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K-Means and Decision Tree Models for Analysis Students Perception of Digital Marketing Tesdiq Prigel Kaloka; Ahmadi Marta; Mariyam Mariyam; Nadila Deryza Syofrin
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2360

Abstract

Amid intensifying competition among educational institutions and the rapid expansion of digital platforms, schools must adopt effective digital marketing strategies to attract prospective students. This research examines students’ perceptions of the implementation of digital marketing at the Global Islamic Boarding School (GIBS) in Barito Kuala Regency, South Kalimantan, Indonesia. Data were collected from 95 students using a structured questionnaire comprising 20 variables related to digital marketing and word-of-mouth communication. A hybrid analytical framework integrating K-Means Clustering and Decision Tree analysis was employed to identify perception-based segments and determine key differentiating indicators. The Elbow method indicated an optimal three-cluster solution, resulting in highly positive, negative, and moderate perception groups. Decision Tree results revealed that engaging content (B7), social media stability (B12), and invitation to attend school (C19) were the most influential variables distinguishing clusters, with satisfactory classification performance supporting the robustness of the segmentation. The findings suggest that emotionally engaging and experientially rich content plays a more decisive role in shaping student perceptions than purely technical aspects of digital media management. Accordingly, schools should optimize their digital marketing strategies by emphasizing authentic student experiences, maintaining consistent, stable online communication, and incorporating persuasive calls to action to enhance prospective students’ interest.
Pengaruh Sistem Keuangan Digital, Literasi Keuangan, Dan Akses Permodalan Terhadap Kinerja Keuangan Usaha Mikro, Kecil, Dan Menengah Di Kalimantan Selatan Muhammad Rizalun Nashoha; Tesdiq Prigel Kaloka; Hamrani Hamrani
Interdisciplinary Explorations in Research Journal Vol. 4 No. 2 (2026)
Publisher : PT. Sharia Journal and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62976/ierj.v4i2.1932

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh sistem keuangan digital, literasi keuangan, dan akses permodalan terhadap kinerja keuangan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kalimantan Selatan. Penelitian menggunakan pendekatan kuantitatif dengan teknik survei terhadap 136 responden UMKM yang dipilih melalui stratified random sampling dari tiga wilayah utama Kalimantan Selatan. Data dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan software SmartPLS v4.0. Evaluasi model pengukuran menunjukkan seluruh indikator memenuhi kriteria outer loading > 0,70, AVE > 0,50, Composite Reliability > 0,70, dan HTMT < 0,90. Hasil pengujian model struktural melalui bootstrapping (5.000 subsampel) menunjukkan bahwa: (1) sistem keuangan digital berpengaruh positif dan signifikan terhadap kinerja keuangan UMKM (β=0,412; T=4,872; p<0,01); (2) literasi keuangan berpengaruh positif dan signifikan (β=0,318; T=3,614; p<0,01); (3) akses permodalan berpengaruh positif dan signifikan (β=0,276; T=3,187; p<0,01); dan (4) ketiga variabel mampu menjelaskan 69,8% variasi kinerja keuangan UMKM (R²=0,698; Q²=0,387). Temuan ini mengimplikasikan perlunya kebijakan terpadu yang mengintegrasikan literasi digital keuangan dengan program pembiayaan inklusif untuk mendorong ketahanan ekonomi UMKM di Kalimantan Selatan.