SISTEM INFORMASI ABSENSI BERBASIS WEB PADA BADAN PENANGGULANGAN BENCANA DAERAH KOTA TANGERANG
Bibliographic record
Abstract
Badan Penanggulangan Bencana Daerah (BPBD) Kota Tangerang adalah lembaga pemerintahan non departemen yang bertugas menanggulangi bencana di wilayah Kota Tangerang yang berpedoman pada kebijakan Badan Nasional Penanggulan Bencana. Agar kinerja karyawan meningkat diperlukan inovasi di berbagai bidang. Salah satunya mengubah sistem absensi manual dengan sistem informasi absensi berbasis web agar kecurangan-kecurangan seperti pemalsuan tanda tangan dan pengisian jam kedatangan yang berbeda dapat diatasi. Sistem absensi berbasis web ini dirancang menggunakan software adobe dreamweaver CS6, visual paradigm for 6.4 enterprise edition, XAMPP. Setelah program jadi dilakukan pengujian dengan menggunakan black box. Data penelitian dikumpulkan dengan melakukan pengamatan, wawncara dengan pihak terkait, dan membaca buku dan literatur lainnya. Sistem absensi berbasis online ini lebih menghemat waktu dan memudahkan pihak terkait dalam mengelolah data sehingga informasi yang dihasilkan dapat lebih cepat, akurat, dan aman. Kata kunci: Perancangan Sistem Informasi, Absensi, Berbasis Web
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.032 |
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".