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All Journal Jurnal Simetris Kompak : Jurnal Ilmiah Komputerisasi Akuntansi JURNAL MEDIA INFORMATIKA BUDIDARMA INOVTEK Polbeng - Seri Informatika Jurnal Komtika (Komputasi dan Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Go Infotech: Jurnal Ilmiah STMIK AUB International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Informatika Ekonomi Bisnis Jatilima : Jurnal Multimedia Dan Teknologi Informasi Budimas : Jurnal Pengabdian Masyarakat International Journal of Advances in Data and Information Systems Jurnal Abdidas Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat INFORMATIKA Digital Transformation Technology (Digitech) JURNAL AKUNTANSI DAN BISNIS Jurnal Manajemen Informatika & Teknologi Community: Jurnal Pengabdian Pada Masyarakat Jurnal Informatika Ekonomi Bisnis SmartComp Journal of Technology Informatics and Engineering Jurnal Ilmiah Sistem Informasi Journal of Computer Science and Information Technology International Journal of Information Engineering and Science Jurnal Ilmiah Informatika dan Komputer Go Infotech: Jurnal Ilmiah STMIK AUB Jurnal Komtika (Komputasi dan Informatika) Jurnal Informatika Dan Tekonologi Komputer Journal of Engineering, Electrical and Informatics Jurnal Publikasi Ilmu Komputer dan Multimedia Software Engineering in Computing Systems
Agustinus Budi Santoso
Universitas Sains Dan Teknologi Komputer
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : journal of technology informatics and engineering

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Optimizing AI Performance in Industry: A Hybrid Computing Architecture Approach Based on Big Data Dewi, Maya Utami; Santoso, Lukman; Santoso, Agustinus Budi
Journal of Technology Informatics and Engineering Vol. 3 No. 3 (2024): December (Special Issue: Big Data Analytics) | JTIE: Journal of Technology Info
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i3.201

Abstract

In the era of Industry 4.0, integrating artificial intelligence (AI) and big data analytics in the industrial sector demands high-performance computing infrastructure to handle increasingly complex and voluminous datasets. This study investigates the optimization of AI performance by implementing a hybrid computing architecture, integrating CPUs, GPUs, FPGAs, and edge-cloud computing. The research aims to enhance processing speed, model accuracy, and energy efficiency, addressing the limitations of standalone computing systems. A quantitative methodology was employed, using over 1 TB of industrial data from IoT sensors and production logs. A hybrid architecture was implemented with dynamic workload scheduling to distribute tasks efficiently across computational components. Performance metrics included processing time, model accuracy, energy consumption, and cost analysis. Results demonstrated that hybrid architectures significantly improved performance: the CPU-GPU combination reduced processing times to 650 ms, increased model accuracy to 88.3%, and achieved an energy consumption of 2.1 kWh. Meanwhile, the CPU-FPGA configuration, while slightly less accurate (87.5%), proved more energy-efficient at 1.3 kWh. AI models developed using hybrid systems exhibited superior predictive accuracy, with Mean Squared Error (MSE) as low as 0.0248 and R² of 0.91. The study concludes that hybrid computing architecture is a transformative approach for optimizing AI systems in industrial applications, balancing speed, accuracy, and energy efficiency. These findings provide actionable insights for industries aiming to leverage advanced computing technologies for improved operational efficiency and sustainability. Future research should focus on advanced workload scheduling and cost-effectiveness strategies to maximize the potential of hybrid systems.
Co-Authors Adika Matew Usmani Adriana, Myra Afriandi, Galih Agus Priyadi Ahmad Ashifuddin Aqham Ahmad Zainudin Ahmad Zainudin Aldian Umbu Tamu Ama Andik Prakasa Hadi Andriana, Myra Arta Armilda, Siska Barreto, Cesario Bayu Anggoro Tirta Kencana Big Greogory Kaitelapatay Budi Santoso Budi Santoso Charliany Hetharia Danang Danang Daniel Rudjiono Dewi Widyaningsih Dina Siska Rahmawati Dwi Setiawan Edwin Zusrony Edy Jogatama Purhita Edy Siswanto Eko Siswanto Endang Kustami Febryantahanuji Febryantahanuji Ferdinandus, Wiesje Frenny Silvia Pormes Galih Afriandi Greget Widhiati Haryo Kusumo Hendriyani, Ida Hetharia, Charliany Ida Hendriyani Imaliya, Tri Indra Ava Dianta Iriene Surya Rajagukguk Ivan Permana Jarot Dian Susatyono Jeni Karay Jentoro Wicaksono Jihan Syarifudin Juriyanto Kaitelapatay, Big Greogory Kaitelapatay, S.Kom., M.Kom., Big Greogory Karay, Jeni Komansilan, Reinhard Kristy Isnaningtyas Kuncoro, Wreda Agung Kusumajaya, Robby Andika Kusumaningtyas, Dhevi Dadi Kusumo, Haryo Lina, Tirsa Nina Lukman Santoso Lutfi Anggraini Luthfy Purnanta Anzie Magriyanti, Arie Atwa Matheus Supriyanto Rumetna Maulan, Puteri Anindya Maya Utami Dewi Maya Utami Dewi Maya Utami Dewi Maya Utami Dewi, Maya Utami Muh Sabiq Muhammad Farhat Attalarik Muhammad Hanan Majid Myra Andriana Nugrahanning Esa Pratiwi Nurindriani, Atiek Permana, Ivan Priyadi Priyadi Puteri Anindya Maulan Raden Mohamad Herdian Bhakti Reinhard Komansilan Reni Veliyanti Robiatul Adawiyah Roro Dita Hapsari S Siswanto Saflesa, Susance Sagara, Frans Sherly Dwi Ditzi Savitri Sindhu Rakasiwi Siswanto Siswanto Siti Kholifah Suprapti Syahri al faiz Tantik Sumarlin . Tirsa Ninia Lina Wicaksono, Jentoro Widya Ariyani Yuli Fitrianto