Sistem Kendali Penyiram Tanaman Menggunakan Propeller Berbasis Internet Of Things
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penyiraman tanaman yang masih manual menjadikan tanaman tidak terawat dengan baik karena waktu aktifitas yang padat, atau jenis tanaman yang dimiliki memiliki perhatian khusus baik secara tempat yang harus sejuk dan kebutuhan air yang harus tetap terpenuhi.Jika penyiraman tanaman ini bisa dilakukan secara otomatis oleh bantuan alat maka akan sangat bermanfaat dan lebih mempermudah dalam proses perawatan tanaman. Penelitian ini bertujuan untuk merancang sebuah alat penyiram tanaman otomatis dengan menggunakan propellerdan sensor moinsture sebagai alat untuk mendeteksi kadar kelembaban tanah. Data diperoleh melalui (1) Penelitian Lapangan (2) Penelitian Pustaka (3) Wawancara. Hasil penelitian ini menunjukkan bahwa prototype penyiram tanaman menggunakan propeller berbasis internet of things dapat mempermudah dan menghemat waktu.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it