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Journal : International Journal of Advanced Science Computing and Engineering

Design and Development of a Coffe Blending Device with Carbon Monoxide (CO) Level Identification Based on Artificial Neural Networks Antonisfia, Yul; Susanti, Roza; Efendi; Anderson, Sir; Anisa, Fitri
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 3 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.3.171

Abstract

Coffee is categorized into three types Robusta, Arabica, and Liberica. The roasting process is the most crucial step in developing the aroma, flavor, and underlying color that determine coffee quality. The coffee roasting process produces complex aroma compounds that impart the desired taste and aroma characteristics of coffee. This research aims to design a coffee content detection tool by determining the carbon monoxide (CO) level in Arabica, Robusta, and Liberica coffee. The research uses the Backpropagation artificial neural network method with 2 hidden layers, including 4 input layers and 3 output layers, to identify the tested coffee varieties. The highest carbon monoxide (CO) levels were found in Arabica Special coffee, with an ADC level of 662 carbon monoxide gas. The lowest carbon monoxide (CO) levels were detected in Liberica coffee, with an ADC level of 105 carbon monoxide gas. Coffee identification was carried out using an artificial neural network method with a success rate of 98% for Liberica coffee, 100% for Arabica coffee, and 98% for Robusta coffee.
Identification of Ultraviolet (UV) Levels in the Caramelization Process of Sale Pisang Berlianti, Rahmi; Kurniadi, Dedi; Putri, Dian Permata; Alfitri, Nadia; Susanti, Roza; Mudia, Halim
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.196

Abstract

Sale pisang is a typical Indonesian food made from dried bananas. Usually, this drying is done by drying directly in the sun. Drying bananas in the sun is not very effective because it takes a long time and is very dependent on weather conditions. After innovation was made by making a dryer, sale pisang was produced which had a hard texture and low moisture content that affected the caramelization process. Therefore, a dryer is needed that can replace the drying process under the sun. One of the contents of sunlight is ultraviolet light. Irradiation of ultraviolet light, especially UVC light, can help shrink the cell wall of bananas so that the evaporation of water during drying is small. This study aims to identify good UV levels for the caramelization process to produce the same sale pisang as drying under the sun using 5 different treatments, namely, without UV lighting, 15 minutes irradiation, 30 minutes irradiation, 1-hour irradiation, and 2 hours irradiation. Irradiation for 15 minutes produces a water content of 11%, irradiation for 30 minutes produces a water content of 12%, irradiation for 1 hour produces a water content of 18%, and Sale pisang with irradiation for 2 hours produces a water content of 20%. Based on the texture analysis produced by irradiation for 1 hour produces a texture that is almost the same as drying directly under the sun.