Application Of Artificial Neural Network In Coffee Roasting Process

Susanti , Roza and Aidha, Zas Ressy and Miswar, Trisno (2017) Application Of Artificial Neural Network In Coffee Roasting Process. International Conference of Applied Science on Engineering, Business, Linguistics and Information Technology . pp. 69-77. ISSN 2598-2532



The temperature setting of roasting to the color of coffee beans aims to obtain coffee quality with water content according to SNI standards. Temperature settings to obtain a standard water grade value in the roasting process of robusta coffee beans using temperature sensors and MC. Monitoring temperatures in robusta coffee beans to get the appropriate grain color, the result of the coffee bean image then processed with Delphi7 program to get the RGB value. Proper temperature setting in the roasting process determines the quality of a robusta coffee powder that produces the typical aroma, color and flavor of coffee according to the standard. Circuit testing is done with LabVIEW software as virtual instrumentation as well as analysis of roasting result using Atifisial Neural Network method or reverse propagation JST, is a complex process modeling.

Item Type:Article
Subjects:G Technology > GI Electrical engineering. Electronics Nuclear engineering
G Technology > GM Information Technology
Divisions:Luar PNP > Journal, Proceeding
ID Code:752
Deposited By:Rahmat Hidayat
Deposited On:27 Nov 2017 10:12
Last Modified:20 Dec 2018 08:46

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