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All Journal Jurnal Teknoinfo Jurnal Sisfotek Global Jurnal Algoritma Jurnal Sistem Informasi dan Teknologi (SINTEK) Journal Information & Computer (JICOM) Jurnal Relawan dan Pengabdian Masyarakat REDI Jurnal Pengabdian kepada Masyarakat The Scientific Journal of Information Systems Inovasi Gagasan Abdimas & Kuliah Kerja Nyata Sintek Kuwera
Lukas Umbu Zogara
Universitas Utpadaka Swastika
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Implementation and Analysis of Multiple Interface Policies through System Feature Visibility on Fortigate FG-60F Alfaujianto, Moh; Muttaqi, Fajar; Surahmat, Asep; Zogara, Lukas Umbu
Scientific Journal of Information System Vol. 3 No. 2 (2025): Scientific Journal of Information System
Publisher : Universitas Utpadaka Swastika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70429/sjis.v3i2.229

Abstract

Fortigate FG-60F is one of the popular firewall appliances utilized by small and medium-scalenetworks in managing security. However, some of the needed features such as multiple interfacepolicies are not displayed by default on the user interface. This study explores the functionality andeffectiveness of enabling system-feature visibility for easier management of inter-interface policies.Employing an experimental approach, the Fortigate FG-60F device was configured to activate thehidden feature, and subsequently, a set of policy rule scenarios with multiple interfaces wereestablished and tested. The results indicate that supporting system-feature visibility enhancessignificantly the administrator's ability to implement more specific traffic policies that arecommensurate with network topology requirements. Moreover, performance analysis showed nonegative impact on device performance after the implementation of multi-interface policy. Thefindings are expected to serve as a valuable reference for network administrators in optimizingFortigate FG-60F security capabilities by leveraging advanced, previously hidden features
Deteksi Penyakit Hawar Daun Bakteri pada Tanaman Padi Menggunakan Algoritma Data Mining Umbu Zogara, Lukas; Rindi Widya Yato, Dhimas Buing
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2917

Abstract

Plant diseases are a serious challenge in the agricultural sector, especially bacterial leaf blight (BLB) in rice, which can reduce productivity and cause economic losses. This study aims to develop a BLB classification model based on the lightweight Gaussian Naive Bayes algorithm that can be applied in areas with limited technology. Rice leaf image data was collected from the field, processed through preprocessing and visual feature extraction stages, then classified using Gaussian Naive Bayes with evaluation based on accuracy, precision, recall, F1-score, and AUC. The results show an accuracy of 63.07%, precision of 56.16%, recall of 90.64%, F1-score of 69.35%, and AUC of 0.7728. The high recall value confirms the model's ability to detect most infected leaves, while the AUC indicates fairly good classification performance. This model has also been integrated into a web application prototype with a simple user interface, where users can upload leaf images for automatic analysis. The results of this study are expected to be used to support early warning systems for plant diseases and assist farmers in making quick and efficient disease control decisions. This research contributes to the development of machine learning-based early detection systems to improve sustainable agricultural productivity.
Co-Authors Adiiba Dwikanthi Ahmad Sururi Alfaujianto, Moh Alfaujianto, Moh. Ameliana Ameliana Dai Payon Binti Gabriel, Cecilia Darul Mukminin Fajar Muttaqi Grace Limiko Hasyanta, Gopas Leny Tritanto Ningrum Moh Alfaujianto Muttaqi, Fajar Ningrum, Leny Pupista, Orinda Rindi Widya Yato, Dhimas Buing Sari, Santi Purnama Suharmat, Asep Surahmat, Asep Sutrisno, Gono Tehupuring, Ronald Tobing, Suasana Hisanty Umiyati, Hesti Yato, Dhimas Buing Rindi Widra