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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Politik Indonesia (Indonesian Journal of Politics)
Sekar Ndini, Ayu
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Humanities Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Sikap politik perempuan pada Pemilu legislatif tahun 2019 Sekar Ndini, Ayu; M. Japar; Martono, Agus
Jurnal Politik Indonesia (Indonesian Journal of Politics) Vol. 10 No. 2 (2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jpi.v10i2.55115

Abstract

This study aims to obtain empirical data about the relationship between political attitudes and women's political participation in the 2019 legislative elections. The method used is explanatory research methods. The population of this study was 241 and the sample used was 84 people from 20% of the population. The sampling technique uses simple random sampling. The product-moment correlation hypothesis test that produces a correlation coefficient of 0,429 and r-table for 84 respondents is 0,215 with a confidence level of 95%. With the coefficient of determination obtained at 18,4%. In conclusions, there is a positive relationship between political attitudes and women's political participation in the 2019 legislative election at Srengseng, Kembangan, West Jakarta.
Segmentation K-Means Clustering Model With SPSS Program Case Study Customer the Park Mall Sawangan Mulyono, Rynto; Sekar Ndini, Ayu; Kharisma, Gilang; Heikal, Jerry
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.363 KB) | DOI: 10.36418/syntax-literate.v8i2.11429

Abstract

In a transitioning word, specially in mall property industry, a winning strategy comes from anticipating with people needs and desires, understanding them in the most holistic way possible. The 7P marketing mix refined by Booms and Bitner in 1981 which consists of elements of Product, Price, Place, Promotion, People, Physical evidence, Processes and additional Partnerships, is a tool for analyzing existing market conditions in more depth. In addition, to meet customer wants, needs, and satisfaction refers to the market environment, both external and internal. This research succeeded in modeling customer segmentation based on clustering data mining techniques with K-Means analysis using the SPSS program. Based on the analysis results obtained, there are 3 clusters, namely clusters: consumptive customer, potential customer, and standard young customer. From the results of this study, we get the personas that emerge as a result of this clustering analysis, and identify the needs, desires, and preferences of the cluster that is formed. We choose to develop tactic 8Ps marketing mix for cluster potential customer.
Co-Authors Agus Martono Heikal, Jerry kharisma, Gilang M. Japar Mulyono, Rynto