Web-Based Application of Descriptive Statistics for Analysis of Concentration Measures in the Form Data of Frequency Distributions
I Gusti Agung Sadnyana Putra (),
I Ketut Suja and
I Gusti Agung Ayu Uttami Vishnu Putri
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I Gusti Agung Sadnyana Putra: Politeknik Negeri Bali, Tourism Department
I Ketut Suja: Politeknik Negeri Bali, Tourism Department
I Gusti Agung Ayu Uttami Vishnu Putri: Stikom Institute of Technology and Business, Information Systems Study Program
A chapter in Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Social Applied Science 2024 (ICoSTAS-SAS 2024), 2024, pp 467-474 from Springer
Abstract:
Abstract Statistical science consists of descriptive statistics and analytical statistics. The first part aims to carry out calculations on existing data, without making inferences or generalizations. Next, the second part is for interpretation and concluding the data. If we look at the processing process, data can be divided into ungrouped and grouped. Ungrouped is data that has not been arranged according to its groups, while grouped is data that has been classified based on a certain order, usually in the form of a frequency distribution table (FD). The processing of these two types of data statistically has very different characteristics. In this research, data processing was carried out for data of FD, especially regarding data centralization analysis. Statistical applications have been developed, but so far no statistical application has been found that processes FD. Apart from that, the application directly displays the final results without showing the calculations to obtain the final results. This research develops a descriptive statistical application for group data of FD and contains detailed steps for solving it. Waterfall is the method used in this research, consisting of requirements analysis, design, implementation, integration and testing, deployment, and maintenance. The results are in the form of concentration size analysis, distribution size analysis, and other analyses which will show in detail the steps for solving the problem by including the title, theory, formula, and detailed calculation steps to get the final result. The research results specifically presented in this article are analysis of centrality measures.
Keywords: Web Based Applications; Descriptive Statistics; Measures of Centralization; Frequency Distribution Data (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-622-2_51
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DOI: 10.2991/978-94-6463-622-2_51
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