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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 JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Sarwahita : Jurnal Pengabdian Kepada Masyarakat Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Teknologi Informasi dan Pendidikan Buletin Ilmiah Sarjana Teknik Elektro Jurnal Karinov 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 Electrical and Computer Experiences Jurnal FORTECH
A.N. Afandi
Universitas Negeri Malang
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Optimizing the Productivity and Quality of Rambak Pisang Based on Automatic Oil Draining Machine Technology (Spinner) at MSME Kartika Kencana Wonosari District Faiz, Mohamad Rodhi; Arif Nur Afandi; Sujito, Sujito; Hari Putranto; Abdullah Iskandar Syah; Shandy Krisnawan
Khidmatuna (Jurnal Pengabdian Kepada Masyarakat) Vol 2 No 2 (2023): May
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58330/khidmatuna.v3i1.404

Abstract

This community service program aims to apply appropriate technology in the form of a banana rambak automatic draining machine (Spinner) to increase the business productivity of banana rambak business actors in Wonoagung Village, Kasembon District, Malang Regency. The banana rambak automatic oil draining machine (Spinner) was designed because business actors get a problem in the production process, especially in the process of draining business actors still use traditional techniques, namely placed in a container and given a paper base and then aerated. Thus, business actors must take a long time in the process of draining the oil in banana rambak. This can hinder productivity for banana rambak business actors so that banana rambak products have low quality. The application of the spinner machine aims to facilitate and accelerate the business actors belonging to the Kartika Kencana MSME in producing banana rambak. Thus, business actors have quality productivity and can increase productivity, especially banana rambak processing.
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.
Trip Pattern Impact of Electric Vehicles in Optimized Power Production using Orca Algorithm Afandi, Arif Nur; Zulkifli, Shamsul Aizam; Korba, Petr; Sevilla, Felix Rafael Segundo; Handayani, Anik Nur; Aripriharta, Aripriharta; Wibawa, Aji Presetya; Afandi, Farrel Candra Winata
Journal of Engineering and Technological Sciences Vol. 56 No. 4 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.4.3

Abstract

Power systems are run by combining different energy producers while the demand serves as the system’s energy user and covers all of the non-flexible and flexible loads, including electric vehicles (EVs). This study investigated the trip pattern impact of EVs, utilizing the Orca Algorithm (OA), in optimizing power production, applied to the IEEE-62 bus system as a model. Considering one-way and two-way trips over several categories of typical roads, the mobility of 14,504 EVs, divided into four driving patterns (Mobility 1-4), was estimated. Approximately 2,933 EVs traveled for working/business/study purposes, 3,862 EVs traveled for service/shopping purposes, approximately 5,376 EVs traveled for leisure purposes, while 2,334 EVs traveled for other reasons. The system had a total demand of 18,234.9 MVA, including 3,352.8 MW for electric vehicles and 14,151.5 MW for non-flexible loads. The EVs traveled a total of 119,018 km in Mobility 1, 141,799 km in Mobility 2, 184,614 km in Mobility 3, and 82,637 km in Mobility 4. The power produced was also used to charge the EVs during trips.
Design and Perfomance Analysis of Solar Thermoelectric Generator (STEG) for Heat Utilizing under Varying Temperature Condition HIDAYATULLAH, MUHAMMAD REFQI; AFANDI, ARIF NUR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.447

Abstract

Utilizing solar heat from building rooftops is crucial for urban heat island mitigation and energy efficiency in tropical climates. This study designs a Solar Thermoelectric Generator (STEG) panel and analyzes its performance in converting zinc waste heat into electricity under varying temperature conditions. An integrated experimental and ANSYS simulation approach evaluated zinc's thermal conductivity and STEG panel performance. Actual temperature data from the zinc material were collected to identify optimal temperature gradients (ΔT). Results showed the zinc panel achieved a maximum ΔT of 5.82∘C. A series configuration yielded 0.0825 mW peak power, while parallel reached 0.0085 W. System efficiency was calculated at 0.0090%. Despite initial low efficiency, these findings validate STEG panel design and zinc material feasibility for solar heat recovery.
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.
Co-Authors Abdillah, Hartawan Abdullah Iskandar Syah Achmad Fakhri Achmad Syahrudin Fakhri Ade Siyanti Nurul Hidayah Adiguna, Satria Afandi, Farrel Candra Winata Afina, Nimas Aji Prasetya Wibawa Al Rasyid, Mochammad Syarifudin Aldilla Qurrata Ayun Aldilla Qurrata A’yun Andoko Andoko, Andoko Andriansyah, Muhammad Rizal Andrik Kurniawan Anik Nur Handayani Anisah, Masayu Anjar Nur Ramadhani Aprilia Putri , Annisa Firly 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 Winata Afandi Fatchurrochman Fatchurrochman Felix Andika Dwiyanto Fujita, Goro Fujita, Goro Goro Fujita Gunawan, M. Ricko Hafizh Prihtiadi Hari Putranto Hartawan Abdillah Herlin Pujiarti Heru Wahyu Herwanto HIDAYATULLAH, MUHAMMAD REFQI Hsien-I Lin I Made Wirawan Imam Saputra Irham Fadlika Jatmiko, Anang Joko Utomo Joumil Aidil Saifuddin Junoh, Ahmad Kadri Kaki, Gregorius Paulus Mario Laka Kamil Faqih Korba, Petr 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 Mokh Sholihul Hadi Muhammad Afnan Habibi Muhammad Andriansyah Muhammad Rizal Andriansyah Muladi Mu’ammar Faris Labib Nabila Hari Arimbi Nasikhudin Nedim Tutkun Nibrosoma, Ahmad Dhaffa Nurul Agung Pratama Nurul Agung Pratama Nuviya Illa Muthi Aturroifah Octavia D.P. Yuan Omar, Saodah Pekik Argo Dahono 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 Ruslan Hidayat Samat, Ahmad Asri Abd Samsurizal Samsurizal Sari, Resi Kumala Sayekti Suindyah D Setiawan, Aditya Wahyu Sevilla, Felix Rafael Segundo 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 Tutkun, Nedim Umi Rasyda, Thriska Dewi Vivi Aida Fitria Wahyu Pribadi Wahyu Pribadi Wahyu Tri Handoko Wayan Firdaus Mahmudy Wibawa, Aji Presetya 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 Zulkifli, Shamsul Aizam