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p-Index From 2021 - 2026
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All Journal Technology and Informatics Insight Journal Journal of Digital Business and Management
Heri Mahyuzar
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Penerapan Algoritma K-Means untuk Mengelompokkan Pertumbuhan Penduduk Berdasarkan Kecamatan di Kabupaten Kebumen Kholifah, Kholifah; Heri Mahyuzar
Technology and Informatics Insight Journal Vol. 3 No. 1 (2024): TIIJ
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/tiij.v3i1.963

Abstract

Population growth clustering is a crucial process for analyzing and understanding population patterns. This paper presents research aimed at investigating and analyzing population growth clustering methods in a specific context. The study employs techniques and algorithms such as cluster analysis, hierarchical clustering, and growth models. The research methodology includes the collection of relevant demographic, social, economic, geographical, and cultural data. This data is analyzed using appropriate statistical methods to identify significant patterns and population structures. The findings offer valuable insights into the distribution and structure of the population, focusing on the application of the K-Means algorithm for clustering population growth based on sub-districts in Kebumen Regency. These findings can support development planning, social policies, and resource management. This study significantly contributes to the understanding and practice of population growth clustering, providing an important reference for researchers, practitioners, and policymakers interested in clustering and analyzing populations across various geographical and social contexts. Keywords:Population Clustering, Cluster Analysis, Hierarchical Clustering, Model-Based Clustering, Population Patterns.
PENGARUH E-WOM DALAM MEMEDIASI HUBUNGAN ANTARA DIGITAL MARKETING ACTIVITIES DAN INTENTION TO BUY DI TOKOPEDIA Heri Mahyuzar; Tundo, Tundo
Journal of Digital Business and Management Vol. 1 No. 2 (2022): Journal of Digital Business and Management
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/jdbm.v1i2.182

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh electronic word of mouth (E-WOM) dalam memediasi hubungan antara digital marketing activities dan intention to buy di Tokopedia. Populasi pada penelitian ini adalah semua pengguna Tokopedia di Indonesia. Adapun sampel penelitian yang digunakan pada penelitian ini sebanyak 100 responden yang dipilih berdasarkan convinience sampling. Teknik pengumpulan data dalam penelitian ini menggunakan metode survey dengan cara mengirimkan kuesioner kepada responden. Alat analisis yang digunakan adalah SEM AMOS. Berdasarkan analisis yang telah dilakukan diperoleh bahwa content marketing berpengaruh positif signifikan terhadap electronic word of mouth (E-WOM). Electronic Promotion berpengaruh positif signifikan terhadap electronic word of mouth (E-WOM). Electronic word of mouth (E-WOM) berpengaruh positif signifikan terhadap intention to buy. Sedangkan electronic word of mouth (E-WOM) dapat memediasi hubungan antara digital marketing dan intention to buy.
Co-Authors Kholifah Kholifah Tundo, Tundo