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All Journal Jurnal Edukasi Elektro JURNAL NASIONAL TEKNIK ELEKTRO JMECS (Journal of Measurements, Electronics, Communications, and Systems) Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Media Elektrik Energy Insights
Wirasapta , Andicho Haryus
Universitas Jambi
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Designing a Google Voice-Based Solar Panel Cleaner Control System Tessal, Dasrinal; Marzal, Jefri; Triantini, Dewi; Wirasapta , Andicho Haryus; Fikri , Muhammad Khalis; Saputra , Angga Riyan Trio; Mishi , Salmuna Sajjad
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.90041

Abstract

Current solar panel maintenance often involves manual, rooftop fieldwork, which introduces significant fall-from-height risks and occupational hazards. To address this, this research investigates the integration of the Internet of Things (IoT) to streamline and enhance operational efficiency. The goal is to develop an IoT-enabled solution for user-driven routine maintenance that can significantly mitigate occupational hazards and reduce maintenance duration. This system is designed to optimize the long-term energy yield of solar panels by preventing the typical efficiency decline caused by neglected upkeep. The study employs a prototype development method (literature review, construction model design, and control system development). The final system leverages common consumer-grade terminal devices (smartphones, laptops) to provide a ubiquitous, real-time control interface, allowing users to manage the system remotely via a stable network connection.
Design and Simulation of a QPSK Demodulator Using Discrete Components Andicho Haryus Wirasapta; Salisa 'Asyarina Ramadhani; Mishi , Salmuna Sajjad; Malik, Zeeshan Hamid
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 3: November 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n3.1386.2025

Abstract

Quadrature Phase Shift Keying (QPSK) is a widely adopted digital modulation technique that encodes two bits of information in each symbol by utilizing four distinct phase states separated by 90 degrees. This approach offers high spectral efficiency, making it especially suitable for modern communication systems that demand robust data transmission with limited bandwidth. This investigation details the design process and LTspice-based simulation of a QPSK demodulator constructed entirely from discrete electronic components. This work addresses a gap in previous research, which has largely relied on integrated circuits or software-based algorithms, by focusing on circuit-level implementation using basic analog and digital components. The demodulator was assembled on a prototype PCB, combining fundamental operational amplifiers, mixers, filters, and digital logic gates to perform the required signal processing functions. The evaluation involved testing the demodulator's ability to accurately recover the transmitted data and its operational stability. Simulation results demonstrated reliable performance across all stages, with the demodulator successfully maintaining phase detection accuracy and reconstructing the original 8-bit test sequence with high fidelity. Under test conditions with a 1 MHz carrier frequency and a data transmission rate of 500 kHz, the recovered signal showed an approximate delay of 4.5 microseconds attributable to the sequential parallel-to-serial conversion process. Despite the delay, the demodulator maintained full symbol-level correlation with the transmitted data stream. These findings confirm that a discrete component-based QPSK demodulator can effectively support reliable digital communication, highlighting its practicality for educational purposes, low-cost prototyping, laboratory training, and preliminary hardware development in the field of wireless and wired communication systems.
Simulasi Keputusan Handover Cerdas berbasis Support Vector Machine pada Jaringan Nirkabel Menggunakan Matlab Wirasapta, Andicho Haryus; Pamungkas, Tiara Deta
Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Vol. 23 No. 1 (2026): Jurnal Litek, Maret 2026
Publisher : Jurusan Teknik Elektro Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/litek.v23i1.104

Abstract

Manajemen mobilitas merupakan tantangan utama dalam jaringan seluler nirkabel akibat dinamika kanal dan mobilitas pengguna, di mana skema handover konvensional berbasis ambang RSS atau SINR sering memicu handover tidak perlu dan efek ping-pong. Penelitian ini mengusulkan mekanisme keputusan handover cerdas berbasis kecerdasan buatan menggunakan Support Vector Machine (SVM) dengan integrasi fitur RSS, SINR, kecepatan pengguna, dan beban base station. Evaluasi melalui simulasi MATLAB pada kondisi kanal dan mobilitas yang realistis menunjukkan bahwa pendekatan yang diusulkan mampu mengurangi jumlah handover dan kejadian ping-pong lebih dari 50%, menurunkan probabilitas packet loss sekitar 6%, serta meningkatkan effective throughput sekitar 6% dibandingkan dengan skema berbasis threshold konvensional. Hasil ini menegaskan kontribusi ilmiah utama penelitian dalam merumuskan dan mengevaluasi mekanisme keputusan handover berbasis SVM yang mengintegrasikan parameter kanal dan mobilitas secara simultan, serta secara kuantitatif menunjukkan peningkatan kinerja jaringan dibandingkan dengan skema handover berbasis threshold konvensional.
Adaptive Control Optimization for Solar Energy Storage Systems Using Fuzzy Logic, Genetic Algorithms, and State of Charge Estimation Wirasapta, Andicho Haryus; Pamungkas, Tiara Deta
JMECS (Journal of Measurements, Electronics, Communications, and Systems) In Press Papers
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v12i2.10090

Abstract

The intermittent nature of solar energy results in a generation versus load curve, thus becoming a significant challenge for reliable utilization. The use of a battery energy storage system, on the other hand, plays a vital role in uninterrupted power supply; however, it requires advanced control techniques for smooth functionality. The use of conventional techniques, such as a classical Maximum Power Point Tracking scheme based on Constant Current/Constant Voltage, becomes inefficient for dealing with nonlinear dynamics associated with system functionality, thereby reducing battery life. The proposed composite approach incorporates fuzzy logic decision-making, Genetic Algorithm optimization, and adaptive Extended Kalman Filter estimation for quantifying real-time battery state. A comprehensive PV-BESS model has been developed in the environment of a MATLAB/Simulink toolbox, using actual load as well as actual solar irradiance. The results based on the proposed approach indicate improvement in energy efficiency of 20% along with 5% accuracy in battery state estimation while extending battery life to 18-25% compared to conventional battery energy storage systems. The proposed approach provides a robust, optimizing, as well as a viable solution set for the PV-BESS system, thereby paving the way for future micro-grid development.
Banana Ripeness Classification Using Convolutional Neural Network Based on Resnet-50 Khalis Fikri, Muhammad; 'Asyarina Ramadhani, Salisa; Haryus Wirasapta, Andicho; Rabiula, Andre; Anzari, Yandi; Alghifari, Hamzah; Sajjad Mishi, Salmuna
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11482

Abstract

The manual assessment of banana ripeness on an industrial scale is subjective, time-consuming, and inconsistent. This necessitates an automated computer vision system. Previous studies have used shallow Convolutional Neural Networks (CNNs) for binary classification, but these networks often struggle with complex ripening stages and degrade in deeper networks. This study addresses this gap by implementing a deep learning algorithm using the ResNet-50 architecture. The residual block mechanism extracts fine-grained visual features without vanishing gradient issues. The model was evaluated using a diverse dataset of 13,478 digital images spanning four stages of banana ripeness: overripe, ripe, rotten, and unripe. Using a 95-5 train and test-validation split, the model was optimized over 50 epochs with a categorical cross-entropy loss function. The proposed model achieved outstanding accuracy (98.13%), minimal loss (0.1237), and average precision, recall, and F1-scores of 98.09%, 98.20%, and 98.14%, respectively. This study scientifically validates the robustness of deep residual networks in complex agro-industrial pattern recognition. Furthermore, with an inference time of approximately 50 ms per image, the system is ready for seamless integration into an automated sorting line.
Simulation-Based Analysis of Packet Scheduling Strategies and Traffic Load Effects on Network QoS Wirasapta, Andicho Haryus; Pamungkas, Tiara Deta; Mishi , Salmuna Sajjad
Energy Insights Vol. 1 No. 2 (2026): Energy Insights
Publisher : Teknik Elektro, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/ei.v1i2.11311

Abstract

This study addresses a significant gap in quality of service (QoS) simulation research by evaluating the impact of packet scheduling mechanisms on network performance under varying traffic loads and link capacities. Using MATLAB simulations, we introduce a novel framework to assess the performance of FIFO, Priority Scheduling, and Weighted Round Robin (WRR) mechanisms in a network supporting voice, video, and data traffic. The results highlight that WRR provides the most balanced performance, achieving lower delay (59 ms), reduced jitter (11 ms), higher throughput (4.18 Mbps), and lower packet loss (3.2%) compared to FIFO and priority scheduling. This study fills a critical gap by offering new insights into QoS performance across heterogeneous network environments, with practical implications for optimizing network performance. Furthermore, the findings contribute to theoretical research by demonstrating the need for adaptive scheduling strategies in real-time communication networks, especially under high-traffic conditions.
Integrating Green IT into IS/IT Strategic Planning: A Ward and Peppard Framework for Sustainable Digital Transformation in Higher Education Pujiono, Agung; Samopa, Febriliyan; Rabiula, Andre; Haryus Wirasapta, Andicho; Fikri Muhammad , Khalis Fikri
Jurnal Media Elektrik Vol. 23 No. 2 (2026): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i2.11875

Abstract

The development of information systems and information technology (IS/IT) has significantly transformed higher education; however, inadequate strategic planning often leads to inefficiencies and environmental impacts, such as high energy consumption and electronic waste. Despite the growing importance of sustainability, existing IS/IT strategic planning approaches generally do not explicitly integrate environmental considerations, thus creating a gap between digital transformation and sustainability objectives. This study aims to develop an IS/IT strategic planning framework that integrates green IT principles within the Ward and Peppard methodology. A qualitative case study approach was applied at Akademi Farmasi Yarsi Pontianak using data collected through interviews, observations, and questionnaires. The analysis incorporated multiple frameworks, including the Balanced Scorecard, PEST, Porter’s Five Forces, SWOT, and Critical Success Factors. The results produced integrated IS/IT strategies that align organizational goals with sustainability principles, including the development of information systems, environmentally oriented IT infrastructure, and governance mechanisms that support green IT implementation. The findings indicate that integrating green IT into IS/IT strategic planning can enhance operational effectiveness while contributing to environmental sustainability. This study contributes by extending the Ward and Peppard framework through the explicit incorporation of environmental sustainability as a strategic dimension, providing a practical and replicable model for higher education institutions pursuing sustainable digital transformation.
Co-Authors 'Asyarina Ramadhani, Salisa Alghifari, Hamzah Andre Rabiula Dasrinal Tessal Dewi Triantini Febriliyan Samopa Fikri , Muhammad Khalis Fikri Muhammad , Khalis Fikri Jefri Marzal Khalis Fikri, Muhammad Malik, Zeeshan Hamid Mishi , Salmuna Sajjad Pamungkas, Tiara Deta Pujiono, Agung Ramadhani, Salisa 'Asyarina Sajjad Mishi, Salmuna Saputra , Angga Riyan Trio Yandi Anzari