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Zakaria, Hadi
Universitas Pamulang
Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Journal : Bulletin of Computer Science Research

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Klasifikasi Penyakit Jamur Pada Tanaman Tomat dengan Algoritma SVM Sri Rahayu, Eka; Anugrah Ade Purnama, Oktaviana; Zakaria, Hadi; Rosyani, Perani
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.515

Abstract

Diseases in tomato plants, such as mosaic virus and yellow leaf curl virus, can significantly reduce crop yields. Therefore, early detection based on artificial intelligence (AI) presents a strategic solution to improve the efficiency of plant disease identification. This study aims to develop and evaluate a classification model using Support Vector Machine (SVM) for the automatic and accurate detection of tomato leaf diseases. SVM is selected as the primary classification method due to its ability to handle high-dimensional data with better computational efficiency compared to Convolutional Neural Network (CNN) and Random Forest. The dataset used is the PlantVillage Tomato Leaf Dataset from Kaggle, consisting of 600 images categorized into three classes: healthy tomato leaves, leaves affected by mosaic virus, and leaves affected by yellow leaf curl virus. The research stages include data preprocessing such as image normalization, dataset splitting (80% training, 20% testing), and undersampling to address class imbalance. The SVM model is trained using various kernels and evaluated using accuracy, precision, recall, and F1-score metrics. The results show that the SVM model achieves an accuracy of 98.33%, demonstrating its effectiveness in detecting tomato plant diseases. Therefore, this model can be implemented in smart agriculture systems to enhance early disease detection and assist farmers in optimizing crop yields.
Co-Authors Achmad Udin Zailani Adam Gustiawan Adbillah, Muhammad Iman Adela Fadli, Putri Adi Kurnia Sena Aditya Putra Maulana Adriansyah, Fikri Ageng Putra Mulya Agung Kurnia Solihin Agung Nugroho, Fajar AGUNG SETIAWAN Agus Mulyono Agus Winarno, Agus Ahmad Faisal Ahmad Syahid Jindan Aida Eka Marlia Aji Saputra Alam, Indraja Alamsyah, Tajul Alan Febriansyah Alfath Sidik Ali Mahpudin Alimudin, M. Aziz Allifiah Firnando Alvino Oktaviano Alwi Al Agiv Amin, Faisal An Nisa Dira Andre Farhan Saputra Andri Firman Saputra Anggreani Br.Sormin, Natalia Anggreyni, Ayu Anissa Puspitasari Anugrah Ade Purnama, Oktaviana Aqil Farhan, Muhammad Ardhiansyah, Maulana Ari Mulyoto Arif Fajar Fadillah Aris Priyanto Arraniri, Nuruddin Arya Sena, Alven Asep Yudistira Saputra Asshadath, Farhan Aufarramdhi, Rizki Aulia Rizki, Muhammad Awaliyatunniza, Putri Awaludin, Ibnu Ayuningtyas Putri M Azhar, Muhammad Aditya Azzahra Ridwan Dalfin Susanto Damayanti, Riana Daniel Prastyo Dede Muhar Ardiansyah Dena Wulandari Dendy Syahrul Kamil Detina Euis Nuraini Devita Maulina Cahyani Dewa Fortuna Dewi Safutri Diah Prastyani Diaz Aji Sasongko Dila Fadilah Dwi Riyanto Elfi Fauziah Fachriza Khairul Fajri Fahri Patir Ramadhan Faiz Fauzy Fajar Setiawan Farsya Runa Supriyatna Fathu Ramadhan, Miftah Fauzi, Ahmad Rezki Febiyanto, Dedy Fikriansyah , Muhamad Furkon, Muhammad Ghufron Malik Azizi Ghufroniyah, Muflihatul Gilang Azis Ramadhan Gustiani, Andini Hakim, Ilham Abdul Hedwin Winata Halawa Herlan Ramadhan Hernanda Saripudin, Fajri Ibnoe Malik Ilham Bustomi Imam Wahidin Indah Purwati Intan Tri buana Iqbal Suyudi Wijaya, Mochammad Irene Nur Utami Ismail Joe Hadi Saputra, Steven Julianto, Rahmat Khatijah Omar Khoirun Nisa, Sevhia Kohar Krismonica Ningsih, Triani LINDAWATI Lisa Ardeliana Lisa Raudatul Jannah Liyana Febriyanti Liyen Mulya M. Syauqi Alfayyadh Marlia, Aida Eka Marsandy Rulian Maulana Akbar, Fauzi Maulidan Jaya Angkasa Meidina, Firda Melisa Dwi Hestiani Micko Biagi, Muhammad Miftahul Falah Miftahul Falah, Adam Mochamad Febry Herdian Mohamad Eko Saifudin Mohammad Zaki, Beningsha Muhamad Farhan Praditya Muhamad Rosdiana Muhammad Arief Ramadhan Muhammad Asrizal Muhammad Bryan Putra H Muhammad Dizkri Amrullah Muhammad Dzaki Ilhami Muhammad Farras Haidar Muhammad Fikri Muhammad Haiqal Latief Muhammad Iqbal Bintang Muhammad Likario Muhammad Malik Khalil Muhammad Rafli Muhammad Rafli Efendi Muhammad Rifa’I Muhammad Rifqi Muhammad, Rifaldie Munawaroh Munawaroh - Mu’ammar Kurniawan Nabila Bilqis Nator Diego Sitorus Niki Ratama Nikmatul Chasanah Noris, Shandi Nugroho Candra Dimuka Nur Jaya Nurkhalifah Akbal, Adinda Oktafiandi, Randu Oktalia, Cici Pandu Wiliantoro Patricia Zefanya, Kezia Perani Rosyani Pramudya Reynaldi Salim Pratama Pujiyatno, Azfa Puji Lestari, Dyta Putra Bagus Satrio Putri Nur Karisma Dewi, Ardila Rachmad Husaeni, Fahri Raihan Amsyah, Rahmad Raihan Ilyasah Ranti Amanda Rizkia Rara Anggraeni Reizal Putra Hidayat, Muhamad Reza Putra Nurhudaya Rifki Ichsan Fauzi Rindiyani Riska Fitriyani Riswal Hanafi Rizal Fauzi Rizki Fadilah, Muhamad Rizky Ramdhani, Rizky Rizky Saputra, Ilham Rizqi Wahyuni Rohmahwati Sabri Maulana M. Saiful Mujab, Saiful Samalo, Nurali Samirudin Annas Alfattah Samsoni Samsoni Samsoni Sapta Nurhayadi, Dony Saputra, Roby Saputra, Sugeng Sari, Aulia Kurnia Sartika Lina Mulani Satifa, Risa Satrio Novianto, Rifqy Saynu Ahmad Habibi Septianti Septiyani Mardiyana Setya Ningsih, Eka Sheva Nurmansyah, Muhammad Shinta Zulfa Zerlita Shoddam Palah Shuja, Affan sidiq , Rizal jafar Sifa Nur Faujiah Sri Rahayu, Eka Sulhanuddin, Muhammad Syahdan , Muhammad Syahril Syahrul Wujud Syarifuddin, Nurhalimah Syawalia Zahra Taufikurrohman Tri Prasetyo Prast Triyanto, Aripin Ubaydillah, Muchamad Udin Zaelani, Achmad Yoga Zahrudin Yudha Nur Muharram Yudhistira Gibran Zaelani , Ahmad Zahrotul Jannah, Nabila Zurnan Alfian