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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Rekayasa Mesin Sinergi REKAYASA e-Jurnal Arus Elektro Indonesia JURNAL NASIONAL TEKNIK ELEKTRO UNEJ e-Proceeding Faktor Exacta Jurnal Telematika Jurnal Sistem Cerdas JE-Unisla Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vivabio : Jurnal Pengabdian Multidisiplin Malcom: Indonesian Journal of Machine Learning and Computer Science International Journal of Innovation in Mechanical Engineering and Advanced Materials Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Satryo Budi Utomo
Electrical Departement, Faculty Of Engineering, Jember University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Transportation

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Analisis Perbandingan Pengukuran Konsumsi Daya Motor BLDC 350W Melalui Pengukuran Dynamometer dan Pengujian On-road Utomo, Satryo Budi; Hardianto, Triwahju; Arifin, Achmad Zainul
Jurnal Arus Elektro Indonesia Vol. 11 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i2.51570

Abstract

Testing the overall performance of electric vehicles requires extensive on-road testing with varied conditions. Considering the amount of time and effort required for on-road testing, using a dynamometer as a testing tool can be an alternative. In this research, a dynamometer is modeled so that the load used is equivalent to the load on the urban car of the University of Jember. The purpose of this study is to analyze and validate the dynamometer in accordance with actual road testing conditions. The research was conducted by comparing power consumption measurements obtained from on-road testing with those obtained using a dynamometer. In each test, variations in PWM usage strategies were also applied to determine which PWM variations result in the most efficient power consumption. The study shows that the difference in power measurement results between the on-road testing method and the dynamometer method has a maximum difference of 7.58%. The resulting discrepancy is relatively small, leading to the conclusion that testing with the dynamometer method can represent direct testing. Another result obtained is that the variation of using constant PWM achieves the most efficient energy consumption.
DEVELOPMENT OF A PORTABLE MOTOR VEHICLE EMISSION TEST SYSTEM BASED ON ARDUINO WITH ANDROID INTERFACE Indah, Nur; Pangestu, Dimas Aji; Utomo, Satryo Budi; Youlia, Rikko Putra
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 5, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i2.18832

Abstract

This study takes a comprehensive approach by proposing the design of an innovative emission test tool for motorized vehicles. The primary objective of this tool's design is to establish an alternative emission testing apparatus based on Arduino AT-Mega 2560, proficient in capturing vehicle exhaust emissions. The underlying methodology involves an in-depth investigation of various components, including the MQ2 and MQ7 sensors, microcontrollers, and supplementary sensors. This meticulous observational process aims to unravel the fundamental principles that govern the functionality of these components. Subsequently, the study advances to the prototyping phase, manifesting in the creation of an Android-based emission test system. This system capitalizes on the integration of Arduino programming and App Inventor technology. The integrated system is devised to facilitate sensor data acquisition. The empirical results of the tests indicate that the developed tool effectively measures hydrocarbon gas and carbon monoxide gas concentrations, yielding readings of 6.31% and 3.73%, respectively, under engine conditions ranging from 1500 to 3000 rpm with error in regions 1.4% and 5.1% compared to a commercial instrument. However, during the testing phase, certain challenges surfaced. Notably, the presence of water particles within the tool, coupled with the generation of heat due to the accommodated exhaust gases, increased the temperature within the tool's enclosure. Consequently, the sensors' temperature escalated, resulting in erratic sensor behavior and unstable readings. Nonetheless, a significant advantage of the proposed tool lies in its real-time data visualization capability, which is particularly accessible through Android smartphones. This feature enhances the immediacy of test results, facilitating prompt analysis and decision-making. In conclusion, this study lays the groundwork for an innovative emission testing tool that demonstrates promise in addressing the air quality degradation stemming from vehicular emissions.
Implementasi Fuzzy Inference System untuk Pengstabilan Arus pada Baterai Lithium di Electric Vehicle Imron, Arizal Mujibtamala Nanda; Utomo, Satryo Budi; Darmawan, Dimas Aldy; Kaloko, Bambang Sri; Fitri, Zilvanhisna Emka
Faktor Exacta Vol 18, No 3 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i3.26372

Abstract

The application of renewable energy in electric vehicles (EVs) is a crucial aspect that requires careful consideration. It is essential to understand the capacity characteristics of lithium polymer batteries to develop effective testing procedures. These procedures should involve monitoring the battery's voltage, current, and temperature during the discharge process with a lamp loading of 5 watts. The results of research prove that fuzzy control is an effective method for minimising the increase in battery temperature by stabilising the current used by the battery. The fuzzy control system effectively regulated a battery with a capacity of 3300 mAh and a voltage of 11.1 Volts, maintaining a stable current of 0.3 A from the 3rd minute until the battery reached its maximum capacity at the 63rd minute. Furthermore, the implementation of fuzzy control has been observed to delay the temperature rise in the battery. Specifically, the use of fuzzy control enables a delay in the temperature rise time by approximately 14 minutes when compared to the system without control. The temperature rise has a significant impact on the discharge speed of lithium polymer batteries.
A Multivariate LSTM Approach for Monthly Rice Production Forecasting in East Java Firdausi, Hasanur Mohammad; Utomo, Satryo Budi; Rahardi, Gamma Aditya; Prasetiyo, Dani Hari Tunggal
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025): In progress (December)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.595

Abstract

Accurate forecasting of rice output is essential for improving regional food security planning, particularly in East Java Province, which serves as a major national rice granary. This study develops a Long Short-Term Memory (LSTM) model to predict rice production using monthly data on production and harvested area from 2018 to 2024. The methodology includes data preprocessing, normalization, sequence construction with a sliding window, training of a multivariate LSTM model, and performance evaluation using mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE). Results show that the LSTM model achieves superior predictive accuracy, with an MAE of 95,030.16, RMSE of 120,229.01, and MAPE of 16.64%, significantly outperforming baseline Moving Average and Linear Regression models. While the model effectively captures seasonal production trends, some inaccuracies remain during periods of anomalous production values. These findings suggest that the LSTM model is effective for projecting rice production and may provide a foundation for early warning systems and regional food distribution strategies. Further improvements could be realized by integrating climate variables or adopting a hybrid model architecture to enhance predictive precision.
Co-Authors Agung, Moh. Ahmad Zainul Arifin Ali Rizal Chaidir Arizal Mujibtamala Nanda Imron Badrul Munir Bambang Sri Kaloko Bambang Supeno Catur Suko Sarwono Dani Hari Tunggal Prasetiyo Darmawan, Dimas Aldy Dedy Wahyu Herdianto Dedy Wahyu Herdianto, Dedy Wahyu Dewi Nurhaji Meivita Dodi Setiabudi Fitri, Zilvanhisna Emka GAMMA ADITYA RAHARDI Gusfan Halik Habibah, Dinda Janis Hasanur Mohammad Firdausi Hidayatullah, Angga Syarif Ike Fibriani Immawan Wicaksono Januar Fery Irawan Kaloko, Bambang Sri Kautsar, Syamsiar Kurniawan Hidayat Mochamad Irwan Nari Mohamad Agung Prawira Negara Muhammad Agam Syaifur Rizal Mustain, Zainul Mutiara Mayangsari Putri Aditya Naufal Nasrullah Nur Indah, Nur Pangestu, Dimas Aji Samsul Bachri M. Sumardi . Sumardi Sumardi Syamsiar Kautsar Syamsul Arifin Syayyidatun Nur Dina Triwahju Hardianto vicky Ainur Ridho vicky Ainur Ridho, vicky Ainur Wahyu Muldayani Widjonar ko Widjonarko Widjonarko . Widya Cahyadi Yohanes Andri Pranata Yohanes Andri Pranata, Yohanes Andri Youlia, Rikko Putra Zainul Mustain