RESCOLLACOMMRESCOLLACOMM
International Journal of Research in Community ServicesInternational Journal of Research in Community ServicesThis community service program aims to strengthen students numeracy, digital literacy, and health literacy through the application of mathematical concepts in health data analysis using Microsoft Excel. The activity was conducted at SMA Pasundan Majalaya and involved senior high school students as participants. The program was designed in the form of socialization and hands-on training sessions, including basic arithmetic operations, simple data analysis, logical functions, data visualization techniques, and simple regression analysis applied to health-related data. The implementation employed a participatory learning approach to support students understanding and engagement in the learning process. The results indicate an improvement in students ability to process, analyze, and interpret health data using Microsoft Excel. This program demonstrates that contextual and application-based mathematics learning can effectively enhance students analytical skills and awareness of the role of mathematics in real-world health contexts.
The community service program on the application of mathematical concepts in health data analysis using Microsoft Excel was successfully implemented at SMA Pasundan Majalaya.The training activities enabled students to understand and apply basic mathematical operations, logical functions, data visualization techniques, and simple regression analysis in the context of health data.The results of the training activities indicate an improvement in students analytical skills and their ability to interpret data meaningfully.
Further research should focus on expanding the integration of data analysis tools like Microsoft Excel into the regular mathematics curriculum at the high school level, exploring the long-term impact on students health literacy and decision-making skills. Additionally, studies could investigate the effectiveness of different pedagogical approaches, such as project-based learning or peer instruction, in enhancing students engagement and understanding of data analysis concepts. Finally, it would be beneficial to examine the feasibility of adapting this program for other educational settings and student populations, considering factors such as access to technology and variations in students prior knowledge and skills, to ensure broader accessibility and impact of data-driven learning in health education.
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