DATA SCORING INDICATOR: QUANTIZING FORMULATION

Authors

  • NOR IZHAM SUBRI Universiti Islam Perlis
  • ABDUL GHAFUR HANAFI Islamic College University of Perlis
  • MUHD ZAKI SHAHABUDDIN
  • IZWAN NURLI MAT BISTAMAN

DOI:

https://doi.org/10.31436/jisdt.v5i1.339

Keywords:

Data Scoring, Qualitative, Qualitative Data Attribute, Quantitative, Quantizing

Abstract

When a subjective form of the topic needs to be investigated, qualitative research has been a popular choice among researchers. However, when it comes to qualitative data analysis, there are just a few methods. The goal of this study is to look into the gap between qualitative data analysis methods and come up with an alternative method for qualitative research. A hybrid Approach with Survey and Rapid Application Development will be employed as the research methodology (RAD). A prototype formula will be created, and the data from the survey will be tested using the formula to determine whether the data is positive, negative, or neutral. The data will next be analysed to determine whether the survey is inclined towards a positive, negative, or neutral outcome. The result can be studied objectively rather than subjectively by transforming qualitative data into quantitative data. As a result, we propose this study to look into the capabilities and potential of this novel method as a viable qualitative methodology. The developed formula will be shown to be capable of transforming qualitative into quantitative at the conclusion of this study.

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Published

2023-06-05

How to Cite

SUBRI, N. I., HANAFI, A. G., SHAHABUDDIN, M. Z., & MAT BISTAMAN, I. N. (2023). DATA SCORING INDICATOR: QUANTIZING FORMULATION. Journal of Information Systems and Digital Technologies, 5(1), 90–100. https://doi.org/10.31436/jisdt.v5i1.339