https://journal.mediadigitalpublikasi.com/index.php/saga/issue/feedSAGA: Journal of Technology and Information System2026-06-01T02:01:25+00:00SAGA Managerusurobbi85@zoho.comOpen Journal Systems<p>SAGA: Journal of Technology and Information Systems, a peer-reviewed academic international journal focused on technology and information systems research. Our journal publishes four issues (February, May, August, November) per year and welcomes submissions from researchers at all career levels and from any geographic location. Our journal is assigned the International Standard Serial Number (ISSN) <strong><a href="https://www.dropbox.com/s/fv4spht5rauy8zu/SK%20ISSN.pdf?dl=0" target="_blank" rel="noopener">2985-8933</a></strong>, which ensures the permanent availability and visibility of our journal in the scholarly community. Our scope includes, but is not limited to, information systems, computer science, data management, artificial intelligence, cybersecurity, and business intelligence. We strive to promote diversity and inclusivity in our editorial process.</p>https://journal.mediadigitalpublikasi.com/index.php/saga/article/view/686Implementation of K-Means Algorithm to Classify Instagram Reels and Carousel Content Performance Based2026-06-01T02:01:25+00:00Shelomitha Trinitia WoworS22210267@student.unklab.ac.idChrista Gabriella Putri Tumbols22210400@student.unklab.ac.idJimmy Herawan Moedjahedyjimmy@unklab.ac.idGreen Arther Sandaggreensandag@unklab.ac.id<p>With the increasing popularity of digital marketing, Instagram became one of the top platforms where the audience can be reached. It is important to gain an insight into the performance of different types of contents to ensure that the marketing efforts bear fruit. This research will apply the K-Means algorithm to classify Instagram Reels and Carousel contents based on performance by taking into account such factors as likes, comments, shares, and saves. For the purposes of the study, the data were collected from a variety of accounts both personal and of a business nature. The number of clusters was defined by the Elbow Method, after which they were categorized depending on their performance such as high, medium, and low. The results indicate that the classification based on performance provided by the K-Means algorithm can provide insights into marketing practices on Instagram. Consequently, the present research will contribute to the development of digital marketing studies, particularly in the area of content analysis, within the field of data mining.</p>2026-06-15T00:00:00+00:00Copyright (c) 2026 Shelomitha Trinitia Wowor, Christa Gabriella Putri Tumbol, Jimmy Herawan Moedjahedy, Green Arther Sandag