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All Journal Journal of Vocational, Informatics and Computer Education TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Raka Pratindy
Politeknik Keselamatan Transportasi Jalan, Indonesia
Computer Science & IT Education

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Internet of Things-Integrated Engine Cut-Off System for Monitoring Motorcycle Passenger Load Capacity Using Load Cell Sensors Syahputra Fauzan; Gunawan; Raka Pratindy; Moch. Aziz Kurniawan
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i2.858

Abstract

Purpose – This study aimed to design and develop a motorcycle passenger load capacity monitoring prototype using load cell sensors integrated with an engine cut-off feature. The system was developed to detect loads exceeding the safe capacity threshold and activate a relay-based cut-off response under controlled prototype testing conditions. Methods – This research employed a Research and Development (R&D) approach involving hardware design, component assembly, sensor calibration, software programming, and functional testing. The system integrated a half-bridge load cell sensor, HX711 amplifier, ESP32 microcontroller, 20x4 I2C LCD display, relay module, GPS NEO-6M, step-down voltage converter, and web-based monitoring platform. The prototype was tested on a Honda BeAT 2013 motorcycle with a maximum safe load threshold of 123 kg. Findings – The load cell sensor accurately measured load variations from 40 kg to 140 kg, with readings closely matching reference load values. The engine cut-off system activated reliably when the load exceeded 123 kg for five consecutive seconds, with response times of 5 seconds at 130 kg and 140 kg. LCD and website displays showed synchronized values across all test loads. GPS testing produced an average deviation of 6.86 meters and an average accuracy of 86.29%. Research implications – The prototype demonstrates the technical feasibility of integrating load sensing, engine cut-off control, GPS tracking, and IoT-based monitoring for motorcycle overload prevention under controlled static testing conditions. Further dynamic-road testing, multi-sensor validation, IoT latency evaluation, and user-centered website testing are required before operational deployment. Originality – This study presents an integrated motorcycle safety prototype combining load cell sensing, HX711 amplification, ESP32 control, relay-based engine cut-off, LCD display, GPS tracking, and real-time website monitoring.
Structural evaluation of textile machine monitoring system support frame using finite element method Deni Kurnia; Alif Firizky; Nanang Roni Wibowo; Raka Pratindy
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 1 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i1.1988

Abstract

The development of an Internet of Things (IoT)-based textile machine monitoring system requires a reliable and mechanically safe support structure. A key issue in current practice is the design of control and monitoring frameworks that rely only on previous models without adequate testing and validation. This study aims to evaluate the structural strength of the textile machine monitoring system support frame using a Finite Element Method (FEA) approach. The 3D frame model was designed using CAD software and analyzed numerically through static simulation with a loading scenario of 100–150 N on the upper part of the structure. The material used is mild steel with mechanical characteristics commonly used in industrial applications. The analysis includes evaluation of Von Mises stress, displacement, and safety factor. The simulation results show a maximum stress of 0.5582 MPa, a maximum displacement of 0.001842 mm, and a safety factor exceeding 12. These values ​​indicate that the designed structure has excellent resistance to static loads and can be categorized as safe for use in industrial environments. This study provides a strong foundation for the development of a reliable and sustainable textile machine monitoring system support structure.
Co-Authors Alif Firizky Deni Kurnia Gunawan Moch. Aziz Kurniawan Nanang Roni Wibowo Syahputra Fauzan