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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknik Elektro Indonesian Journal of Electrical Engineering and Informatics (IJEEI) PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Praxis : Jurnal Sains, Teknologi, Masyarakat dan Jejaring CYCLOTRON JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Litbang Provinsi Jawa Tengah Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Rekayasa elektrika Jurnal INFOTEL
Slamet Riyadi
Program Studi Teknik Elektro, Universitas Katolik Soegijapranata
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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Journal : Jurnal INFOTEL

 1 
Design and Implementation of Boost Voltage Doubler for Maximum Power Point Tracker Application Using STM32F1038CT Laras Triefena; Leonardus H. Pratomo; Slamet Riyadi; F. Budi Setiawan
JURNAL INFOTEL Vol 12 No 4 (2020): November 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i4.545

Abstract

Photovoltaic is an absolute device in the solar power plant system. A DC-DC converter with a maximum power point tracker (MPPT) algorithm is required to obtain the maximum power of photovoltaic. In general, solar power plant applications used a two-stage converter: the first stage is boosting DC-DC converter, and the second stage is the multilevel Inverter. Boost DC-DC converter is usually implemented singly, which causes many boost DC-DC converters to be implemented in a solar power plant application. The voltage doubler type boost DC-DC converter proposed in this paper is to simplify the circuit so that there is only one converter in a solar power plant application. This converter principle combines two conventional boost converters, which are integrated into one so that the power circuit and control circuit form become simpler. This proposal is verified through computation simulation and hardware design using the STM32F1038CT microcontroller for the final verification. The efficiency algorithm of the simulation is 99.7%, and the hardware experimental is 85.65%
Implementation of line detection self-driving car using HSV method based on raspberry pi 4 Florentinus Budi Setiawan; Eric Pratama Putra; Leonardus Heru Pratomo; Slamet Riyadi
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.801

Abstract

With the development of technology, especially in the field of robotics, daily human activities can be carried out with artificial intelligence. One of the artificial intelligence technologies that help ease the burden on humans, especially in terms of driving, is self-driving cars. In this case, self-driving cars have several methods with GPS systems, radar, lidar, or cameras. In this study, a self-driving car system was designed on a navigation path model using a street mark detector with an intermediary sensor, namely a camera as a vision sensor. This self-driving car system uses a prototype called an autonomous car to walk on a path which is a self-driving car navigation direction based on the detected line to be able to detect camera sensors that process line images from the camera using HSV. method. In this study, a self-driving car system has been successfully designed using a microcontroller, namely Raspberry Pi 4 as a programmer and L298n motor driver, BTS7960 as a driver for a self-driving car. The Raspberry Pi 4 sends real-time images through the camera as a vision sensor which then detects a line to navigate the movement of this self-driving car. By using image processing, the resulting level of precision can reach the average value according to the direction of the self-driving car.
Co-Authors Agengkarunia Cahyadi Wibawa Agutinus Fidelis Wibisono Alvin Martanio Arifin Wibisono Arifin Wibisono Eric Pratama Putra F. Budi Setiawan Farrel Adriantama Florentinus Budi Setiawan Florentinus Budi Setiawan Florentinus Budi Setiawan Florentinus Budi Setiawan Franciska Amalia Kurnianingsih Guntur Sumartin Laras Triefena Leonardus H. Pratomo Leonardus Heru Pratomo LEONARDUS HERU PRATOMO Leonardus Heru Pratomo Leonardus Heru Pratomo Lies Teddy Galang Ramadhan Nelson Roberto Duarte Padang Ufqi Sutrisno Phoa Marcellino Siva Rachmat Hidayat Shandy Jenifer Matitaputty Sulaiman Sulaiman Wibisono, Arifin Yanuarsyah Haroen Yosia Yovie Christian Wibowo