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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Teknika Jurnal IPTEK Jurnal KARISMATIKA Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA Zero : Jurnal Sains, Matematika, dan Terapan Jurnal Kridatama Sains dan Teknologi bit-Tech Jurnal Pendidikan Teknologi Informasi dan Vokasional JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Informasi dan Sains Teknologi SKANIKA: Sistem Komputer dan Teknik Informatika Journal of Soft Computing Exploration Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Instal : Jurnal Komputer Formosa Journal of Science and Technology (FJST) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Matematika, Komputasi dan Statistika Blend Sains Jurnal Teknik QISTINA: Jurnal Multidisiplin Indonesia Journal of Education Technology Information Social Sciences and Health Jurnal Indonesia Sosial Teknologi Jurnal Multidisiplin Teknologi dan Arsitektur Journal of Informatics and Data Science (J-IDS) Jurnal Komputer dan Teknologi (JUKOMTEK) Journal of Accounting Law Communication and Technology Journal of Education Transportation and Business
Zulfahmi Indra, Zulfahmi
Uniersitas Negeri Medan
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Journal : SKANIKA: Sistem Komputer dan Teknik Informatika

 1 
Identifikasi Penyakit Tanaman Berdasarkan Citra Daun Berbasis Web dengan Pendekatan Algoritma Convolutional Neural Network Sri Mulyana; Mansur AS; Angga Warjaya; Inna Muthmainnah; Said Iskandar Al Idrus; Zulfahmi Indra
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3573

Abstract

This research aims to develop a mustard plant disease classification system using the Convolutional Neural Network (CNN) method integrated into a web-based platform. Classification is carried out on three classes, namely Spotted Mustard Leaves, Rotten Mustard Leaves, Healthy Mustard Leaves, with the addition of the Not Mustard Leaf class as a distractor class to test the robustness of the model against images that are not included in the main classification category. The dataset used consists of 800 images, 200 images each per class. The CNN model was built with a sequential architecture consisting of several convolutions, pooling, dropout, and dense layers, and using ReLU and SoftMax activation functions in the output layer. The training process is carried out up to 100 epochs, but with the use of Early Stopping callback, the training stops at the 60th epoch, with the best performance (best epoch) achieved at the 32nd epoch. Evaluation of the model on test data showed an accuracy of 93.75%, with high precision, recall, and F1-score values in each class. The model was then implemented into a web interface so that users could upload leaf images and obtain classification results automatically. The results of this study show that CNN is effective in detecting mustard leaf disease and has the potential to be applied as a digital image-based diagnostic tool in agriculture.
Co-Authors Abdi Setiawan Adidtya Perdana, Adidtya Adwitia, Keysa Shifa Alsya Adelia Putri Ananda Hatmi, Reza Anastasya Carity S, Disty Angga Warjaya ARNAH RITONGA, ARNAH Arnita Arnita Asra, Naufal Aqiilah Barus, Angelica Chairunisah Chairunisah, Chairunisah Dede Yusuf Wagiman DIdi Febrian Evaliana Sembiring, Khatrin Fahra Pebiana Putri Farhan Ramadhan, Haikal Fauzan, M Rosyid Halawa, Sovantri Putra Paskah Hamidah Nasution Harahap, Muhammad Abarorya Hasibuan, Najwa Latifah Hermawan Syahputra Hidayat, Muhammad Ferdiansyah Hijka Listia Hutagalung, Fhadillah Br Ida Ayu Putu Sri Widnyani Inna Muthmainnah Insan Taufik Kana Saputra S Kartika, Dinda Khairani, Nerli Khusnul Arifin . Lorinez, Yohana Lubis, Afiq Alghazali Lubis, Muhammad Ghafur Rahman Luge, Miclyael M. Reza Pratama Harahap MANSUR AS Manullang, Sudianto Muhammad Andika Muslim Muhammad Rheza Palevi Muhammad Ridho Nasution, Adzkia Nur Nasution, Hamidah . Neltriana Syafira Niska, Debi Yandra Nouri, Maulana Al Pandiangan, Gus Rosauli Paramitha Purba, Desni Pratama, Ega Purba, Jogi Putri, Repi Meilani Putri, Rezkya Nadilla Rahmah, Nadya Ramayani Siagian Rinjani Cyra Nabila Risna Simorangkir Rizky Ananda Sabina Wardaniah Said . Iskandar Saketang, Tia Risky Yasmin Saragih, Vinny Ramayani Savana HSB, Muhammad Alby Selfi Audy Priscilia Siagian, Angel Agasari Simamora, Elmanani Simanjorang, Rio Givent A Simanulang, Mika Monica Fransiska Simanungkalit, Ada Novisari D. Sinaga, Marlina Setia Sipahutar, Nuriana siti wulandari Sitompul, Dicky Sambora Sri Mulyana subanar subanar Sultan Lazuardiansyah Syahfitri, Ardilla Syarida Aini, Desti Syifa Cendikia, Yolanda Venina Agustine Wahabi Hasibuan, Rahman Yulita Molliq Rangkuti Zai, Samuel Anaya Putra