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Mega Cattleya Prameswari Anissa Islami
Department of Industrial Engineering, Faculty of Engineering, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Assessment of Service Quality in Community Health Center Using Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) Endang Pudji Widjajati; Mega Cattleya Prameswari Anissa Islami
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2704

Abstract

The spread of the virus makes the presence of health facilities very important. The public health center must provide health services to improve the health status of the community. Its operation, there are several complaints about the existing facilities at the Kedamean Gresik Health Center, so it is necessary to research the quality of service in that place. The purpose of this study is to analyze the value of service satisfaction and determine the attributes that need to be evaluated to improve services at the public health center. Data was collected by distributing questionnaires to 100 respondents who were patients at the public health center. The data obtained were processed using the Customer Satisfaction Index (CSI) and Importance-Performance Analysis (IPA) methods. The results showed a customer satisfaction index of 70.8% which means that customers at the Kedamean Gresik Health Center are satisfied with the services provided, but it is necessary to make improvements in certain attributes. Based on the results of the analysis of attributes that need to be improved, they consist of A3, B2, B3, C2, C3, and E1 in quadrant B, and service attributes consisting of A2, A4, C1, and D1 in quadrant A.
Analysis of Data Mining at Supermarket X in Surabaya Using Market Basket Analysis to Determine Consumer Buying Patterns Akmal Suryadi; Mega Cattleya Prameswari Anissa Islami
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2705

Abstract

The most common lifestyle change during the Covid-19 pandemic is an increase in people's purchasing power. The strategy that sellers need to pay attention to is product placement. Product placement in stores on a small or large scale is one of the strategies that can affect consumer purchasing decisions. One supermarket in Surabaya experienced an increase in transactions during the pandemic, but there are some products whose sales are not as high as other products due to product placement that is not by the type or function so that when customers want to buy products they have to look for them first, this is not uncommon. customers do not shop or buy products which result in lower transactions and lower supermarket profits. So this research was conducted to provide recommendations for product placement in a layout that suits consumers' wishes, grouping products based on consumer buying habits, and reduce search time. This research was conducted using the Market Basket Analysis (MBA) method. From the results, there are 19 rules which indicate that some products will be purchased if placed close to other products with a 100% confidence level.
Co-Authors Akmal Suryadi Endang Pudji Widjajati