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All Journal INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics KOMPUTIKA - Jurnal Sistem Komputer Bubungan Tinggi: Jurnal Pengabdian Masyarakat Prosiding Konferensi Nasional PKM-CSR JISTECH: Journal of Information Science and Technology
Nova El Maidah
Universitas Jember
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Nursing Public Health Social Sciences Other

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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 Nova El Maidah; Christian Dwi Suhendra
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 Achmad Maududie Agfianto Eko Putra Alanfansyah Ghozy Santoso Christian Dwi Suhendra DINI KURNIAWATI Erika Neferia Laurentina Furqon, Muhammad Ariful Hanny Rasni Hardja, Ivan Haris Rafi Ivan Hardja Komaria, Vida Kukuh Tri Winarno N Kurniawan Dwi Yulianto M. Sadid Tafsirul Hadi MHD. Reza M.I. Pulungan Mochammad Febri Hariyadi Noni Namida Oliviani Panggih Pawenang Priza Pandunata Rizky Berlia Oktaviandi S Slamin Yanuar Nurdiansyah