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E. N. Budiyanto Hariandja
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Identifying Key Drivers of Repurchase Intentions for Sari Roti Products Using Binary Logistic Regression Analysis Annisa Liestiani; Ayu Wulandari; E. N. Budiyanto Hariandja; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 4: Juni 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i4.8716

Abstract

This study aims to analyze various factors that influence the repurchase decision of Sari Roti products. The method used in this research is binary logistic regression using the SPSS tool. A sample of 156 consumers was randomly selected. Data was collected through a survey filled out by 156 Sari Roti consumers. The survey results were entered into Microsoft Excel and then normalized. For Independent Variable and Dependent Variable data in the form of text "Yes" or "No", it will be converted into binary numbers, meaning it is represented by the numbers 1 (one) and 0 (zero). Independent Variable data consists of Durability, Reliable Quality, Well-Known Brand, Prestigious Brand, Interested In New Flavors, New And Innovative Products, Sufficiently Many Variants, Affordable Price, Competitive Price, Price Matches The Quality, Value For Money, Promotion Via Facebook, Promotion Via Instagram, Promotion Via Twitter, Promotion Via YouTube, and Promotion Via Website, Influencer Recommendation, Family Recommendation, Friend Recommendation, Good Memory Or Experience, Easily Accessible Store Location, Always Available, Satisfied With Customer Service, Good Reputation, Easy-To-Remember Brand, Good Packaging Condition. While, the Dependent Variable is the Repurchase Intentions. From the research results, it can be concluded that the factors that significantly influence the repurchase decision are Prestigious Brand, Sufficiently Many Variants, and Affordable Price. Other variables do not significantly affect the decision to repurchase Sari Roti products. Based on the binary logistic regression analysis of 156 Sari Roti consumers, it was predicted that 140 consumers would repurchase, and 16 consumers would not, with a data accuracy of 83.3%.
Identifying Customer Segmentation and Persona of Online Transportation Companies in Jabodetabek Using K-Means Clustering Analysis for a More Effective Marketing Strategy E. N. Budiyanto Hariandja; Annisa Liestiani; Ayu Wulandari; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 4: Juni 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i4.8717

Abstract

The demand for online transportation services in Jabodetabek has surged in recent years, driven by urbanization and the need for efficient mobility. This study aims to identify market segmentation through clustering, enabling online transportation companies to uncover detailed consumer personas and develop precise value propositions. Data was collected from 413 respondents via an online survey within the Jabodetabek area and processed with KNIME software. The analysis identified three (3) distinct user groups/clusters: The Minimum Budget Conscious Users, Value-Seeking Occasional Users, and The Established Loyalist Gentleman. Among these, The Established Loyalist Gentleman, characterized by higher income levels and frequent service usage, emerged as the ideal target segment. To attract this segment, personalized marketing strategies focusing on part of the 4Ps marketing mix are proposed. Key initiatives include Comfort and Safety Assurance, offering premium vehicles that are safe, clean, and well-maintained, along with professional drivers for a superior travel experience. Enhanced App Features include advanced safety tools like real-time trip tracking, emergency buttons, and driver identity verification to increase user trust. Ease of Booking ensures a user-friendly app interface with one-click booking and saved routes for convenience. Flexible payment methods and Special Premium Services, such as exclusive discounts for frequent or long-distance trips, further enhance loyalty. These strategies cater to the preferences of this high-value segment, fostering stronger engagement and driving long-term growth in the competitive online transportation market.