Riny Sulistyowati
Teknik Elektro, Fakultas Teknik Elektro Dan Teknologi Informasi-ITATS

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Prototype and monitoring system of phasor measurement unit based on the internet of things Riny Sulistyowati; Hari Agus Sujono; Dedet Chandra Riawan; Rony Seto Wibowo; Mochamad Ashari
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 1: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i1.pp14-23

Abstract

This research resulting the method to reduce phasor measurement unit (PMU) amount and optimization of PMU replacement using a combination of Integer linear k-means. The first step of modeling is using a lot of PMUs that are optimized at Bendul Merisi network using integer linear k-means clustering for achieving an optimum solution of amount and replacement of PMU to be installed. The second step is estimating the uninstalled bus's power and voltage. PMU is using modified adaptive neuro-fuzzy inference system (ANFIS) of hybrid particle swarm optimization (PSO)-genetic algorithm (GA). The third step is to test and simulate the hardware design of the research for offline and online data. Research also tested network transmission of Java–Bali 500 kV. Designed simulation can calculate the active and reactive power of each bus in clusters so the total active and reactive power of each cluster can be known. Device tests to transmit data using internet of things (IoT) from a laboratory scale during 7 days have an average of 2.8 seconds while the field test required an average of 10.416 seconds during 24 hours.
Analisa Harmonisa Pada Unit Crane RTG (Rubber Tyred Gantry) Di PT. Nilam Port Terminal Indonesia Choirul Anam; Nasyith Hananur Rohiem; Riny Sulistyowati
Jurnal FORTECH Vol. 4 No. 1 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i1.4102

Abstract

RTG (Rubber Tyred Gantry) Crane tends to have harmonic distortions. It is caused by the VSD switching process that converts current from DC to AC, decreasing the power quality and affecting power generation. Disturbance tends to happen on voltage or a current sine wave of the system that contains multiplied frequency from fundamental frequency. It is required to analyze based on the IEEE standard of Std 519-2014 which described that the 20kV bus voltage has a limit value of 3% for VIHD and 5% for VTHD. By using available software, simulation is applied to the RTG Crane electrical system. Harmonic distortion will be discussed by gathering simulation result data in the form of the harmonic spectrum and harmonic wave. harmonic filter to be applied is an Active Filter and Passive Filter that then compared the compatibility to solve the harmonic distortion. The analysis is also applied to Power Factor (PF) value changes before and after filter installation.
Manajemen Sistem Pembangkit Listrik Tenaga Surya On-Grid Mohammad Adli Setiawan; Riny Sulistyowati; Machfud Syarifudin; Hari Agus Sujono; Wildan Agung Pambudi
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2023: SNESTIK III
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2023.3996

Abstract

Indonesia merupakan daerah tropis dengan sinar matahari yang melimpah, namun dengan seiringnya berjalannya waktu jumlah penduduk Indonesia semakin bertambah. Karena semakin bertambahnya jumlah penduduk Indonesia tersebut, maka konsumsi energi listrikpun maenjadi meningkat. Pada penelitian ini untuk merancang sistem Pembangkit Listrik Tenaga Surya yang terhubung dengan jaringan listrik menggunakan simulasi HelioScope pada CV Sinar Gemilang untuk menganalisa kelayakan dari sebi biaya. Dari hasil analisa, didapatkan biaya investasi awal yang dibutuhkan untuk sistem Pembangkit Listrik Tenaga Surya sebesar Rp. 835.557.218,56 dan biaya operasi pemeliharaan sebesar Rp. 12.533.358,28. Sedangkan biaya energi (COE) sebesar Rp. 1.366,55/kWh untuk Pembangkit Listrik Tenaga Surya lebih murah dibandingkan menggunakan PLN yang sebesar Rp. 2.354,38/kWh.
Rancang Bangun Estimasi Daya Output Pada Photovoltaic Menggunakan Metode Fuzzy Anfis Sugeno riny sulistyowati; Sujono, Hari Agus; H., Gatot Basuki; Saputra, Ariyanto Dwi
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 10 No. 1 (2026): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v10i1.1733

Abstract

General Background: The increasing demand for electrical energy has accelerated the development of renewable energy systems, particularly photovoltaic (PV) technology, which requires reliable power estimation under varying environmental conditions. Specific Background: PV output power is strongly affected by environmental parameters such as light intensity, voltage, current, and temperature, making prediction difficult when nonlinear relationships occur among variables. Knowledge Gap: Conventional multi-regression approaches have limitations in modeling nonlinear PV characteristics, while comparative evaluations of Adaptive Neuro-Fuzzy Inference System (ANFIS) configurations for PV power estimation remain limited. Aims: This study aims to develop and evaluate an ANFIS Sugeno-based model for estimating PV output power and compare its performance with multi-regression methods using real-time environmental data collected through an Arduino-based data logger. Results: The developed data logger successfully recorded stable real-time data, while the ANFIS model demonstrated substantially lower prediction errors than multi-regression. The best-performing configuration, Gauss555, achieved Mean Absolute Percentage Error (MAPE) values of 2.03% for training data and 2.13% for testing data, whereas multi-regression produced errors of 54.63% and 79.19%, respectively. Gaussian membership functions consistently generated lower and more stable Absolute Percentage Error (APE) values than triangular and trapezoidal functions. Novelty: The study integrates real-time PV environmental monitoring with comparative ANFIS membership function configurations to identify the most suitable nonlinear prediction model for PV output estimation. Implications: The findings demonstrate that ANFIS provides a robust and accurate approach for photovoltaic power estimation, supporting reliable renewable energy management and future intelligent PV monitoring systems.
RANCANG BANGUN BUCK BOOST CONVERTER PADA PHOTOVOLTAIC UNTUK POMPA AIR MOTOR DC KOLAM IKAN Naufal Farkhan Muflikh; riny sulistyowati
Jurnal Media Elektro Vol 14 No 2 (2025): Oktober 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.21040

Abstract

Solar energy plays an important role in reducing dependence on fossil fuels. However, fluctuations in sunlight intensity cause power variations in solar panels. This research aimed to develop a Buck-Boost Converter system to stabilize the voltage on solar panels that could support the operation of water pumps in fish ponds. This system used Arduino-based hardware and control. The researcher conducted research through literature studies, photovoltaic (PV) system design, Buck-Boost Converter circuit, device testing, and data analysis. The researcher used the main components, including 100 Wp solar panels, Buck-Boost Converter, Arduino Uno, INA219 sensor, and DC motor pump. The researcher tested the system for seven days to observe the stability of voltage and power under various lighting conditions. The test results showed that the Buck-Boost Converter could maintain voltage stability with an average power of 56.4 W or about 65.7% of the solar panel capacity. The system efficiently charged the 12V battery to power the water pump. This technology was suitable for environmentally friendly and energy-efficient, renewable energy-based aquaculture applications, with great potential to support the development of renewable energy systems in the aquaculture sector
RANCANG BANGUN PEMBANGKIT LISTRIK TENAGA SURYA UNTUK PENETASAN TELUR AYAM KAMPUNG riny sulistyowati; Dio Indra Bayu
Jurnal Media Elektro Vol 15 No 1 (2026): April 2026
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.27810

Abstract

Electric power is essential for daily activities; however, power outages frequently disrupt electricity supply, particularly for small-scale applications such as egg incubation in free-range poultry farming. The incubation process requires continuous electrical energy to maintain heat using a 15-watt lamp for approximately 21 days. To address this issue, alternative energy sources, especially solar energy, can be utilized through photovoltaic (PV) systems. However, PV systems inherently produce unstable output voltage due to fluctuations in solar irradiance, which may affect battery charging performance. To overcome this limitation, a Buck-Boost converter is implemented to regulate and stabilize the PV output voltage. In addition, temperature and humidity sensors are integrated into the incubator system to ensure optimal environmental conditions for egg hatching. Experimental results show that the Buck-Boost converter successfully stabilizes the PV voltage at 14 V, with an average current of 1.5 A in the first week, and 1.4 A in both the second and third weeks. Furthermore, the incubator maintains an average temperature of 37°C and humidity of 56%, which fall within the recommended range for successful egg hatching. These results indicate that the proposed system is capable of providing a stable energy supply while maintaining suitable incubation conditions.