Article Per Year (5 Year)
p-Index From 2021 - 2026
4.215
P-Index
This Author published in this journals
All Journal Jurnal Agroteknos SEIKO : Journal of Management & Business Jurnal Manajemen Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) JISA (Jurnal Informatika dan Sains) MEANS (Media Informasi Analisa dan Sistem) Jurnal Dinamika Informatika (JDI) Journal of Artificial Intelligence and Engineering Applications (JAIEA) BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Sosial Informasi interaktif : jurnal informatika dan teknologi informasi
Wahyudin, Edi
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Optimization of Convolutional Neural Networks Using Resizing Techniques for Banana Leaf Disease Classification Kurniawan, Aldiyansyah; Purnamasari, Ade Irma; Pratama, Denni; Tohidi, Edi; Wahyudin, Edi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1876

Abstract

Early and accurate identification of banana leaf diseases is essential for supporting digital agriculture, as visual symptoms often require rapid and reliable analysis. This study investigates the impact of three image resizing techniques squashing, letterboxing, and random resized crop on the performance of the MobileNetV2 architecture in classifying four categories of banana leaf images using the Banana Leaf Disease Dataset v4 consisting of 4,675 samples. The experiments were conducted using a transfer learning approach with an 80:10:10 data split, standardized normalization, and data augmentation. The results show that all resizing techniques achieved test accuracies above 92%. Squashing produced the highest accuracy and fastest training time, letterboxing demonstrated the most stable performance with the lowest validation loss, and random resized crop improved generalization to variations in object position. These findings confirm that resizing strategies significantly influence the stability and effectiveness of CNN models. Overall, MobileNetV2 proves capable of delivering accurate and efficient classification of banana leaf diseases when supported by an appropriate preprocessing pipeline. This study provides empirical evidence for developing image-based plant disease diagnosis systems within smart agriculture.
Co-Authors Abdul Ajiz, Abdul Agastya, Muhamad Alibasyah, Aziz Amalia, Dita Rizki Amaliah, Rif'atul Amir Rudin, Rizki Aprilyani, Wiwin Arraudhah, Nazwa Budiarti, Reksa Damayanti, Selpiana Destriyanah, Riska Dikananda, Fatihanursari Eka Permana, Sandy Elsa Safutri Fadlan Abdul Rojak Fansuri, Rafly Fathurrohman, Fathurrohman Fauziah, Irfa Mulhimah Firmansyah, Atep Gifthera Dwilestari GUSNAWATY, HS Hamonangan, Ryan Herdiana, Ruli Hery Widijanto Iin, Iin Irfan Ali, Irfan Irma Purnama sari, Ade Irma Purnamasari, Ade Jamin, Nur Hasan Kafiar, Joninho Albert Kambado, Paniel Kamsrar, Herlina Karunia Nurul Asry, Kintan Kaslani Khaer, Rijalul Kurniawan, Aldiyansyah Lumuhu, Jessica Adlin Lutfiah Lutfiah Martanto MUHAMMAD TAUFIK Mukti, Novaningtyas Azhari Mulyawan, Mulyawan Nasakh Nurhidayat, Muhammad Pahmi Pahmi Perdana Herdiansyah, Reza Pratama, Denni Puri, Anita Purnamasari, Ade Irma Putri Nindya, Nazwa Rano Rizki Rinaldi, Ade Saeful Anwar, Saeful Salsabila, Putri Sazwati, Anggi Sehabudin Sehabudin, Sehabudin Solihudin, Dodi Subhiyanto, Fajar Sukma Maula, Intan Syahruf Efendi, Muhammad Tanel, Ester Yulina Tati Suprapti Tohidi, Edi Veithzal Rivai Zainal Vibrianti, Vera Yewen, Yosep Yoni Ardiansah, Muhamad Zamil Farhan, Muhammad