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Driver Facial Detection Across Diverse Road Conditions Shofiah, Siti; Sediyono, Eko; Hasibuan, Zainal Arifin; Kristianto, Budhi; Setiawan, Santo; Pratindy, Raka; Hakim, M. Iman Nur; Humami, Faris
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.1996.108-114

Abstract

This study emphasizes the importance of facial detection for improving road safety through driver behavior analysis. Its employs quantitative methodology to underscore the importance of facial detection in enhancing road safety through driver behavior analysis. The research utilizes the Python programming language and applies the Haar cascade method to investigate how environmental factors such as low light, shadows, and lighting changes influence the reliability of facial detection. Employing the AdaBoost algorithm, the study achieves face detection rates exceeding 95%. Practical testing with an ASUS A416JA laptop and Raspberry Pi under varied lighting conditions and distances demonstrates optimal performance in detecting faces between 30 cm and 70 cm, with reduced efficacy outside this range, particularly in low light conditions and at night. Challenges identified include decreased performance in low light conditions, emphasizing the need for improved algorithmic calibration and enhancement. Future research directions involve refining detection algorithms to effectively handle diverse environmental conditions and integrating advanced machine learning techniques, thereby enhancing the accuracy of driver behavior analysis in real-world scenarios and contributing to advancements in road safety
Peningkatan Kompetensi Keselamatan Berlalu Lintas di SMK Bhakti Praja Adiwerna Tsani, Mokhammad Rifqi; Asmoro, Langgeng; Hakim, M. Iman Nur; Humami, Faris; Paradana, Barasie
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 4 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i4.4544

Abstract

Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan siswa SMK Bhakti Paraja Adiwerna materi keselamatan lalu lintas dan marka rambu lalu lintas. Pada saat ini banyak anak usia sekolah kurang mengetahui aturan lalu lintas. Menurut Lembaga Keselamatan Jalan Dunia  banyak terjadi kecelakaan setiap jam yang dialami anak usia sekolah. Berdasarkan hal tersebut tujuan diadakan pengabdian tersebut agar siswa SMK bisa lebih memahami rambu dan aturan lalu lintas sehingga bias terhindar dari kecelakaan. Metode pelaksanaan dilakukan dalam empat tahap. Koordinasi adalah tahap pertama, pre-test adalah tahap kedua, materi dan diskusi adalah tahap ketiga, dan evaluasi adalah tahap keempat setelah evaluasi. Dari hasil evaluasi diketahui bahwa diperoleh hasil nilai rata-rata 88 dari 30 siswa peserta sosialisasi dengan nilai 100 tertinggi dan 70 terendah. Tanggapan dari peserta sosialisasi adalah setelah mengikuti sosialisasi mereka jadi mengetahui aturan dasar dalam berkendara sesuai dengan undang-undang lalu lintas nomor 22 tahun 2009. Selama kegiatan, peserta tetap semangat dan mendengarkan apa yang disampaikan oleh tim pengabdian.
Pengembangan Instrumen Uji Perlambatan Kendaraan Berdasarkan Gerak Lurus Berubah Beraturan pada Metode Road Test Wibowo, Muhammad Riski Septiana; Hakim, M. Iman Nur; Shofiah, Siti; Risqi, Muhammad Isro; Firdaus, Denisya Haddad
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 5 (2025): Oktober: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i5.981

Abstract

The braking system was a crucial component in ensuring the safety of motor vehicles on the road. Brake failures, such as brake fade or total malfunction, could result in fatal accidents. Therefore, an accurate and realistic testing method was necessary to measure the effectiveness of a vehicle’s braking system. This study aimed to develop a deceleration measuring device based on GPS, which could be used in road test methods. The device was designed using an ESP32 microcontroller combined with a BN-220 GPS module, RTC real-time clock sensor, 16x2 LCD, thermal printer, and microSD storage media. Testing was conducted on a Mitsubishi L300 vehicle at the Depok Beach runway in Yogyakarta, with initial speed variations ranging from 10 to 80 km/h. Calibration results showed that the device had an accuracy of 99.64% with an average error of 0.36%. Meanwhile, the test results recorded deceleration values ranging from 0.74 to 3.26 m/s², depending on the initial speed and braking conditions. Based on these findings, the developed device proved to be accurate and feasible as an alternative method for field testing of braking systems.
Advances in Driver Monitoring: A Review of Liveness Detection Techniques SHOFIAH, SITI; Suartika, I Made; Hakim, M. Iman Nur; Humami, Faris; Hidayat, Dwi Wahyu; Asmoro, Langgeng
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 15 No 2 (2024): December 2024
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v15i2.686

Abstract

Driver fatigue significantly contributed to traffic accidents, especially in countries with complex road characteristics like Indonesia. The research emphasized the importance of raising public awareness, developing improved detection technologies, and enforcing strict regulations. Various methods, including computer vision and physiological monitoring, were evaluated to detect driver fatigue and enhance safety through early warnings and advanced detection systems in vehicles. A systematic literature review (SLR) analyzed recent advancements, identified relevant articles, and synthesized findings to highlight current trends, gaps, and potential improvements in driver fatigue detection technology. The study found that driver monitoring systems had played a significant role in reducing traffic accidents, highlighting the importance of enhancing public awareness, advancing monitoring technologies, and enforcing strict regulations. Various methods, including computer vision and physiological monitoring, had been evaluated for their effectiveness in monitoring drivers and improving safety through early warnings and advanced detection systems in vehicles. The SLR identified current trends, gaps, and potential improvements in driver monitoring technology. Future research needed to focus on integrating various evaluation metrics, enhancing physiological monitoring techniques, optimizing overall system performance, and improving user experience. Additionally, interdisciplinary approaches and real-time data analysis and integration with existing vehicle systems were required to create more effective, efficient, and reliable driver monitoring systems, ultimately enhancing driving safety.
IoT-Based Dual-Sensor Vehicle Security System Using Piezoelectric and Glass-Break Detectors with GPS Tracking: Design and Performance Evaluation Rohdyawan, Zaidan Wafi; Hakim, M. Iman Nur; Pratindy, Raka; Tsani, Mokhammad Rifqi
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.421

Abstract

Purpose – This study aims to develop an IoT-based vehicle security system using a dual-sensor architecture that integrates piezoelectric and glass-break sensors, complemented by GPS tracking, to detect glass-break–based theft attempts rapidly, accurately, and in real time.Methods – A Research and Development (R&D) approach was employed at the functional prototype stage, involving hardware design, ESP32 programming, vibration response testing, glass-break tests on tempered and tinted glass, GPS accuracy assessment across three environmental conditions, and validation of IoT notification response time via Telegram.Findings - An IoT-based vehicle security system integrating piezoelectric and glass-break sensors demonstrated clear signal separation between normal conditions (ADC < 500) and glass-break events (ADC > 1000), with no overlapping distributions observed during testing. The system achieved real-time detection with an average IoT notification response time of approximately 1.14 seconds and showed near-zero false alarm occurrence under controlled experimental conditions.Research implications – Although the prototype exhibits high sensitivity and specificity in controlled environments, system performance remains influenced by IoT network quality and GPS signal degradation in enclosed spaces. Testing was limited to one vehicle model and two glass types; therefore, further research is required, including large-scale field validation, evaluation in dynamic environments, and the implementation of advanced IoT security protocols.Originality – The main contribution of this study lies in addressing the research gap between prior works that predominantly utilized single-sensor or limited sensor combinations without robust acoustic–mechanical differentiation. The applied integration of piezoelectric and glass-break sensors within an IoT-based architecture establishes a cross-verification mechanism that significantly reduces false alarm potential and enhances detection reliability compared to previous approaches.
Design and Development of an IoT-Based Car Security System Integrating GPS, Piezoelectric Sensors, and Glass Break Sensors Rohdyawan, Zaidan Wafi; Hakim, M. Iman Nur
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.20073

Abstract

The increasing number of motor vehicles has been accompanied by a rise in vehicle-related crimes, highlighting the need for more advanced and adaptive security systems. Conventional vehicle security systems are limited by their inability to provide real-time monitoring and accurate intrusion detection. This study aims to develop and evaluate an Internet of Things (IoT)-based vehicle security system that integrates multiple sensors to improve detection accuracy and responsiveness. The research employs a Research and Development (R&D) Level 3 approach, involving system design, development, and performance testing. The proposed system utilizes a combination of piezoelectric sensors for vibration detection, glass break sensors for acoustic detection, and a GPS module for real-time tracking, all controlled by an ESP32 microcontroller and connected to a Telegram-based notification system. The results indicate that the multi-sensor integration enhances the system’s ability to detect various intrusion patterns more accurately while minimizing false alarms compared to single-sensor systems. Additionally, real-time notifications and location tracking improve user responsiveness to potential threats. In conclusion, the developed system provides a more effective, accurate, and adaptive vehicle security solution suitable for modern security challenges.