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All Journal Jurnal Ilmiah Poli Rekayasa Jurnal Penelitian Jurnal Teknik Terapan (J-TETA)
Rifano Rifano
Politeknik Keselamatan Transportasi Jalan
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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SISTEM MONITORING PARAMETER BATERAI SEPEDA MOTOR LISTRIK BERBASIS IOT Muhammad Tatag Titis Prabowo; Rifano Rifano; Ery Muthoriq; Nanang Oktawidiandaru
Jurnal Ilmiah Poli Rekayasa Vol 21, No 2 (2026): April
Publisher : Pusat Penelitian dan pengabdian kepada Masyarakat (P3M) Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jipr.21.2.434

Abstract

The rapid growth of electric vehicle adoption in Indonesia presents significant new challenges, particularly regarding the maintenance of energy storage systems, which remain the most critical components. Batteries in electric motorcycles are highly susceptible to premature degradation caused by unstable current and voltage parameters, as well as the high risk of uncontrolled temperature spikes that can trigger permanent damage or severe fire hazards. Consequently, intensive, continuous monitoring is an absolute necessity to ensure operational safety and reliability. This research focuses on developing a sophisticated prototype for a real-time electric motorcycle battery health monitoring system by integrating advanced Internet of Things (IoT) technology.The technical design of this device utilizes the high-performance ESP32 microcontroller as the primary processing unit, paired with a PZEM-017 sensor to monitor electrical variables and an RTD PT100 sensor with a MAX31865 module for precise temperature readings. All collected data is transmitted wirelessly to a dedicated cloud platform, allowing users to monitor battery status remotely via their smartphones. Furthermore, the system is equipped with an automated early warning feature via a Telegram bot, which instantly sends notifications when battery parameters fall outside safe limits, such as temperatures exceeding 35°C or voltage deviating from the optimal 42–57.6 V range.The methodology applied in this study is Research and Development (R&D) using the comprehensive ADDIE development framework. Based on a series of rigorous tests, the system demonstrated high levels of accuracy, with temperature reading success at 98.15% and voltage accuracy at 99.78%. Functional testing through the black-box method also proved that warning notifications were successfully delivered to the user's device with a perfect success rate. The implementation of this tool is expected to significantly assist users in performing preventive maintenance, thereby extending the battery's operational lifespan and overall energy 
Simulasi Distribusi Tegangan dan Deformasi pada Sasis Truk Light Duty dengan Variasi Panjang Rangka Sisi Menggunakan Metode Elemen Hingga Ethys Pranoto; Gunawan Gunawan; Rifano Rifano; Ery Muthoriq; Siti Shofiah
Jurnal Teknik Terapan Vol. 5 No. 1 (2026): April
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jteta.v5i1.121

Abstract

: In the field of freight transportation, changes to vehicle structures, particularly in the chassis length dimension, are commonly carried out to increase load-carrying capacity. One form of such change involves extending the frame length and adjusting the wheelbase in commercial vehicles with a 1.2 axle configuration. Although this approach can increase the volume of cargo that can be transported, alterations in structural dimensions have the potential to affect the load distribution contour on the vehicle frame. An uneven load distribution may lead to increased stress in certain areas, greater deformation, and a reduction in the structural safety level, which can ultimately affect the reliability and operational safety of the vehicle. This study aims to examine the effect of chassis length variations on the characteristics of the load distribution contour in freight transport vehicles with a 1.2 axle configuration. The analysis focuses on evaluating changes in stress, deformation, and the safety factor of the frame structure resulting from variations in chassis length and wheelbase adjustments. The approach used is a numerical simulation based on the Finite Element Method, utilizing software to model and evaluate the structural response of the chassis frame under loading conditions. The simulation results show that an extension of the chassis length, accompanied by changes in wheelbase position, leads to higher displacement and stress distribution in the chassis frame. The extension of the chassis side frame structure leads to an increase in stress values, which even exceed the material’s yield strength, with a maximum value reaching approximately 3709 MPa. In addition, the displacement reaches up to 81 mm, indicating increased frame deflection. Therefore, any changes in chassis dimensions must be designed by carefully considering load distribution and overall structural strength in order to maintain the reliability and safety of freight vehicles.
Ergonomic Risk Analysis of Working Postures of Motor Vehicle Inspectors During Emissions Testing Using the NBM, REBA, and RULA Methods Arifia Dwi Gusmaylia; Helmi Wibowo; Sugianto Sugianto; Rifano Rifano; Riza Phahlevi
Jurnal Penelitian Vol. 11 No. 2 (2026): Jurnal Penelitian Agustus 2026
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v11i2.2620

Abstract

Motor vehicle inspection plays an essential role in ensuring that vehicles comply with roadworthiness requirements and transportation safety standards. One stage of inspection with potential ergonomic risks is emissions testing, because motor vehicle inspectors must insert a probe into the vehicle exhaust pipe, operate a smoke tester or gas analyzer, and observe the test results while adopting various working postures. These activities are often performed in bent or squatting positions and involve repeatedly maintaining static postures, which may lead to musculoskeletal disorders (MSDs). This descriptive quantitative study analyzed the working postures of 30 motor vehicle inspectors during emissions testing using the Nordic Body Map (NBM), Rapid Entire Body Assessment (REBA), and Rapid Upper Limb Assessment (RULA), supported by posture simulation with Siemens Jack 8.4 software. NBM was used to identify musculoskeletal complaints based on respondents' perceptions, whereas REBA and RULA objectively evaluated whole-body and upper-body postural risk. NBM classified 53.3% of inspectors as low risk and 46.7% as moderate risk, with complaints most frequently involving the neck, shoulders, back, lower back, and knees. REBA classified 30.0% of postures as low risk, 36.7% as moderate risk, and 33.3% as high risk. RULA classified 6.7% as low risk, 26.7% as moderate risk, 13.3% as high risk, and 53.3% as very high risk. The principal contributing factors were low exhaust-pipe height, trunk flexion during probe insertion, prolonged static postures, and repetitive movement. The contrast between subjective complaints and observational scores suggests that hazardous postures may be present before severe symptoms are consistently perceived. Ergonomic improvements are therefore required, including assistive devices, work rotation, feasible adjustment of working height, and training in appropriate postures to reduce MSD risk and improve occupational safety and health
Co-Authors Arifia Dwi Gusmaylia Ery Muthoriq Ethys Pranoto Gunawan Gunawan Helmi Wibowo Muhammad Tatag Titis Prabowo Nanang Oktawidiandaru Riza Phahlevi Siti Shofiah Sugianto Sugianto