Article Per Year (5 Year)
p-Index From 2021 - 2026
3.397
P-Index
This Author published in this journals
All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Journal of Economic, Bussines and Accounting (COSTING) Jurnal Riset Informatika JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal ICT : Information Communication & Technology Community Empowerment Reputasi: Jurnal Rekayasa Perangkat Lunak Conten : Computer and Network Technology Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Penamas: Journal of Community Service Jurnal Indonesia Sosial Teknologi Jurnal Pengabdian Masyarakat Bangsa Jurnal Teknoinfo
Gunawan Budi Sulistyo
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
A HOLISTIC AI-DRIVEN ENERGY-EFFICIENT IOT FRAMEWORK FOR SMART AGRICULTURE USING MULTI-RESOURCE OPTIMIZATION Gunawan Budi Sulistyo; Nani Purwati; Tri Wahyudi; Noor Hasan
Jurnal Riset Informatika Vol. 8 No. 3 (2026): Juni 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i3.525

Abstract

The rapid adoption of Internet of Things (IoT) technologies has accelerated the development of smart agriculture systems. However, existing studies predominantly focus on single-resource optimization and lack integrated artificial intelligence (AI) approaches within distributed architectures, resulting in suboptimal system-wide performance. This study proposes an AI-driven energy-efficient IoT framework that integrates the Random Forest algorithm with an edge–fog–cloud computing architecture to enable holistic multi-resource optimization. A quantitative simulation-based approach was employed using soil moisture data from the NASA SMAP dataset, with a case study in Magelang, Indonesia. The system was evaluated using key performance metrics, including energy consumption, network latency, packet delivery ratio (PDR), and water usage efficiency. The results demonstrate significant improvements, including a 28.65% reduction in energy consumption, a 31.43% decrease in latency, an increase in PDR to 96.8%, and a 20.3% improvement in water usage efficiency. Statistical validation confirms that these improvements are significant (p < 0.05). The main contribution of this study lies in the development of a holistic AI-driven IoT framework that simultaneously optimizes energy, water, computation, and communication without trade-offs. The proposed approach offers a scalable, adaptive, and efficient solution for real-world smart agriculture systems.
Co-Authors - UBSI Yogyakarta, Linda Saputri Adjie, Bayu Kresna Akhmad Syukron Anggraeni Sari Rumpoko Artatik, Finayusli Andriani Atabi, Kuffi Bayu Kresna Adjie Candra Agustina eka rahmawati Elly Muningsih Fauzi, Muhammad Naufal Zul Fransisca Heny Widayati UBSI Kuwwamri, Sawwara Lina Ayu Safitri Marcha Putty Kusumaning Tyas - Universitas Bina Sarana Informatika Miftahul Luthfi Muhammad Naufal Zul Fauzi Nani Purwati Noor Hasan Noor Hasan Noor Hasan Pudji Widodo Pudji Widodo Reza Ardianto Sardiarinto Sardiarinto Sri Kiswati Tri Wahyudi Tri Wahyudi Tri Wahyudi