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All Journal Jurnal Sistem dan Manajemen Industri Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Techne : Jurnal Ilmiah Elektroteknika Jurnal Teori dan Aplikasi Fisika Jurnal Atma Inovasia Advance Sustainable Science, Engineering and Technology (ASSET)
BUDI HARSONO
Universitas Kristen Krida Wacana
Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences Transportation Other

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Pengujian Sistem Konversi Energi Suara menjadi Energi Listrik menggunakan Piezoelektrik Eddy Wijanto; Budi Harsono; Rendy Renandy; Ade Septian; Kevin Sutanto
Techné : Jurnal Ilmiah Elektroteknika Vol. 17 No. 01 (2018)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.021 KB) | DOI: 10.31358/techne.v17i01.172

Abstract

Beberapa penelitian terkait energi terbarukan, seperti energi air, angin, dan bahkan nuklir telah dilakukan. Namun, suara sebagai energi mekanik, ternyata juga memiliki potensi untuk menjadi salah satu alternatif energi. Sebagai konsekuensi dari Hukum Kekekalan Energi, energi suara dapat diubah menjadi energi listrik. Dalam penelitian ini dilakukan pengujian sistem konversi energi suara menjadi energi listrik, dengan memanfaatkan komponen piezoelektrik. Berdasarkan data baseline dari beberapa area jalan dan pabrik, dilakukan pengukuran dengan menggunakan signal generator sebagai sumber suara dan piezoelectric sebagai transducer yang mengkonversi energi suara menjadi energi listrik. Nilai frekuensi yang dihasilkan berada pada kisaran tertentu, dan nilai tertinggi berkisar diantara 760-780 Hz. Semakin dekat sumber suara, resonansi semakin sering terjadi dan tegangan yang dihasilkan Piezoelectric Transducer semakin besar.
Fatigue analysis and design of a motorcycle online driver measurement tool using real-time sensors Iwan Aang Soenandi; Lamto Widodo; Budi Harsono; Isnia Oktavera; Vera Lusiana
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.7500

Abstract

Work fatigue is an important aspect and is very influential in determining the level of accidents, especially motorbike accidents. According to WHO, almost 30% of all deaths due to road accidents involve two- and three-wheel­ed motorized vehicles, such as motorbikes, mopeds, scooters and electric bicycles (e-bikes), and the number continues to increase. Motor­cycles dominate road deaths in many low- and middle-income countries, where nine out of ten traffic accident deaths occur among motorcyclists, as in Indonesia. However, until now, in Indonesia, there has been no monitor­ing system capable of identifying fatigue in motorbike drivers in the transportation sector. This research aims to determine fatigue patterns based on driver working hours and create a sensor system to monitor fatigue measurements in real-time to reduce the number of accidents. The research began with processing questionnaire data with Pearson correlation, which showed a close relationship between driver fatigue and driving time and a close relationship between fatigue and increased heart rate and sweating levels. From calibration tests with an error of 3% and direct measurements of working conditions, it was found that two-wheeled vehicle driver fatigue occurs after 2-3 hours of work. With a measurement system using the Box Whiskers analysis method, respondents' working conditions can also be de­ter­mined, which are divided into 4 zones, namely zone 1 (initial condition or good condition), zone 2 a declining condition, zone 3 a tired condition and zone 4 is a resting condition. Hopefully, this research will identify fati­gue zones correctly and reduce the number of accidents because it can iden­tify tired drivers so they do not have to force themselves to continue working and driving their motorbikes. As a conclusion from this research, a measure­ment system using two sensors, such as ECG and GSR can identify work fatigue zones well and is expected to reduce the number of accidents due to work fatigue.
Low-Cost Wearable Device for Sleepiness Detection Based on Heart Rate Monitoring Marvin Yonathan Hadiyanto; Ananda Keshava; Budi Harsono; Shoaib Aslam
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.992

Abstract

Driver sleepiness is one of the most contributing factors in car accidents. Preventions to this problem have been made with various types of driver’s sleepiness detection system, such as systems based on face detection and electrocardiography approaches. However, these approaches require sophisticated systems and impractical design that are not suitable for the low- cost wearable device for daily use. Photoplethysmography based sensor is very favorable to be implemented in the low-cost wearable device to monitor the driver’s heart rate due to its reliability in measurement and simplicity in design. In this study we propose a photoplethysmography based wearable device that is low-cost, wearable, simple to build, and good reliability. We have shown that our wearable device exhibits less than 3.12 BPM in average absolute error heart rate with the standard instruments, moreover, our low-cost wearable device is successfully detecting sleepiness based on heart rate reduction of the subjects, which in sleepy condition the heart rate decreases typically ~30 % from the normal condition. Here, we design a sleepiness detection device with 3 levels of sleepiness alarm based on heart rate reduction that is very promising to be implemented as a wearable device in daily use for car drivers to prevent accidents due to sleepiness factor. In the future, this concept can be further improved as a smart driver monitoring system that can monitor physical conditions, mental conditions, and driver’s behavior particularly for the upcoming era of semi-autonomous and autonomous car.
Sintesis dan Karakterisasi Sifat Optik Material Feroelektrik Barium Zirkonium Titanat (BaZr0,5Ti0,5O3) dengan Variasi Suhu Kalsinasi Johansah Liman; Budi Harsono; Iwan Aang Soenandi
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.333

Abstract

Dalam penelitian ini, film tipis material feroelektrik Barium Zirkonium Titanat (BaZr0,5Ti0,5O3) disintesis dan pengaruh variasi suhu annealing terhadap sifat optiknya dipelajari. Film tipis BaZr0,5Ti0,5O3 ditumbuhkan di atas substrat Silikon (Si (100)) menggunakan metode Chemical Solution Deposition (CSD) dengan bantuan perangkat spin coater. Film tipis yang telah dibuat kemudian di-annealing pada tiga suhu berbeda (750 oC, 800 oC dan 850 oC). Karakterisasi sifat optik dari film tipis yang telah dibuat dilakukan menggunakan Spektrometer Ultraviolet-Visible (UV-Vis) Ocean Optics USB4000. Hasil karakterisasi menunjukkan bahwa film tipis BaZr0,5Ti0,5O3 yang dibuat memiliki nilai reflektansi yang tinggi pada panjang gelombang cahaya tampak dan nilai koefisien absorbansi yang tinggi pada panjang gelombang cahaya ultraviolet (UV). Nilai bandgap pada masing-masing film tipis BaZr0,5Ti0,5O3 dengan suhu annealing 750 oC, 800 oC dan 850 oC adalah 3,04 eV, 3,07 eV dan 3,22 eV. Semakin tinggi suhu annealing maka semakin tinggi nilai bandgap yang dihasilkan. Dari hasil yang diperoleh, terlihat bahwa film tipis BaZr0,5Ti0,5O3 yang dihasilkan memiliki sifat semikonduktor dan berpotensi digunakan sebagai sensor atau komponen elektronik yang bekerja memanfaatkan energi pada panjang gelombang cahaya ultraviolet.
Imitation Learning to Accelerate Training Process of Multi-Agent Reinforcement Learning in 2v2 Pong Game Marvin Yonathan Hadiyanto; Budi Harsono; Indra Karnadi; Ivan Tanra
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2564

Abstract

Training multi-agent reinforcement learning (MARL) systems often requires a significant amount of time due to sample inefficiency, particularly when agents must perform extensive exploration in complex environments and coordinate among multiple entities. This study proposes the use of imitation learning to accelerate the MARL training process in a 2v2 pong game by leveraging demonstrations from a 1v1 pong game to shape the initial policy without undergoing inefficient exploration procedures. We employ a deep Q-network (DQN) framework with centralized training and decentralized execution (CTDE) to compare the performance of pretrained and untrained agents in the 2v2 pong environment. Experimental results show that learning from demonstrations in the 1v1 setting improves reward accumulation and game scores of pretrained agents in the 2v2 pong game. The performance improvement peaks at 700 demonstration learning steps and diminishes at larger learning steps due to excessive memorization of the demonstration gameplay. Furthermore, comparative experiments demonstrate that imitation learning with 700 learning steps achieves learning efficiency improvements of approximately 300% and 571% compared to the zonation method and standard reinforcement learning pretraining, respectively. These results indicate that imitation learning from demonstrations can effectively reduce the prolonged training process in MARL, offering a viable solution, particularly when data collection, computational resources, and training time are severely constrained.
Pelatihan Robotika Tempat Sampah Pintar dan Miniatur Selektor Otomatis untuk Guru Elektronika SMP BPK PENABUR Kevin Sutanto; Marvin Yonathan Hadiyanto; Johansah Liman; Eddy Wijanto; Ivan Tanra; Indra Karnadi; Richie Estrada; Budi Harsono
Jurnal Atma Inovasia Vol. 6 No. 3 (2026)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v6i3.14056

Abstract

The advancement of robotics technology enables project based instructional media to be integrated into secondary education as a means to enhance technological literacy and problem solving skills among students. This community engagement program aimed to enhance the competencies of electronics subject teachers at SMP BPK PENABUR Jakarta through training on the design and implementation of basic Arduino based robotic systems. The training was conducted onsite using a hands-on approach and featured two applied projects: an ultrasonic based smart trash bin and a conveyor based automatic object selector. Participants gained practical experience in sensor introduction, simple block programming, and system functionality testing. Evaluation results indicated that the training was positively received and considered relevant to the school’s instructional needs in integrating technology into learning modules. This program contributed to improving teachers readiness to implement applied robotics learning and to strengthening STEM literacy foundations at the secondary education level.
Co-Authors Ade Septian Ananda Keshava Eddy Wijanto Indra Karnadi Isnia Oktavera Iwan Aang Soenandi Johansah Liman Johansah Liman lamto widodo Marvin Yonathan Hadiyanto Rendy Renandy Richie Estrada Shoaib Aslam Sutanto, Kevin Tanra, Ivan Vera Lusiana