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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Ensiklopedia Education Review INFOKUM Jurnal Darma Agung Journal Zetroem RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Nasional Teknologi Komputer International Conference on Sciences Development and Technology Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Wirda Fitriani
Universitas Pembangunan Panca Budi Medan
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Journal : International Conference on Sciences Development and Technology

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Application of Apriori Algorithm in Data Mining to Analyze Malnutrition (Case Study: Secanggang Village) Sulistianingsih, Indri; Fitriani, Wirda; Nasution, Darmeli
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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Abstract

Malnutrition is a serious public health issue affecting quality of life in many rural areas. Comprehensive, evidence-based approaches are needed to identify dietary patterns associated with this condition. In this study, we applied the Apriori algorithm for data mining to analyze the relationship between dietary patterns and malnutrition prevalence in Secanggang Village. Using Apriori, we discovered significant associative patterns between foods and malnutrition. Our analysis showed several dietary patterns with sufficiently high support and confidence, indicating potentially strong associations with malnutrition. These patterns may include combinations of less diverse or nutritious foods, which could be risk factors for malnutrition. Our findings provide valuable insights for authorities and health institutions to formulate more effective intervention programs in tackling malnutrition in Secanggang Village. By understanding the relationship between dietary patterns and malnutrition, prevention and treatment efforts can be better targeted to positively impact community health and welfare. Further research and cross-sectoral collaboration are still needed to comprehensively address the complex challenges of malnutrition. 
Decision Support System Using AHP to Determine Appropriate Television Shows for Children Fitriani, Wirda; Purwanto, Dedi; Chairani, Ananda
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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Abstract

This study offers a Decision Support System (DSS) that uses the Analytical Hierarchy Process (AHP) to help youngsters choose appropriate television programs. The system is intended to provide parents with a simple and easy-to-implement option for controlling their children's television viewing habits. Its goal is to keep youngsters from imitating unwanted behaviors and to protect them from the detrimental effects of television material. The proposed DSS delivers critical information to allow interactive decision-making, ensuring that users have easy access to the information they require and can make well-informed decisions. The AHP methodology, a decision-making strategy that incorporates pairwise evaluations of selection criteria and available program options, is used in the system's implementation. AHP is particularly successful in solving multi-criteria problems, allowing for the prioritization and ranking of choices based on the research criteria. This study highlights the importance of the DSS in assisting parents in making educated decisions about their children's television programming, resulting in a safer and more educational viewing environment.
Co-Authors Ajie Maulizar Aldi Kesuma Amin, Muhammad Bobby Syahputra Chairani, Ananda Dahlan Kurniawan Darmeli Nasution Devi Andriani Luta DT.M.Akbar Rizk Fachrid Wadly Hermansyah Mai sarah Milanie, Feby Muhammad fauzi pulungan Muhammad Syahdi Nasution Muslim Muslim Naufal Yudhi Handika Nova Mayasari Paris Pratama Purwanto, Dedi Rahmad Budi Utomo Reni Aryanti Sitorus, Zulham Suherman Sulistianingsih, Indri Zulfahmi Syahputra