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Aditya Akbar Riadi
Universitas Muria Kudus
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Neuroscience Social Sciences Transportation

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Classification of Rice Leaf Diseases Using Support Vector Machine with HSV and GLCM-Based Feature Extraction Ramli, Rizal; Evanita, Evanita; Akbar Riadi, Aditya
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10403

Abstract

This study aims to classify rice leaf diseases using the Support Vector Machine (SVM) algorithm based on image processing and feature extraction. A total of 600 rice leaf images were collected, each representing one of five disease types: bacterial blight, leaf smut, leaf blast, brown spot, and hispa. The images underwent preprocessing, including resizing, background removal, and feature extraction using HSV and GLCM methods. Extracted features were then used to train and test an SVM classification model. The evaluation using confusion matrix showed an overall accuracy of 83%, with class-specific F1-scores ranging from 0.72 to 0.90. These results indicate that SVM is effective in classifying rice leaf diseases and can potentially assist farmers in early disease detection to reduce crop loss.
Co-Authors A, Ifta Abdul Abdullah, Khabib Ahmad Abdul Chamid Ahmad Lutfi Hakim Akh Sokhibi Alif Catur Murti, Alif Catur Aminatus Syarifah Arief Susanto Azami, Farich Al Darsilowati Darsilowati Dicky Prasetiyo Durrun Nada Amarylis Dwimaelani, Riska Dwyan Akbar Putra Esti Wijayanti Esti Wijayanti, Esti Evanita Evanita Evanita, Evanita Evanita, E Fadhilah, Norma Farich Al Azami Farichah, Ainul Fera Anggraini Fistiana Fistiana, Fera Anggraini Gabriel Dwiki Ari Permadani Gunawan, Bagus Suseto Hanik Hidayati Ifta Abdul A Indra Lina Putra Ivan Bagus Prasetiyo Khabib Abdullah Khilmawan, Muhammad Rizqi Khoirun Nisa', Nining Khusna, Nor Milatul Mahendra, Vicki Yuda Maulana Aditya Yusman Megatama, Christian Yoga Muhammad Imam Ghozali Murniawati, Mita Ningrum, Diah Ayu Cahya Oktavianus, Yohanes Pegianti, Nanda` Prasetiyo, Dicky Prasetyo, Herlambang Dwi Putra Aprilian Prastianing Huda Riasti, Savira Rizal Ramli, Rizal Rizkysari Meimaharani Salsabila, Karima Saputra, Andre Tri Sari, Fadia Karlika Shofiana, Arista Sokhibi, Akh Sokhibi, Akh Sugiarto, Elmalia Risma Putri Sugiharto, Wibowo Harry Sukmawati, Zesiy Risna Dewi Syirojuddin, Ahmad Idris Syukron, Muhammad Habib Tri Listyorini UMAM, MUHAMAD KHOTIBUL Vera Meirotun Hidayatika Vicki Yuda Mahendra Yehezkiel Febri Kurniawan Yuliana Fitriani