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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal Of Informatics And Busisnes
Hasibuan, Maria Hikmah
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Computer Science & IT Economics, Econometrics & Finance Education

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Analisis Sistem Keamanan Data Pada Jaringan Tvri Sumut Untuk Meningkatkan Perlindungan Informasi Hasibuan, Maria Hikmah; Nasution, Yusuf Ramadhan; Riyadi, Bagas Yowan
Journal Of Informatics And Busisnes Vol. 1 No. 2 (2023): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i2.301

Abstract

In an era of rapidly developing information, it is very important to protect data, especially for institutions that handle sensitive data. With the aim of increasing data protection, this research concentrates on analyzing the data security system in the TVRI North Sumatra network. The main focus of the research was to find weaknesses in the existing security infrastructure, such as inadequate encryption procedures and weak password policies. Additionally, malware attacks and internal risks are discussed as potential security threats. There are advantages and disadvantages to evaluating current security protocols. Although some protocols, such as firewalls and intrusion detection systems, have proven successful, there is still room for improvement, especially in strengthening deeper layers of security and detecting more sophisticated attacks. This study emphasizes the importance of security awareness of TVRI North Sumatra employees and suggests training and awareness campaigns to reduce the dangers of social engineering. The results lead to policy updates, and proactive security measures. To implement these recommendations, an organized action plan and cooperation between departments is required. Regular regulatory updates, scheduled security monitoring, and investment in security technology are key to ensuring that data protection efforts continue. Overall, this research confirms that strengthening the security foundations of the TVRI North Sumatra network is critical to maintaining data confidentiality and maintaining its role as a reliable and secure information provider. This abstract provides a brief overview of the important elements of the research, provides solutions to problems encountered, and the general goal of improving data security in the TVRI North Sumatra network.
Apriori Algorithm to Predict Availability of Beauty Products Hasibuan, Maria Hikmah; Fakhriza, M.
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4259

Abstract

This study introduces the Apriori algorithm in beauty product availability prediction system as a solution to enhance stock prediction accuracy and mitigate inventory risks in the beauty industry. By applying data mining technology, specifically the Apriori algorithm, Kazana Kosmetik aims to gain insights into consumer purchasing patterns to optimize operations. The research analyzes transaction data to identify key buying patterns and improve stock management strategies. The results reveal seven main purchasing patterns with an average confidence value of 0.414, offering valuable guidance for Kazana Kosmetik in inventory control and marketing tactics. By leveraging data mining techniques, companies like Kazana Kosmetik can streamline sales strategies and enhance customer satisfaction. This research underscores the effectiveness of the Apriori algorithm in predicting beauty product availability and its potential to revolutionize operational efficiency in the cosmetics market.
Co-Authors Fakhriza, M. Riyadi, Bagas Yowan Yusuf Ramadhan Nasution, Yusuf Ramadhan