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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Abdimas Semesta Teknika Proceeding of the Electrical Engineering Computer Science and Informatics Ornamen Jurnal Pengkajian dan Penciptaan Seni Kriya Mekanika: Majalah Ilmiah Mekanika Journal of Applied Engineering and Technological Science (JAETS) Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) International Journal of Social Learning (IJSL) Mechanical Engineering for Society and Industry Automotive Experiences Semar : Jurnal Sosial dan Pengabdian Masyarakat SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa Jurnal kiprah pendidikan
Muhammad Nizam
Department Of Electrical Engineering Universitas Sebelas Maret
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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Robust SVM optimization using PSO and ACO for accurate lithium-ion battery health monitoring Mufti Reza Aulia Putra; Muhammad Nizam; Agus Mujianto; Feri Adriyanto; Henry Probo Santoso; Arif Nur Afandi; Indar Chaerah Gunadin
Mechanical Engineering for Society and Industry Vol 5 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12280

Abstract

The increasing demand for reliable lithium-ion battery in various applications is focused on the need for accurate State of Health (SOH) predictions to prevent performance degradation and potential safety risks. Therefore, this research aimed to improve the accuracy of SOH prediction by integrating Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) with Support Vector Machine (SVM) to overcome the overfitting problem in traditional machine learning models. The dataset used consisted of data from 1000 cycles of lithium-ion battery, collected under laboratory conditions. Data from lithium-ion battery cycles were analyzed using optimized PSO-SVM and ACO-SVM models. These models were evaluated using Mean Square Error (MSE) and Root Mean Square Error (RMSE) metrics, showing significant improvements in prediction accuracy and model generalization. The results showed that although both optimized models were superior to the baseline SVM, PSO-SVM had higher generalization performance during testing. The higher performance was due to the effective balance between exploring the search space and exploiting optimal solutions, making it more suitable for real-world applications. In comparison, ACO-SVM showed superior performance in training data accuracy but was more prone to overfitting, suggesting the potential for scenarios prioritizing high training accuracy. These results could be applied to extend the lifespan of lithium-ion battery, contributing to enhanced reliability and cost-effectiveness in applications.
Hybrid Catenary-Battery Trains for Non-Electrified Sections and Emergency Use Muhammad Nizam; Hari Maghfiroh; Mufti Reza Aulia Putra; Anif Jamaluddin; Inayati Inayati
Automotive Experiences Vol. 8 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13440

Abstract

The hybrid catenary”“battery system offers a promising solution for railways operating in non-electrified sections and during emergencies, ensuring uninterrupted operation, enhanced safety, environmental sustainability, and cost efficiency. This study addresses the challenge of determining an appropriate battery size and introduces a novel rule-based Energy Management Strategy (EMS) with coasting mode to minimize energy consumption while meeting operational requirements. The novelty of this work lies in (i) a straightforward sizing method based on worst-case emergency scenarios and (ii) the integration of coasting-mode operation into a rule-based EMS for hybrid catenary”“battery trains. Simulation results show that the proposed approach achieves up to 12.56% energy savings on 3% gradient tracks while fully supplying auxiliary loads, compared with baseline operation that provides only partial coverage. These results demonstrate a practical and scalable framework for designing efficient, reliable, and resilient railway transport systems.
The Effect of Battery Manufacturing Under Different Conditions and Its Contribution to CO Emissions Mufti Reza Aulia Putra; Muhammad Nizam; Bagas Setiawan; Henry Probo Santoso
Mekanika: Majalah Ilmiah Mekanika Vol 24, No 1 (2025): MEKANIKA : Majalah Ilmiah Mekanika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/mekanika.v24i1.99093

Abstract

Lithium-ion (Li-ion) batteries play a crucial role as energy sources for electric vehicles and portable electronic devices due to their high energy density. However, this high energy density leads to increased temperatures during operation, which negatively impacts the performance of nickel strips as the primary electrical connectors within the battery. Suboptimal welding of nickel strips results in safety issues, evidenced by gas leaks from the battery. This research aims to explore the impact of welding defects on battery performance, considering the role of gas sensors in enhancing safety. The test samples used are nickel strips with a thickness of 0.1 mm and a width of 5 mm, evaluated using varying currents of 10A, 20A, 40A, and 50A at room temperature. Observations were made regarding nickel degradation, followed by an analysis of carbon monoxide (CO) and carbon dioxide (CO₂) emissions. The results indicate a temperature increase of up to 78,8°C at the nickel tip, along with the identification of three welding points representing efficient values. Furthermore, the welding results on the battery produced microstructural defects that led to an increase in CO emissions by 18 ppm and CO₂ emissions by 500 ppm during the 1C charging process until reaching 100%.
REGENERATIVE BRAKING MONITORING SYSTEM OF ELECTRIC VEHICLE Jusuf Abimas Pratama; Miftahul Anwar; Sifaus Wulaning Arsri; Ferdiansyah Ashil Farisi; Muhammad Nizam
Journal of Electrical, Electronic, Information, and Communication Technology Vol 1, No 1 (2019): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.v1i1.34474

Abstract

Electric vehicles is in rapid development. The energy commonly used as a driving force for electric vehicles comes from batteries. The development of electric vehicle technology is currently concentrated on efforts to charge the battery used by utilizing the power wasted when braking electrically. The gearbox and final drive are installed as a mechanical transmission system for electric vehicles to increase the torque of the BLDC motor as the main driving force of the vehicle. The regenerative process occurs when the Kelly-KBL motor controller electric braking feature is activated. For this reason, Arduino Mega and LabVIEW software are used to observe the current and voltage of lead acid batteries with voltage 48 V and capacity 225 Ah (C20). In addition, a 2 kW BLDC motor RPM was also observed in the electric braking monitoring system. From the results of monitoring and data collection, the vehicle traveled a distance of 36.06 m in 68 s time intervals with an average speed of 16.8 m / s. The average torque value when electric braking on a BLDC motor supplies 154 Nm, while the average torque of the vehicle is 996.99 Nm. The average regenerative power of the wheels is 17.07 kW, while the average mechanical power of the wheels is 13.67 kW. Coulometric state of charge (SOC) shows an increase in battery capacity of 4.27% and 99.97% voltage SOC at the beginning of the activation of the electric brake pedal. Maximum battery power movement when charging, 2.25 kW is caused by the activation of the electric brake pedal. Whereas when using a maximum of 1.52 kW. The application of electric braking has a power consumption efficiency of 0.042%. and charging power charging 18.97%.
Performance Analysis and Characterization Hybrid Two Wheeller Vehicle with Using a Chassis Dynamometer Julian Fikri Arifwardana; Dominicus Danardono Dwi Prija Tjahjana; Muhammad Nizam; Ihsan Pratama Rushadiawan; Mufti Reza Aulia Putra
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.2.92487

Abstract

The extraordinary growth in means of transportation, especially vehicles with internal combustion engines, has made state laws and regulations increasingly stringent. Regulations regarding energy consumption used for passenger and personal mobility and the emissions produced in order to reduce pollution. A hybrid vehicle combines two energies produced from various sources such as an ICE and an electric motor to become a hybrid electric vehicle (HEV). This research discusses hybrid electric vehicles on 2-wheeled vehicles which can be used as a solution that can be developed further before pure electric vehicles (EV) replace motorized vehicles (ICE). This research was done experimentally, by carrying out tests on a dynamometer and on the road testing. The main material used in this research was a Honda PCX 150 vehicle. The results of the test on the dynamometer showed that the performance of the internal combustion engine (ICE) had a torque of 11.12 Nm and a power of 8.20 kW at 7000 rpm. Testing the electric motor (EV), obtained torque results of 11.7 Nm and 2.33 kW power. The road test results for internal combustion engine consumption to consume 1 liter of fuel, capable of covering a distance of 54.55 km. Electricity consumption from 100% to 0% SOC can cover a distance of 46.31 km. Hybrid consumption 1 liter of fuel and battery full 100% capable of covering a distance 57.79 km, with battery condition reduced 16%.
Design of Microhydro Power Plants Based on Load Flow and Short Circuit Study Using ETAP: A Case Study in East Java, Indonesia Chico Hermanu Brillianto Apribowo; Muhammad Nizam; Agus Ramelan; Hari Maghfiroh; Aulia Vici Yunitasari
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.2.67505

Abstract

This study was conducted to determine the feasibility level of the microhydro power plant development plan in Ngentep Village for the Off Grid On Grid system system and Sarangan Lake, Magetan Regency, East Java. The methodology used includes field survey activities, hydrological analysis, power and energy calculations, mechanical and electrical equipment planning, and technical analysis. In this system there are 4 study cases, including the Off Grid system in Ngntep, the Off Grid system with Hybrid in Ngentep, the On Grid system in Sarangan Lake and the on grid system with hybrid in Sarangan Lake. The results showed that the water discharge was able to generate minimal power in Sarangan Lake and Ngentep, 1.59kW and 1.18kW respectively. Power value for the On Grid system with a value of 1,598 kW. While the power value for Off Grid is 0.072 kW. And has a power factor of up to 99.7% but this is very helpful for the community, especially those in remote rural areas and suppliers in tourist areas. As for the current value in the On Grid system is 2.126 kA and for the Off Grid system it is 1.0209 kA. 
Experimental Study of Lithium-ion Battery Performance Based on Mini-channel Cooling Plate Ihsan Pratama Rushadiawan; Dominicus Danardono Dwi Prija Tjahjana; Muhammad Nizam; Julian Fikri Arifwardana; Mufti Reza Aulia Putra
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.2.92488

Abstract

Making efficient batteries is important nowadays. One potential problem that can hinder this is the thermal runaway that occurs in battery cells. There are various causes of thermal runaway, one of the most common is an increase in temperature that exceeds the optimal allowable limit. Additional cooling will be required in vehicles that use batteries. Battery Thermal Management System (BTMS) with mini-channel cooling plate is one of the methods often used to maintain battery performance. In this study, the performance of Lithium-ion batteries is affected by fluid flow velocity. The experimental process was carried out by charging and discharging with a C-rate of 1C. Cooling is done with ethylene glycol fluid with fluid velocity variations of 0.21 L/min; 0.42 L/min and 0.63 L/min. The results show that fluid flow velocity affects the final battery temperature and battery performance. The optimal fluid velocity is shown at 4.2 L/min. At this speed it can reduce the battery temperature by 6.7°C.
Design and Build Automatic Transfer Switch (ATS) Based Internet of Things on Microgrid System Andhika Rizkita Putera; Muhammad Nizam; Feri Adriyanto
Journal of Electrical, Electronic, Information, and Communication Technology Vol 4, No 2 (2022): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.4.2.64700

Abstract

Electrical energy is a primary human requirement for continuously operating electronic devices. However, nonrenewable electrical energy is becoming increasingly scarce. As a backup power source, regenerative energy sources are an option. Because the conventional power grid transfer system takes a relatively long time, the application of a control system on the power grid transfer automatically can maximize efficiency, safety, and accuracy. In this study, an ATS system was developed using the electrical grid switching method for 300ms, 600ms, and 1000ms, as well as IoT to optimize the ATS manual override system with monitor voltage, current, and power. The test results show that the switching accuracy of 300ms is 98.40% and 98.18% with an average voltage of 19.65V and 41.22V when switching, 600ms switching is 98.14% and 99.25% with an average voltage of 17.77V and 18.18V when switching, and 1000ms switching is 99.40% and 99.41% with an average voltage of 17.52V and 21.05V, respectively. The voltage overshoot is obtained for 16ms and 40ms in linear loading and is stable within 2ms. There is harmonic distortion when loading non-linear for 9 cycles and 2 cycles of periodic frequency. The hardware data transmission accuracy is 97.94%, and the success rate of manual override is 100%.
Development of Solar Power Plant to Support Smart Farming 4.0 at Hubbul Khoir Islamic Boarding School Indonesia Sutrisno W. Ibrahim; Muhammad Nizam; Agus Ramelan; Adriel Satrio Nugroho; Salsabila Putri
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.5.2.77435

Abstract

Electricity is a very crucial thing in human life today such as for communications, education, offices, household appliances, and transportation. Unfortunately, most of the electricity in Indonesia is still generated by fossil fuels such as coal. Indonesia which is on the equator has an advantage in solar power generation. Every area in Indonesia gets sunlight for a full year. In this paper, we develop a 1.62 kWp solar power plant at the Hubbul Khoir Islamic Boarding School Indonesia. Energy generated from solar panels is used to support the hydroponic farming system owned by the Islamic boarding school. Economic analysis is used to find out whether the installed generating system is profitable or not. Power quality analysis is used to determine whether the load can be supplied with good power quality. The results obtained by the monitoring system can monitor the PV output power and the power to the load with a display on the LCD screen and on the web with overall accuracy above 96%, economic analysis results show that the system will return on investment after 6.8 years with a profit in the 25th year of Rp20,871,282, and quality the power in this system has good power quality from the PLN side and the inverter side.
DESIGN AND DEVELOPMENT OF FAST CHARGING BATTERY USING FUZZY LOGIC CONTROL TECHNIQUE Muhammad Nizam; Naji Abdalaziz Ali
Journal of Electrical, Electronic, Information, and Communication Technology Vol 1, No 1 (2019): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.v1i1.34770

Abstract

Battery charging is an important issue when it is associated with battery life and cycle performance. The aim of this research is to design and promote fast battery chargers using fuzzy logic control techniques (FLC) for LiFePO4 batteries have been developed. The proposed charger is controlled by voltage and current to activate the PWM duty. The results show that the proposed battery charger has the potential to accelerate charging up to 37% at the rate when charging 2C. This means it is faster than the existing filling. The charger proposed by the FLC method is also capable of charging LiFePO4 batteries with greater efficiency, which is 82%. It can be concluded that the FLC application method has better performance than the CC-CV method
Co-Authors ., Inayati Adriel Satrio Nugroho Agus Mujianto AGUS PURWANTO Agus Ramelan Agus Ramelan Ahmad E. Esmaio Ajat Sudrajat Alfian Ma’arif Almuhtadi Billah, Louay Andhika Rizkita Putera Anif Jamaluddin Anwar, Miftahul Anwar, Miftahul Arif Nur Afandi Arif Wibowo Asia Boy, Nur Atia, Hasan M.S. Aulia Vici Yunitasari Azis Ubaidilah B.B Louhenapessy Bagas Setiawan Baiek, Mohamed Milad Berlian Shanaza Andiany Bhre Wangsa Lenggana Brilianto Apribowo, Chico Hermanu Budhy Rahmawatie Chico Hermanu B.A. Danardono Dwi Prija Tjahjana, Dominicus Didik Djoko Susilo dompak, timbul Elfany, Yuna Esmaio, Ahmad E. Evizal Abdul Kadir Fakhrina Fahma Ferdiansyah Ashil Farisi Feri Adriyanto Hari Maghfiroh Hasan M.S. Atia Henry Probo Santoso Henry Probo Santoso Herry Widyastono, Herry Hery Tri Waloyo Ihsan Pratama Rushadiawan Inayati . Inayati Inayati Inayati Inayati Inayati Inayati Indar Chaerah Gunadin Jasmidi Jasmidi Joko Slamet Saputro Julian Fikri Arifwardana Jusuf Abimas Pratama Juwitaningsih, Tita Magfiroh, Hari Mayang Sari Meiyanto Eko Sulistyo Miftahul Anwar Mohamed Milad Baiek Mohd Noh Dalimin Mohd Zainizan Sahdan Mufti Reza Aulia Putra Mufti Reza Aulia Putra Muhammad Akhyar Naji Abdalaziz Ali Putra, Mufti Reza Aulia Rabiah Afifah Daulay Rachmi, Naila Syabina Ramelan, Agus Ratna Sari Dewi Rini Anggrainingsih Rino Herwangga Ritonga, Dina Arfah Romal Hadi Setyawan Salsabila Putri Sengaji, Asmawati R. Sifaus Wulaning Arsri Sinaga, Anggian Nurjelita Siregar, Muhammad Isa Sri Sumarni Supriyanto Praptodiyono Supriyanto Praptodiyono Sutrisno W. Ibrahim Ubaidillah Wahyudi Sutopo Warindi D Widya, Risa Dwy Yusfiani, Marnida Zainal Arifin