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All Journal Journal of Business & Banking International Journal of Economics Development Research (IJEDR)
Basuki Rachmat
Universitas Hayam Wuruk Perbanas
Economics, Econometrics & Finance Social Sciences

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Faktor yang mempengaruhi adopsi dengan mediasi peran intention to use mandiri mobile banking di Surabaya Dimaz Brahmantyo Hari Pratama Putra; Basuki Rachmat
Journal of Business & Banking Vol 11, No 2 (2021): November 2021 - April 2022
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jbb.v11i2.2795

Abstract

This study was aimed to determine the effect of the perceived usefulness, perceived ease of use, perceived Trust, Social Influence, perceived risk, and Perceived Security on Adoption, with the Mediation Role of Intention to Use Mobile banking by Bank Mandiri Customers in Surabaya. This is a quantitative research with survey approach with the sample of 180 respondents. They were taken from from Bank Mandiri customers in Surabaya who have used Mobile banking services. The data were analyzed and the hypotheses were tested using the structural equation model method with the Smart-PLS program. The result showed that each of Perceived Usefulness, Perceived Ease of Use, Perceived Trust, Social Influence, Perceived risk, and Perceived Security had a significant effect on Intention to Use. Meanwhile, Intention to Use has a significant effect on Adoption. Each independent variables, namely Perceived Usefulness, Perceived Ease of Use, Perceived Trust, Social Influence, Perceived risk, and Perceived Security toward Adoption is mediated by Intention to Use. It can be implied that the important role of Intention to Use Mobile banking which must be continuously encouraged by Bank Mandiri. Intention to Use can push effect of Perceived Usefulness, Perceived Ease of Use, Perceived Trust, Social Influence, Perceived risk, and Perceived Security on Mobile banking Adoption at Bank Mandiri in Surabaya. 
B2B Customer Segmentation Based on Customer Lifetime Value Concept and RFM Modeling Fakhruddin Agung Laksono; Basuki Rachmat; Yudi Sutasrso
International Journal of Economics Development Research (IJEDR) Vol. 5 No. 1 (2024): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i1.4295

Abstract

The company has limited resources to use in implementing marketing strategies for its customers. The first step to be able to develop an effective and efficient marketing strategy is to divide customers into several large groups based on their similarities. The company needs to allocate its limited resources proportionally to groups of customers based on the value and benefits that those customers can contribute to the company. One of the bases for customer grouping is based on the concept of Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM) modeling. CLV ratings show how much value and benefits customers can bring to a company. This study conducted a cluster analysis with the K-means algorithm on 351 customers based on their RFM value. The number of clusters is most effectively obtained through the elbow method. Cluster analysis produces 4 customer clusters that have different characteristics and are ranked based on their CLV values. Cluster names and marketing strategy recommendations for each cluster are arranged based on their characteristics and CLV rating. The four clusters formed are the Non-Valuable Customers cluster, VIP Customers cluster, Valuable Customers cluster, and Potentially Valuable Customers cluster.
Co-Authors Dimaz Brahmantyo Hari Pratama Putra Fakhruddin Agung Laksono Yudi Sutasrso