Journal of Information System Exploration and Research最新文献

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Early Detection of Diabetes Using Random Forest Algorithm 使用随机森林算法早期检测糖尿病

Journal of Information System Exploration and Research Pub Date : 2024-01-29 DOI: 10.52465/joiser.v2i1.245

Cindy Nabila Noviyanti, Alamsyah Alamsyah

{"title":"Early Detection of Diabetes Using Random Forest Algorithm","authors":"Cindy Nabila Noviyanti, Alamsyah Alamsyah","doi":"10.52465/joiser.v2i1.245","DOIUrl":"https://doi.org/10.52465/joiser.v2i1.245","url":null,"abstract":"Diabetes is one of the most chronic and deadly diseases. According to data from WHO in 2021, there were approximately 422 million adults living with diabetes worldwide, and this number is expected to continue to increase in the future due to various factors. Many studies have been conducted for early detection of diabetes by focusing on improving accuracy. However, a big problem in diabetes prediction is the selection of the right classification algorithm. This study aims to improve the accuracy of early detection of diabetes by implementing the Random Forest algorithm model. This research was conducted with the stages of data collection, data preprocessing, split data, modeling, and evaluation. This research uses the Pima Indian Diabetes data set. The results showed that the diabetes early detection model using the Random Forest algorithm produced an accuracy of 87%. This research shows that by using the Random Forest algorithm model, the performance of early detection of diabetes can be improved. However, there is still room for optimization of this performance, which is recommended for further research to carry out feature selection, data balancing, more complex model building, and exploring larger data.","PeriodicalId":499822,"journal":{"name":"Journal of Information System Exploration and Research","volume":"14 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140488801","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}

引用次数: 2

Classification of Hate Comments on Twitter Using a Combination of Logistic Regression and Support Vector Machine Algorithm 使用逻辑回归和支持向量机算法对 Twitter 上的仇恨评论进行分类

Journal of Information System Exploration and Research Pub Date : 2024-01-29 DOI: 10.52465/joiser.v2i1.229

Nabila Putri Damayanti, Della Egyta Prameswari, Wiyanda Puspita, Putri Susi Sundari

引用次数: 2

Service Level Agreement Enforcement Model with Human Factor for Electronic Health Record 带有人为因素的电子健康记录服务水平协议执行模型

Journal of Information System Exploration and Research Pub Date : 2024-01-27 DOI: 10.52465/joiser.v2i1.204

Amir Mohamed Talib Mohamed, R. Atan, Abdulaziz Alshammari, Abdulaziz Alsahli, Mohammad Nasrollah Rozami

{"title":"Service Level Agreement Enforcement Model with Human Factor for Electronic Health Record","authors":"Amir Mohamed Talib Mohamed, R. Atan, Abdulaziz Alshammari, Abdulaziz Alsahli, Mohammad Nasrollah Rozami","doi":"10.52465/joiser.v2i1.204","DOIUrl":"https://doi.org/10.52465/joiser.v2i1.204","url":null,"abstract":"Service Level Agreement (SLA) is a document contract between the service provider and service recipient which is the expected services to be delivered and received. SLA includes all the information about the services provided and their performance. The SLA identified the level of services performance such as penalties, priorities, compensation and resolution time. If the quality of service does not meet the SLA usage then the service provider need to pay penalties also known as SLA violation. SLA violation occurred might be from software or hardware but another factor such as human factor also involved. The performance of the system and the quality of services requires a human interference to enforce the SLA. In this research work, the human factor such as user willingness, skill/knowledge, information sharing, Staff adequacy was being investigated. The method survey was implemented to find the relationship between human factor and SLA usage. Respondents in IT department are selected to fill in survey form. 11 respondents are used for pilot study to find the reliability of instrument and 24 respondents are used for actual data. The result show there is positive significant value in relationship between human factor and SLA usage.","PeriodicalId":499822,"journal":{"name":"Journal of Information System Exploration and Research","volume":"75 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140491792","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}

引用次数: 1