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Journal : Journal of Information Systems and Technology Research

The Integration of HSV and GLCM Features with LDA for Classification of Breadfruit Maturity Levels Pratama, Hamdan; Khairina, Nurul; Novita, Nanda; Firdaus, Muhammad Huda; Rumapea, Yolanda Y.P.
Journal of Information Systems and Technology Research Vol. 5 No. 1 (2026): January 2026
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v5i1.1377

Abstract

Breadfruit is a perennial plant that has historically been distributed throughout Southeast Asia as a food source. Breadfruit that has entered the harvest period or has fallen on its own has several levels of maturity, namely raw, unripe, ripe, and rotten. Breadfruit that has been separated from the tree will have the same characteristics, namely green and slightly yellowish or brownish in colour. The research problem centres on the trouble buyers and sellers have when determining the maturity level of breadfruit. Based on this problem, the purpose of this study is to classify the maturity level of breadfruit using the LDA method. With image classification, it is hoped that the maturity level of breadfruit can be identified more accurately. The research gap in this study lies in the limited number of feature extraction methods used simultaneously, as well as the infrequent use of LDA methods for classification. In this study, Linear Discriminant Analysis is applied together with GLCM and HSV-based feature extraction. The LDA is a statistical method used for classification. LDA focuses on finding lines that separate two or more classes in a dataset by maximizing the distance between class averages and minimizing variance within classes. GLCM feature extraction is an image-processing technique used to evaluate texture. The contribution of this research lies in its improved classification performance and greater accuracy compared to previous studies. It offers a statistical description of how pairs of gray levels are distributed within an image, helping to reveal texture patterns and characteristics. The results of this study show that the classification of maturity levels in breadfruit images is good. This is measured by an accuracy of 89.9333%, precision of 90.1732%, recall of 89.3333%, and an F1-score of 89.7513%.
Co-Authors Absa, Munzir Adelin Australiati Saragih Al Kafi, Muhammad Harsya Amanda, Zhakia Putri Amir Saleh Ana Fitriana, Giriati Giriati, Barkah Barkah, Andaresta, Ocha Arie Kartika, Arie Arlin Maya Sari Aruan, Yessy Evita Leony Asmaya, Asmaya Asrita, Mutia Auliana, Auliana Buulolo, Donisman Damanik, Annisa Khaliza Darisma, Dian Deassy Siska Eliska, Eliska Elistiana, Veny Erna Listiana Fadhillah Azmi, Fadhillah Fadieny, Nurul Fajrul Wahdi Ginting Fajrul Wahdi Ginting, Fajrul Wahdi Fakhrah Fakhrah, Fakhrah Faradhillah, Faradhillah Fatwa, Islami Fibarzi, Wiza Ulfa Firdaus, Muhammad Huda Ginting, Dameria Br Ginting, Kalvin Hadiya, Izkar Halimatus Sakdiah Halimatus Sakdiah, Halimatus Hasudungan, Andre Herizal Herizal Humairah, Saidatul Idris, Syafrizal Imanda, Riska Jayawarsa, A.A. Ketut Junaida, Rini Hasna Kale, Oki Lubis, Raflidan Lumbantobing, Martin Makfirah , Husnul Marhami, Marhami Maryamah, Lu’lu’atul Masyitrah, Masyitrah Mellyzar, Mellyzar Muhammad Khahfi Zuhanda Muliani Muliani , Muliani Muliani Muliani, Muliani Mulyanis, Mulyanis Nafikah, Nara Nasution, Aulia Muflih Nazira, Nazla Khaira Ningsih, Welly Putri Noval, Nabila Novian, Zailani Nufus, Hikmah Nur'azizah, Nur'azizah Nurul Khairina Oviska, Astrid Pradana, Muhammad Rif’an Alfaudin Adi Pratama, Hamdan Pratiwi, Ildawati Febri Putri Diana Rafi’i, Muhammad Rahmadhani, Yeni Rahmati, Ulvi Rahmatillah, Syahri Rambe, Yunita Syafitri Ratna Unaida, Ratna Ratno, Suyit Retnowulan, Sri Rahayu Riza Andriani Rizki Muliono Rosari, Carviena Alia Rudi Salam Rumapea, Yolanda Y.P. Safriana Safriana Saifuddin Saifuddin Salman Alfarisi Saputra, Rahmat Sarah, Maita Satria , Habib Sinta, Mulia Siregar, Ali Andra Prasetyo Suendri Suendri, Suendri syafrizal Syafrizal Syafrizal Syarifah Rita Zahara Tulus Setiawan Ulfa, Rozatul Wahdi Ginting, Fajrul Wendy Widiantho, Yuri Widya Widya, Widya Yuan Anisa