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Analisis Perancangan Suspensi Belakang pada Kendaraan Listrik Berbasis Standar ISO 2631-1 Setyawan, Renaldi Teguh; Gunawan, Gunawan; Umira, Siti
Jurnal Mekanik Terapan Vol 6 No 2 (2025): Agustus 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jmt.v6i2.7533

Abstract

Perkembangan kendaraan listrik menuntut sistem suspensi yang tidak hanya stabil, tetapi juga nyaman, terutama pada konfigurasi motor penggerak belakang yang menyebabkan distribusi massa menjadi asimetris. Penelitian ini menganalisis karakteristik suspensi belakang kendaraan listrik empat roda menggunakan model massa–pegas–redaman satu derajat kebebasan (1-DOF), dengan evaluasi berdasarkan standar kenyamanan ISO 2631-1. Objek studi berupa kendaraan listrik ringan dengan distribusi massa belakang dominan, menghasilkan beban kerja suspensi belakang sebesar 1.052,5 kg. Hasil perhitungan menunjukkan gaya statis per pegas sebesar 5.162,5 N dan kekakuan pegas 51.625 N/m, menghasilkan frekuensi natural 1,11 Hz yang berada dalam rentang kenyamanan optimal. Dengan damping ratio 0,25, diperoleh koefisien redaman 3,685 Ns/m dan waktu redaman sekitar 2,3 detik. Simulasi osilasi menunjukkan bahwa nilai ini memberikan keseimbangan terbaik antara kenyamanan dan stabilitas, dibandingkan rasio 0,10 dan 0,40. Temuan ini menunjukkan bahwa desain suspensi belakang yang diusulkan layak diterapkan pada kendaraan listrik dengan distribusi massa tidak merata dan mampu memenuhi standar kenyamanan internasional.
Pengaruh Kinerja Baterai Mobil Listrik LAKSAMANA V2 Terhadap Variasi Kecepatan Dan Beban Kendaraan Menggunakan Simulink Kafaj, M. Al; Setyawan, Reinaldi Teguh; Umira, Siti
Jurnal Teknik Terapan Vol. 4 No. 2 (2025): Oktober
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Battery performance is a crucial factor in determining the efficiency and driving range of electric vehicles. This study aims to analyze the effect of battery performance on variations in vehicle speed and load using MATLAB/Simulink simulation modeling. The developed simulation model reflects the real operational conditions of the Laksamana V.2 electric vehicle, with key parameters including a 48V battery voltage, 2 kW motor, and varying vehicle loads. Simulations were carried out at different speeds ranging from 20 km/h to 60 km/h under two conditions: unloaded and fully loaded. The results show that power consumption increases with higher speed and load. The simulation also reveals that the total battery energy gradually decreases over time due to fluctuating current consumption. Motor torque is higher at lower speeds and tends to decrease at higher speeds. The system’s maximum efficiency reaches 83.8% at 55 km/h under no-load conditions. These findings indicate that speed and load variations significantly affect battery performance and energy efficiency, and that Simulink modeling is effective in visualizing and evaluating the behavior of electric vehicle systems comprehensively.
Distributed temperature sensing and fault-tolerant logging for PVC-based smoke condensers using dual-channel type-K sensors Setyawan, Reinaldi Teguh; Umira, Siti; Kurniawan, Irwan; Gunawan, Gunawan; Muthoriq, Ery
Jurnal Polimesin Vol 23, No 4 (2025): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i4.7386

Abstract

The condensation process of smoke in charcoal-burning systems generates high temperatures that pose a critical thermal risk to PVC piping, which has a melting point of 85 °C. This study presents the design and implementation of a distributed temperature sensing system using dual-channel Type-K thermocouples controlled by an Arduino Uno microcontroller. The system is equipped with fault-tolerant logging and real-time monitoring features, utilizing the MAX6675 thermocouple amplifier module for digital signal acquisition. Two sensors are strategically placed along the smoke conduit to capture temperature differentials between primary and secondary zones. Experimental testing was conducted over six consecutive days with data acquisition sessions at noon and midnight. The highest recorded temperature from the primary sensor reached 83.75 °C, while the secondary sensor recorded significantly lower values, indicating a thermal gradient of 23.8 °C between inlet and outlet. Comparative calibration using an umbrella-type analog thermometer revealed a minimal deviation of 0.41 °C, confirming the system’s accuracy. Two sets of error profiling showed variations in measurement consistency, with average error rates of 13.79% and 5.93% across a 30 °C–80 °C reference range. Voltage stability was maintained throughout all test scenarios, with a constant 5 V input and 4.4 V output. The system successfully demonstrated its ability to perform dual-point thermal detection with resilient performance under fluctuating combustion conditions. This sensor-integrated platform is well-suited for thermal protection and early intervention in biomass-based liquid smoke condensation systems, particularly in small-scale applications using low-melting-point materials such as PVC.