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Darnita, Yulia
Universitas Muhammadiyah Bengkulu
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

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Automated Classification of Mungkus Fish Freshness Based on Eye and Gill Images Using the Naive Bayes Algorithm Darnita, Yulia; Toyib, Rozali; Sonita, Anisya; Putra, Andika
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5146

Abstract

The problem of assessing the freshness of fish, especially Mungkus fish, is usually directed at several physical indicators, such as eye appearance, gill condition, meat quality, and odor. This traditional method is often considered inaccurate and requires certain expertise, therefore a more effective and objective method is needed to assess the freshness level of Mungkus fish, which in turn can provide benefits for both fishermen and the public in general. The solution to this problem by using the Naïve Bayes method in classifying the freshness level of Mungkus fish based on eye and gill images has proven to be a fairly efficient approach. The Naïve Bayes method itself is a simple but very effective algorithm in the field of machine learning, and operates based on Bayes' Theorem with the assumption that features are independent of each other. This method can be applied in the initial stage of classification by utilizing basic features taken from images of fish eyes and gills. Based on testing 30 new data sets, the clustering system demonstrated an accuracy rate of 66.67%, indicating that 20 data sets were correctly classified according to their actual conditions. On the other hand, 10 data sets, or 33.33%, could not be categorized correctly. Of the 30 old data sets tested, the system was able to correctly classify 19 (63.33%), while 11 (36.67%) still had errors in their classification predictions. Overall, the system successfully performed data clustering with 65% accuracy, with the remaining 35% still showing errors in the classification process.  
Co-Authors -, Rozali Toyib Abdurrasyid, Fakhri Achmad Nurcholis, Ivan Adinda Trisista Agusdi Syafrizal, Agusdi Aldino Discrise Amandika, Rama Andi Prasetio Rozali Toyib Andika Putra Andrian Kuor Nando Apridiansyah, Yovi Ardi wijaya ARDIANSYAH ARDIANSYAH Arif Triyandi, Muhammad Arisandi, Vini Aulia, Nica Aviantoro, Kevin Beni Juanda Dandi Sunardi dany Adhi wibowo David Maria Veronika, Nuri Dedy Abdullah Dedy Prabowo della, Putri Rahma Della Deslianti, Dwita Deva, Alba Ragil Sutra Diana Diana Diana Diana Diatama, Pradika Egia Apriansyah Elviani, Elviani Fajri Sepriansyah, Muhammad Fitri Lestari, Fitri Fransisco, Nochi Erfindo Gilang Nurva Wijaya Gilang Pamungkas, Habib Gunawan Gunawan Gunawan Gunawan Handayani, Sri Hanif, Patri Harry Witriyono Harry Witriyono Witriyono Hendri Wibowo, Sastya Hendri, Sastya Hesti Lestari hidayah, agung kharisma Hidayat, Muhammad Husni Husni Mubarak Imanullah, Muhammad Jandri M.Siban Jaya Saputera, Juwanda Jestika Safitri Juanda, Beni Khairullah Khairullah, Khairullah Khairunnisyah, Khairunnisyah Khakim, Ahmad Nuril Kharisma , Agung Kristian Herianto, Agib Kristika Meza Werda Kurnia Padila M. Imanullah, M. Imanullah Mahfuzhi, A.R Walad Mahfuzhi, A.R. Walad Mahfuzhi Marga Handayani, Kurnia Marhalim marhalim, marhalim Maria Veronika, Nuri David Muhammad Rizky Tara Muntahana, Muntahana Muntahanah Muntahanah Muntahanah, Muntahanah Nadila, Syalsa Nanda Febriana Nica Aulia Novrialdi, Tito Nur'aini, Shandra Nuri David Maria Veronica Onsardi, Onsardi Padila, Kurnia Pahrizal, Pahrizal Pitriyo, Ari Pradika Diatama Putra Andika, Febby Putra, Adeyansyah Putra, Erwin Dwik Putra, Wahyu Dharma Putra, Yebri Putra, Yonaldo Rifqo, M. Husni Rinaldi Rinaldi Riri Rumbiyiani Ristontowi Rizki Hidayat Rohanan Yusuf Rojali Toyib Rozali Toyib safitri, melinia Sahputry, Feby Ayu Salmidah, Tasya Rufaidah Sanjaya, Dimas Ari Sastia Hendri Wibowo Sastya H Wibowo Sastya Hendri Wibowo Sastya Wibowo Sonita, Anisa Sonita, Anisya Sugianto, Melani Sundari, Weti Surya Ade Saputera Tanjung, Rahman Fadli Tara, Muhammad Rizky Tasya Rufaidah Tito Novrialdi Toyib, Rozali Wahyu Nugroho wibowo, dany Adhi Wibowo, Sastia Hendri Wijaya, Ardi Wilio Papian Witriyono, Harry Yayang Kurniawan Yebri Putra Yogi Pranata Yonaldo Putra Yulia Darmi Yulia Rahmi Yunika, Astri Yutya Maydila Yuza Reswan Zen, Wildo