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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa Bulletin of Electrical Engineering and Informatics ILKOM Jurnal Ilmiah Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Susetianingtias, Diana Tri
Gunadarma University
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Deep learning based identification of Crocidolomia pavonana larvae on mustard plants using Grad-CAM Diana Tri Susetianingtias; Sarifuddin Madenda; Risnawati Risnawati; Maukar Maukar; Eka Patriya; Rodiah Rodiah
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11343

Abstract

Mustard greens are an important vegetable commodity, but their production is often affected by pest attacks, especially the cabbage worm Crocidolomia pavonana (C. pavonana). The larvae damage leaf tissues and cause significant yield losses, while chemical control is often ineffective due to differences in insecticide sensitivity across larval instars. This study proposes a deep learning based classification approach combined with gradient weighted class activation mapping (Grad-CAM) to identify larval instars of C. pavonana on mustard plants. A dataset of 684 images covering instars 1 to 4 was collected from laboratory rearing and field observations, then processed using resizing and augmentation techniques and divided into training, validation, and testing sets with an 8 to 1 to 1 ratio. Two convolutional neural network (CNN) models, visual geometry group 19 (VGG19), and Xception, were implemented with additional fully connected layers. The VGG19 model achieved 94.20% accuracy and outperformed Xception. Grad-CAM successfully highlighted larval regions and supported visual interpretation. The results show that the proposed method can improve pest identification accuracy and support more effective pest management.
Program Pendidikan Ilmu Teknologi Informasi dan Pelatihan Komputer ”Pemanfaatan Media Online Dalam Pemasaran” Untuk Peserta Didik Divisi Pendidikan Publik Lembaga AgenKultur Kp Babakan Ds Binong, Karawaci, Tangerang, Banten Missa Lamsani; Maulana Mujahidin; Mochamad Wisuda Sardjono; Rini Arianty; Siti Chodijah; Sri Wulan Windu Ratih; Agung Slamet Riyadi; Any Kurniawaty Yapie; Diana Tri Susetianingtias; Diny Wahyuni
Jurnal Pengabdian Kepada Masyarakat Darma Saskara Vol. 5 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/abdimasug.2025.v5i2.211

Abstract

Pelaksanaan Pengabdian kepada Masyarakat merupakan salah satu bentuk nyata dari penerapan Tri Dharma Perguruan Tinggi. Dalam kegiatan ini, Universitas Gunadarma menjalin kerja sama dengan Yayasan AgenKultur, sebuah lembaga independen yang bergerak di bidang sosial, budaya, dan pendidikan, di mana PKBM Tan Malaka menjadi divisi yang berfokus pada layanan pendidikan. Kolaborasi tersebut diwujudkan melalui pemberian pelatihan komputer dan ekonomi kepada peserta didik program Paket B dan C di yayasan tersebut. Mengingat pentingnya penguasaan teknologi informasi pada masa sekarang, materi pelatihan yang diberikan diarahkan pada pengenalan dan pemanfaatan internet untuk kegiatan pemasaran digital. Selain pelatihan teknis, Universitas Gunadarma juga menyelenggarakan Kuliah Umum secara daring untuk menambah wawasan para siswa mengenai perkembangan teknologi informasi, khususnya dalam bidang ilmu komputer dan penerapannya di bidang ekonomi. Seluruh kegiatan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan digital para siswa di PKBM Tan Malaka sehingga mereka memiliki bekal yang lebih baik dalam menghadapi kebutuhan pembelajaran dan dunia kerja. One of the ways to actualize the Tri Dharma of Higher Education is through community service activities, and this initiative is reflected in the collaboration between Gunadarma University and the AgenKultur Foundation, an independent organization focusing on social, cultural, and educational development. Within this foundation, PKBM Tan Malaka serves as the main educational unit. Through this partnership, training sessions in computer science and basic economics were provided for students enrolled in Package B and C programs. Given the increasing reliance on digital technology today, the training modules emphasized the introduction and practical use of the internet as a tool for digital marketing. In addition to technical training, Gunadarma University also offered an online Public Lecture designed to give students insight into the latest trends in information technology, particularly within computer science and its relevance to economic activities. The overall goal of this community service program was to enhance the digital literacy and practical IT skills of students at the AgenKultur Foundation.
Co-Authors Agung Slamet Riyadi Any Kurniawaty Yapie Diny Wahyuni Dody Pernadi Dody Pernadi Duriyawati Eka Patriya Eka Patriya Ety Sutanty Fitrianingsih Fitrianingsih Maukar Maukar Maulana Mujahidin Missa Lamsani Mochamad Wisuda Sardjono Patriya, Eka Rini Arianty Rini Arianty Risnawati Risnawati Rodiah Rodiah Rodiah Sanusi, Haura Sarifuddin Madenda Siti Chodijah Sri Wulan Windu Ratih Suryadi, Soleh