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All Journal Journal of Information Systems and Informatics Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Maharani, Revalyna Octavia
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

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Penerapan K-Means Clustering Untuk Mengelompokan Tingkat Kemiskinan Di Provinsi Kalimantan Barat Cahyo, Samsul Dwi; Wahyuni, Irmawati Tri; Maharani, Revalyna Octavia; Nurfaizi, Maulana; Saputro, Rujianto Eko; Tarwoto, T
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.855

Abstract

This study aims to use the K-means clustering algorithm to categorize poverty levels in the West Kalimantan province. The data used for clustering represents poverty levels across four districts: Melawi, Kapuas Hulu, Sekadau, and Kayong Utara. The K-means clustering method is employed to group these districts based on similarities in their poverty levels. The clustering results reveal four distinct categories of poverty levels: Cluster 0 represents areas with very high poverty rates; Cluster 1 shows Melawi with a high poverty rate; Cluster 2 includes Sambas, Kapuas Hulu, and Sintang, with relatively low poverty rates; and Cluster 3 includes Landak, Sanggau, and Ketapang, with high poverty rates. The analysis reveals interesting patterns in the distribution of poverty across West Kalimantan, which can assist local governments in designing more effective policies for poverty reduction. This study makes a significant contribution to understanding poverty dynamics in West Kalimantan and provides a basis for more efficient decision-making in poverty alleviation efforts.
AIDA-Based Analysis of TikTok Live Marketing at Bin Dawood Boutique Purwokerto Maharani, Revalyna Octavia; Pritama, Argiyan Dwi; Oktaviana, Luzi Dwi
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1339

Abstract

This study aims to analyze the TikTok Live strategy implemented by Bin Dawood Butik Purwokerto using the AIDA model as an analytical framework. This research employed a descriptive qualitative design, through observations of 10 TikTok Live sessions, in-depth interviews with a marketing administrator and a live host, and documentation. Data were analyzed through reduction, presentation, and conclusion drawing based on the AIDA framework, with triangulation applied to ensure validity. Bin Dawood Boutique’s TikTok Live strategy effectively implements the AIDA model. The attention stage is built through persuasive greetings, engaging visuals, and broadcast scheduling that aligns with audience activity patterns. The interest stage is strengthened through the use of TikTok’s interactive features and the delivery of clear, responsive product information. The desire stage develops through host transparency, emphasizing product benefits, and strategic urgency. The action stage is driven by the use of clear CTAs and seasonal factors, such as the Eid al-Fitr period and payday, which encourage consumers to make transactions. Cumulative TikTok sales reached more than 26,900 products, confirming TikTok Live’s significant contribution to overall sales performance. This study provides an empirical overview of how a local fashion business operationalizes each stage of the AIDA model on TikTok Live. As a limitation, the study focuses on a single case and relies on qualitative data, which may constrain generalization.
Co-Authors Cahyo, Samsul Dwi Nurfaizi, Maulana Oktaviana, Luzi Dwi Pritama, Argiyan Dwi Rujianto Eko Saputro Tarwoto, T Wahyuni, Irmawati Tri