{"title":"Salafiyah Syafi'iyah 伊斯兰寄宿学校 Situbondo SIMANTAP 应用程序用户的情感分析","authors":"Ach. Zubairi, Luckman Ashary","doi":"10.35316/jummy.v1i1.3557","DOIUrl":null,"url":null,"abstract":"Pondok Pesantren Salafiyah Syafi'iyah Sukorejo Situbondo provides a payment application called SIMANTAP. This application aims to make it easier for guardians of students to make payments for bills given by Islamic boarding schools. Along the way, some obstacles arise; users tend to give their views in a comment. These comments will later provide an overview of the user's response to the SIMANTAP application. This study will analyze comment data using the Naïve Bayes Classifier. The data was taken from September 2021 to October 2021. As a result, users tend to give a positive response of 89%. Based on the test data results using the Naïve Bayes classifier algorithm, the classification can predict quite well; this is shown by the precision results of 82%, 97% recall, and 89% fi-score.","PeriodicalId":500777,"journal":{"name":"Jurnal Multidisiplin Ibrahimy","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analisis Sentimen Pengguna Aplikasi SIMANTAP Pondok Pesantren Salafiyah Syafi’iyah Situbondo\",\"authors\":\"Ach. Zubairi, Luckman Ashary\",\"doi\":\"10.35316/jummy.v1i1.3557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pondok Pesantren Salafiyah Syafi'iyah Sukorejo Situbondo provides a payment application called SIMANTAP. This application aims to make it easier for guardians of students to make payments for bills given by Islamic boarding schools. Along the way, some obstacles arise; users tend to give their views in a comment. These comments will later provide an overview of the user's response to the SIMANTAP application. This study will analyze comment data using the Naïve Bayes Classifier. The data was taken from September 2021 to October 2021. As a result, users tend to give a positive response of 89%. Based on the test data results using the Naïve Bayes classifier algorithm, the classification can predict quite well; this is shown by the precision results of 82%, 97% recall, and 89% fi-score.\",\"PeriodicalId\":500777,\"journal\":{\"name\":\"Jurnal Multidisiplin Ibrahimy\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Multidisiplin Ibrahimy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35316/jummy.v1i1.3557\",\"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 Multidisiplin Ibrahimy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35316/jummy.v1i1.3557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Pondok Pesantren Salafiyah Syafi'iyah Sukorejo sitbondo提供了一款名为SIMANTAP的支付应用程序。这个应用程序的目的是让学生的监护人更容易支付伊斯兰寄宿学校的账单。在此过程中,出现了一些障碍;用户倾向于在评论中发表自己的观点。这些注释稍后将概述用户对SIMANTAP应用程序的响应。本研究将使用Naïve贝叶斯分类器分析评论数据。数据采集时间为2021年9月至2021年10月。因此,用户倾向于给出89%的积极回应。基于Naïve贝叶斯分类器算法的测试数据结果,分类预测效果较好;82%的准确率、97%的召回率和89%的fi-score表明了这一点。
Analisis Sentimen Pengguna Aplikasi SIMANTAP Pondok Pesantren Salafiyah Syafi’iyah Situbondo
Pondok Pesantren Salafiyah Syafi'iyah Sukorejo Situbondo provides a payment application called SIMANTAP. This application aims to make it easier for guardians of students to make payments for bills given by Islamic boarding schools. Along the way, some obstacles arise; users tend to give their views in a comment. These comments will later provide an overview of the user's response to the SIMANTAP application. This study will analyze comment data using the Naïve Bayes Classifier. The data was taken from September 2021 to October 2021. As a result, users tend to give a positive response of 89%. Based on the test data results using the Naïve Bayes classifier algorithm, the classification can predict quite well; this is shown by the precision results of 82%, 97% recall, and 89% fi-score.