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All Journal TEKNIK INFORMATIKA Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah FIFO Akuntabel : Jurnal Ekonomi dan Keuangan Jurnal Sisfokom (Sistem Informasi dan Komputer) Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Jurnal Algoritma, Logika dan Komputasi Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Telematika MKOM Media Abdimas Journal Collabits JURNAL ILMIAH SATYA NEGARA INDONESIA
Sari, Yunita Sartika
Program Studi Sistem Informasi, Fakultas Ilmu Komputer Universitas Mercu Buana
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : TEKNIK INFORMATIKA

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VARFIS: A Hybrid Neuro-Fuzzy Model for Intelligent Microclimate Control in Black Soldier Fly Farming Systems Yunita Sartika Sari; Kusrini; Ema Utami; Ferry Wahyu Wibowo
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46610

Abstract

Maintaining optimal microclimate conditions is essential for Black Soldier Fly (BSF) cultivation, yet traditional systems often struggle with dynamic environmental changes. This study proposes the Vector Autoregressive-Fuzzy Inference System (VARFIS), a hybrid model combining Vector Autoregression (VAR) and Adaptive Neuro-Fuzzy Inference System (ANFIS), to enhance temperature and humidity control in BSF insectariums. VARFIS adapts to uncertainty using probabilistic learning, achieving a 48% reduction in prediction error (MAPE = 1.36%) and high accuracy (R² = 0.9695), outperforming standalone VAR and ANFIS models. The model effectively captures daily climate fluctuations, improving larval growth efficiency and waste conversion. However, it remains limited in handling extreme events such as sudden heatwaves or humidity spikes, indicating the need for enhancements like adaptive fuzzy rule tuning and integration of physical constraints. VARFIS presents a scalable solution for intelligent microclimate management, supporting sustainable insect farming and circular economy goals. This work contributes to precision agriculture by offering data-driven tools for resilient environmental control.
Co-Authors Ardi Cahyadi Yudistira Ayu Oktaviani, Ayu Bagus Priambodo Deny Friyansyah Djahidin, Danny Yudin Ema Utami Fadli Fairuz Ramadhan Ferry Wahyu Wibowo Firdaus, Yaumil Fitriana Hapsari, Indah Hadi Santoso Hidayat, Rahmat Rian Ibrahim, Maulana Ika Agustina Imaman, Rahardian Aulia Inge Handriani, Inge Irma Hamidah Nasution Jumaryadi, Yuwan Kaburuan, Emil Robert Kristanto, Dedy KUSRINI Kusumaningsih, Dewi Lukman Hakim Misbahul Fajri muhamad nashar Muhammad Nashar Nia Rahma Kurnianda Nia Rahma Kurnianda, Nia Rahma Nicolaus Pramono Hardosubroto Nurjanah, Amelia Purnama, Nurlela Rahmah, Nia Ratna Mutu Manikam Setiawan, Fredi Wellhard Halomoan Simamora Yudo Devianto