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Do Computational Thinking and Self Regulated Learning Affect Computer Programming Problem Solving Skills? : An Experimental Study Susilowati, Dyah; Rahim, Abdul; Ananta, Gede Pramudya; Saputri, Dian Syafitri Chani; Hasanah, Uswatun; Ria, Reny Refitaningsih Peby
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 3 (2024): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i3.12415

Abstract

This study aims to analyze the effect of computational thinking and self regulated learning on computer programming problem-solving skills. The research used a quasi-experiment with a factorial design. Research sampling using a purposive sampling technique. The sampling of this study used a purposive sampling technique, namely students of Bumigora University, Indonesia. The data collected were in the form of tests with data analysis techniques using inferential statistics. The results showed the fulfillment of the prerequisite tests of normality and homogeneity with each Sig value obtained > 0,05. The paired sample t-test test in the control and experimental groups obtained each Sig value < 0.05, so it can be concluded that there is a significant difference in student learning outcomes in each control group and experimental group. The independent sample t-test test obtained a Sig value < 0.05, so it can be concluded that there is a significant difference between the computational thinking method and the conventional learning method. The independent sample t-test test obtained a Sig value < 0.05, so it can be concluded that there is a significant difference between high and low self-regulated learning. Factorial ANOVA test obtained Sig value <0.05, so it can be concluded that the interaction between learning methods and self-regulated learning makes a significant difference in the ability to solve computer programming problems. The implications of applying computational thinking methods and developing self-regulated learning skills significantly improved problem-solving skills in computer programming, thus supporting the need to integrate this approach into curricula and teaching strategies.
The Impact of Heat Stress on Physiological Health in Industrial Workers: A Mixed-Methods Study Nurhartonosuro, Imam Munajat; Md Tamrin, Shamsul Bahri; Mohd Suadi Nata, Dayana Hazwani; Karuppiah, Karmegam; Guan, Ng Yee; Ananta, Gede Pramudya
The Indonesian Journal of Occupational Safety and Health Vol. 14 No. 3 (2025): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Introduction: The discrepancy between actual heat stress and workers' perception results in a mitigation failure, potentially leading to fatality. This study aimed to investigate workplace heat stress, workers' workload, and personnel's heat strain in steel mills under extreme temperature conditions. Methods: The study used a mixed-methods design and was conducted across three steel mills in East Java, Indonesia. An analysis of heat-stress data included heat-stress symptoms derived from physiological and environmental factors, while the personal perception assessment was based on comprehensive interview sessions. These quantitative results, obtained from 119 operators, were compared with workers' personal thermal perceptions using a mixed-methods approach. Phase 1 quantitative method consisted of onsite data collection, walkthrough inspection, questionnaire distribution, workplace monitoring, personal assessment, and statistical analysis. Phase 2, as a qualitative stage, consisted of in-depth interviews and focused group discussions with 15 participants. Results: The wet-bulb globe temperature measurements confirm significant heat stress in all mills. Workers' physiological responses remained within acceptable limits according to ACGIH criteria. However, a noticeable discrepancy was found between the quantitative data and workers' perceptions, highlighting the need for greater awareness and training on heat-stress hazards. Conclusion: The alignment between qualitative and quantitative findings underscores the importance of integrating both approaches to develop effective mitigation strategies. This study contributes to understanding occupational heat stress in high-risk environments and emphasizes the need to incorporate worker perceptions into health and safety protocols.