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All Journal JSAI (Journal Scientific and Applied Informatics) AMMA : Jurnal Pengabdian Masyarakat
Noufal Maulana
Universitas Pamulang
Humanities Chemistry Computer Science & IT Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Sosialisasi Keamanan Digital: Peningkatan Kesadaran Pemuda Karang Taruna 'Cipta Karya' Terhadap Ancaman Siber Dan Perlindungan Diri Di Dunia Maya Alessandro; Alvin Diaz Setyadi; Altaf Ghani S; Fransiskus N E; Muhammad Dabit H A; Muhamad Fauzan Rusby K; Noufal Maulana; Ryandanu W P; Sadam Alifio; Januardy Ahda S M; Riky Susanto
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 11 : Desember (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Community Service (PKM) activity with the theme "Digital Security Socialization: Increasing Awareness of Youth of Karang Taruna 'Cipta Karya' towards Cyber ​​Threats and Self-Protection in Cyberspace" was carried out by a team of Pamulang University students in Rancagong Village, Legok District, Tangerang Regency, Banten, on November 10, 2024. This program aims to increase public understanding and awareness, especially Karang Taruna youth, regarding cyber threats and digital protection measures. This activity includes delivering educational materials on types of cyber threats such as hacking, online fraud, and data theft, as well as basic techniques for protecting personal information. In addition to delivering the material, interactive sessions in the form of questions and answers and quizzes were also held to encourage active involvement of participants. The results of this activity showed that participants gained a better understanding of the importance of maintaining digital security and were motivated to apply this knowledge in their daily lives. In closing, souvenirs were given to partners as a form of appreciation for their support for this program. This program is expected to continue in the future to reach more communities, so that the younger generation is better prepared to face the challenges of the digital era wisely and safely.
Klasifikasi Citra Bunga Tropis Berbasis MobileNetV2 Menggunakan Pendekatan Pengembangan Iteratif Noufal Maulana; Hadi Zakaria
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 3 (2026): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i3.12017

Abstract

The diversity of tropical flower species and visual morphological similarities between classes pose significant challenges for manual identification, a process prone to inaccuracy. This study aims to implement a Convolutional Neural Network (CNN) algorithm based on the MobileNetV2 architecture to automate tropical flower image classification using an iterative modeling approach. The dataset comprises 7,500 digital images across 15 tropical flower classes. Pre-processing stages include image resizing, normalization, and data augmentation. Modeling was executed using the PyTorch framework, incorporating Early Stopping and a Learning Rate Scheduler. Quantitative evaluation on 1,125 test samples demonstrated that the MobileNetV2 model achieved an accuracy of 84.0%, precision of 84.0%, recall of 84.0%, and an F1-score of 83.0%. These results confirm the effectiveness and efficiency of MobileNetV2 in extracting specific visual features of tropical flora.
Co-Authors Alessandro Altaf Ghani S Alvin Diaz Setyadi Fransiskus N E Januardy Ahda S M Muhamad Fauzan Rusby K Muhammad Dabit H A Riky Susanto Ryandanu W P Sadam Alifio Zakaria, Hadi