Sistem Monitoring Tanaman Berbasis Internet of Things di SMK Telkom Bandung
Bibliographic record
Abstract
Perkembangan teknologi yang sangat pesat mengharuskan kurikulum dan keahlian siswa juga harus mengikuti perkembangan tersebut dengan baik termasuk di Sekolah Menengah Kejuruan (SMK) Telkom Bandung. Pada kegiatan ini, sistem monitoring jarak jauh berbasis Internet of Things (IoT) digunakan dan dapat diakses melalui ponsel. Sekolah Menengah Kejuruan (SMK) Telkom Bandung memiliki program studi Teknik Jaringan Komputer dan Telekomunikasi (TJKT), yang visinya adalah mempersiapkan siswa menghadapi revolusi digital dan memanfaatkan teknologi untuk masa depan yang lebih baik. Pengenalan teknologi IoT dengan perangkat seperti Arduino telah diajarkan di SMK untuk mendukung visi ini. Tim dosen dan mahasiswa Telkom University membuat modul, perangkat dan memberikan workshop tentang pembuatan alat berbasis IoT yang dapat memonitor suhu, kelembaban, kelembaban tanah, dan sensor gerak melalui ponsel sebagai bagian dari program pengabdian masyarakat. Peserta aktif terlibat dalam kegiatan ini dan memberikan feedback positif, menciptakan kesan inovatif yang baik. Kegiatan serupa diharapkan dapat terus dilakukan untuk mendukung pendidikan vokasi.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".