{"title":"蒙特卡罗模型在预测学生听课情况中的应用","authors":"Wanda Ilham, W. Army, Ilwan Syafrinal","doi":"10.36564/njca.v8i2.322","DOIUrl":null,"url":null,"abstract":"The level of student attendance in lectures is an important factor that can influence academic achievement and learning achievement. This research aims to predict the level of student attendance at lectures. The Monte Carlo simulation method is used in this research because it can produce many random samples that can represent various student attendance scenarios, this research can provide more accurate estimates of attendance levels. The use of repeated samples will also affect the results of the predictions made. Data on student attendance in modeling and simulation courses. Next, this data is used to build a Monte Carlo simulation model that suits the situation of student attendance. The results of the Monte Carlo simulation show the probability distribution of student attendance levels in various scenarios. With this information, universities can take appropriate action to increase student attendance levels.","PeriodicalId":102207,"journal":{"name":"NJCA (Nusantara Journal of Computers and Its Applications)","volume":"8 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PEMODELAN MONTE CARLO DALAM MERAMALKAN PARTISIPASI MAHASISWA DALAM PERKULIAHAN\",\"authors\":\"Wanda Ilham, W. Army, Ilwan Syafrinal\",\"doi\":\"10.36564/njca.v8i2.322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The level of student attendance in lectures is an important factor that can influence academic achievement and learning achievement. This research aims to predict the level of student attendance at lectures. The Monte Carlo simulation method is used in this research because it can produce many random samples that can represent various student attendance scenarios, this research can provide more accurate estimates of attendance levels. The use of repeated samples will also affect the results of the predictions made. Data on student attendance in modeling and simulation courses. Next, this data is used to build a Monte Carlo simulation model that suits the situation of student attendance. The results of the Monte Carlo simulation show the probability distribution of student attendance levels in various scenarios. With this information, universities can take appropriate action to increase student attendance levels.\",\"PeriodicalId\":102207,\"journal\":{\"name\":\"NJCA (Nusantara Journal of Computers and Its Applications)\",\"volume\":\"8 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NJCA (Nusantara Journal of Computers and Its Applications)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36564/njca.v8i2.322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NJCA (Nusantara Journal of Computers and Its Applications)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36564/njca.v8i2.322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PEMODELAN MONTE CARLO DALAM MERAMALKAN PARTISIPASI MAHASISWA DALAM PERKULIAHAN
The level of student attendance in lectures is an important factor that can influence academic achievement and learning achievement. This research aims to predict the level of student attendance at lectures. The Monte Carlo simulation method is used in this research because it can produce many random samples that can represent various student attendance scenarios, this research can provide more accurate estimates of attendance levels. The use of repeated samples will also affect the results of the predictions made. Data on student attendance in modeling and simulation courses. Next, this data is used to build a Monte Carlo simulation model that suits the situation of student attendance. The results of the Monte Carlo simulation show the probability distribution of student attendance levels in various scenarios. With this information, universities can take appropriate action to increase student attendance levels.