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All Journal Jurnal Informatika dan Teknik Elektro Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Applied Engineering and Technology
Nugraha, Agil Zaidan
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Decision tree based algorithms for Indonesian Language Sign System (SIBI) recognition Nugraha, Agil Zaidan; Salsabila, Reni Fatrisna; Handayani, Anik Nur; Wibawa, Aji Prasetya; Hitipeuw, Emanuel; Arai, Kohei
Applied Engineering and Technology Vol 3, No 2 (2024): August 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i2.1536

Abstract

Indonesian Sign Language System (SIBI) recognition plays a crucial role in improving effective communication for individuals with hearing loss in Indonesia. To support automatic SIBI recognition, this research presents a performance analysis of two main algorithms, namely Decision Tree and C4.5, in the context of the SIBI recognition task. This research utilizes a rich SIBI dataset that includes a variety of SIBI signs used in everyday communication. Data pre-processing, model construction with both algorithms, and model performance evaluation using accuracy, precision, recall, and F1-score metrics are all part of the study. Regarding SIBI recognition accuracy, the experimental results demonstrate that the Decision Tree performs better than Decision Tree. The Decision Tree also makes models that are easier to understand, which is important for making communication systems based on SIBI.
PENGEMBANGAN SISTEM PEMBERSIH OTOMATIS DENGAN PENJADWALAN TERPROGRAM DALAM MENGOPTIMALKAN PENYERAPAN SINAR MATAHARI PADA PANEL SURYA Ihsan, Rifqi Al; -, Aripriharta; Gumilar, Langlang; -, Sujito; Nugraha, Agil Zaidan; Nikmah, Revalina Nazilatun
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6542

Abstract

Pembangkit Listrik Tenaga Surya (PLTS) adalah teknologi yang mengubah energi matahari menjadi listrik, namun sering mengalami penurunan efisiensi akibat penumpukan kotoran seperti debu pada permukaan panel. Pembersihan manual yang umum dilakukan berisiko tinggi terhadap keselamatan kerja, sehingga diperlukan solusi otomatis untuk meminimalkan risiko tersebut. Penelitian ini menganalisis pengaruh alat pembersih otomatis terhadap kinerja panel surya dengan membandingkan tegangan keluaran sebelum dan sesudah pembersihan, baik secara otomatis maupun manual. Hasil penelitian menunjukkan selisih tegangan antara panel kotor dan setelah dibersihkan alat sebesar 0,19 V (173 rpm), 0,15 V (85 rpm), dan 0,18 V (60 rpm), sementara selisih antara pembersihan alat dan manual sebesar 0,06 V (173 rpm) serta 0,04 V (85 rpm dan 60 rpm). Selain itu, daya panel saat stand by tercatat 1,9695 W, sedangkan saat alat bekerja meningkat signifikan menjadi 12,7108 W (173 rpm). Temuan ini membuktikan bahwa alat pembersih otomatis tidak hanya efektif dalam meningkatkan efisiensi panel surya tetapi juga lebih aman dibandingkan metode manual. Dengan demikian, penggunaan alat ini dapat menjadi solusi berkelanjutan untuk perawatan PLTS, khususnya di daerah dengan potensi debu tinggi seperti kawasan Timur Tengah. Penelitian ini memberikan kontribusi penting dalam pengembangan teknologi pembersihan panel surya yang efisien dan aman. 
Multi-objective MPPT Optimisation for PV System Using QHBM Algorithm in Madura Island Nugraha, Agil Zaidan; Aripriharta; Handayani, Anik Nur
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 4, November 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i4.2337

Abstract

This study presents the application of the Queen Honey Bee Migration (QHBM) algorithm, for Maximum Power Point Tracking (MPPT) in an off-grid photovoltaic (PV) system on Madura Island. Implemented in Python, QHBM optimizes a 3.3 kW PV array (six polycrystalline silicon panels, 550 W each, configured in 2-series and 3-parallel) under tropical conditions (irradiation: 860–970 W/m², temperature: 26–30°C) using data from the East Java BMKG Trunojoyo Meteorological Station. QHBM’s multi-objective optimization balances power conversion efficiency (95.0–99.1%), power quality (THD < 4.5%), and component longevity (current ripple: 3.1–3.2 A), outperforming Perturb and Observe (P&O: 78% efficiency under low irradiation and 34% under partial shading) and Particle Swarm Optimization (PSO: 85% and 88%). Trade-offs are managed by minimizing ripple-induced thermal stress (10–15% lower than P&O) and achieving rapid convergence (0–3 ms vs. 300–500 ms for PSO), ensuring reliability in Madura’s dynamic climate. The system, integrated with a single-phase full-bridge inverter (96% efficiency), delivers a consistent daily energy output of 14,941.87 Wh (SD ±267.45 Wh) and reduces CO2 emissions by 118.49 kgCO2e annually. QHBM was chosen over P&O and PSO for its superior efficiency, faster response, and robustness under partial shading and noisy irradiation (±10% variations), offering a scalable solution for sustainable electrification in Indonesia’s archipelagic regions.
Co-Authors Aji Prasetya Wibawa Anik Nur Handayani Aripriharta - Hitipeuw, Emanuel Ihsan, Rifqi Al Kohei Arai Langlang Gumilar Nikmah, Revalina Nazilatun Salsabila, Reni Fatrisna Sujito -