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Lili Tanti
Universitas Potensi Utama
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OPTIMIZATION OF MLP-NN FOR MANGO LEAF DISEASE PREDICTION USING IMAGE-BASED FEATURE EXTRACTION Budi Triandi; Lili Tanti
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7031

Abstract

Mango (Mangifera indica Linn.) is a nutrient-rich fruit, yet leaf diseases caused by microorganisms can significantly reduce crop productivity. Early detection is essential to prevent further damage and support effective disease management. This study proposes an optimized mango leaf disease prediction model using a multi-layer perceptron neural network (MLP-NN). Image-based feature extraction is performed using the Inception v3 architecture to obtain high-level color and texture features that improve classification performance. Unlike previous studies that rely solely on manually engineered features or full CNN training, this research introduces a hybrid approach that integrates deep feature extraction with MLP-NN optimization, offering a lightweight yet highly accurate alternative. Several hyperparameter combinations, including activation functions (ReLU, tanh, sigmoid) and optimization algorithms (Adam and SGD), were evaluated using the Orange platform. The optimized MLP-NN model with ReLU and Adam achieved the highest accuracy of 93.5%, demonstrating better stability and training efficiency compared to other configurations. These findings highlight the novelty and advantages of the proposed method, showing improved accuracy with lower computational cost relative to many existing approaches. This study provides an efficient solution for mango leaf disease prediction and supports future development of automated plant disease detection systems
Co-Authors adhar, Deni Adhar, Deni Adhar Ahmad, Ahmad Syah Lubis Ahsanul Huda Alim Murtani Alvian Julianto Hutajulu alya, Alya Rahmadani Andra Alfira Andra Alfitra Andrian Syahputra Anggi, Anggi Canita Simanjuntak Ayu Nadya Ayuni Syahputri Aziz Ritonga, Mirwan Bob Subahan Riza Bob Subhan Riza Bob Subhan Riza Bob Subhan Riza Bob Subhan Riza, Bob Subhan Budi Triandi Budi Triandi Budi Triandi, Budi Daifiria Daifiria Deni Adhar Deni Adhar Deni Adhar Adhar Deni Anggara Devi Pratiwi Putri Dewi Kartika Dhooni, Dhoni Briliant Efendi, Syahril Erica Rian Safitri Evri Ekadiansyah fachrie, Fachrie Ditya Faisal Tanjung Fauzan Arif Feberianus Zai Fretty S Siahaan Handoko, Muhammad Yan Handoko Putra F Hartama, Dedy Hartati Tammamah Lubis Herman Mawengkang Indah Widiastuti Iwan Fitrianto Rahmad Jasri, Jasri Ramadhan Juli Iriani Juli Iriani Juli Iriani Juli Iriani, Juli Juni Ismail Khairul Fajri Khairul Ummi Lahmudin Sipahutar Lubis, Hartati Tammamah M Rizky M Zendi Lubis M. Aidil Fitra Wahyudi M. Haidil Umam Mangunsong, Puja Mawardah Azzahra Maya Silvi Lydia Mubarak Mubarak Muhammad Daud Muhammad Faris Nanda Setiawan Nety Juwita Lubis Nurainun Nurhayati Nurhayati Pairin, Yusfrizal Bin Patuan Putra Wijaya Sitorus Poningsih Poningsih, Poningsih Rabiana Saragih Ratih Puspasari Ratih Puspasari Ratih, Ratih Puspasari Ridho, Irdian Rika Rosnelly, Rika Riza, Bob Subahan Rofiqoh Dewi Roslina Roslina Roslina Roslina, Roslina Safitri, Erica Rian Safrizal Safrizal Safrizal Safrizal Safrizal Safrizal Safrizal Salwani D, Zuki Salwani D Simalango, Clarensia Mende Surbakti, Dio Febrian Susianto Susianto Syefira Arrafah Tasya Ardilah Thanri, Yan Yang Wanayumini Windy, Micky Alviansyah Wirhan Fahrozi, Wirhan Yanyang Thanri Yudhi Andrian Yulika Ababil _, Safrizal