D. Gustian, B. Lestari, Nada Sri Rejeki, Nabila M Zasmine
{"title":"确定幼儿营养状况的模糊推理系统","authors":"D. Gustian, B. Lestari, Nada Sri Rejeki, Nabila M Zasmine","doi":"10.1109/ICCED51276.2020.9415781","DOIUrl":null,"url":null,"abstract":"The nutrition monitoring of toddlers is one of the government programs that are formulated in the Constitution 45. Therefore through the Ministry of Health of the Republic of Indonesia monitoring every periodic always start Posyandu, Puskesmas until the hospital always facilitate the condition. Posyandu Mawar 3, which is one of the Posyandu in Sukabumi district, is a problem where enough high toddlers belong to the skinny and very skinny category. This condition is certainly the concern of the government especially West Java. The method used in this study was the Fuzzy Inference System Mamdani because it was assessed to have advantages over existing methods capable of controlling the balance between inputs with output through easy-to-understand mathematical calculations, Intuitive, flexible, and in accordance with the human input process. This research contributes to the government's ability, especially Posyandu management in the process of implementing activities more efficiently, facilitating Posyandu cadres in the processing of toddler development data, the data produced will be more accurate, as well as Loss of data because it has been computerized. The results of this study can determine the nutritional condition of the toddler in a balanced between the input data of the age, weight and height and the output of the nutritional status of toddlers with a center point of the Crips around-0.81. The Web-based application generates test results with the Software Quality Assurance method with a value of 80.78. This means the application included in the category meets the good standards.","PeriodicalId":344981,"journal":{"name":"2020 6th International Conference on Computing Engineering and Design (ICCED)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy Inference System in Determining Nutritional Status of Toddlers\",\"authors\":\"D. Gustian, B. Lestari, Nada Sri Rejeki, Nabila M Zasmine\",\"doi\":\"10.1109/ICCED51276.2020.9415781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The nutrition monitoring of toddlers is one of the government programs that are formulated in the Constitution 45. Therefore through the Ministry of Health of the Republic of Indonesia monitoring every periodic always start Posyandu, Puskesmas until the hospital always facilitate the condition. Posyandu Mawar 3, which is one of the Posyandu in Sukabumi district, is a problem where enough high toddlers belong to the skinny and very skinny category. This condition is certainly the concern of the government especially West Java. The method used in this study was the Fuzzy Inference System Mamdani because it was assessed to have advantages over existing methods capable of controlling the balance between inputs with output through easy-to-understand mathematical calculations, Intuitive, flexible, and in accordance with the human input process. This research contributes to the government's ability, especially Posyandu management in the process of implementing activities more efficiently, facilitating Posyandu cadres in the processing of toddler development data, the data produced will be more accurate, as well as Loss of data because it has been computerized. The results of this study can determine the nutritional condition of the toddler in a balanced between the input data of the age, weight and height and the output of the nutritional status of toddlers with a center point of the Crips around-0.81. The Web-based application generates test results with the Software Quality Assurance method with a value of 80.78. This means the application included in the category meets the good standards.\",\"PeriodicalId\":344981,\"journal\":{\"name\":\"2020 6th International Conference on Computing Engineering and Design (ICCED)\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th International Conference on Computing Engineering and Design (ICCED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCED51276.2020.9415781\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Computing Engineering and Design (ICCED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCED51276.2020.9415781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Inference System in Determining Nutritional Status of Toddlers
The nutrition monitoring of toddlers is one of the government programs that are formulated in the Constitution 45. Therefore through the Ministry of Health of the Republic of Indonesia monitoring every periodic always start Posyandu, Puskesmas until the hospital always facilitate the condition. Posyandu Mawar 3, which is one of the Posyandu in Sukabumi district, is a problem where enough high toddlers belong to the skinny and very skinny category. This condition is certainly the concern of the government especially West Java. The method used in this study was the Fuzzy Inference System Mamdani because it was assessed to have advantages over existing methods capable of controlling the balance between inputs with output through easy-to-understand mathematical calculations, Intuitive, flexible, and in accordance with the human input process. This research contributes to the government's ability, especially Posyandu management in the process of implementing activities more efficiently, facilitating Posyandu cadres in the processing of toddler development data, the data produced will be more accurate, as well as Loss of data because it has been computerized. The results of this study can determine the nutritional condition of the toddler in a balanced between the input data of the age, weight and height and the output of the nutritional status of toddlers with a center point of the Crips around-0.81. The Web-based application generates test results with the Software Quality Assurance method with a value of 80.78. This means the application included in the category meets the good standards.