Jurnal InoteraPub Date : 2023-11-20DOI: 10.31572/inotera.vol8.iss2.2023.id271
Asmaidi As Med, Taqriri Kamal Mulyadi, Desi Febriani Putri, Rinancy Tumilaar
{"title":"SEIRS Type Mathematical Model Simulation (COVID19 Case)","authors":"Asmaidi As Med, Taqriri Kamal Mulyadi, Desi Febriani Putri, Rinancy Tumilaar","doi":"10.31572/inotera.vol8.iss2.2023.id271","DOIUrl":"https://doi.org/10.31572/inotera.vol8.iss2.2023.id271","url":null,"abstract":"Indonesia is one of the countries hit by COVID19 cases. Data shows that from January 2023 to May 2023, COVID19 cases are still sweeping Indonesia. Data on COVID19 cases in Indonesia on May 30, 2023 showed that 541 patients were confirmed positive with 8 deaths. The data shows that this COVID19 case still needs to be taken seriously and a solution is found. In this study, the authors developed a mathematical model of the spread of COVID19 cases. The mathematical modeling developed is a mathematical model of type SEIRS. In the SEIRS type mathematical model there are four populations including vulnerable population (S), latent population (E), infection population (I), and cured population (R). In the model, it is assumed that the cured population does not recover permanently, but can again suffer from COVID19 caused by other types of viruses. The purpose of developing a mathematical model of the SEIRS type is to determine the behavior of the population in the compartment diagram. Population behavior can be determined by simulating each population in the model. The simulation is performed when the value of the base reproduction number is less than zero and more than zero. Based on the simulations conducted showed that at the time of , the number of latent populations and infections decreased towards zero, while at the time of , latent population and infection still remained in the model so that the disease did not disappear.","PeriodicalId":506286,"journal":{"name":"Jurnal Inotera","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139256318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jurnal InoteraPub Date : 2023-11-20DOI: 10.31572/inotera.vol8.iss2.2023.id272
Darma Setiawan Putra, Andika Rafli, Ihsan M. Arinal, Rusnanda Resky
{"title":"Expert System for Diagnosing Diseases in Children Aged One to Six Years Using the Forward Chaining Method","authors":"Darma Setiawan Putra, Andika Rafli, Ihsan M. Arinal, Rusnanda Resky","doi":"10.31572/inotera.vol8.iss2.2023.id272","DOIUrl":"https://doi.org/10.31572/inotera.vol8.iss2.2023.id272","url":null,"abstract":"Expert systems are stems that try to integrate human knowledge into computer systems so that computers can solve problems as usually done by professional. This expert system aims to provide early information or symptoms to parents about children's diseases so that parents can find out the diseases experienced by children. This system works by entering all symptom data into the system to be traced so as to get a diagnosis of the detected results. This system was developed with PHP and MySQL programming languages as database servers. The creation of an expert system uses the Waterfall development methodology and the reasoning method used is the forward chaining method. The author hopes that this expert system can ease parents to find early solutions to treat diseases in children.","PeriodicalId":506286,"journal":{"name":"Jurnal Inotera","volume":"179 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139256631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}