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All Journal Jurnal Sistem Informasi dan Ilmu Komputer
Muhammad Fathi Ramdhana
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Computer Science & IT

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Implementasi Sistem Deteksi Kantuk Secara Real-Time Bagi Pengemudi Menggunakan Metode Eye Aspect Ratio Mochammad Fadiil Thoriq; Muhammad Fathi Ramdhana; Desinta Nur Rahma; Najla Amelia Putri; Rafi Hilal Zahir; Gema Parasti Mindara; Endang Purnama Giri
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 4 (2024): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i4.4226

Abstract

Traffic accidents are one of the leading causes of death worldwide, where drowsiness while driving is a significant factor that reduces driver alertness. This study develops a real-time driver drowsiness detection system using the Eye Aspect Ratio (EAR) method to avoid this. EAR calculates the ratio of the upper and lower eyelid distances to detect signs of drowsiness based on changes in eye shape. This system utilizes the OpenCV and Dlib libraries to identify faces and measure EAR, with a threshold of 0.25 as a warning trigger. If the EAR value drops below the threshold in several consecutive frames, the system automatically activates an alarm to increase driver alertness. With the advantages of cost efficiency and ease of implementation without additional hardware, this system is suitable for various types of vehicles. The results show that this system is effective in providing early warnings, thus helping to reduce the risk of accidents due to drowsiness.
Analisis Fitur Aplikasi Japanese Kanji Study sebagai Media Pendukung Pembelajaran Bahasa Jepang Najla Amelia Putri; Desinta Nur Rahma; Muhammad Fathi Ramdhana; Mochammad Fadiil Thoriq; Humannisa Rubina Lestari
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.4920

Abstract

Mastering kanji characters is a crucial aspect of learning the Japanese language, yet many beginner learners face challenges in memorizing their forms, meanings, and readings. To support independent learning, digital applications such as Japanese Kanji Study offer practical and flexible alternatives. This study aims to analyze the features of the Japanese Kanji Study application and evaluate its effectiveness as a learning medium. The research adopts an exploratory qualitative approach, involving a seven-day direct investigation of the application’s core features, along with user reflection and comparison with two similar applications. The results indicate that Japanese Kanji Study provides a user-friendly interface, content organized by JLPT levels, and features that facilitate understanding of meanings, readings, and stroke order of kanji. Over the exploration period, the author successfully learned 35 N5-level kanji characters. User reflections show that the application is effective in improving kanji comprehension, although further development is needed in terms of interactivity and learning motivation. In conclusion, Japanese Kanji Study serves as a valuable self-learning tool for kanji, particularly for beginner learners.  
Co-Authors Desinta Nur Rahma Endang Purnama Giri Gema Parasti Mindara Humannisa Rubina Lestari Mochammad Fadiil Thoriq Najla Amelia Putri Rafi Hilal Zahir