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Yuant Tiandho
Universitas Bangka Belitung
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Journal : Sinergi

 1 
MELASTOMA MALABATHRICUM L. EXTRACTS-BASED INDICATOR FOR MONITORING SHRIMP FRESHNESS INTEGRATED WITH CLASSIFICATION TECHNOLOGY USING NEAREST NEIGHBOURS ALGORITHM Aliefia Noor; Evi J.; Aisyah D. A. T. Safitri; Mustari Mustari; Yuant Tiandho
SINERGI Vol 25, No 1 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.1.009

Abstract

As a maritime country, shrimp commodity production in Indonesia is very high and continues to increase. However, because shrimp is a perishable food, we need a detection device. This is because conventional methods that are widely used by the community in detecting freshness of shrimp are only based on the smell. Of course, this is a problem when shrimp are packed in closed containers. In this paper, a method for detecting shrimp is proposed using the Melastoma malabathricum L. - based label indicator. The high content of flavonoids in the extracts allows the changing the colour of the label from red to grey due to the interaction between the label with the OH- group that arises from the shrimp spoilage process. The colour that appears on the label indicator will correlate with the level of shrimp freshness. By increasing detection effectiveness, the classification is performed using the nearest-neighbours algorithm, which is equipped with an image processing mechanism in the form of colour quantization. There are four classifications used to express the quality of shrimp, namely "acceptable," "just acceptable," "unacceptable," and "more unacceptable." The accuracy of applying this method is 71.9%, with the majority of detection errors occurring in the "acceptable" class. Based on these results, it can be stated that the label indicators prepared in this study are very promising to be developed into intelligent packaging components.
Co-Authors Ahmad Fahrul Syarif Aisyah D. A. T. Safitri Aisyah D.A.T. Safitri Aisyah Deri Ayu Tungga Safitri Aliefia Noor Aliefia Noor Aliefia Noor Aliefia Noor Andi Gustomi Andrian Saputra Andrian Saputra Anggia, Suci Dwi Anisa Indriawati Anisah Mega Andini Asep Saefullah Asep Saefullah Awaliyah, Umi Dea Amelia Deden Nurdandi Diana Ayu Rostikawati Diana Novita Sari Diana Novita Sari Diana Novita Sari, Diana Novita Eri Gusnia Evi J Evi J Evi J Evi J. Evi.J Evi.J Faradis, Syuraya Fenni Vavionita Fitri Afriani Gusnia, Eri Hamdini, Meri Herman Aldila Indra Pardede Isabela, Jennikita J, Evi J., Evi Kristina, Yulietta Lingga, Rahmad M. Yonggi Puriza Mahjur Mahjur Marlina Marlina Maryana, Okky Megiyo Megiyo Meri Hamdini Muhammad B Hariyono Muhammad David Ramadhon Mustari Mustari Mustari Mustari Mustari Mustari Mustari Mustari Mustari Mustari Naswanto, Sekar Kinanti Ramadhini Ningrum, Choirunnisa Dwi Ayu Nizar, Ahlun Noor, Aliefia Nurdandi, Deden Patilawati, Pariza Pratama, Erick Aryana Purwati Purwati Putra, Alfryan Maulana Rafsanjani, Rifqi Almusawi Rahmad Lingga Ramadina, Salsabila Redi Randika Rifqi A. Rafsanjani Rifqi Almusawi Rafsanjani Rifqi Almusawi Rafsanjani Rifqi Almusawi Rafsanjani Rika Favoria Gusa Robin Robin Safitri, Aisyah D. A. T. Salsabila Ramadina Sandi Sandi Sari, Prada Siswoyo Siswoyo Susanti Susanti Tri Kusmita Umi Alawiyah Umi Awaliyah vavionita, Fenni Wahri Sunanda Widodo B. Kurniawan Widodo Budi Kurniawan Wulandari, Rossariana Yekti Widyaningrum Yekti Widyaningrum Zaitun