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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 Informatics and Communication Technology (IJ-ICT) Bulletin of Electrical Engineering and Informatics JUITA : Jurnal Informatika Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Letters in Information Technology Education (LITE) International Journal of Artificial Intelligence and Robotics (IJAIR) International Journal of Accounting & Finance in Asia Pasific Seminar Nasional Ilmu Terapan Journal of Educational Technology and Learning Creativity
Wahyu Mulyo Utomo
Universiti Tun Hussein Onn Malaysia
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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The Effectiveness Of Google Classroom and Dojo Class Using the Discovery Learning Model on The Learning Outcomes of Vocational School Students Suswanto, Hary; Soraya, Dila Umnia; Ramadiani, Nanda Resta; Utomo, Wahyu Mulyo
Letters in Information Technology Education (LITE) Vol 5, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v5i22022p62-66

Abstract

The aims of this study were to determine: (1) student learning outcomes through the use of Google Classroom and Class Dojo with the discovery learning model and (2) the effectiveness and efficiency of using Google Classroom and Class Dojo with the discovery learning model for class X. Multimedia students at SMKN 7 Poor. This research is a quasi-experimental research with quantitative and qualitative methods with the design of "Pre-test Post-test Nonequivalent Control Group". Data collection techniques by conducting interviews, giving treatment during learning, and student response questionnaires. The hypothesis is obtained from efficiency test data and effectiveness test. The results obtained from this study are: (1) the implementation of learning using Google Classroom and Class Dojo with the discovery learning model has increased learning outcomes and (2) the use of Google Classroom and Class Dojo with the discovery learning model provides efficient and effective results. In terms of efficiency and effectiveness, learning using Class Dojo with the discovery learning model is more efficient and effective compared to Google Classroom. 
Responsive Web Design Learning Media: Enhancing Student Independence in Vocational Web Programming Yoga, Wira Tri; Kusumadyahdewi, Kusumadyahdewi; Utomo, Wahyu Mulyo
Letters in Information Technology Education (LITE) Vol 6, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um010v6i22023p%p

Abstract

The main objective of this learning media development is to develop Responsive Web Design (RWD) based learning media with Pomodoro learning technique on web programming. The learning media is used to create learning media that is not monotonous, and students can learn independently with features such as Pomodoro time management, monitoring material that has been learned, live coding to learn coding practices, and quizzes to monitor student understanding. This research and development uses the Plomp development model reference which consists of 5 stages, namely (1) preliminary investigation, (2) design phase, (3) realization/construction phase, (4) test, evaluation, and revision phase, and (5) implementation phase. Products that have been produced in the form of Responsive Web Design (RWD) learning media with the name WCode. The results of the material expert validation assessment were 78.87 percent, media validation was 92.71 percent, development trials (small groups) were 87.36 percent, field trials (large groups) were 90.02 percent, the level of student learning independence after using the media was 79.38 percent with an increase of 12.99 percent from the level of student learning independence before using the learning media made. Overall, the learning media made can be considered feasible and used as a means of student learning materials in class and supporting independent student learning on web programming elements for vocational students majoring in Software Engineering.
Enhancing voltage stability through wavelet-fuzzy control of hydrogen flow in OC-PEM fuel cell Pangaribowo, Triyanto; Mulyo Utomo, Wahyu; Budiman, Abdul Hamid; Abu Bakar, Afarulrazi; Khaerudini, Deni Shidqi
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.v13i4.7045

Abstract

Open cathode proton exchange membrane fuel cells (OC-PEM fuel cells) serve as electricity generators, utilizing hydrogen as an input source. While effective for fixed loads like residential applications, challenges arise in dealing with output voltage fluctuations caused by rapid load changes. These fluctuations not only impact fuel cell performance but also introduce instability in the supplied power. To solve this issue, the study proposes an innovative hydrogen flow control system employing a feedforward wavelet- fuzzy method. The primary goal of this control system is to enhance fuzzy control performance using wavelets, mitigating signal fluctuations and achieving optimal stability in fuel cell output voltage under constant load conditions. Wavelet functions act as filters on the fuzzy control input, minimizing fluctuations and refining the entire process. Additionally, a feedforward system is incorporated to maintain hydrogen flow at the set point value. The proposed control system is implemented on a validated model using experimental data. Performance analysis reveals that the proposed method effectively stabilizes voltage by accelerating the recovery time from disturbances.
DESAIN STNK DIGITAL DENGAN CHIP ESP8266 BERBASIS INTERNET of THINGS (IoT) DALAM ERA INDUSTRI 4.0 Rizal, Achmad; Winardi, Slamet; Supriyatno, Dadang; Anindito, Benediktus; Utomo, Wahyu Mulyo
Seminar Nasional Ilmu Terapan Vol 2 No 1 (2018): Seminar Nasional Ilmu Terapan (SNITER) 2018
Publisher : Universitas Widya Kartika Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.974 KB)

Abstract

Setiap tahun jumlah kendaraan yang ada di Indonesia selalu bertambah. Jumlah kendaraan bermotor yang semakin banyak dapat menimbulkan masalah lalu lintas di jalan. Masalah sosisal, kriminal, maupun masalah politik bisa timbul karena sulitnya pengawasan terhadap kendaraan bermotor yang beredar di jalanan Indonesia. Internet of Things (IoT) dapat digunakan sebagai alat kontrol pendeteksi kendaraan sehingga tercipta solusi Green Economic Development City Smart dengan Sistem Transportasi yang baik dalam penanganan kendaraan bermotor. Sensor dengan teknologi IoT yang dipasang pada kendaraan bermotor dapat mengenali kendaraan melalui model informasi SSID plat nomor kendaraan. Sistem IoT yang terhubung dengan deteksi plat nomor kendaraan bermotor di embedded ke dalam sebuah chip digital yang dipasang pada setiap kendaraan bermotor. Implementasi IoT untuk Surat Tanda Nomor Kendaraan (STNK) Digital merupakan sebuah aplikasi Android yang terintegrasi dengan CHIP ESP8266 yang tertanam di kendaraan bermotor yang berisi identitas kendaraan bermotor dan pemilik kendaraan. CHIP ESP8266 berfungsi sebagai perangkat identifikasi terhadap kendaraan bermotor yang terintegrasi antara plat, nomor rangka, nomor mesin kendaraan dan STNK. Dengan adanya identifikasi ini maka STNK Digital hanya bisa digunakan oleh orang yang berhak melalui aplikasi smartphone dapat menjawab tantangan industry 4.0 yang menghendaki system yang terintegrasi.
THE ROLE OF WORKING CAPITAL TO INCREASE SMALL BUSINESS ENTERPRISES Fatmawati, Nurul; Nurlaila, Siti Hajar; Sukoco, Agus; Ade, Reswanda T.; Utomo, Wahyu Mulyo
International Journal of Accounting & Finance in Asia Pasific (IJAFAP) Vol 1, No 1 (2018): February 2018
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijafap.v1i1.112

Abstract

The objective of the research is to find the role of working capital that is sourced from own capital and credit capital in order to increase the value and capacity of small business sector. The research was conducted by surveys, interviews, and documentation of Financial Statement records. The data used in this study is the primary data,based on the analysis of the business credit process. The loan application stage, the review stage, credit analysis,credit approval, credit agreement stage and credit disbursement stage. The results found that the progress of SMEs is determined by the availability of working capital divided on their own capital and loan credit capital. Own capital and capital credit provide a positive and significant impact on business volume on SMEs in Surabaya.
Digitally fast synchronization of single-phase grid-tied inverter using FPGA Bakar, Afarulrazi Abu; Sannasy, Balarajan; Poad, Hazwaj Mhd; Sithananthan, Tharnisha; Utomo, Wahyu Mulyo; Rosli, Nor Farisha Diana
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2452-2461

Abstract

As interest in alternative energy sources grows, grid-connected inverters are getting more advanced. Thus, to synchronize the output waveform of an inverter with the grid supply system, the frequency and phase angle ought to be consistent. This paper presents an enhanced digital implementation controller for a grid-connected inverter using the sinusoidal pulse-width modulation (SPWM) switching technique via an appropriately designed low-pass filter. The main contribution of the proposed digital controller algorithm is to synchronize with the grid for the next half-cycle. The proposed control technique used the integrated response from the zero-crossing detector (ZCD) circuit for every half-cycle to trigger the digital phase-locked loop (PLL) implemented using field-programmable gate array (FPGA). An experimental 100 W single-phase full-bridge inverter prototype tested and validated the proposed control algorithm to prove the switching approach works. From the experimental results, the proposed control algorithm demonstrates synchronization with the grid voltage within 8 ms during startup. Furthermore, it exhibits the ability to adapt to phase changes when subjected to a distorted grid, achieving synchronization within 42 ms. This research also emphasizes synchronization between the grid waveform and the inverter output via the phase angle difference.
Voltage Tracking of Bidirectional DC-DC Converter Using Online Neural Network for Green Energy Application Diana, Nor Farisha; Utomo, Wahyu Mulyo; Abu Bakar, Afarulrazi Bin; Salimin, Suriana; Priyandoko, Gigih; Widjonarko, Widjonarko
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i1.22326

Abstract

In the current era, green energy systems like solar PV, wind energy, and battery storage critically rely on DC-DC converters to manage power flow and voltage conversion efficiently, ensuring optimal performance and reliability. Nevertheless, converters face multiple challenges, including efficiency losses, thermal management concerns, and electromagnetic interference, which can impact these green energy systems' overall performance and reliability. To overcome these challenges, it is necessary to utilize advanced control mechanisms, enhance heat management approaches, and optimize component design. Implementing these improvements will improve the effectiveness and durability of DC-DC converters in renewable energy applications. This research aims to analyze the performance characteristics of a three-phase interleaved half-bridge bidirectional (TPHB-Bi) converter. The research objective involves investigating the effectiveness of the proposed controller by rigorously assessing voltage tracking. This is done through comprehensive assessments of start-up procedures and reference voltage variations using MATLAB/Simulink. The study utilizes a neural network controller with an online learning algorithm based on backpropagation to enhance the converter's operational capabilities, ensuring a stable output voltage and improved transient response. The simulation results highlight the significant advantages of the proposed controller over a conventional PID controller. It exhibits a remarkable reduction in overshoot by 5.29%, considerably shorter rise times ranging from 0.01ms to 0.1ms, and faster settling times of 0.025s. The findings have great importance in promoting sustainable energy development and environmental protection. They demonstrate that implementing advanced control strategies for DC-DC converters can result in more efficient and reliable green energy systems.
Smart Hydroponic Nutrient Monitoring and Control System using Fuzzy Logic and IoT Alimussadad, Muhammad; Lestari, Dyah; Utomo, Wahyu Mulyo
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 2 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i2.1494

Abstract

Hydroponic farming offers an efficient and sustainable solution for modern agriculture, although main-taining stable nutrient levels remains a key challenge. Previous systems often exhibited high overshoot and were unable to adapt to external changes or disturbances, and no existing research has adaptively regulated nutrient levels based on the plant’s growth stage. Therefore, this study aims to develop a smart nutrient monitoring and control system for hydroponics using a Sugeno-type fuzzy logic controller inte-grated with an IoT-based application. Unlike prior systems that rely on fixed setpoints or only address nutrient deficiency, this system dynamically adjusts nutrient and water levels based on real time sensor data and plant growth phase. The system utilizes nutrient, water level, and temperature sensors connected to an ESP32 microcontroller, with fuzzy logic determining solenoid valve activation duration. The control system achieved stable regulation with zero overshoot, a settling time of 840 seconds, and effective recov-ery from nutrient disturbances. Growth tests on celery showed a 102.6% improvement in height, 275% in stem diameter, and 112.5% in leaf width compared to manual control. IoT monitoring via a mobile appli-cation ensured real time visibility of hydroponic parameters. These results demonstrate the system’s ca-pability to maintain optimal nutrient levels, improve control precision, and enhance plant productivity.
IoT-VR Integrated Framework for Precision Prebiotic Dosing in Intensive Aquaculture: A Technology-Based Approach to Sustainable Fish Production Junfithrana, Anggy Pradiftha; Suryana, Anang; Saputri, Utamy Sukmayu; Hasbullah, Dasep; Langlangbuana, Muhammad Labib; Mahamad, Abd Kadir; Utomo, Wahyu Mulyo; Onn, Choo Wou; Korkmaz, Hatice Betul
Journal of Educational Technology and Learning Creativity Vol. 3 No. 2 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jetlc.v3i2.2497

Abstract

Purpose of the study: This study aimed to develop and validate an integrated precision aquaculture framework that combines IoT-controlled multi-prebiotic dosing, centralized environmental monitoring, and virtual reality-based operator training to improve water quality, fish growth performance, and operational competency in intensive multi-pond fish farming systems. Methodology: A closed-loop precision aquaculture system was implemented for 30 days in 40 homogeneous circular ponds. The system used centralized sensors (dissolved oxygen, pH, temperature), IoT-actuated solenoid valves with inline flow sensors for four prebiotic formulations, Water Quality Index computation, VR-based operator training, and statistical analysis using one-way ANOVA, multiple linear regression, and paired t-tests. Main Findings: IoT-based management significantly improved Water Quality Index, survival rate, and specific growth rate compared with manual management. Automated prebiotic dosing was volumetrically accurate and consistently on time. Higher water quality strongly correlated with better growth and survival. VR training substantially reduced operator task completion time and operational errors, enhancing overall system efficiency and reliability. Novelty/Originality of this study: This study presents a fully integrated multidisciplinary precision aquaculture framework that uniquely combines IoT-driven multi-prebiotic automated dosing, centralized environmental monitoring for homogeneous pond networks, and VR-based immersive training as an active human–system interaction layer. It advances current knowledge by demonstrating a scalable, technology-mediated model that unites automation, water quality management, and skill development in intensive aquaculture.
Optimization of Unit Commitment Problems Integrated PV Generation Plants Based on Particle Swarm Optimization Algorithm Hendrayant, Arya; Wirateruna, Efendi S; Melfazen, Oktriza; Utomo, Wahyu Mulyo
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 7 No. 2 (2025): November 2025
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v7i2.10510

Abstract

The increasing integration of renewable energy sources, particularly photovoltaic (PV) systems, poses significant challenges in the Unit Commitment (UC) problem due to their intermittent and inertial nature. This condition can cause frequency instability during system disturbances, necessitating the development of new strategies to maintain reliable power system operation. This study proposes an enhanced UC optimization framework by integrating conventional thermal generating units, PV plants, and energy storage systems (ESS) that act as virtual inertia providers. To solve the optimization problem while considering various technical constraints—such as ramping limits, minimum on/off times, rotating reserve requirements, and nadir frequency thresholds—a modified Particle Swarm Optimization (PSO) algorithm is employed. The model is tested on a generating system consisting of nine thermal units, one PV plant, and one ESS. Simulation results show that the proposed method is capable of maintaining the system frequency above the nadir threshold of 49.5 Hz during disturbances while minimizing the total operating cost. Specifically, the optimal configurations without nadir constraints and with ESS integration achieve convergence in only four iterations with a computational time of 1.9 seconds. These findings demonstrate the effectiveness of integrating ESS as virtual inertia and the efficiency of a modified PSO algorithm in handling UC in systems with high renewable energy penetration. This framework offers a promising approach to improving cost efficiency and frequency stability in future renewable energy-based power systems.
Co-Authors Abdul Hamid Budiman Abu Bakar, Afarulrazi Abu Bakar, Afarulrazi Bin Achmad Rizal Agus Sukoco Alimussadad, Muhammad Alvin John Lim Meng Siang Anang Suryana Anggy Pradiftha Junfithrana Anindito, Benediktus Azuwien Aida Bohari Bakar, Afarulrazi Abu Baskara, Fatah Ridha Chien Siong Kai Dadang Supriyatno Daru Tri Nugroho Deni Shidqi Khaerudini Diana, Nor Farisha Dila Umnia Soraya Dirman Hanafi Dyah Lestari Efendi S Wirateruna Erwan Bin Sulaiman Faisal Amin Fatmawati, Nurul Goh Hui Hwang Hari Prasetijo Hari Siswantoro, Hari Hary Suswanto Hasbullah, Dasep Hassan Ali Soomro Hendrayant, Arya Kah Haw Law Khairun Nidzam Ramli Korkmaz, Hatice Betul Kusumadyahdewi, Kusumadyahdewi Langlangbuana, Muhammad Labib Lestari, Pashatania Fitri Indah Mahamad, Abd Kadir Mahyuzie Jenal Mohamad Md Som Mohd Noh Dalimin Mohd Shamian Zainal Nooradzianie Muhammad Zin Nor Aira Zambri Nor Azizi Yusoff Nurlaila, Siti Hajar Oktriza Melfazen Omar, Saodah Onn, Choo Wou Poad, Hazwaj Mhd Prabowo, Tito Tri Priyandoko Gigih Rajesh Kumar Ramadiani, Nanda Resta Reswanda T. Ade, Reswanda T. Rosli, Nor Farisha Diana Roslina Mat Ariff Roslina Mat Ariff Rosyadi, Marwan Rudi Heriansyah Salimin, Suriana Sannasy, Balarajan Saputri, Utamy Sukmayu Shipun Anuar Hamzah Sim Gia Yi Sim Sy Yi Sithananthan, Tharnisha Slamet Winardi Suroso Suroso Sy Yi Sim Taufik Taufik Triyanto Pangaribowo Widjonarko . Winasis Winasis Yoga, Wira Tri Yonis M. Y. Buswig Zainal Alam Haron