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All Journal Bina Bangsa International Journal of Business and Management JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ramadhani, Salsabilla
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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DEFINITION AND SCOPE OF POVERTY ECONOMICS AND DEMOGRAPHICS Isnarini, Eka; Manalu, Rani Wanti; Ramadhani, Salsabilla
Bina Bangsa International Journal of Business and Management Vol. 4 No. 3 (2024): Bina Bangsa International Journal of Business and Management
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bbijbm.v4i3.108

Abstract

This study aims to identify various factors influencing the socio-economic conditions in Indonesia, with a focus on poverty, urbanization, and their impact on economic development. A variety of relevant literature is used to understand this phenomenon, including studies on urbanization, social inequality and its effects on population growth. Poverty is one of the main focal points, with analysis from several sources as well as the crucial role of education and health in improving human resource quality. This study also examines population control policies and their impact on economic development, as discussed by various authors. The findings from this analysis are expected to provide a better understanding of the challenges faced by Indonesia in reducing socio-economic inequality, as well as offering more effective policy recommendations for achieving sustainable development.
Implementasi K-Means dalam Segmentasi Pelanggan Usaha Aluminium dan Kaca Berdasarkan Perilaku Pembelian Ramadhani, Salsabilla; Pandunata, Priza; Arifin, Fajrin Nurman
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 2 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i2.9533

Abstract

— Mulia Jasa Aluminium dan Kaca is a business in the retail and service sector, offering Aluminium and glass materials and services for manufacturing, installation, and repair. Currently, competition in this field is quite intense, leading the business owner to admit difficulties in increasing sales. Therefore, the business owner needs to implement marketing and service strategies to boost sales. However, the diversity of customers with varying characteristics and behaviors makes it challenging to establish effective marketing and service strategies. Thus, this study conducts customer segmentation based on purchasing behavior. The aim is to understand customer behavior and loyalty using sales report data from the business. The variables used to assess a customer's value are Length, Recency, Frequency, and Monetary (LRFM). These variables are grouped using the K-means clustering algorithm. The objective of this study is to group customers based on their purchasing behavior, thereby assisting the business in developing more effective marketing and service strategies, enhancing customer satisfaction, and ultimately increasing sales and loyalty. Using the Silhouette method to determine the optimal number of clusters, three customer groups were identified, with the highest coefficient value of 0.663063. Cluster 0 is the “Lost Customer Group”, Cluster 1 is the “New Customer Group”, and Cluster 2 is the “Core Customer Group”.  
Co-Authors Arifin, Fajrin Nurman Isnarini, Eka Manalu, Rani Wanti Priza Pandunata