Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal INTERDISIPLIN: Journal of Qualitative and Quantitative Research
Harkat Hadi Saputra
Unknown Affiliation
Religion Humanities Education Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Study of Quantitative, Qualitative, and Mixed Methods Data Analysis Techniques in Indonesian National Journal Articles: Systematic Literature Review Muhammad Raihan As Syauqi; Bayu Bambang Nurfauji; Harkat Hadi Saputra; Yohanna Zuriyah; Tedi Priatna
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 1 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i1.144

Abstract

Data analysis techniques play a crucial role in scientific research as they determine the validity and quality of research findings. Recent developments in Indonesian research indicate an increasing diversity in the use of quantitative, qualitative, and mixed data analysis techniques. Therefore, a comprehensive review is required to systematically examine these developments. This study aims to analyze quantitative and qualitative data analysis techniques used in Indonesian national journal articles. The research employs a Systematic Literature Review (SLR) method by examining national journal articles published in Indonesia from 2021 to 2025. The SLR process was conducted through several stages, including the formulation of research questions, systematic literature searching, article selection based on inclusion and exclusion criteria, and data synthesis and analysis. The results indicate that quantitative data analysis techniques remain dominant, particularly descriptive statistics, regression analysis, correlation analysis, and analysis of variance. Meanwhile, qualitative data analysis techniques such as thematic analysis, narrative analysis, and content analysis are widely used to obtain an in-depth understanding of research phenomena. In addition, the use of mixed methods approaches has shown a growing trend, as they provide more comprehensive and robust research findings. This study is expected to serve as a methodological reference for researchers in selecting appropriate data analysis techniques based on research objectives and data characteristics.
Co-Authors Bayu Bambang Nurfauji Muhammad Raihan As Syauqi Tedi Priatna Yohanna Zuriyah