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Analisis Kinerja Sistem Kontrol Hybrid Electric Vehicle (HEV) Menggunakan Metode Neuro-fuzzy Rahma Annisa, Aulia; Andika, Yudi; Muhammad Irsyad, Sholahuddin; Sasmita Aji Pambudi, Dwi
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/f5y40s25

Abstract

Electric cars are an environmentally friendly vehicle alternative developed to reduce exhaust gas emissions and air pollution. One example is the Hybrid Electric Vehicle (HEV), which combines an Internal Combustion Engine (ICE) and an electric motor (DC motor) to improve efficiency and torque performance. HEVs generally have a smaller capacity compared to conventional vehicles, making them more fuel-efficient and energy-efficient. The system in an HEV is complex and nonlinear, requiring dynamic model approaches and appropriate control methods to maintain optimal performance. This research aims to analyze the performance of the inverse model neuro-fuzzy control system predictor implemented on an HEV. The test results show that applying a neuro-fuzzy controller can significantly improve the system's ability to achieve a response that matches the reference model. The performance of the DC motor is able to help reduce the speed error difference by up to 50 rpm with a Root Mean Square Error (RMSE) value of 0.582%. Additionally, there is a 1.411% decrease in error value compared to when the ICE is operating without using a neuro-fuzzy controller. Based on these results, the neuro-fuzzy method has proven effective in improving the accuracy and stability of the control system in HEVs.
Pelatihan Dasar Robotika Berbasis STEM bagi Siswa Sekolah Dasar Al-Islah Surabaya Andika, Yudi; Ardiana, Mirza; Rahma Annisa, Aulia; Sasmita Aji Pambudi, Dwi; Kurnia Mayangsari, Mustika; Muhammad Irsyad, Sholahuddin
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18201

Abstract

This community service program aims to enhance elementary school students’ understanding and basic skills in STEM-based robotics (Science, Technology, Engineering, and Mathematics) at SD Al-Islah Surabaya, thereby fostering adaptive, creative, and innovative character development in response to the challenges of globalization. The program implementation included the preparation of instructional modules, delivery of theoretical materials, basic programming activities, equipment demonstrations, hands-on practice, and evaluation using observation sheets to assess participant performance. The activity was conducted at SD Al-Islah Surabaya and involved 94 third- and fourth-grade students accompanied by their homeroom teachers. The results indicate that 50% of the students were able to operate the robots they assembled. In addition, students demonstrated high levels of enthusiasm throughout the activities, actively asked questions, and were able to independently attempt and operate simple robotic systems. Overall, the program effectively improved students’ problem-solving skills and critical thinking abilities, while also developing their foundational understanding of STEM concepts and robotics techniques. This initiative is expected to serve as an initial step toward integrating robotics education into the curriculum of the partner school.