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SISTEM MONITORING PARAMETER BATERAI SEPEDA MOTOR LISTRIK BERBASIS IOT Rifano Rifano; Muhammad Tatag Titis Prabowo; 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 
Multi-objective tribological and energy optimization of an automatic valve lapping machine using a hybrid RSM NSGA-II approach Reinaldi Teguh Setyawan; Ery Muthoriq; Syahrizal Syahrizal
Jurnal Polimesin Vol 24, No 1 (2026): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i1.8454

Abstract

Optimizing valve seat reconditioning requires balancing sealing performance, surface integrity, energy consumption, and component wear within practical workshop constraints. This study presents the design, development, and multi-objective optimisation of a low-cost automatic valve lapping system using a hybrid Response Surface Methodology (RSM) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) framework. A prototype automatic valve lapping rig was developed by integrating a DC-motor-driven spindle with adjustable spring loading and an Arduino-based control and data-acquisition system, enabling controlled variation of spindle speed (300–600 rpm) and axial load (60–140 N). Leakage time, surface roughness (Ra), electrical energy consumption, and valve wear volume were measured using a three-level factorial design. Quadratic response surface models with satisfactory statistical adequacy were established for all responses. The RSM models were employed in NSGA-II to maximise leakage time and minimise surface roughness, energy consumption, and wear, subject to practical operational constraints. The optimisation results reveal clear trade-offs between sealing quality, energy efficiency, and component life, and identify an optimal operating window of approximately 430–470 rpm and 90–110 N, providing a robust compromise solution and a practical operating map for workshop valve seat reconditioning.
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.