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All Journal International Conference on Sciences Development and Technology
Nasution, Darmeli
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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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. 
Socialization and education on designing an automatic chili plant watering system in Kota Pari Village Nasution, Darmeli; Sulistianingsih, Indri; Akbar, Ahmad; Fernando, Ahmad
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 service activity aims to provide outreach and education to the people of Kota Pari Village about the design of an automatic chili plant watering system. This system was designed with the aim of increasing agricultural efficiency and productivity, especially in chili cultivation. Through this activity, it is hoped that the public can understand and apply the concepts and working principles of automatic watering systems in agriculture. The activity began with outreach to the public about the benefits and working principles of automatic watering systems as well as the potential for increasing agricultural yields that can be achieved through the use of this technology. Next, practical education was carried out regarding the installation and use of an automatic watering system for chili plants. Participants will be given a step-by-step guide in installing and operating an automatic watering system. Apart from that, this activity also involves direct assistance and monitoring of the implementation of the automatic watering system in the community's chili plants. The service team will assist in overcoming obstacles that may arise and provide direction and suggestions in using the system. Through this outreach and education activity, it is hoped that the people of Kota Pari Village can utilize and adopt automatic watering system technology to increase their agricultural yields. With this system, it is hoped that the efficiency of water use and labor can increase, so that the productivity and quality of chili plants can be improved. 
Co-Authors Ahmad Akbar Fernando, Ahmad Sulistianingsih, Indri Wirda Fitriani