Purwarupa Alat Komunikasi dan Monitoring Pada Rumah Sakit Menggunakan Li-Fi untuk Mengurangi Gangguan Gelombang Elektromagnetik Pada Alat Medis
Bibliographic record
Abstract
Makalah ini memaparkan hasil penelitian pengembangan purwarupa alat komunikasi teks dan monitoring data pasien di rumah sakit. Rumah sakit merupakan salah satu fasilitas Kesehatan dimana terdapat peralatan yang mempunya interferensi elektromagnetik (EMI) tingkat tinggi yang menjadi sangat sensitif terhadap gangguan elektromagnetik. Pada penelitian ini penulis membuat sistem purwarupa alat komunikasi dan monitoring berbasis teknologi LI FI (Light Fidelity) unutk mengurangi gangguan gelombang elektromagnetik pada alat medis. Li Fi bekerja mengirimkan data melalui media transmisi cahaya yang merupakan salah satu spektrum gelombang magnetic yang tidak berbahaya. Purwarupa alat ini menggunakan sensor MAX30100 sebagai sensor oximetry, sensor suhu MLX90614, sensor heart rate dan sensor SpO2. Purwarupa juga dilengkapi fitur pengiriman pesan teks yang berjalan dua arah. Hasil uji coba memperlihatkan purwarupa dapat bekerja dengan baik sesuai disain.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".