Open AccessTEGAR: Tempe Freshness Determination on Mobile Application
Author(s) -
Afian Aziz Permana,
Analekta Tiara Perdana,
Rifqi Riadhi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1844/1/012022
Subject(s) - tempe , food science , chemistry
This research proposes Tempe Segar ‘TEGAR’ as mobile application for freshness determination of tempe based on tempe image on the Android operating system. Three kinds of freshness, including very good, good and not good were used to categorized tempe freshness. In this research, we used 50 tempe samples that were consisted of 25 tempe with plastic wrap and 25 tempe with leaf wrap. Tempe image was taken using mobile phone camera as digital tempe image then extracted using Local Binary Pattern (LBP). Detection accuracy and consumer satisfaction of TEGAR application were evaluated using questionnaire. The evaluation results show that TEGAR application is promising application to determine tempe freshness. TEGAR application will help consumer to determine tempe freshness as an important indicator of good quality tempe. The freshness of food directly or indirectly will affect the health of consumer.