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Journal : J-CEKI

Mobile Phone Preferences Segmentation Using The K-Means Clustering in Indonesia Annisa Nurwanda Putri; Pratiwi, Pratiwi; Putri Syifa Humaira; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 3: April 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i3.8123

Abstract

This study investigates consumer preferences for mobile phones in Indonesia using the K- Means Clustering method. Data from 114 respondents were analyzed to identify key characteristics and preferences, focusing on variables such as age, gender, income, brand, and features like storage, connectivity, design, and accessories. The results revealed six distinct clusters, each representing unique consumer segments, such as Tech-Savvy Seekers, Secure Tech Enthusiasts, Performance Prioritizers, Security-Centric Pragmatists, Style-Savvy Connectors, and Endurance Seekers. The segmentation process highlights significant differences in consumer behavior, with some clusters emphasizing high performance and advanced connectivity features, while others prioritize affordability, security, and design. Based on the STP (Segmentation, Targeting, Positioning) framework, two target segments were identified: Tech-Savvy Seekers and Endurance Seekers. These segments were selected due to their high purchasing power and strong demand for premium mobile phone features, including long battery life and powerful performance. The proposed value proposition for these target segments is "Empower Your Mobile Experience with High-End Performance and Unmatched Battery Life," emphasizing key product features that align with their preferences. Additionally, this study incorporates the 7Ps marketing mix to offer practical recommendations on product development, pricing strategies, distribution channels, promotional efforts, customer service, purchasing processes, and physical evidence. These findings provide valuable insights for businesses to develop targeted marketing strategies that better address the diverse needs of Indonesian mobile phone consumers.
Analysis of Factors Influencing Consumers in using Loyalty Rewards Programs in Indonesian Convenience Stores using Binary Logistic Regression Method Putri Syifa Humaira; Annisa Nurwanda Putri; Pratiwi, Pratiwi; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 3: April 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i3.8124

Abstract

This research aims to analyze the factors that influence consumers in using loyalty rewards programs at minimarket retailers in Indonesia. With the backdrop of intense competition in the retail sector, loyalty rewards programs have become one of the main strategies to enhance customer loyalty. This study adopts a quantitative approach using binary logistic regression method to evaluate the influence of the Product, Price, Promotion, and Process variables from the 7P marketing concept on consumer participation. Data were obtained through an online survey of 148 respondents who are consumers of minimarkets with access to the loyalty rewards program. The analysis results show that the Price variable (represented by psychological loyalty), Promotion (represented by product information), and Process (represented by user-friendliness and repeat purchase) have a significant influence on the use of the program. The resulting regression model shows an accuracy of 81.8%, with these variables being the main predictors. The conclusion of this research emphasizes the importance of developing strategies that strengthen the emotional value of the program, optimize promotions, and simplify the program usage process to enhance the effectiveness of the loyalty rewards program. Practical recommendations include exclusive offers for loyal customers, promotions using various digital channels, and integrating the Loyalty Rewards program with digital applications or payment systems to make it easier for consumers to monitor and redeem points, in order to create sustainable added value for both customers and the company.