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Journal : NERO (Networking Engineering Research Operation)

Implementation Of Convolutional Neural Network Algorithm For Tobacco Pest Detection Tamam, Moh Badri; Chafid, Nurul; Hozairi, Hozairi; Aini, Qurrotul; Santoso, Teguh Budi; Kurniawan, Wawan; Kuzairi, Kuzairi
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30044

Abstract

Agriculture plays a vital role in increasing Gross Domestic Product (GDP), providing employment, contributing to foreign exchange earnings, and supporting environmental conservation. Indonesia has great potential as an agricultural country where population majority relies on agricultural sector for their livelihood. Pamekasan Regency is center of tobacco production development in East Java, with a tobacco plantation area of over 30,000 hectares. However, pest attacks such as caterpillars often damage tobacco plants, reducing productivity and leaf quality. This study implemented AI technology, specifically Convolutional Neural Networks (CNN), to detect caterpillar pests in tobacco plants in Pamekasan. The main focus is on AI development in computer vision using deep learning techniques. The CNN training process involves several stages: convolution, ReLU layers, subsampling/pooling layers, and fully connected layers. The test scenario was conducted by dividing data by 85% training, 10% validation, and 5% testing, as well as tuning parameters for the learning rate and epochs. The model achieved a maximum accuracy of 85% without overfitting at a learning rate of 0.001 and epochs 15. This demonstrates that the CNN deep learning method can effectively identify disease features in tobacco plants. The application of this technology can increase productivity and efficiency in the agricultural sector, supporting a sustainable economy and ecology.Keywords: convolutional neural network, image detection, tobacco pest.
Co-Authors AA. Masroeri Aang Kisnu Darmawan Abd. Wafi Ach. Nurul Qomar Akhmad Arif Kurdianto Alim, Syariful Alim, Syarigul Anwari Anwari Anwari, Anwari Arfianto, Afif Zuhri Artanti, M. D. Arya Yudhi Wijaya Asmara, I Putu Sindhu Bakir Bakir Bakir Bakir Bakir, Bakir Baskoro, Fajar Bernardo, Januario Freitas Araujo Billy Jhones Camerling Budhi Hascaryo Iskandar Buhari Buhari Buhari Camerling, Billy Jhones Chafid, Nurul Efenie, Yuri Finanatun Halimiyah Fitra, Anis Hakiem, Luqmanul Heru Lumaksono Heru Lumaksono Heru Lumaksono Heru Lumaksono Hoiriyah, . Hoiriyah, Hoiriyah Husnul Khatimah Husnul Khatimah John Haluan Juhairiyah Juhairiyah Juhairiyah Ketut Buda Artana Kuddus, Abd Kuzairi Lizami, Makinul Lumaksono, Heru Lumaksono, Heru M. Ali Fikri Madukil Makruf Maisyaroh, Rohimatul Marcus Tukan Marcus Tukan Masdukil Makruf, Masdukil Maulidanitamyizi, Moh Fahmi mochamad zainul Asrori Moh Fahmi Maulidanitamyizi Moh. Badri Tamam Mohammad Isa Irawan Mohammad Thezar Afifudin Mohammad Thezar Afifudin Muhammad Agus Muljanto Muhsi, Muhsi Munadi Munadi Muyammina, Ittrotul Nur Azizah Nurul Badriyah Nurul Hidayat Putri, Dewi Amiliana Putri, Nadira Hijriani Qurrotul Aini Rofiudin Roland Koswara Sa'diyah, Aminatus Safira, Aulia Salman Alfarisi Santosa, A. F. Santoso, Teguh Budi Syamsiar, Syamsiar Syariful Alim Syariful Alim Syariful Alim Syariful Alim Taufiqurrohman Taufiqurrohman Tukan, Markus wahyudi, furqon Wahyudi, Moh. Rafiqi Walid, Miftahul Wawan Kurniawan Yaser Krisnafi Yaser Krisnafi, Yaser Yuri Efenie Zaifuddin, Zaifuddin