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All Journal Jurnal Teknik Indonesia Breakthroughs Information Technology
Nur Karsa, Aldo Hermaya Aditiya
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Transportation

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Perbandingan Performa Panel Surya Monokristalin Dan Polikristalin Di Iklim Tropis Indonesia Nur Karsa, Aldo Hermaya Aditiya
Jurnal Teknik Indonesia Vol. 3 No. 4 (2024): Jurnal Teknik Indonesia
Publisher : Publica Scientific Solution

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Abstract

Energi surya merupakan salah satu solusi terbarukan yang potensial untuk mengurangi ketergantungan terhadap energi fosil. Indonesia, sebagai negara tropis, memiliki potensi besar dalam pemanfaatan energi surya. Namun, performa dua jenis panel surya utama, yaitu monokristalin dan polikristalin, di iklim tropis Indonesia masih belum banyak dibahas secara komprehensif. Meskipun kedua jenis panel surya sering digunakan, faktor suhu dan kelembaban tinggi di iklim tropis dapat mempengaruhi efisiensi konversi energi mereka. Penelitian ini bertujuan untuk membandingkan performa panel surya monokristalin dan polikristalin dalam kondisi iklim tropis Indonesia, dengan fokus pada efisiensi konversi energi, daya tahan terhadap suhu dan kelembaban, serta biaya operasional jangka panjang.Penelitian ini menggunakan metode eksperimen komparatif dengan pengukuran langsung di lapangan. Panel surya monokristalin dan polikristalin dipasang di dua lokasi dengan iklim tropis di Indonesia (Jakarta dan Bali). Data yang dikumpulkan meliputi intensitas cahaya, suhu, kelembaban, dan output daya panel surya, yang kemudian dianalisis menggunakan statistik deskriptif, uji t, dan analisis regresi. Hasil penelitian menunjukkan bahwa panel monokristalin memiliki efisiensi yang lebih tinggi dalam intensitas cahaya tinggi, namun lebih rentan terhadap suhu tinggi. Sebaliknya, panel polikristalin menunjukkan kinerja yang lebih stabil di suhu tinggi dan kelembaban tinggi meskipun dengan efisiensi yang sedikit lebih rendah.
AI for Sustainability: Bibliometric Review of Power-Saving Algorithms in IoT and Edge Systems Nur Karsa, Aldo Hermaya Aditiya
Breakthroughs Information Technology Vol 1 No 1 (2025)
Publisher : Generate Digital Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70764/gdpu-bit.2025.1(1)-04

Abstract

Objective: This research aims to explore the global trends, challenges, and future opportunities in the development of energy-efficient AI technology in the context of IoT, edge computing, and its potential to synergize with quantum computing. Research Design & Methods: This study uses a bibliometric-based systematic literature review approach to 113 documents from the Scopus database published in the 2021-2025 period. The analysis used VOSviewer to map keyword co-occurrence, collaboration between countries, topic trends, and citations. Findings: The research focus is expanding from basic topics of power efficiency to integrating AI with edge systems, adaptive communication protocols (such as BLE and LoRaWAN), and ML-based predictive models for smart home and agriculture. Countries like China, the United States, and India are central to global collaboration. The research also revealed the lack of studies on integrating quantum-inspired optimization in energy-efficient AI edge architectures. Implications & Recommendations: The findings indicate that further research directions are needed in the development of adaptive, efficient, and environmentally friendly AI architectures and that strengthening collaboration between countries is important. This research also supports strategies for developing low-emission and power-efficient digital technologies to support the global sustainability agenda. Contribution & Value Added: This research provides an important contribution in the form of current literature mapping and a scientific synthesis framework to formulate a research agenda and policy for sustainable AI technology in IoT and edge computing systems.
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