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All Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Saturnus: Jurnal Teknologi dan Sistem Informasi
Dhea Agustina Akmal
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Computer Science & IT

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Kombinasi Kriptografi Modern Dalam Keamanan Pesan Teks Dhea Agustina Akmal; Dicha Mutia Dhani; Febby Syahila
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2024): Juli : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i3.204

Abstract

In the rapidly advancing digital era, information security has become a crucial aspect in maintaining the confidentiality, integrity, and authenticity of data. This article discusses the relationship between information system auditing and the use of modern cryptographic combinations in securing text messages. Information system auditing serves as an evaluation mechanism to ensure that security policies, procedures, and standards are correctly and consistently applied. On the other hand, modern cryptography provides advanced encryption technology that protects text messages from unauthorized access and manipulation. By combining these two approaches, we can create a robust framework for securing text messages, ensuring that data remains safe and protected during transmission and storage. Research results indicate that integrating information system auditing with modern cryptographic techniques significantly enhances the security and reliability of information systems.
Klasifikasi Tingkat Minat Belanja Online Melalui Media Sosial pada Masyarakat di Kota Binjai Meggunakan Algoritma K-Means Dhea Agustina Akmal; Relita Buaton; Anton Sihombing
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 3 (2024): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i3.169

Abstract

The advancement of information technology and globalization has transformed shopping behaviors, with social media becoming the primary platform for online shopping. This study aims to analyze the online shopping preferences of residents in Binjai City through social media using clustering methods, specifically the K-Means algorithm. Data were collected via a questionnaire targeting 523 respondents in Binjai City, focusing on variables such as gender, age, and the social media platforms used. Clustering methods are employed to group online shopping data into representative clusters, helping identify community preferences for specific social media platforms for shopping. Matlab is used to process the data and generate relevant insights into online shopping patterns, facilitating decision-making regarding the selection of the most suitable social media platform for transactions.The findings of this study are expected to provide valuable insights for both sellers and buyers in determining the most effective social media platforms for online shopping. Additionally, the results will be useful for residents of Binjai City to understand and choose the social media platforms that best meet their online shopping needs.
Co-Authors Buaton, Relita Dicha Mutia Dhani Febby Syahila Sihombing, Anton