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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Freyro Dobry Sianipar
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Social Sciences

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PERANCANGAN DAN PENGEMBANGAN APLIKASI WEB PELAPORAN KAMPUS DI UNIVERSITAS NEGERI MEDAN DENGAN INTEGRASI CHATBOT Freyro Dobry Sianipar; Muhammad Hidayatul Arifin; Windy Aulia; Muhammad Haikal Al Majid; Adidtya Perdana
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 1 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i1.3754

Abstract

Conventional reporting systems in the campus environment often produce reports that are not well documented, which causes the handling process to be slow and unclear. This is the problem underlying this research. The purpose of this research is to create and develop a campus reporting web application integrated with a chatbot to increase transparency, speed, and efficiency in the delivery and handling of reports. The method used is Research and Development (R&D) with the Waterfall development model, including the stages of needs analysis, system design, implementation, testing, and evaluation. This application development uses PHP programming language for the backend, MySQL as the database, and Tailwind CSS and JavaScript for the user interface. Chatbase is used to integrate a chatbot to answer automated questions about the reporting process. The results showed that the developed application was able to facilitate the reporting process systematically through the input form feature, user authentication, and a dashboard that monitors the status of the report, which facilitates the management of reports by the campus. In addition, the chatbot feature helps answer user questions quickly and precisely, increasing user interaction and satisfaction. The conclusion of the study shows that the use of a reporting web application with a chatbot can improve the flow of reports, accelerate handling responses, and increase transparency and documentation in report management in the campus environment.
Feature Selection pada Dataset NSL-KDD Menggunakan Algoritma Genetic Algorithm untuk Deteksi Serangan Jaringan Freyro Dobry Sianipar; Ruth Amelia Vega S Meliala; Yoseph Christian Sitanggang; Adidtya Perdana
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 4 (2025): November: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i4.1275

Abstract

Information system security faces serious challenges due to increasingly complex cyber attacks. Intrusion Detection Systems (IDS) require efficient approaches to handle high-dimensional data such as the NSL-KDD dataset with 41 features. This study aims to implement the Genetic Algorithm (GA) for feature selection on the NSL-KDD dataset to improve the efficiency and accuracy of network attack detection. The method used is computational experimental research, involving data preprocessing, GA implementation for feature selection, building a classification model using Random Forest, and performance evaluation based on accuracy, precision, recall, F1-score, and computation time. The results show that GA successfully reduced features from 41 to 12 features (70.7% reduction), significantly improving computational efficiency. However, model accuracy slightly decreased from 0.4973 to 0.4951, indicating that while GA is effective for feature selection, the elimination of certain features may reduce classification capability. The implication of this study is that GA can be used as a tool to simplify intrusion detection models, but it should be combined with parameter optimization and data imbalance handling to achieve more optimal performance.  
Co-Authors Adidtya Perdana, Adidtya Muhammad Haikal Al Majid Muhammad Hidayatul Arifin Ruth Amelia Vega S Meliala Windy Aulia Yoseph Christian Sitanggang