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All Journal Jurnal Transportasi ILKOM Jurnal Ilmiah Information Technology Education Journal Berkala Forum Studi Transportasi antar Perguruan Tinggi Journal of Vocational, Informatics and Computer Education
Pratindy, Raka
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Social Sciences Transportation

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Journal : Journal of Vocational, Informatics and Computer Education

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IoT-Based Motorcycle Hydraulic Brake Condition Monitoring System with Real-Time Website Integration Ahda Elok Hijriyani, Aufil; Pratindy, Raka; Humami, Faris; Rifano
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.v4i1.587

Abstract

Purpose - Brake failure on motorcycles, particularly on downhill roads, remains a critical safety hazard driven by thermal overheating, fluid degradation, and fluid-loss conditions that conventional single-parameter monitoring systems fail to detect comprehensively. This study successfully developed and preliminarily evaluated an IoT-based multi-sensor monitoring system for real-time detection of hydraulic disc brake conditions on motorcycles using a Research and Development approach. Method - The prototype integrates a Thermocouple Type K, a capacitive moisture sensor, a Level Sensor K-0135, and a GPS BN-220 connected to an ESP32 DevKit V1 microcontroller with MySQL database and Laravel 12 web dashboard integration. Validation encompassed laboratory calibration, 40 scenario classification tests, 50 trial response time measurements, and field testing on flat and downhill roads. Findings -All sensors achieved high accuracy, with thermocouple accuracy of 98.9%, moisture sensor 97.4%, level sensor 98.82%, and GPS speed 97.3% with 100% rule-based output conformity across all 40 predefined scenarios and a mean response time of 0.9314 seconds. Field classification across 3,201 time-series readings yielded an overall classification consistency of 93.22%, with perfect recall for CRITICAL and WARNING states based on predefined threshold rules. Brake pad temperature escalated from 35°C to 134°C on downhill roads, preliminarily supporting the 120°C threshold as an early warning boundary, consistent with documented brake fluid thermal degradation characteristics. Thermocouple reliability decreased to 67.7% under worst-case vibration due to short-circuit interference, representing a critical limitation affecting system reliability under real-world conditions, while dashboard operation remains dependent on stable internet connectivity. Research Implications - This study extends prior single-parameter approaches through a three-tier classification framework (NORMAL–WARNING–CRITICAL). Originality - with the primary contribution lying in the repositioning of the thermocouple from the reservoir to the brake pad surface, enabling more proximal thermal monitoring at the friction interface under the tested conditions.
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.
Co-Authors Afifulloh, Imam Ahda Elok Hijriyani, Aufil Alawiy, Imaduddin Budhi Kristianto Eko Sediyono Hakim, M. Iman Nur Humami, Faris Prasetyo, Ilham Bagus Rahmatullah, Ghani Ridho Rifano Rohdyawan, Zaidan Wafi Setiawan, Santo Siti Shofiah Srianto Tsani, Mokhammad Rifqi Zainal Arifin Hasibuan Zalliandi, Muhammad Destri