Sistem Pencatatan Laporan Tanam Dan Hasil Panen Menggunakan Sms Gateway Di Wilayah Kabupaten Bandung Barat
Bibliographic record
Abstract
Tujuan membangun Sistem Pencatatan Laproan Tanam dan Hasil Panen Menggunakan SMS Gateway adalah sebagai alat pendukung untuk mengirimkan informasi kepada petani dengan efisien dan cepat. Teknologi Informasi yang digunakan dalam membangun Aplikasi SMS Gateway untuk Sistem Pencatatan Laporan Tanam dan Hasil Panen di Dinas Pertanian berbasis PHP dan menggunakan Gammu sebagai antarmuka yang menghubungkan handphone atau modem dengan komputer. Sebagai Metode Penelitian digunakan Metode SDLC. Sistem ini menggunakan modem dan Handphone sebagai media pengiriman dan penerima pesan masuk. Sistem ini dibangun dengan cara mengkonfigurasikan gammu agar dapat bekerja dengan baik, membuat sistem yang mampu membalas sms registrasi dan informasi dengan auto replay. Dari hasil penelitian dan pengujian yang telah dilaksanakan, diperoleh kesimpulan bahwa Gammu dapat dikonfigurasikan dengan modem dan database melalui device manager. Sistem ini bisa mendeteksi pesan masuk pada inbox yang dikirim oleh petani dan bisa mengirimkan balasan sesuai dengan kebutuhan petani.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 0.028 |
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".