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Adi Nugraha
Sultan Ageng Tirtayasa University

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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 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.
Study of the Effect of the Use of Series Reactive Power Compensators on the Increase in Inductive Load Power Factor with Magnetic Energy Recovery Switches in Household Environments Adi Nugraha; Tartila Dinar Haqiqi; Lazuardi Akmal Islami; Panji Narputro
Journal of Mechatronics and Artificial Intelligence Vol. 2 No. 2 (2025): JMAI: December 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v2i2.83220

Abstract

The use of inductive loads in modern household electrical installations is increasing, particularly in multi-story homes equipped with elevators, water pump drive motors, and generators. Such inductive loads lead to a decrease in power factor due to the dominance of reactive power, which negatively affects the efficiency and cost of electricity consumption. This study aims to improve the power factor in a three-story residential electrical system by implementing a reactive compensation method using a Magnetic Energy Recovery Switch (MERS) circuit. The system design and analysis are based on active power data obtained through the Autodesk Revit 2024 application, with load parameters sourced from the F-H05 elevator, Grundfos pump motor, and Weichai Power generator. Simulation was carried out using PSIM software to determine the optimal capacitor value and triggering angle for the IRF820 MOSFET. The simulation results show that the application of MERS significantly improves the power factor, making the system more efficient and cost-effective.
Savonius Turbine Suitability Analysis Based on Low Wind Speed Characteristics Adi Nugraha; Fajar Ramadhan; Muhammad Fathurrizki; Reza Abdillah Prastian; Muhamad Khadavy; Muhammad Ilham Daifullah
Journal of Mechatronics and Artificial Intelligence Vol. 3 No. 1 (2026): JMAI: June 2026
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v3i1.137

Abstract

Wind energy is one of the renewable energy sources with significant potential to be developed as an environmentally friendly power generation alternative. However, the selection of wind turbine types must be adjusted to the wind speed characteristics of the implementation area to ensure optimal performance. This study aims to analyze the suitability of the Savonius turbine based on low wind speed characteristics. The research was conducted at the Faculty of Engineering, Universitas Sultan Ageng Tirtayasa (FT UNTIRTA), by measuring wind speed at three different locations using an anemometer. The measurement locations included an open sports field, a building rooftop, and a green open space area. The measurement results showed that the wind speed ranged from 1.5 m/s to 3.2 m/s, categorized as low wind speed below 4 m/s. The obtained data were analyzed and compared with the wind turbine performance characteristic graph based on the relationship between power coefficient (Cp) and turbine tip speed ratio (TSR). The analysis results indicate that the Savonius turbine has the most suitable characteristics for low wind speed conditions because it can operate at low TSR values and has good self-starting capability and high starting torque. In addition, the Savonius turbine offers simple construction, ease of manufacturing, and the ability to operate under varying wind directions. Based on the research results, the Savonius turbine is recommended as an alternative small-scale wind power generation system for areas with low wind speed characteristics.
Co-Authors Dhea Rahmalia Henidar Fahmi Hermastiandi Fajar Ramadhan Felycia Felycia Galih Prasetya Krisna Bayu Lazuardi Akmal Islami Muhamad Khadavy Muhammad Fathurrizki Muhammad Ilham Daifullah Panji Narputro Reza Abdillah Prastian Tartila Dinar Haqiqi