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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Penelitian Saintek Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Journal of Engineering and Technological Sciences Jurnal Edukasi dan Penelitian Informatika (JEPIN) ELINVO (Electronics, Informatics, and Vocational Education) The Asian Journal of Technology Management (AJTM) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Ampere Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Sistem : Jurnal Ilmu-Ilmu Teknik INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Jurnal Abdimas Madani dan Lestari (JAMALI) Jurnal Karinov JE-Unisla Jurnal Teknika Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Frontier Energy System and Power Engineering Jurnal Fortech SinarFe7 Journal FORTEI-JEERI Prosiding Seminar Nasional Pengabdian Kepada Masyarakat JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) JEECS (Journal of Electrical Engineering and Computer Sciences) Khidmatuna: Journal of Research and Community Service Jurnal Inovasi Teknologi dan Edukasi Teknik Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) KOPEMAS Journal of Engineering and Technological Sciences Journal Electric Field Journal Electrical and Computer Experiences Jurnal FORTECH Energy: Jurnal Ilmiah Ilmu-ilmu Teknik Jurnal JEETech
A.N. Afandi
Universitas Negeri Malang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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The effect of automatic generation control (AGC) implementation on the electrical power system Samsurizal, Samsurizal; Afandi, Arif Nur; Sitanggan, Mario Martinus Land
Jurnal Penelitian Saintek Vol 30, No 1 (2025)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jps.v30i1.68493

Abstract

To enhance system resilience and prevent widespread blackouts from potential disruptions, a structured scheme is needed to reduce the impact of such disturbances. One of PLN's breakthrough initiatives is the activation of Automatic Generation Control (AGC) in the Java-Madura-Bali electricity system. Since the existing Load Frequency Control (LFC) system at Tambak Lorok PLTGU has been inactive for some time, the plant was selected for AGC implementation. This system is managed automatically by the Java Control Center (JCC) Dispatcher through a SCADA control scheme. This study aims to examine the effect of AGC activation on power plant regulation by JCC Dispatchers and to compare the SCADA system performance at Tambak Lorok with that of other power plants. A quantitative method with a descriptive approach was used, relying on SCADA point-to-point testing and real-time load trials with JCC Dispatchers. The results showed that during real-time testing, the Java-Bali grid frequency remained between 50.154 Hz and 49.819 Hz. These findings confirm AGC's effectiveness and support its broader implementation as a reliable solution for maintaining frequency stability and addressing challenges posed by intermittent renewable energy sources.
Design and Performance Evaluation of A Portable Low-Head Pico-Hydro System using A Rewound Axial Generator for Rural Energy Aripriharta, Aripriharta; Nibrosoma, Ahmad Dhaffa; Afandi, Arif Nur; Faiz, Mohamad Rodhi; Rahmadhani, Nur Aini Syafrina; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1489

Abstract

This study evaluates the performance of a pico-hydro system installed on a river with low head and discharge. The system was assessed under no-load and varying load conditions (25–100%). The results indicate that the generator performs according to the initial design, despite some fluctuations in output parameters. Under no-load conditions, the generator maintains a stable output voltage between 12–14 VAC, with a rotational speed of 590–600 RPM, a system frequency of 59–60 Hz, and zero current. The step-up transformer successfully raises the voltage to 220–222 V with high stability, although minor ripple is observed in the output signal. Under load, the generator voltage slightly decreases to 12–14 V as the load increases. The rotational speed also declines (560–590 RPM), affecting frequency stability, which drops from 59 Hz at 25% load to 56 Hz at full load. The current rises proportionally with the load, from 0.10 A at 25% to 0.45 A at 100%. The observed performance drop under load highlights the effect of load on generator speed and overall system output. The primary impacts of the 25–100% load range are evident in generator speed, frequency stability, and waveform quality. Overall, the system performs satisfactorily for low-head pico-hydro applications with a power capacity of up to 100 Watts, suitable for rural street lighting.
Solar Panel Analysis for Forecasting Solar Irradiation Using Fuzzy Time Series and ANN Methods Falah, Moh. Zainul; Wahyu Tri Handoko; Sujito; Abdullah Iskandar Syah; Muladi; Arif Nur Afandi
Journal Electrical and Computer Experiences Vol. 1 No. 2 (2023): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v1i2.183

Abstract

Solar energy is very important because it is a renewable and environmentally friendly source of energy. The demand for solar energy is increasing every year because people are increasingly aware of the importance of using clean and sustainable energy sources. This study aims to analyze the performance of solar panels using a solar irradiation forecasting model developed by the Fuzzy Time Series and Artificial Neural Network (ANN) methods. Solar irradiation data obtained from measurement of solar irradiation by means of IoT is used as input in the forecasting model. The forecasting model is then tested to see its accuracy in predicting solar panel performance. The test results show that the developed forecasting model has high accuracy in predicting solar panel performance. Therefore, the Fuzzy Time Series and ANN methods can be used as an effective tool in analyzing the performance of solar panels by taking into account environmental factors that have an impact on electricity production from solar panels. This research can be a reference for solar panel developers to improve solar panel performance by utilizing solar irradiation forecasting information.
Kendali Supply Beban Pada Sistem Pembangkit Hybrid Abdillah, Hartawan; Afandi, A.N.; Qurrata Ayun, Aldilla; Ari wibowo, Sulton
Jurnal FORTECH Vol. 1 No. 1 (2020): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/fortech.v1i1.215

Abstract

The Solar Power Plant is hybridized with other generating systems, namely the Wind Power Plant is one of the promising alternative energies in Indonesia. Power plant hybridization is using two or more power plants with different energy sources. Generally combined and supplied with PLN or Genset, in order to obtain synergies that provide economic and technical benefits (reliability of the supply system). The hybrid generator will maximize its use if supported by its load control. Use of efficient electrical energy is balanced with the use of the load released. Hybrid plants will not occur. Based on tests that have been carried out the intensity of sunlight affects the power produced by solar cells. The highest sunlight intensity when testing is during the day at 567 Lux with a voltage value of 21.22 V and current of 0.30 A, while the lowest intensity of sunlight is at 17.00 with the intensity of sunlight 56 ​​Lux with a voltage value of 5.5 V and current 0.15 A
Modified Orca Algorithm Based on the Navigation Behavior for Optimal Unit Commitment in Power Systems Widayanti, Lilis; Afandi, Arif Nur; Herwanto, Heru Wahyu
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13645

Abstract

This study presents the Novel Navigation Orca Algorithm (NNOA), an innovative optimization algorithm derived from Orca Algorithm (OA). NNOA addresses the unit commitment (UC), a complex issue in power systems that focuses on scheduling generator units to meet power demand while taking into account each generator's limitations, with the goal of lowering operating costs and gas emissions. NNOA exhibits orca hunting behavior through echolocation, utilizing the Doppler effect principle to promote adaptive movement and circumvent local optima, as in contrast to OA's wave-based exploration. The algorithm was evaluated utilizing IEEE 30-bus system data, focused on the Integrated Economic and Emission Dispatch (IEED) objective. The performance was evaluated against OA and Particle Swarm Optimization (PSO) through convergence analysis over 10 and 30 trials, each consisting of 100 iterations. NNOA decreased the IEED value by 1.33% in regard to OA and 1.51% in regard to PSO. NNOA achieved convergence in 10 iterations, whereas OA required 35, indicating 71.4% faster convergence rate. Wilcoxon rank-sum tests demonstrated significant differences between NNOA, OA, and PSO pairings. NNOA's per-iteration computation time exceeds the time needed by PSO, but it remains economical and profitable. Significantly, NNOA contributes minimizing the fuel consumption and emissions cost, which has a positive environmental impact. It effectively adheres to the required constraints, which include the hourly power demand and generator output limits. Future research is encouraged to apply NNOA to larger-scale power systems and explore its hybridization with PSO to enhance computational efficiency, result consistency, and robustness in practical grid operations.
IMPLEMENTASI MESIN PEMERAS MINUMAN EMPON EMPON INSTAN FOOD GRADE GUNA MENJAGA HIGIENITAS DAN KUALITAS USAHA MIKRO KECIL MENENGAH MELATI LOSARI Wirawan, I Made; Sujito, Sujito; Afandi, Arif Nur; Hadi, Mokh. Sholihul; Habibi, Muhammad Afnan
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 4 No 2 (2023): Jurnal Pengabdian Pendidikan Masyarakat Vol 4 No 2 (2023)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v4i2.1356

Abstract

The product produced by MSMEs Melati Losari is an instant empon empon drink that has many benefits. Problems that can be identified in the field of production are limitations in the process of squeezing the empon empon drink. MSMEs Melati Losari so far still uses manual equipment and methods, namely by placing it between the cloth and then threading it using human power. Thus it takes quite a long time in the process of producing the empon empon drink. The long process reduces productivity in processing this product. From the conditions above, the method and results of this community service are providing appropriate technology by applying an empon- empon drink squeezer machine, which aims to reduce interference during the squeeze process. This empon-empon squeezer is designed to make it easier for users and has a size that is small so that it can be stored easily and has press technology to make it easier during the process of squeezing instant empon-empon drinks. This empon- empon squeezer already uses stainless material to so that the instant empon empon drink during the squeezing process maintains the authentic taste and color of the processed empon empon ingredients. And can meet the recommended food safety standards (food grade) as well as carry out training on the use of tools and maintenance, so that these tools can increase the efficiency, and hygiene of empon empon beverage products, products with high hygiene can improve the quality and quantity of instant empon empon drink production MSMEs Melati Losari.
Neural Machine Translation of Spanish-English Food Recipes Using LSTM Dedes, Khen; Putra Utama, Agung Bella; Wibawa, Aji Prasetya; Afandi, Arif Nur; Handayani, Anik Nur; Hernandez, Leonel
JOIV : International Journal on Informatics Visualization Vol 6, No 2 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.2.804

Abstract

Nowadays, food is one of the things that has been globalized, and everyone from different parts of the world has been able to cook food from other countries through existing online recipes. Based on that, this study developed a translation formula using a neural machine translation (NMT). NMT is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance. The models proposed recently for neural machine translation often belong to a family of encoder–decoders. Our experiment led to novel insights and practical advice for building and extending NMT with the applied long short-term memory (LSTM) method to 47 bilingual food recipes between Spanish-English and English-Spanish. LSTM is one of the best machine learning methods for translating languages because it can retain memories for an extended period concurrently, grasp complicated connections between data, and provides highly useful information in deciding translation outcomes. The evaluation for this neural machine translation is to use BLEU. The comparing results show that the translation of recipes from Spanish-English has a better BLEU value of 0.998426 than English-Spanish with a data-sharing of 70%:30% during epoch 1000. Researchers can convert the country's popular cuisine recipes into another language for further research, allowing it to become more widely recognized abroad.
Desain Banyumas Smart City Berbasis Internet of Things (IoT) Menggunakan Fog Computing Architecture Bayu Prastyo; Faiz Syaikhoni Aziz; Wahyu Pribadi; A.N. Afandi
Jurnal JEETech Vol. 1 No. 2 (2020): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v1i2.7

Abstract

Internet use in Banyumas Regency is now increasingly diverse according to the demands of the needs. The development of communication technology raises various aspects that also develop. For example, the use of the internet for a traffic light control system so that it can be adjusted according to the settings and can be monitored in real time. In the development of communication technology, the term Internet of Things (IoT) emerged as the concept of extending the benefits of internet communication systems to give impulses to other systems. In other words, IoT is used as a communication for remote control and monitoring by utilizing an internet connection. The Internet of Things in the era is now being developed to create an intelligent system for the purposes of controlling various public needs until the concept of the smart city emerges. Basically, smart cities utilize internet connections for many purposes such as controlling CCTV, traffic lights, controlling arm robots in the industry and storing data in hospitals. If the system is carried out directly from the device to the central server, there will be a very long queue of data while the system created requires speed and accuracy of time so that a system is needed that allows sufficient data control and processing to be carried out on network edge users. Then fog Computing is used with the hope that the smart city system can work with small latency values ​​so that the system is more real-time in sending or receiving data
Aplikasi ORCA Algorithm Pada Optimasi Penyediaan Daya Sistem Berbasis Mobilitas Kendaraan Listrik A.N. Afandi; Farrel Candra W.A; Machrus Ali
Jurnal JEETech Vol. 4 No. 2 (2023): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v4i2.4204

Abstract

In reality, the electric power system is run by combining several production units to commit to meeting changes in load demand at each operating time. Apart from that, it also takes into account efforts to reduce overall costs while maintaining the specified technical limits. The general thing that is often done to achieve this condition is carried out with an economical operational approach which leads to minimizing operational costs. During 24 hour operations, the model that is often used is Dynamic Economic Operation (DEO) which takes into account changes in load demand over a 24 hour seven day period. This study uses the IEEE-62 bus system as a model, which is optimized using the Orca Algorithm. The load flexibility pattern is based on the effect of charging integration for Electric Vehicles (EV). The simulation results show that the Orca algorithm solves problems with fast iteration and provides the best results. The Orca algorithm provides good levels of convergence, power output and overall operational costs. EV distances and routes also have varying driving characteristics and varying power utilization. In terms of travel modes, which include one way and two trips, it has a mobility of 208,000 EVs, with respective distributions for working/business/study, service/shopping, leisure time, and other purposes.
Distributed Secondary Control with Consensus-Based Adaptive Droop and Voltage Observer for DC Microgrids Khusnul Hidayat; Arif Nur Afandi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2631

Abstract

This paper proposes a fully distributed secondary control scheme for a low-voltage DC microgrid with ring topology. The main objectives are to restore the common bus voltage to its nominal reference and to achieve accurate proportional current sharing among distributed generator units in the presence of non-uniform line resistances and mixed load conditions. The proposed secondary layer integrates a consensus-based adaptive droop controller and a consensus-based voltage observer. The adaptive droop mechanism dynamically adjusts the virtual impedance of each converter using neighbor-to-neighbor current information to reduce current-sharing errors, while the voltage observer provides a distributed estimate of the average bus voltage to compensate for droop-induced voltage deviations. The effectiveness of the proposed method is validated through simulation on a ring-configured DC microgrid consisting of four converters and five buses. A comparative study demonstrates that conventional droop control improves current sharing but introduces significant steady-state voltage deviation. By contrast, the proposed integrated approach achieves nearly zero current-sharing error while maintaining the DC bus voltage close to its reference value. The dynamic performance is further evaluated under both resistive-load and constant-power-load variations. The results show that the controller ensures fast voltage restoration, accurate proportional current sharing, and stable operation without sustained oscillations, even under nonlinear constant-power-load conditions. These findings indicate that the proposed distributed secondary control strategy provides robust voltage regulation and precise current sharing for ring-type DC microgrids.
Co-Authors Abdillah, Hartawan Abdullah Iskandar Syah Achmad Fakhri Achmad Syahrudin Fakhri Ade Siyanti Nurul Hidayah Adiguna, Satria Agung Haryono Ahmad Baihaqi Mas Aji Prasetya Wibawa Aji Presetya Wibawa Al Rasyid, Mochammad Syarifudin Aldilla Qurrata Ayun Aldilla Qurrata A’yun Ana Nuril Achadiyah Andoko Andoko, Andoko Andriansyah, Muhammad Rizal Andrik Kurniawan Anik Nur Handayani Anisah, Masayu Anjar Nur Ramadhani Annisa Firly Aprilia Putri Ardina, Andi Ahyina Ari wibowo, Sulton Arie Muazib Aripriharta - Asfani, Khoirudin Asnun Parwati Avinly Muhammad Najib Abdullah Aziz Prapta Dira Bagaskoro, Muhammad Cahyo Bayu Prasetyo Bayu Prasetyo Bayu Prastyo Bayu Prastyo Cahyo, Agung Dwi Cholil Hasyim Dedes, Khen Denis Eka Cahyani Dwi Prihanto Eka Mistakim Evelina Evelina Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz Faiz Syaikhoni Aziz, Fakhri, Achmad Syahrudin Falah, Moh. Zainul Farrel Candra W.A Farrel Candra W.A. Farrel Candra Winata Afandi Farrel Candra Winata Afandi Fatchurrochman Fatchurrochman Felix Andika Dwiyanto Felix Rafael Segundo Sevilla Fujita, Goro Goro Fujita Goro Fujita Gunawan, M. Ricko Hafizh Prihtiadi Hakkun Elmunsyah Hari Putranto Hartawan Abdillah Herlin Pujiarti Heru Wahyu Herwanto Hsien-I Lin I Made Wirawan Imam Saputra Irham Fadlika Irmawanto, Rudi Jatmiko, Anang Joko Utomo Joumil Aidil Saifuddin Junoh, Ahmad Kadri Kaki, Gregorius Paulus Mario Laka Kamil Faqih Khusnul Hidayat Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kotaro Hirasawa Langlang Gumilar Leonel Hernandez, Leonel Lia Sugesti Lia Sugesti Lilis Widayanti M. Rodhi Faiz M. Zainal Arifin Machrus Ali Markus Diantoro Mega Agustina Millah Nurhamidah Misbahul Munir Mistakim, Eka Mohamad Rodhi Faiz Mohammad Fakhim Widadiy Mokh Sholihul Hadi Muhammad Afnan Habibi Muhammad Andriansyah MUHAMMAD REFQI HIDAYATULLAH Muhammad Rizal Andriansyah Muladi Mu’ammar Faris Labib Nabila Hari Arimbi Nasikhudin Nedim Tutkun Nibrosoma, Ahmad Dhaffa Nimas Afina Nurul Agung Pratama Nurul Agung Pratama Nuviya Illa Muthi Aturroifah Octavia D.P. Yuan Omar, Saodah Pekik Argo Dahono Petr Korba Purwatiningsih, Ayu Putra Utama, Agung Bella Quota Sias Qurrata Ayun, Aldilla Rahmadhani, Nur Aini Syafrina Rahmatullah Aji Prabowo Rasyad, Sabilal Rizal Kholif Nurrohman Roseno, Taufik Rosmin, Norzanah Rudi Irmawanto Ruslan Hidayat Samat, Ahmad Asri Abd Samsurizal Samsurizal Saodah Omar Sari, Resi Kumala Sayekti Suindyah D Setiawan, Aditya Wahyu Shamsul Aizam Zulkifli Shandy Krisnawan Shelya Nova Candra Kirana Sias, Quota Alief Silvia Nurlaili Agustina Sitanggan, Mario Martinus Land Siti Sendari Slamet Wibawanto Sujito Sujito Sulistyo, Danang Arbian Sulton Ari wibowo Syaad Patmanthara T. Hiyama Trisnatika Dewi, Tansya Tutkun, Nedim Umi Rasyda, Thriska Dewi Vivi Aida Fitria Wahyu Pribadi Wahyu Pribadi Wahyu Tri Handoko Wayan Firdaus Mahmudy Wicaksono, Ibram Adib Yogi Dwi Mahandi Yuan Octavia Yuan Octavia D.P Yuan Octavia D.P Yuan, Octavia D.P. Yuni Rahmawati Yunis Sulistyorini Yunis Sulistyorini Yunis Sulistyorini, Yunis Zaeni, Ilham Ari Elbaith