Article Per Year (5 Year)
p-Index From 2021 - 2026
2.332
P-Index
This Author published in this journals
All Journal MEDIA ELEKTRIKA Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Journal of Community Service in Science and Engineering Journal of Mechatronics and Artificial Intelligence
Adi Nugraha
Faculty Of Engineering, Universitas Sultan Ageng Tirtayasa
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Mechatronics and Artificial Intelligence

 1 
Forecasting Electrical Energy Loads at PT Krakatau Daya Electric Using the Linear Regression Method Krisna Bayu; Dhea Rahmalia Henidar; Fahmi Hermastiandi; Galih Prasetya; Adi Nugraha
Journal of Mechatronics and Artificial Intelligence Vol 1, No 1 (2024): JMAI: June 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v1i1.69977

Abstract

The importance of the role of electrical energy at this time cannot be denied and it is difficult to imagine how life would be without electricity, not only as a source of light at night in Cilegon City because it is rich in resources, especially in the industrial sector. Therefore, the existence of a guaranteed power supply is very important. PT Krakatau Daya Listrik, as the main provider and distributor of electrical energy in the KIEC Area (Krakatau Industrial Estate Cilegon), indirectly becomes the backbone for the economy of the people in the trading area of PT Krakatau Daya Listrik. The method used in making predictions is the linear regression method which is a method to test how accurate the relationship between x and y is. In addition, to do forecasting or similarity testing, use Google Colab. The results of the two show a correlation coefficient of 0.4 which is enough to have a relationship between x and y, the more years the more power or electrical energy is needed. This is very relevant considering that electrical energy has become a necessity, so this forecast can help electricity service providers to meet consumer needs.
Optimizing Energy-Efficient Home Electrical Systems through Capacitor Integration to Improve Future Energy Efficiency Adi Nugraha; Felycia Felycia
Journal of Mechatronics and Artificial Intelligence Vol 1, No 2 (2024): JMAI: December 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v1i2.76571

Abstract

This research discusses the optimization of energy-efficient home electrical systems through the integration of capacitors to improve future energy efficiency. The main objective is to analyze the impact of installing power capacitors in parallel with electrical loads such as fans, refrigerators, and computers to improve power factor and reduce energy consumption. An experimental approach is used, installing capacitors with different values (2μF, 6μF, 8μF) on the test loads and measuring parameters such as voltage, current, power factor, and active power. The results show that the installation of optimal capacitors (e.g., 2μF for fans, 8μF for refrigerators) significantly improves the power factor, from around 0.55-0.61 without capacitors to near unity with capacitors. This power factor improvement reduces the current flowing through the system, leading to lower active power losses and increased energy efficiency. For example, the fan current is reduced from 0.197A to 0.109A with a 2μF capacitor. The active power consumption also decreased for some loads, such as fans experiencing a 4.8% reduction, indicating energy savings. The capacitor integration provides economic benefits through reduced electricity costs and environmental benefits by lowering carbon emissions from reduced electricity generation. The key is to carefully select the right capacitor size to avoid over-compensation, requiring an analysis of the reactive power requirements for each load
Co-Authors Achmad Hafizh Agus Ramelan Anang Suryana Ceri Ahendyarti Dany Syauqi Nazhif Dhea Rahmalia Henidar Diky Zakaria Erlindriyani, Ratu Verlaili Fahmi Hermastiandi Fauzan, Akmal Nuur Fauzan, Fiqih Dzikri Felycia Felycia Felycia Felycia Felycia, Felycia Felycia, Felycia Felycia, Felycia Ferdiansyah Agung Pratama Franata, Nauval Futri, Dila Aura Galih Prasetya Imamul Muttakin Krisna Bayu Lufianawati, Dina Estining Tyas M.Syam, Fajar Moch Rizky Muchtar Ali Setyo Yudono Muhammad Bilal Hamzah Muhammad Husni Muttaqin Muhammad Rizalul Wahid Nike Sartika Pramudya, Galang Dimas Ramadhani, Ahmad Rezka Bunaiya Prayudha Sativa, Oryza Sayid Bahri Sriwijaya Shulhany M, Ahmad Sriwijaya, Sayid Bahri Sriwijaya, Sayid Bahri Yudhistira Saputra Zulfiqar, Danial