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PENERAPAN K-MEANS DALAM PENGELOMPOKAN DATA POLIS ASURANSI KENDARAAN BERMOTOR DI PT JASARAHARJA PUTERA Utami, Winda Putri; Handoko, Koko
Computer Science and Industrial Engineering Vol 3 No 1 (2020): comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Motor Vehicle Insurance Policy is one of the insurance products at PT Jasaraharja Putera, being an insurance company certainly has a lot of data that causes that will only take place and make a large pile of records for that can be used to obtain information as product development and can be used as a target to get company income. The concept of the method used in this study is the K-Means Clustering method, this method is the most common and simple, which has the ability to group large enough data to be more efficient which aims to create information or add and find information from the data held. In this study the data is used to group Motor Vehicle Insurance Policy data from 2017 to 2019 apply the RapidMiner application. The test results obtained in the last iteration for the first cluster are 15 data, the second cluster is 6 data, the third cluster is 1 data, and the fourth cluster is 3 data. Based on the results of research on sample data, it can be seen that public interest in insurance is needed to develop insurance product marketing in order to increase the company's tagit and increase company revenue.
Analysis of Factors Influencing Trust and its Impact on Repurchase Intention in C2C E-Commerce in Indonesia Azizah, Riska Nur; Pramukti, Wahyoe; Utami, Winda Putri
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i7.16808

Abstract

The use of the internet has transformed individual shopping behaviors, shifting from traditional shopping patterns or visiting physical stores to shopping through online platforms or e-commerce. This behavioral change has undeniably had a significant impact on the retail industry and consumers at large. With the increasing number of e-commerce users, especially in the C2C (consumer to consumer) sector, market competition is becoming more intense. This study focuses on analyzing certain factors such as website appearance, ease of use, free shipping policy, return policy, POD mode of payment, and security that can influence customer trust and its impact on repurchase intention. Data collection was conducted through the distribution of online questionnaires in the Jabodetabek area to customers who had made online purchases in the last three months, using a purposive sampling method with a total of 228 respondents. The research method analysis used the PLS-SEM method. The results of this study indicate that website appearance, free shipping policy, return policy, and security have a positive and significant effect on trust. Meanwhile, ease of use and POD mode of payment have a positive but not significant effect on trust. Furthermore, trust has a positive and significant impact on repurchase intention. This study plays a role for C2C e-commerce management in increasing consumer trust, especially among the millennial generation, and its impact on repurchase intention.