RANCANGAN SISTEM INFORMASI KEPENDUDUKAN BERBASIS WEB DI KANTOR CAMAT MEDAN DELI
Bibliographic record
Abstract
Kecamatan merupakan suatu organisasi pemerintahan yang terdiri dari beberapa kelurahan, dan setiap bulannya masing masing kelurahan wajib melaporkan mengenai data-data kependudukannya kepada kecamatan. Pengolahan data kependudukan yang dilakukan oleh kelurahan saat ini masih berjalan dengan manual dimana mesin tik dan buku catatan merupakan alat utama dalam melakukan proses pegolahan data penduduk sehingga sering terjadi banyak kesalahan dalam melakukan proses pelaporan data penduduk tiap bulannya kepada kecamatan. Untuk mengatasi masalah diatas, maka dibutuhkan sebuah sistem yang dapat mempermudah proses penginformasian data kependudukan dan efisiensi bagi pegawai kecamatan dalam melakukan update data tanpa harus menunggu laporan bulanan dari masing masing kelurahan, mempermudah pegawai kelurahan dalam melakukan pengolahan dan pelaporan data kependudukan sehingga dapat mempengaruhi optimalisasi proses kerja pegawai kecamatan. Berdasarkan latar belakang diatas maka dibuat judul “Rancangan Sistem Informasi Kependudukan Berbasis Web di Kantor Camat Medan Deli”
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.046 | 0.038 |
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".