Muhammad Abdurrachman Rizky, A. Puspaningrum, Erliyan Redi Susanto
{"title":"为病人设计基于 Android 的营养需求满足系统","authors":"Muhammad Abdurrachman Rizky, A. Puspaningrum, Erliyan Redi Susanto","doi":"10.33365/jatika.v4i3.3707","DOIUrl":null,"url":null,"abstract":": Proper nutritional intake is crucial for individuals suffering from malnutrition, yet it is often challenging to accurately determine. Even for nutrition experts, diagnosing nutritional deficiencies in patients can be a daunting task. The objective of this project is to design and develop an Android-based application that can assist ill individuals in meeting their nutritional needs more effectively and efficiently. The devised system aims to provide accurate nutritional recommendations based on the user's health condition. The method employed in this application is the Certainty Factor, which enables the system to combine existing nutritional knowledge and rules to offer precise recommendations. The Certainty Factor method allows the system to calculate the confidence level for each nutritional recommendation, allowing users to receive personalized advice tailored to their health conditions. The testing results of this application can","PeriodicalId":33961,"journal":{"name":"Jurnal Informatika dan Rekayasa Perangkat Lunak","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rancang Bangun Sistem Pemenuhan Kebutuhan Gizi pada Orang Sakit Berbasis Android\",\"authors\":\"Muhammad Abdurrachman Rizky, A. Puspaningrum, Erliyan Redi Susanto\",\"doi\":\"10.33365/jatika.v4i3.3707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Proper nutritional intake is crucial for individuals suffering from malnutrition, yet it is often challenging to accurately determine. Even for nutrition experts, diagnosing nutritional deficiencies in patients can be a daunting task. The objective of this project is to design and develop an Android-based application that can assist ill individuals in meeting their nutritional needs more effectively and efficiently. The devised system aims to provide accurate nutritional recommendations based on the user's health condition. The method employed in this application is the Certainty Factor, which enables the system to combine existing nutritional knowledge and rules to offer precise recommendations. The Certainty Factor method allows the system to calculate the confidence level for each nutritional recommendation, allowing users to receive personalized advice tailored to their health conditions. The testing results of this application can\",\"PeriodicalId\":33961,\"journal\":{\"name\":\"Jurnal Informatika dan Rekayasa Perangkat Lunak\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Informatika dan Rekayasa Perangkat Lunak\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33365/jatika.v4i3.3707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Informatika dan Rekayasa Perangkat Lunak","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33365/jatika.v4i3.3707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rancang Bangun Sistem Pemenuhan Kebutuhan Gizi pada Orang Sakit Berbasis Android
: Proper nutritional intake is crucial for individuals suffering from malnutrition, yet it is often challenging to accurately determine. Even for nutrition experts, diagnosing nutritional deficiencies in patients can be a daunting task. The objective of this project is to design and develop an Android-based application that can assist ill individuals in meeting their nutritional needs more effectively and efficiently. The devised system aims to provide accurate nutritional recommendations based on the user's health condition. The method employed in this application is the Certainty Factor, which enables the system to combine existing nutritional knowledge and rules to offer precise recommendations. The Certainty Factor method allows the system to calculate the confidence level for each nutritional recommendation, allowing users to receive personalized advice tailored to their health conditions. The testing results of this application can