Standardizing the fish freshness class during ice storage using clustering approach

Prasetyo, Eko and Suciati, Nanik and Fatichah, Chastine and Aminin, Aminin and Pardede, Eric Standardizing the fish freshness class during ice storage using clustering approach. Ecological Informatics, 80 (102533). pp. 1-12. ISSN 1574-9541

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Abstract

The freshness of fish before consumption affects the taste of the food and human health, so many parties should consider it carefully. Fish is usually stored on ice to maintain its freshness. However, there has yet to be a standard for the fish freshness class during ice storage. On the other hand, each fish species has a different vigor in retaining freshness. In this research, we propose (1) a dataset of fish freshness inspection generated from daily inspection during ice storage for 11 days, (2) a standard of the freshness class of seven fish species using clus�tering, and (3) a framework for automatically determining the freshness class of fish with internal validation. The dataset is generated from daily inspection during ice storage for 11 days. Experts conduct the organoleptic in�spection using six parameters according to the SNI 2729–2013 standards: eyes, gills, body surface mucus, meat, smell, and body textures. We experimented with six clustering methods on the dataset to obtain freshness clusters automatically. Our experimental results indicate that most species fall into two freshness categories, but Upeneus Moluccensis stands out by being classified into three distinct classes. Each species achieves a different number of days for each freshness class. K-Means and K-Means++ obtained the best freshness group with mean scores of 0.538 and 21.92 for Silhouette and Calinski-Harabasz, respectively. Therefore, the standardization of fish freshness class during ice storage for 11 days achieved satisfactory results and was acceptable as guidance and standard in freshness examination.

Item Type:	Article
Uncontrolled Keywords:	Freshness class standardization Fish Clustering Elbow method Organoleptic inspection
Subjects:	Technology
Divisions:	Faculty of Engineering
Depositing User:	Perpus Ubhara Surabaya
Date Deposited:	02 May 2024 05:47
Last Modified:	02 May 2024 05:47
URI:	http://eprints.ubhara.ac.id/id/eprint/2415

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