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All Journal Jusikom: Jurnal Sistem Informasi Ilmu Komputer Journal of Telecommunication and Electrical Scientific
Winner Parluhutan Nainggolan
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM Riski Titian Ginting; Yoga Tri Nugraha; Despaleri Perangin-Angin; Togar Timoteus Gultom; Winner Parluhutan Nainggolan; Delima Sitanggang
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 6 No. 2 (2023): Jurnal Sistem Informasi dan Ilmu Komputer Prima (JUSIKOM Prima)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3477

Abstract

Electric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method. MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth.
Smart Irrigation Pump Design Building Range Using Arduino Atmega 328 Ismael Widodo Silaban; Denny Hasminta Sembiring Maha; Winner Parluhutan Nainggolan
Journal of Telecommunication and Electrical Scientific Vol 1 No 02 (2024): Journal of Telecommunication and Electrical Scientific (JTElS) (On Progress)
Publisher : Program Studi Teknik Elektro, Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24010/jtels.v1i2.935

Abstract

The integration of technology into agriculture has become increasingly prevalent, with smart irrigation systems emerging as a crucial tool for sustainable crop management. This research focuses on the design and implementation of a smart irrigation pump system using Arduino ATMEGA328 microcontroller, aiming to optimize water usage and enhance crop yields. The system utilizes a combination of sensors, actuators, and control logic to automate irrigation processes and adapt to changing environmental conditions. The device can also be used on surface irrigation systems because it can monitor the surface of the container in the water pad, so that the water is not wasted in vain because there is no control system, because the prototype device is running well. With an average accuracy rate of 98.3%.Arduino ATMEGA 328
Co-Authors Delima Sitanggang Denny Hasminta Sembiring Maha Despaleri Perangin-angin Ginting, Riski Titian Ismael Widodo Silaban Togar Timoteus Gultom Yoga Tri Nugraha