RANCANG BANGUN PEMANDU TUNA NETRA MENGGUNAKAN SENSOR ULTRASONIK BERBASIS MIKROKONTROLER
Bibliographic record
Abstract
Penyandang tuna netra memiliki kondisi fisik yang terbatas. Kondisi fisik ini membuat penyandang menggunakan tongkat sebagai alat pemandu dalam kegiatan sehari-hari. Kemajuan teknologi membantu penyandang mengganti tongkat dengan alat pemandu menggunakan sensor ultrasonik sehingga lebih leluasa bergerak. Sensor ultrasonik bekerja dengan memanfaatkan gelombang ultrasonik sebagai pemancar dan menghitung jarak dengan perbedaan selisih waktu. Kepekaan sensor ultrasonik dari 2 cm sampai 200 cm. Pengolah data yang digunakan adalah mikrokontroler arduino dan keluaran berupa motor getar. Alat pemandu tuna netra menggunakan sabuk sebagai desain utama. Sensor diletakkan pada sisi kiri, depan, dan kanan sabuk untuk mendeteksi benda yang berada pada jarak pantulan sensor. Motor getar diletakkan pada samping sensor untuk memberikan getaran ketika sensor ultrasonik aktif. Alat pemandu tuna netra mempunyai spesifikasi dalam mendeteksi jarak 30 cm di kiri sabuk, 150 cm di depan sabuk, 30 cm di kanan sabuk dan 120 cm – 125 cm di bawah sabuk.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".