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Anisah Mega Andini
Jurusan Akuakultur, Fakultas Pertanian, Perikanan dan Biologi, Universitas Bangka Belitung
Physics

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PEMANFAATAN EKSTRAK UBI UNGU SEBAGAI INDIKATOR LABEL DALAM PEMANTAUAN KESEGARAN UDANG MENGUNAKAN NEURAL NETWORK Siswoyo Siswoyo; Anisah Mega Andini; Dea Amelia; Aisyah Deri Ayu Tungga Safitri; Yuant Tiandho
JOURNAL ONLINE OF PHYSICS Vol. 7 No. 1 (2021): JOP (Journal Online of Physics) Vol 7 No 1
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v7i1.14500

Abstract

The main weakness in shrimp marketing is the perishable food nature of shrimp. Generally, people identify the freshness of shrimp by direct observation. However, it will be difficult to detect the freshness of shrimp if it is marketed in a closed container. In this study, a label indicator of purple sweet potato will be made to detect the freshness of shrimp. The increase in the efficiency of indicator readings is carried out using a neural network algorithm. The results of the sensitivity test showed that the label indicator of purple sweet potato extract was sensitive to the presence of ammonia.Through a comparison between the storage time of shrimp and the organoleptic quality of shrimp, it is known that the quality of shrimp is divided into four classes, namely: (i) "Very fresh" marked with a solid red color (ii) "Fresh marked with a deep blue color (iii) "not fresh marked with a dark red color. gray and (iv) “very unrefreshing marked with a faded brown color. Through label indicator image classification using a neural network algorithm, from 73 training data obtained an accuracy rate of 95.89% and a precision of 92%.
Co-Authors Aisyah Deri Ayu Tungga Safitri Dea Amelia Siswoyo Siswoyo Yuant Tiandho