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All Journal Enrichment : Journal of Management International Journal of Management Science and Information Technology (IJMSIT)
Sulaeman, Lambok Rommy
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Influence of service quality and marketing mix on customer satisfaction with online bank partners Pebiansyah, Ade Oki; Sulaeman, Lambok Rommy; Utama, Deni; khoirun nisa, Salsabila
Enrichment : Journal of Management Vol. 14 No. 5 (2024): December: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v14i5.2111

Abstract

Business competition in this era of globalization and industrial revolution 4.0 develop recently quickly and more competitive. Especially in Payment Point Online Bank (PPOB) industry that currently having a wide market. The Collect Agent should foster innovation and enhance creativity to encourage repeat transactions from customers at the Payment Point Online Bank (PPOB) company. This research aims to review and analyze the impact of service quality and marketing mix on the customer satisfaction of PT. XYZ's partners. This research employs both descriptive and verificative approaches based on the dependent variable being studied. The descriptive research provides an overview of the service quality at XYZ Company in Bandung, focusing on customer satisfaction levels. Conversely, the verificative aspect aims to test the hypothesis derived from field data collection. Through this research, we will assess and critically evaluate whether there is an influence of service quality and marketing mix on customer satisfaction at XYZ Company in Bandung. Service quality in partial can influences customer satisfaction. Promotional Mix in partial can influences customer satisfaction, Kualitas Pelayanan and Promotional Mix simultaneously had an influence on customer satisfaction , with the percentage the influence of as much as 68,7 %.
Tableau-Based Business Intelligence Analysis For the 4P Strategy and Product Sales KPIs in Vending Machines at Minori Group Sulaeman, Lambok Rommy; Kumoro, Chowal Jundy; Maulana, Syaban; Rabbani, Davina Clarissa
International Journal of Management Science and Information Technology Vol. 5 No. 2 (2025): July - December 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v5i2.5979

Abstract

This study aims to analyze the application of Business Intelligence (BI) using Tableau in supporting data-driven decision making in the marketing mix strategy (4Ps) and Key Performance Indicators (KPIs) for vending machine product sales at Minori Group. With the increasing need for efficiency and competition in the South Cikarang industrial area, Minori Group faces challenges in integrating marketing and sales data scattered across various sources. The research method used is a descriptive quantitative approach with the following stages: data collection from vending machine applications, data cleaning using Excel, integration into Tableau for visual analysis, interpretation of visualization results, and preparation of strategic recommendations. The results show that visualization with Tableau is able to provide a comprehensive picture of product performance based on the aspects of Product, Price, Place, and Promotion. The main findings show that inconsistent product placement per slot (BIN) causes sales analysis to be less accurate, while KPI calculations reveal significant variations in performance between products. Tableau has proven to be effective in helping management identify sales patterns, high-performing products, and areas that need to be optimized through promotional strategies and slot rearrangement. The integration of Marketing Mix theory, Business Intelligence, and Technology Acceptance Model (TAM) confirms that Tableau not only serves as a visualization tool, but also as a strategic platform in building a data-driven organizational culture. The implementation of BI through Tableau is expected to increase marketing effectiveness, operational efficiency, and company profitability.
Co-Authors Ade Oki Pebiansyah khoirun nisa, Salsabila Kumoro, Chowal Jundy Maulana, Syaban Rabbani, Davina Clarissa Utama, Deni