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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF)
Agus Ariwanta, I Putu Yesha
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Computer Science & IT Decision Sciences, Operations Research & Management

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SURICATA ACCURACY OPTIMIZATION BASED ON LIVE ANALYSIS USING ONE-CLASS SUPPORT VECTOR MACHINE METHOD AND STREAMLIT FRAMEWORK Agus Ariwanta, I Putu Yesha; Ernanda Aryanto, Kadek Yota; Gunadi, I Gede Aris
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1822

Abstract

Based on data from the Checkpoint website, there are more than 10 million cyber-attacks in a single day, and the top sequence of this cyber-attack is evident in educational institutions. The IT unit of Kartini Bali Health Polytechnic has not yet conducted testing for accuracy and speed to detect suspicious activities on the computer network. The implementation of network security systems that have not undergone testing will undoubtedly have a negative impact on system providers and users. The application of Live Analysis based on a website and the One-Class Support Vector Machine (SVM) is used to optimize the capabilities of the Suricata in detecting suspicious activities on computer networks and providing visual and real-time reports. This research utilizes the Suricata for optimizing the computer network security system, with the researcher using the Streamlit Framework for Live Analysis based on a website and the One-Class Support Vector Machine (SVM) for classifying log data and visual reporting. For testing the computer network security system, tools such as Nmap, Loic, and Brutus are used. The results of the research using the One-Class Support Vector Machine (SVM) in detecting three types of attacks Port Scanning, DDOS Attack, and Brute Force Attack, show an accuracy value of 96%, precision of 95%, recall of 96%, and F1-Score of 95%. In the performance and load testing of the live analysis system using the Streamlit framework, the results show that the developed system is responsive, with CPU usage at 38%, memory usage at 62.3%, and an average system load time of 5 milliseconds.
Evaluasi User Experience Sistem Informasi Akademik Pada Website mahasiswa.pkkb.ac.id Menggunakan User Experience Questionnaire (UEQ) Agus Ariwanta, I Putu Yesha; Gunawan, I Made Agus Oka; Indrawan, Gede
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4490

Abstract

The information system website on mahasiswa.pkkb.ac.id is a crucial platform for students to access academic information, class schedules, and other educational resources. Evaluating the User Experience (UX) of such a website's information system is a critical step in enhancing the quality of online educational services. In this research, the researcher utilized the User Experience Questionnaire (UEQ) method to measure the UX on the mahasiswa.pkkb.ac.id student information website. The research was conducted at Kartini Bali Health Polytechnic with 63 student respondents who are currently active academically. The results of evaluating user experience using the UEQ method for each aspect are evaluated as follows: 4,444 attractiveness points are rated 1,513, clarity is rated 1,341, effectiveness is rated 1,488, reliability is rated 1,488 was rated 1,409, stimulation was rated 1,552 and novelty was rated 1,115. This shows that all aspects of the value user experience received positive ratings. The outcomes of this study demonstrate that the User Experience Questionnaire (UEQ) is an effective method for assessing and measuring the User Experience (UX) of the mahasiswa.pkkb.ac.id student information website, and the resulting improvement recommendations can serve as the foundation for future developments in enhancing online educational services.
Co-Authors Gede Indrawan I Gede Aris Gunadi I Made Agus Oka Gunawan Kadek Yota Ernanda Aryanto