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INTERDISIPLIN: Journal of Qualitative and Quantitative Research
Published by Penerbit Hellow Pustaka
ISSN : -     EISSN : 30314828     DOI : https://doi.org/10.61166/interdisiplin
Core Subject : Religion, Humanities, Education, Social,
Religion Humanities Education Law, Crime, Criminology & Criminal Justice Social Sciences
The aim of this journal publication is to disseminate the conceptual thoughts or ideas and research results that have been achieved in the area of Qualitative and Quantitative Research particularly focuses on the main problems in the development of the sciences of Qualitative and Quantitative Research areas as follows: Qualitative Research Sociology, Anthropology, Social Welfare, Communication, Public Policy, Education, Law, Health Science, Psychology, Criminology, History, Religious studies, and Political Science, Administrative Studies and related to other social sciences and humanities that use a qualitative approach. Quantitative Research Data Analysis, Mathematics, Information Technology, Computing and Information, education, energy, finance, management, government, health services, manufacturing industries, mining, sports, and transportation and related to other sciences that use a Quantitative approach.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "vol. 3 no. 4 (2026)" : 7 Documents clear
Environmental Impact Assessment (EIA) of the Proposed Leuwikeris Dam Construction in Ciamis and Tasikmalaya Regencies, West Java Province Agus Irpan Nurhidayat
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.138

Abstract

This study analyzes the environmental impacts of the Leuwikeris Dam construction in Tasikmalaya and Ciamis Regencies, West Java—a multipurpose national strategic project. Employing an in-depth literature review of official Environmental Impact Assessment (AMDAL) documents (ANDAL, RKL-RPL, KA-ANDAL), government reports (2021–2025), scientific journals, and recent secondary data, the study identified 28 hypothetical significant impacts using a modified Leopold matrix. The results indicate highly positive benefits, including an 11.7% reduction in flooding, irrigation for 11,216 hectares, a raw water supply of 845 L/second, and a combined hydropower potential (PLTA and PLTM) of 27.4 MW. However, significant negative post-operational impacts (post-2025) were identified, such as the accumulation of domestic waste, water hyacinth proliferation (covering >40% of the reservoir surface), annual sedimentation of 4.8 million m³, and unresolved social conflicts regarding land acquisition. The study concludes that the Leuwikeris Dam project remains sustainable provided the Environmental Management and Monitoring Plan (RKL-RPL) is revised via a 2026 addendum to incorporate waste management programs, water hyacinth bioremediation, and community-based tourism development. This research contributes data-driven policy recommendations that can serve as a reference for managing similar dam projects in Indonesia.
Criteria for Data Validity in Qualitative Research Masruroh Masruroh
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.154

Abstract

Data validity in qualitative research pertains to validity and reliability adapted to the demands of scientific inquiry and the qualitative paradigm. Establishing data validity requires verification techniques based on specific criteria: credibility, transferability, dependability, and confirmability. Credibility refers to the alignment of data with reality, achieved through techniques such as prolonged engagement, persistent observation, triangulation, negative case analysis, and member checking. Transferability assesses the applicability of research findings to other contexts by providing comprehensive descriptions. Dependability ensures the reliability of research results through audits of the research process and outcomes. Confirmability emphasizes research transparency and objectivity by enabling others to evaluate and verify the findings. Qualitative research must employ these four criteria to ensure data validity and reliability that are scientifically sound and defensible.
Comparison of Male and Female Per Capita Expenditure in North Sumatra in 2025 Using the Maximum Likelihood Estimation Method Eliza Margareth Pangaribuan; Santa Ceacilia Br Tarigan; Sintya Ester Z Berutu; Claudia Nainggolan
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.156

Abstract

This study aims to analyze and compare per capita expenditure patterns between men and women in North Sumatra Province in 2025. Per capita expenditure is a crucial indicator reflecting the level of welfare, purchasing power, and economic capacity of the population in a region. Given that household consumption in North Sumatra continues to increase annually, identifying gender disparities in expenditure is essential for evaluating the equity of economic development. The method used in this study is Maximum Likelihood Estimation (MLE) to estimate the parameters of the expenditure distribution. MLE was chosen for its ability to provide consistent and efficient estimates, particularly with large sample sizes, under the assumption of specific data distributions such as the log-normal distribution commonly found in expenditure and income data. The research data is sourced from secondary data from the North Sumatra Provincial Central Statistics Agency for the year 2025. The results of the analysis are expected to map the extent of expenditure disparities between men and women across various regencies and cities in North Sumatra. These findings are expected to serve as a foundation for local governments in formulating more inclusive and gender-responsive policies to improve social welfare and reduce economic inequality in the region.
Secondary School Students’ Attitudes Towards National Values and Political Participation in Zamfara State, Nigeria Mansur Ibrahim; Sule Muhammad
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.157

Abstract

This study examined the influence of the Civic Education curriculum on secondary school students’ attitudes toward national values and their political participation in Zamfara State, Nigeria. The study was guided by three objectives, three research questions, and three null hypotheses. A descriptive survey research design was adopted. The population comprised secondary school students, while a sample of 384 respondents was selected using a multistage sampling technique. Data were collected using a structured questionnaire validated by experts and tested for reliability, yielding a Cronbach alpha coefficient of 0.91, which indicates high internal consistency. Data were analyzed using descriptive statistics and regression analysis at 0.05 level of significance. Findings revealed that the Civic Education curriculum has a significant positive influence on students’ attitudes toward national values and their level of political participation. The results further showed that Civic Education teaching methods significantly affect both students’ civic attitudes and their engagement in political activities. The study also established that interactive and student-centered teaching approaches strengthen the effectiveness of the curriculum in shaping civic awareness and democratic participation among students. The study concludes that Civic Education plays a vital role in promoting responsible citizenship and democratic values among secondary school students in Zamfara State, although its effectiveness largely depends on the quality of instructional methods used in delivery.
The Use of Artificial Intelligence (AI) and Challenges to the Authenticity of Thought in the Scientific Method Achmad Solahudin; Nisa Santiana; Harkat Hadi Saputra
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.160

Abstract

This research is motivated by the rapid integration of Artificial Intelligence (AI) within the academic ecosystem, which offers research efficiency but simultaneously triggers risks of cognitive degradation and scientific ethical crises. This study aims to evaluate the role of AI as a cognitive supporting tool and analyze the challenges to the authenticity of thinking across all stages of the scientific method. The study employs a multi-methodology approach integrating five systematic research methods: a Systematic Literature Review (SLR), explanatory quantitative surveys, comparative qualitative content analysis assisted by Natural Language Processing (NLP) semantic algorithms, controlled computational simulation experiments, and an explorative phenomenological case study. The results indicate that AI provenly functions as an effective supporting tool capable of exponentially reducing research bureaucracy and expanding big data analysis capabilities. However, empirical testing also confirms substantial risks, including cognitive offloading, disguised plagiarism, and the threat of pseudo-correlation due to the "black box" nature of advanced algorithms. In conclusion, AI shifts the scientific method from a traditional linear approach into an exponential data-driven cycle. Consequently, higher education institutions are recommended to immediately formulate strict AI governance regulations while maintaining the "human-in-the-loop" principle to preserve intellectual integrity.
Correlational and Comparative Designs as Quantitative Research Approaches Ahmad Rifa’i; Luqman Hakim Wahyudi; Nabila Aulia Rahmah; Syarla Nur Fitra Aura; Bayu Bambang Nur Fauzi
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.161

Abstract

This study aims to examine two widely used approaches in quantitative research, namely Correlational Design and Comparative Design. The discussion focuses on understanding the concepts, characteristics, operational procedures, and practical applications of both research Designs in educational and social science studies. The research employed a library research method with a descriptive qualitative approach by reviewing relevant books, scientific journals, and methodological references. The findings indicate that Correlational Design is used to identify and analyze relationships among variables without any researcher intervention, enabling the exploration of association patterns and the prediction of certain phenomena. Meanwhile, Comparative Design is intended to compare two or more naturally existing groups in order to identify similarities and differences in specific variables. Although both approaches do not involve experimental manipulation, they differ in their primary focus. Correlational Design emphasizes the strength and direction of relationships among variables, whereas Comparative Design concentrates on differences between groups. Therefore, a comprehensive understanding of these two research Designs is essential for researchers in selecting the most appropriate method according to their research objectives and in producing valid, reliable, and scientifically accountable findings.
Experimental Design in Quantitative Research: Concepts, Types, Comparisons, and Applications Amilia Fitri; Fauzah Nurul Hasilah; Salwa Salsabila Maaris; M. Faiz Azmi Ibnu Mansur; Ilham Hidayatul Ramadhani; Bayu Bambang Nur Fauzi
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.162

Abstract

This study aims to describe the concept, types, comparisons, and applications of experimental design in quantitative research. The study employed a qualitative approach using the library research method. Data were collected through documentation techniques from books, scientific journals, and other relevant references related to experimental design. The data were analyzed using content analysis to identify, classify, and interpret the characteristics of various experimental designs. The findings indicate that experimental design is an essential research framework for examining causal relationships between variables. Experimental design consists of three main forms, namely pre-experimental design, quasi-experimental design, and true experimental design, each having different levels of control, validity, and applicability. Among these, true experimental design has the highest internal validity, while quasi-experimental design is the most frequently applied in educational research due to its practicality in real settings. Therefore, selecting an appropriate experimental design is crucial for producing valid and reliable research findings.

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