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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Teknosains Indonesian Journal of Electrical Engineering and Informatics (IJEEI) EMITTER International Journal of Engineering Technology SUSTINERE: Journal of Environment and Sustainability JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Celebes Education Review Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Engineering and Technology (INAJET) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Elektro (JTE) Jurnal Pendidikan Teknik Elektro ELPOSYS: Jurnal Sistem Kelistrikan Journal of Electrical Engineering Vokasi UNESA Bulletin of Engineering, Technology and Applied Science JURNAL LINTAS KARSA Jurnal Elektronika dan Telekomunikasi
Widi Aribowo
Universitas Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology 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 Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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K-Nearest Neighbors for Smart Solution Transportation: Prediction Distance Travel and Optimization of Fuel Usage and Charging Recommendations for ICE Vehicles Based in Surabaya Farid Baskoro; Widi Aribowo; Hisham Shehadeh; Hewa Majeed Zangana; Wahyu Sasongko Putro; Sri Dwiyanti; Aristyawan Putra Nurdiansyah
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15068

Abstract

Surabaya ranks 9th in Southeast Asia and 44th globally in the TomTom Traffic Index, with an average travel time of ±22 minutes for a 10 km distance, longer than Jakarta’s ±20 minutes. Given these traffic conditions, this study examines the application of the K-Nearest Neighbors (KNN) algorithm to predict vehicle travel distance based on remaining fuel consumption and provides recommendations for the nearest Gas Station (SPBU) based on the predicted distance. The study seeks to provide accurate distance predictions and recommend the nearest Gas Station (SPBU) for users based on fuel consumption and the predicted route, helping to navigate Surabaya’s congested traffic efficiently. The data used includes various levels of fuel consumption: 0.02, 0.06, 0.10, 0.14, 0.16, 0.20, and 0.24 liters for engines of 110, 125, and 150 cc. The model evaluation results, using three metrics: MAE, MAPE, and RMSE show that KNN performs excellently at low fuel consumption levels. At a consumption rate of 0.02 liters, the model produces a low MAE of 0.347, MAPE of 31.21%, and RMSE of 0.40, indicating minimal prediction error. The model's performance remains consistent at a consumption of 0.06 liters with MAE of 0.330, MAPE of 9.90%, and RMSE of 0.41, demonstrating a high level of accuracy. Technically, the implementation of this model can help reduce traffic congestion by directing vehicles to the nearest gas stations, thereby minimizing sudden stops on the road, improving traffic flow, and reduce wasted time spent searching for distant gas stations.
Indirect Matrix Converter Based Synchronous Reluctance Motor Drive Systems using Model Predictive Control Nur Vidia Laksmi B.; Muhammad Syahril Mubarok; Widi Aribowo; Didik Purwanto; Jacob Raglend Isaac; Vugar Hacimahmud Abdullayev
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15222

Abstract

This paper proposes a speed control strategy of Synchronous Reluctance Motors (SynRM) using an Indirect Matrix Converter (IMC) combined with a finite model predictive speed control (MPSC) and PI current control. This control algoritm is chosen than fully PI in both loops due to improve overall system stability and dynamic response. The IMC architecture offers advantages such as compactness, bidirectional power flow, and the elimination of bulky passive components, making it ideal for efficient motor drive systems. The proposed control method employs predictive algorithm using augmented state variable and cost function minimization technique. In addition, PI controllers here using a pole-assignment method. Both proposed controls aim to guarantee stability and responsiveness for dynamic performances. The MATLAB/Simulink is used here to simulate the system, incorporating practical motor parameters and space vector modulation techniques. Simulation results show that the control algorithm attains satisfactory speed performance, with minimal steady-state error 0.47%, overshoot below 2%, and fast settling time under various load 0.035 seconds and speed profiles. Additionally, the system performs robustly under reversed and sinusoidal speed commands, demonstrating its effectiveness and suitability for real-world industrial applications also need to implement in the experiment for the future works.
Power sharing based on starfish optimization algorithm in DC microgrid Widi Aribowo; Laith Abualigah; Diego Oliva; Abubakar Umar; Aliyu Sabo; Hisham A. Shehadeh
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.v15i2.9784

Abstract

This paper presents a starfish optimization algorithm (SFOA) method for optimizing control parameters in DC microgrids. SFOA is a new metaheuristic inspired by biology to solve optimization problems, which simulates the behavior of starfish, including exploration, preying, and regeneration. SFOA consists of two main phases of exploration and exploitation. This paper evaluates the performance of SFAO on droop control of DC microgrids by comparing with walrus optimizer (WO) and grasshopper optimization algorithm (GOA). From the simulation, SFOA shows superior capability. Validation on DC microgrid control using integral of time-weighted absolute error (ITAE) and integral of time-weighted squared error (ITSE). Simulation results demonstrate that the proposed technique exhibits a superior ITAE relative to WO and GOA, which are 6.88% and 8%, respectively. The performance validation results demonstrate that the SFOA approach exhibits potential and effective performance. The proposed method on DC microgrid control has been successfully applied and shows promising performance. The proposed methodology is particularly suitable for renewable energy integration in isolated or resource-constrained regions.
Dingo optimization algorithm for designing power system stabilizer Widi Aribowo; Bambang Suprianto; Unit Three Kartini; Aditya Prapanca
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp1-7

Abstract

The dingo optimization algorithm (DOA) adopts the social life of dingo dogs. The dingo is a breed of ancient dog originating from Australia. Dingo hunting strategies such as assault with persecution, flocking, and scavenging behavior became the inspiration for DOA. In this paper, DOA is applied to a power system stabilizer (PSS) to dampen low-frequency oscillations (LFO) in a single-machine infinite bus (SMIB). DOA is used to obtain optimal parameters for PSS. The damping controller is designed for optimal lead-lag control. To obtain the performance of the DOA method, the results were compared with the uncontrolled method, conventional PSS, Whale optimization algorithm (WOA), and grasshopper optimization algorithm (GOA). Simulation using MATLAB with three different operating conditions, namely light load (20%), medium load (50%) and high load (100%). From the simulation using MATLAB with SMIB modeling, it was found that the application of the DOA method on PSS has the ability to reduce the average undershoot value by 28.16% and reduce the average undershoot value to 65.57% compared to the conventional PSS method.
Kendali Motor DC Pada Rancang Bangun Alat Latihan Tenis Pintar Berbasis YOLO (You Only Look Once) Hafid Al azzah; Widi Aribowo
JURNAL TEKNIK ELEKTRO Vol. 14 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v14n3.p209-215

Abstract

Dunia pada umumnya terkhusus Indonesia saat ini kemajuan teknologi sudah berkembang secara pesat sehingga diperlukan teknologi guna efisiensi dan efektivitas kerja manusia. Salah satu olahraga yang digemari masyarakat belakangan ini adalah olahraga tenis lapangan. Dimana dalam olahraga ini teknologi otomatisasi belum banyak diterapkan, penerapan teknologi dimaksudkan untuk melatih skill bagi atlet dan juga membantu tugas pelatih dalam merencanakan porsi latihan. Salah satu efektivitas kerja yang dapat dilakukan adalah menyerdehanakan suatu proses menggunakan pengolahan citra (image processing). Pada tugas akhir ini dilakukan perancangan alat sebuah pelontar bola tenis lapangan pintar dengan kendali pintar berbasis YOLO (You Only Look Once). Bertujuan untuk memberikan kemudahan dan inovasi baru bagi atlet dalam berlatih. Pembuatan alat ini terdiri dari beberapa perangkat keras (hardware) seperti Arduino UNO, Motor DC, Servo MG995, Driver BTS7960, Kamera. Adapun perangkat lunak (software) yang digunakan yaitu Arduino IDE dan Visual Studio Code (Python). Tujuan dan hasil dari pembuatan alat pelontar bola tenis lapangan pintar ini adalah alat dapat kendalikan dengan melontarkan bola di 4 area lapangan sesuai dengan posisi pemain yan tercapture camera. Kata Kunci: Tenis Lapangan, Arduino, YOLO, Python, Kamera
Rancang Bangun Sistem Smart Home Protokol Modbus Berbasis Lo-Ra dengan Platform Antares Adhim Triano Nasrullah; Widi Aribowo
JURNAL TEKNIK ELEKTRO Vol. 14 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v14n3.p216-222

Abstract

Smart home dapat diartikan sebagai tempat tinggal yang dilengkapi dengan teknologi informasi dan komputasi data, rumah ini mampu merespons kebutuhan penghuninya. Dengan mengutamakan efisiensi dan otomatisasi perangkat, rumah ini menawarkan kenyamanan, keamanan, serta penghematan. Selain itu, rumah tersebut juga menyediakan hiburan melalui manajemen teknologi yang terintegrasi dan koneksi ke dunia luar.. Long Range (Lo-Ra) adalah sistem komunikasi wireless untuk Internet of Things (IoT) yang dapat mengirimkan atau menerima data secara jarak jauh. Tujuan dari penelitian ini adalah Merancang suatu sistem monitoring dan kendali smart home berbasis Lo-Ra dan Antares dan Mengukur kinerja lora dan antares smart home protokol modbus. Penelitian ini menggunakan metode penelitian eksperimental, di mana peneliti melakukan manipulasi sistem atau variabel tertentu untuk mengamati dampaknya pada variabel lain dan menarik kesimpulan sebab-akibat. Hasil dari penelitian ini adalah. sistem deteksi asap rokok dalam smart home dengan sistem bahasa pemrograman Arduino IDE yang terintegrasi dengan mikrokontroller terdapat pada sistem smart home, Pemrograman Arduino IDE berfungsi sebagai perintah untuk kendali otomatis komponen tersebut dan berhasil diterapkan secara praktis. Kata Kunci: smart home, Lo-Ra, antares, iot, arduino ide.
Sistem Monitoring Daya Listrik Untuk Konsumen di Lingkungan Perumahan Menggunakan LoRa SX1278 dan Internet Of Things Berbasis Node Red. Safira Tri Handini Ainul; Ayusta Lukita Wardani; Widi Aribowo; Nur Vidia Laksmi
JURNAL TEKNIK ELEKTRO Vol. 14 No. 3 (2025): SEPTEMBER 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v14n3.p275-282

Abstract

Sumber kekhawatiran dan kegelisahan para pelanggan terutama ibu rumah tangga adalah kenaikan tarif listrik secara tiba-tiba. Pemeriksaan meteran listrik berkala oleh petugas PLN masih dilakukan secara manual mendatangi rumah ke rumah. Sebagai solusinya, penelitian ini mengembangkan system monitoring daya listrik dengan komunikasi jarak jauh menggunakan komunikasi LoRa dan Internet of Things. Metode penelitian ini menggunakan metode eksperimen dengan pengujian alat, jangkauan LoRa pada lingkungan perumahan dan pengujian sensor PZEM-004T. Hasil dari prototipe alat system monitoring daya Listrik ini adalah LoRa SX1278 dengan antenna 5dBi pada lingkungan perumahan dapat menjangkau hingga 150 meter dengan kondisi LoS (Line of Sight) dan 80 meter dalam kondisi NLoS (Non Line of Sight). Pengujian pada sensor PZEM-004T memiliki presentase error terkecil sebesar 0,6% pada pengukuran tegangan dan 1,21% pada pengukuran arus dengan 3 buah beban dengan daya total 820W. Sebaliknya, persentase error terbesar pada percobaan alat elektronik dengan beban rendah 70W mencapai 2,51% untuk persentase error  tegangan dan 4,8% persentase error arus. Dengan hasil tersebut PZEM 004T cukup baik untuk sistem monitoring daya listrik rumah tangga. Hasil penelitian menunjukkan bahwa sistem dapat mempermudah pelanggan dalam memantau konsumsi listrik secara real time dan dapat mendukung petugas PLN dalam mendata meteran listrik tanpa harus melakukan pencatatan manual.
Cendrawasih Bird Optimization Algorithm : A nature-inspired metaheuristic Widi Aribowo; Laith Abualigah; Diego Oliva; Abeer Aljohani; Aliyu Sabo
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 14, No 2: June 2026
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v14i2.7419

Abstract

This study proposes a new metaheuristic algorithm named Cendrawasih Bird Optimization Algorithm (COA), inspired by the natural behavior of Cendrawasih birds—an endemic species of Indonesia. COA mimics the main behavior of the birds, namely exploration and exploitation, to create a balance between global exploration and local exploitation capabilities in solving various optimization problems. This algorithm is mathematically modeled and evaluated using 23 benchmark functions from CEC 2017, and its performance is compared against eight state-of-the-art metaheuristic algorithms. The results of numerical experiments, convergence analysis, and statistical tests show that COA has competitive performance, especially in terms of stability and consistency on unimodal and multimodal functions. Overall, COA is proven to be a reliable, robust, and efficient optimization tool with broad application potential in various engineering and scientific fields.
Intelligent Tutoring Systems for Adaptive and Personalized Learning in Vocational Education: A Systematic Literature Review Asyraf Rahmat Hidayatulloh Asyraf; Rina Harimurti; Yeni Anistyasari; Widi Aribowo
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 4 (2026): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i4.16270

Abstract

Rapid advances in Artificial Intelligence (AI) have driven the growth of Intelligent Learning Systems (ITS) that support adaptive and personalized learning, however, the implementation of ITS in vocational education remains limited and has not been fully integrated into real-world, competency-based training environments. The research contribution of this study is threefold: a comprehensive synthesis of recent AI-based ITS research, a quantified account of the persistent research gap in vocational-education applications, and a conceptual framework for implementing ITS in vocational settings that integrates competency-based content, dual cognitive-psychomotor student modelling, and simulation-based pedagogy. This study applies a Systematic Literature Review guided by the PRISMA protocol. From 300 articles identified across major scientific databases, a staged process of screening, eligibility assessment, and quality assessment yielded 30 articles published between 2019 and 2025 for final analysis. The findings show a sharp increase in ITS publications, with 46.7% published in 2025 alone, driven largely by the adoption of generative AI and large language models. By research type, 50% were systematic reviews, 23.3% empirical studies, 13.3% technology-development studies, and 13.3% conceptual studies. Most studies (63.3%) were conducted in general education contexts, while only 6.7% specifically addressed vocational or workforce-based education, confirming a clear and persistent research gap. ITS was found to effectively support adaptive learning through dynamic content adjustment, personalized learning pathways, real-time feedback, and data-driven performance prediction enabled by the integration of Learning Analytics and Educational Data Mining. AI-based ITS holds substantial potential to enhance learning effectiveness, but further empirical research is needed to validates its implementation in vocational education, particularly through the conceptual framework proposed in this study.
Co-Authors A. Shehadeh, Hisham A.A. Ketut Agung Cahyawan W Abeer Aljohani Abualigah, Laith Abubakar Umar Abubakar Umar Achmad Imam Agung ACHMAD RIZAL MAWALI Achmad, Fendi Ade Ananda Kurniawan Adhim Triano Nasrullah Aditya Chandra Hermawan Aditya Chandra Hermawan Aditya Prapanca Agus Budi Santosa Agus Budi Santosa Agustin, Intan Permata Akhmad Rizqi Kamal Alfarid Hendro Yuwono Alfarid Hendro Yuwono Aliyu Sabo Aliyu Sabo Aliyu Sabo Aljohani, Abeer Amaliah, Fithrotul Irda Anita Susanti Arief, Muhammad Baharuddin Arief, Rozihan Aristyawan Putra Nurdiansyah Ariyanto, Sudirman Rizki Arrashid, Rakhmad Arrashid, Rakhmad Agus Asyraf Rahmat Hidayatulloh Asyraf Ayusta Lukita Wardani Aziz, As’ad Shidqy B, Nur Vidia Laksmi B., I Gusti Putu Asto Bambang Suprianto . Daeng Rakhmatullah Danang Aji Basudewa Deshinta Arrova Dewi Didik Purwanto Diego Oliva Diego Oliva Diego Oliva Dwi, Mochamad Hanif Edy Kurniawan Effendi, Moh. Zaenal Ehab Saif Ghith Elsayed Abd Elaziz, Mohamed Erina Rahmadyanti Euis Ismayati Farid Baskoro Farid Baskoro Faruqi, Muhammad Ismail Feby Agung Pamuji Fendi Achmad Firdaus, Muhammad Riqi Fithrotul Irda Amaliah Fransisca, Yulia Hafid Al azzah Heri Suryoatmojo Hermawan , Aditya Chandra Hermawan,, Aditya Chandra Hewa Majeed Zangana Hisham A. Shehadeh Hisham A. Shehadeh Hisham Shehadeh Ibrohim Ibrohim Ibrohim Igo Nanda Deka Zaymapa Ilham Amarulloh Ismet Basuki Jacob Raglend Isaac Joko Joko Karin Nur Fitria Ariyanti Kevin Pranata Putra Khoirul Anwar Khoriri, Doddy Nur Kusuma Refa Haratama Laith Abualigah Laith Abualigah Laith Abualigah Liu, Tian-Hua Lucia Tri Pangesthi Lukita Wardani, Ayusta Luthfiyah Nurlela Ma'arif, Muhammad Fikrul Mahendra Widiyartono Mahendra Widyartono Mochamad Hanif Dwi Wicaksono Mubarok, Muhammad Syahril MUHAMMAD PERMANA SETYA GUNAWAN Muhammad Syahril Mubarok Muhammad Syahril Mubarok Muhammad Taufiqurrohman, Muhammad Munoto Munoto Musthofa, Achmad Malikur Robbani Mzili, Toufik Nafi Isbadrianingtyas Nita Kusumawati Nugrahani Astuti Nugroho, Yuli Sutoto Nur Vidia Laksmi Nur Vidia Laksmi B Nurlita, Ita Nurul Jaizah Oliva, Diego Pradipta, Moh. Alfiansyah Putera Putra, Andreas Perkasa R. Endro Wibisono Raden Mohamad Herdian Bhakti Rahmadian, Reza Rahmatullah, Daeng Rajani Balakrishnan Rakhmad Agus Arrashid Reza Rahmadian Ridwan, M. Nanda Tri Maulana Rina Harimurti Rosalin, Berliana Dzakiyya Ruzairi Abdul rahim Sabo Aliyu Sabo, Aliyu Safira Tri Handini Ainul Salam, Muhammad Abdus Shehadeh, Hisham A. Siti Sulandjari Soleimanian Gharehchopogh, Farhad Sri . Handayani Sri Dwiyanti Subuh Isnur Haryudo Suhermanto, Dimas Ahmad Nur Kholis Supari Muslim Supari Supari Syamsul Muarif Taufiqur Rohman Toufik Mzili Udin, Muhammad Syafi Umaroh, Susi Tri Unit Three Kartini Vugar Hacimahmud Abdullayev Wahyu Sasongko Putro Wicaksono, Mochamad Hanif Dwi Widiyartono, Mahendra Wiyli Yustanti WRAHATNOLO, TRI Yeni Anistyasari Yuni Yamasari Zahrotul Maulia Zangana, Hewa Majeed Zaymapa, Igo Nanda Deka