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All Journal J-ESA (Jurnal Ekonomi Syariah) Journal of International Conference Proceedings Malcom: Indonesian Journal of Machine Learning and Computer Science Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Journal of Artificial Intelligence and Digital Business Priviet Social Sciences Journal Jurnal Bisnis dan Pembangunan
Nadila Deryza Syofrin
Politeknik Hasnur
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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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.
Model Integrasi Digital Human Resource Management terhadap Kinerja dan Keunggulan Kompetitif PT XYZ pada Industri Otomotif Nadila Deryza Syofrin; Feddy Wanditya Setiawan
Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Vol. 5 No. 1 (2026): Edisi Agustus
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/factory.v5i1.1956

Abstract

Transformasi digital mendorong organisasi mengintegrasikan teknologi dalam pengelolaan sumber daya manusia melalui penerapan Digital Human Resource Management (DHRM) untuk meningkatkan kinerja organisasi dan memperkuat keunggulan kompetitif. Penelitian ini bertujuan menganalisis pengaruh Digital Human Resource Management terhadap Kinerja Organisasi dan Keunggulan Kompetitif pada PT XYZ di industri otomotif, serta menguji peran mediasi Kinerja Organisasi. Penelitian menggunakan pendekatan kuantitatif dengan metode Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data diperoleh melalui penyebaran kuesioner kepada 250 karyawan yang dipilih menggunakan teknik purposive sampling. Analisis dilakukan menggunakan perangkat lunak SmartPLS 4 melalui evaluasi model pengukuran (outer model), model struktural (inner model), dan pengujian hipotesis menggunakan Bootstrapping. Hasil penelitian menunjukkan bahwa seluruh konstruk memenuhi kriteria validitas dan reliabilitas. Digital Human Resource Management berpengaruh positif dan signifikan terhadap Kinerja Organisasi (β = 0,729; p < 0,001) dan Keunggulan Kompetitif (β = 0,381; p < 0,001). Kinerja Organisasi juga berpengaruh positif dan signifikan terhadap Keunggulan Kompetitif (β = 0,517; p < 0,001) serta berperan sebagai mediator parsial dalam hubungan antara Digital Human Resource Management dan Keunggulan Kompetitif. Nilai koefisien determinasi menunjukkan kemampuan model yang baik, yaitu R² = 0,531 untuk Kinerja Organisasi dan R² = 0,718 untuk Keunggulan Kompetitif. Temuan penelitian menunjukkan bahwa implementasi Digital Human Resource Management yang terintegrasi mampu meningkatkan efektivitas pengelolaan sumber daya manusia, mendorong peningkatan kinerja organisasi, dan memperkuat keunggulan kompetitif perusahaan. Hasil penelitian ini memberikan kontribusi teoretis dalam pengembangan literatur DHRM serta menjadi dasar penyusunan strategi transformasi digital sumber daya manusia pada industri otomotif.
Co-Authors Ahmad Junaidi Ahmad Junaidi Ahmadi Marta Catur Subandi Emha, Putri Aulia Erba, Dhiya Meuthia Faiqah Erba, Dhiyaa Meuthia Faiqah Gemi Ruwanti HAJIJAH, NUR - Juliandi Juliandi Marhusin , Mariyam Mariyam Mariyam mariyam mariyam, mariyam Mariyam Rachman Maryamah, Siti Nugraha, Septianor NUR - HAJIJAH Putri Aulia Emha Sembiring, Malem Pagi Setiawan, Feddy Wanditya Siti Rochmah Siti Rochmah Tesdiq Prigel Kaloka Yanuar Bachtiar