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Journal : Journal La Multiapp

Implementation K-Means Algorithm in Promotional Media Destination Tour Minahasa Web Based Moningkey, Efraim; Rantung, Vivi Peggie; Surbakti, Peliks Andreas
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2659

Abstract

Minahasa Regency has great tourism potential with a variety of destinations including cultural, natural, and man-made tourism. However, tourism promotion efforts still face obstacles due to the lack of integrated media capable of grouping destination information based on tourist interests and preferences. This study aims to apply the K-Means clustering algorithm in web-based promotional media to group Minahasa tourist destinations based on the level of user interaction, which is represented by the number of likes and comments on promotional content for each destination. The research method is carried out through several stages, namely collecting tourist destination data, pre-processing interaction data, implementing the K-Means algorithm with a specified number of clusters of three according to the main categories of tourismcultural, natural, and man-made), and implementing the clustering results into a web-based evaluation system that uses the Silhouette Coefficient to evaluate the quality of cluster formation. The results show that the K-Means algorithm is able to effectively group tourist destinations into three clusters that reflect the level of popularity, making it easier for users to find destination recommendations according to their interests. Implementation in a web-based system also provides an interactive display in the form of a list of destinations per cluster and recommendations for popular destinations. Thus, this study proves that the application of K-Means can increase the effectiveness of Minahasa tourism promotion, and in the future it can be developed with the integration of real-time data from social media and comparison with other clustering algorithms.
Co-Authors Abimanyu Marvie Dwisuprapto Andrew C. J. Mangkey Andrew Christensen Jehezkiel Mangkey Ayu Triana Situmorang Christofel Owen Tendean Chrysilia Rimbing Cindy Pamela C Munaiseche Civita Loho Conggresco, Sherly Dalle, Asnir Daniel Riano Kaparang Dodu , Albertch Yordanus Erwin Enjelina Enjelina Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Gideon Febri Tuuk Gladly Caren Rorimpandey Glen D. P. Maramis Glendy Koleangan Hajra Rasmita Ngemba Hiskia Kamang Manggopa Inda, Inda Kakahis, Frimer Karamoy, Beauty Leony Karu, Glenn Tyovanny Jeremy Kristofel Santa Lintine, Gabriella Bamba Ratih Lipan, Kezia Luckie Sojow Mandas, Laura Rebeca Mangkey, Andrew Christensen Jehezkiel Marcelliano Riccardy Anantho Omega Kalitouw Mario Tulenan Parinsi Medea, Mega Jayanti Menden, Lisa Meyly Olivia Worang Michella Undap Moningkey, Efraim Nancy Sylvia Bawiling Nanda, Agus Estepen Olivia Kembuan P. Dominggo, Nenita Pandoh, Kevin Mclaren Pangaila, Engelina Ester Pangaila, Joshua Johanes Natanael parabelem tinno dolf rompas Penidas Fodinggo Tanaem Polii, Christiano Febriano Allesandro Franko Putra Ramadhan, Adjie Quido Conferti Kainde Ramba, Rima Ramdan Adjis Ratumbuisang, Yosua Fitsgerald Rettob, Mario Rettob Rosmala Nur Shania Kaparang Simbala, Akmal Situmorang, Ayu Triana Sondy C. Kumajas Stevanus Alfius Falentino Kembuan Supit, Mesiasi Anjelika Surbakti, Peliks Andreas Syaiful Hendra Tambajong, Karmel Daud Tamboto, Gabriel Trudi Komansilan Wongkar, Abdiel Jeremia Winston Worang, Meyly Olivia Wowor, Hanna Elisabeth Wuntu, Lucky