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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) The Journal of Experimental Life Sciences (JELS) Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Arty: Jurnal Seni Rupa Jurnal SOLMA JURNAL MUQODDIMAH : Jurnal Ilmu Sosial, Politik dan Hummaniora Indonesian Journal of Electrical Engineering and Computer Science International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Jurnal Kepastian Hukum dan Keadilan Andalasian International Journal of Applied Science, Engineering, and Technology Akuntansi'45 COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi Priviet Social Sciences Journal Jurnal Rekayasa elektrika JAMBIS : Jurnal Administrasi Bisnis Eduarts: Jurnal Pendidikan Seni
Syafii .
Electrical Engineering, Dept., Engineering Faculty, Universitas Andalas
Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Neuroscience Social Sciences Other

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Journal : bulletin of electrical engineering and informatics

 1 
Techno-economic-enviro optimization analysis of diesel/PV/wind with pumped hydro storage for Mentawai Island microgrid Syafii Syafii; Wati Wati; Rahmad Fahreza
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.3167

Abstract

This paper presents a techno-economic analysis and environment assessment of hybrid photovoltaic (PV), wind turbine (WT), and diesel genset (DG) with pumped hydro storage (PHS) for a rural microgrid system. The analysis is carried out for a case study with Mentawai community load demand of 165.44 kWh/day at a peak load of 20.46 kW. The Homer simulation results show that there are eight feasible configurations, which the optimal hybrid system configuration to supply community load is the configuration with PV/DG/PHS. An optimal system has been achieved for the lowest NPC of Indonesian rupiah (IDR) 3,00 B consist of 15 kWp PV modules, 1 unit of PHS and a solar inverter with a size 25 kW. The net present cost and payback period are in accordance with criteria for the economic feasibility analysis method of a project. However, the cost of energy is greater than the electrical utility tariff, but this value can be considered for applications in the remote island area. Therefore, the project still feasible to be implemented. Since the renewable fraction of the system is increased hence this proposed system will have the lowest carbon emission.
Recognition of sign language hand gestures using leap motion sensor based on threshold and ANN models Muhammad Ilhamdi Rusydi; Syafii Syafii; Rizka Hadelina; Elmiyasna Kimin; Agung W. Setiawan; Andrivo Rusydi
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.536 KB) | DOI: 10.11591/eei.v9i2.1194

Abstract

Hand gesture recognition is a topic that is still investigated by many scientists for numerous useful aspects. This research investigated hand gestures for sign language number zero to nine. The hand gesture recognition was based on finger direction patterns. The finger directions were detected by a Leap Motion Controller. Finger direction pattern modeling was based on two methods: threshold and artificial neural network. Threshold model 1 contained 15 rules based on the range of finger directions on each axis. Threshold model 2 was developed from model 1 based on the behavior of finger movements when the subject performed hand gestures. The ANN model of the system was designed with four neurons at the output layer, 15 neurons at the input layer, seven neurons at the first hidden layer and 5 neurons at the second hidden layer. The artificial neural network used the logsig as the activation function. The result shows that the first threshold model has the lowest accuracy because the rule is too complicated and rigid. The threshold model 2 can improve the threshold model, but it still needs development to reach better accuracy. The ANN model gave the best result among the developed model with 98% accuracy. LMC produces useful biometric data for hand gesture recognition.
Improve PV-diesel operating management system considering sun availability time Syafii Syafii; Muhardika Muhardika; Heru Dibyo Laksono
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.5363

Abstract

This paper presents a hybrid photovoltaic (PV)-diesel management system performance analysis considering weather conditions. The system is designed to operate based on charging current, battery capacity, and loading current. During charging current is decreased but the battery capacity is high, and the PV system remains supplied for low and medium loading current. When the charging current is lowered and the battery capacity is in the middle, the PV system still supplies for low loading current. However, when the charging current decreases and the battery voltage decreased below 22.3 volts, the supply instantly switches to the diesel generator. The charge current is calculated by subtracting the PV current from the load current. A real-time clock is implemented as a timer to guarantee that there is no repetitive switching throughout the night when charging from the panel is missing. The system works automatically through microcontroller control during the day for 9 hours. The improvement that has been obtained is to overcome the problem of repeated switching processes by limiting the transfer process back to PV when sunlight is not available.
Recent trend and future prospect in optimization of electric vehicle charging: a systematic review Fauzi, Muhammad Ridha; Zakri, Azriyenni Azhari; Syafii, Syafii
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.8017

Abstract

Electric vehicles charging (EVs) must be done optimally to minimize the impact it causes. EVs are being recognized as a potential way to decrease greenhouse gas emissions and combat climate change. However, there are still difficulties in optimizing these systems to minimize operating costs and EVs charging waiting times. This study investigates several industrial, commercial and residential charging stations. The primary objective of this study is to systematically review the existing literature on optimizing EV charging. The collection of data was centered on scholarly articles released between the years 2018 and 2023 from Scopus, IEEE Xplore. This study presents a systematic literature review of optimizing EVs charging. As a result, 43 EVs charging optimization studies were obtained which were investigated and studied further. Identify and analysis the selected studies, there are two research topics and trends most frequently addressed by researchers: scheduling and coordination. The four most applied methods in EVs charging are identified: particle swarm optimization (PSO), genetic algorithm (GA), linear programming (LP) method, and evolutionary algorithms (EA). Future research directions: develop advanced optimization algorithms, investigating the integration of renewable energy sources into the charging infrastructure, exploring the potential of vehicle-to-grid (V2G) services, studying the impact of EVs charging on the power grid and developing strategies, considering the optimization of charging schedules and coordination strategies for large-scale EVs fleets.
An internet of things-based weather system for short-term solar and wind power forecasting using double moving average Syafii, Syafii; Nur Izrillah, Imra; Aulia, Aulia; Ilhamdi Rusydi, Muhammad
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9852

Abstract

This article presents the design and implementation of an internet of things (IoT)-based weather forecasting system aimed at optimizing operational planning for renewable energy generation. The system leverages a Raspberry Pi as its central controller, integrating pyranometer and anemometer sensors for real-time data collection and predictive analytics. Utilizing the double moving average method, the system provides accurate short-term forecasts of solar and wind power outputs, which are crucial for addressing the intermittency challenges of renewable energy sources. The integration with the Blynk platform ensures user-friendly data visualization and accessibility. Results from a three-day testing phase reveal the system's high accuracy, with prediction errors of 8.79% for solar power and 16.49% for wind power. These findings underscore the system's potential to enhance energy planning, improve efficiency, and support sustainability goals. By enabling data-driven decision-making, this IoT-based forecasting system offers a scalable solution for advancing renewable energy integration into the power grid.
A framework for multi-interval optimal power flow under solar energy penetration Maulana, Ricky; Syafii, Syafii; Aulia, Aulia
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.11091

Abstract

The increasing penetration of renewable energy introduces variability and uncertainty into power system operations, thus requiring accurate forecasting methods to ensure reliable and economical scheduling. This study presents a multi-interval day-ahead optimal power flow (OPF) analysis integrated with photovoltaic (PV) generation, where hourly PV forecasts are obtained using the seasonal autoregressive integrated moving average (SARIMA) (1,0,1)(4,0,3)24 model. The forecast results achieved low error values (root mean square error (RMSE)=0.354, normalized RMSE (NRMSE)=4.192%, mean absolute error (MAE)=0.202), successfully capturing the daily PV generation pattern and providing sufficiently accurate input for the OPF simulation. The forecasted PV profiles were then integrated into a multi-interval OPF framework using the MATPOWER interior point solver (MIPS) solver. Results show that PV integration reduces system operating costs compared to cases without PV, with cost savings observed at various time intervals (e.g., reduction from $802.22/hour to $780.65/hour during PV peak hours). Compared to the conventional single-interval OPF benchmark based on Weibull distribution assumptions for PV, the proposed framework achieves lower average costs ($790.97/hour vs. $869.70/hour) while also reflecting the real variability of solar dynamics and load. Overall, the integrated forecasting-optimization framework demonstrates that SARIMA-based PV forecasting provides reliable inputs for OPF and offers a practical tool to support future system planning and operation with higher renewable energy penetration.
Co-Authors ., Cahayahati ., Delima ., Erliwati ., Kamshory Abadi, Akbar Aditio Pribadi, Rizki Adrianti Adrianti Adrianti, Adrianti Agung W. Setiawan Agustin, Hanna Jenifer Akshar, Muh Alex, Taman Ali Basrah Pulungan Almoataz Youssef Abdelaziz Andi Pawawoi Andrivo Rusydi Armysa, Rindina Arnawan Hasibuan Arya, Engla Harda Asrizal . Aswardi Aswardi Aulia Aulia Aulia Aulia Axel Doriza Azhari Zakri , Azriyenni Azizah, Farah Azriyenni Azhari Zakri Azzahrah, Nadia Fatimah Beni Nugroho, Dionysius Benriwati Maharmi Budi Endarto Cahayahati . Chamdani Chamdani Dadan Ramdan Danas, Aidil Darmana, Ija Dawam Habibullah Dawam Habibullah Delima . Dian Noviandri Dina Maizana Dona Juliandri Edyan Noveri Elmiyasna Kimin Elysia Sholiha, Almira Rahma Endang Tri Wahyuni Erliwati . Fahreza, Rahmad Fajril Akbar Farah Azizah Fierda Nurany, Fierda Fikriyatullatifah, Anisa Fitriyan, Rahmawati Gumilar, Candra Habib Satria Habib Satria Habibullah, Dawam Hanalde Andre Handayani, Mia Putri Hasdi Putra, Hasdi Herris Yamashika Herris Yamashika Heru Irianto Hidayatullah Ismail, Hidayatullah Ija Darmana Ika Putri, Kartika Ilham Cholid Ilhamdi Rusydi, Muhammad Imam Fauzi Ath Thaariq Indrajaja, Nobella Indri Dayana Irfan El Fakhri Ita Merni Patulak Jaka Windarta Juliandri, Dona K. M. Nor K. M. Nor K. M. Nor Kamsidjo Budi Utomo Kamsory Kamsory, Kamsory Kartika Ika Putri Kartika Sri Kumala Sari Khin Moe Moe Kurniawan, Sulistyo Agung Dwi Kusnadi, Sekar Ayumeida Laksono, Heru Dibyo Layrenshia, Belinda Leily Wustha Johar Leonanda, Benny Dwika Liambana, Junlianty Lovely Son, Lovely M. Yonggi Puriza Maharmi, Benriwati Marroh, Zahrotul Isti'anah Matalata, Hendi Maulidi, M. Alfi Mochammad Novendri S Moe, Khin Moe Mohammad Taufiq Hidayat Monice Monice Moranain Mungkin Muhammad Fadlan Siregar Muhammad Hadi Putra, Muhammad Hadi Muhammad Imran Hamid Muhammad Khahfi Zuhanda Muhammad Nasir Muhammad Nurdin Muhammad Ridha Fauzi Muhardika Muhardika Mumtazah, Lutfia Anis Muzamir Isa Nasir, Hikmah Afifah Nasir, Muhammad Nofri Dodi Noor Azahra, Anggraeni Novizon, Novizon Nur Izrillah, Imra Nurdin, Muhammad Nurmarini, Eva Perdana Putra, Ilham Prihadini, Diana Purwadhi Purwadhi Putri, Lusi Ngestina Rahmad B.Y Syah Rahmad Fahreza Rahmawati Fitriyan Refdinal Nazir Ricky Maulana Ridwan, Ridwan Rizka Hadelina Roni Putra Rudi Salam Rusydi, Muhammad Ilhamdi Salfikri, Iqbal Sapto Nisworo Since Yuliana Frans, Inggrid Slamet Raharjo Sugiono Sugiono Syah, Rahmad B. Y. Syah, Rahmad B.Y Syukri Yunus Tahrir, Muhammad Thoriq Kurnia Agung Thoriq Kurnia Agung Veranita, Mira Wati Wati Wati Wati Wati, Wati Welly Yandi Yandi, Welly Yona Mayura Yudi Arfan Yusdiansyah, Yusdiansyah Zahroni, Teguh Rizali Zarta, Abdul Rasyid Zulwisli .