoring dan mengukur penggunaan daya listrik yang dilengkapi fitur komunikasi dua arah dengan informasi yang komprehensif dan memungkinkan untuk transfer data informasi konsumsi listrik ke pelanggan secara langsung, serta pembacaan meter otomatis dengan kemampuan penerapan tarif secara dinamis dan interkoneksi. Dalam mengawali proses pembangunan infrastruktur pengkabelan fiber optic untuk menunjang sistem informasi pada smart meter AMI dilakukan proses rancangan untuk proses implementasi. Dengan dilakukan survey pada rentang waktu dua bulan yang berlokasi di Tangerang Raya (Kabupaten Tangerang, Kota Tangerang dan Kota Tangerang Selatan) dengan panjang lintasan pulling 304.030 m dengan beberapa lokasi terdapat hambatan jalur berupa jembatan panjang, jalur crossing dan sistim penanaman kabel. Dalam perancangan ini dilakukan analisis kebutuhan jalur, topology, diagram scheme dan POC
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.009 |
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".