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All Journal JISTECH: Journal of Information Science and Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING JATI (Jurnal Mahasiswa Teknik Informatika) The Indonesian Journal of Computer Science
Dwi Suhendra, Christian
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Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : JISTECH: Journal of Information Science and Technology

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Peningkatan Efisiensi Sistem Sortasi Matang Buah Kopi melalui Optimasi Berbasis Ultrasound dan Logika Fuzzy: Enhanced Efficiency of Coffee Fruit Ripe Sorting System through Ultrasound-based Optimization and Fuzzy Logic El Maidah, Nova; Dwi Suhendra, Christian
JISTECH: Journal of Information Science and Technology Vol 12 No 1 (2023): Vol. 12 No. 1 (2023): April 2023
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jistech.v12i1.218

Abstract

This research focuses on the development of a coffee fruit sorting system, which is a part of an embedded automation system for coffee processing and storage. The implementation of this system aims to improve and maintain the quality of coffee throughout the production and storage processes. The embedded automation system for coffee processing begins with the coffee fruit sorting system, which is responsible for selecting perfectly ripe and high-quality coffee fruits. Subsequently, the system proceeds with coffee bean production and storage processes. The developed system comprises small-scale subsystems capable of performing various coffee processing tasks. These subsystems can be integrated to form a larger system capable of handling coffee production and storage processes. The research utilizes software technology embedded in the hardware system. The employed software technology is a component of an intelligent control system, which utilizes artificial intelligence as its underlying control mechanism. The maturity classification of coffee fruits is divided into three classes: KM (immature), MM (mature), and MS (fully mature). This classification scheme simplifies the understanding of the sorting process.
Co-Authors El Maidah, Nova Maulidan, Farid Nofianti, Arin Ratna Juita Ratte, Yansi Sanglise, Marlinda Yertas Baisa, Lorna