Integration and Maintenance of Descriptive Statistics Web-Based Applications to Support Statistical Learning

DOI

10.2991/978-94-6463-882-0_35How to use a DOI?

Keywords

Descriptive Statistics; Integration and Maintenance; Web Application

Abstract

Statistics is divided into descriptive statistics and analytical statistics. Descriptive statistics are responsible for collecting, classifying, processing, and presenting quantitative data. Furthermore, analytical statistics performs the task of analyzing, interpreting, and drawing conclusions from the data. From the processing process, data can be divided into two parts: ungrouped data and grouped data. Ungrouped data is data that has not been arranged according to its group. In contrast, grouped data is data that is classified based on a certain order, usually in the form of a frequency distribution (FD) table. The form of processing these two types of data statistically has very different characteristics. Researchers have previously developed descriptive statistics applications for both raw data and frequency distribution data in their research. The two applications produced are still separate, so they cannot be used as a complete application unit. Additionally, several weaknesses persist in the two applications, including those in data management and analysis sequences. This study aims to integrate and maintain both applications, making them comprehensive and systematic, thereby enhancing their ease of use in learning and ultimately improving learning outcomes. The method used in this study is the Waterfall, a software development method consisting of analysis, design, coding, testing, and maintenance. The results are presented in the form of a comprehensive application of concentration size analysis, dispersion size analysis, and other analyses, including both ungrouped data and grouped data, and detail the steps taken to solve the problem.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I Gusti Agung Sadnyana Putra
AU  - I Ketut Suja
AU  - I Gusti Agung Ayu Uttami Vishnu Putri
PY  - 2025
DA  - 2025/11/14
TI  - Integration and Maintenance of Descriptive Statistics Web-Based Applications to Support Statistical Learning
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Social Applied Science 2025 (ICOSTAS-SAS 2025)
PB  - Atlantis Press
SP  - 304
EP  - 311
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-94-6463-882-0_35
DO  - 10.2991/978-94-6463-882-0_35
ID  - Putra2025
ER  -