Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes
Students' satisfaction with the quality of lecturers' way of teaching is oneof theimportant things in higher education institutions. Universitas Ichsan Gorontalo hasimplemented an online questionnaire as student feedback to determine and evaluatethe performance of lecturers. The Faculty of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
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Universitas PGRI Semarang
2023-12-01
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| Series: | Jurnal informatika UPGRIS |
| Online Access: | https://journal.upgris.ac.id/index.php/JIU/article/view/17001 |
| _version_ | 1797397355006263296 |
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| author | Sitti Rachmah Puspita Sari Jan Yasin Aril Mustofa Irma Surya Kumala Idris |
| author_facet | Sitti Rachmah Puspita Sari Jan Yasin Aril Mustofa Irma Surya Kumala Idris |
| author_sort | Sitti Rachmah Puspita Sari Jan |
| collection | DOAJ |
| description | Students' satisfaction with the quality of lecturers' way of teaching is oneof theimportant things in higher education institutions. Universitas Ichsan Gorontalo hasimplemented an online questionnaire as student feedback to determine and evaluatethe performance of lecturers. The Faculty of Computer Science is one of the facultiesthathasimplementedthequestionnairefillingsystem.Thequestionnaireismandatoryfor all students as a requirement to join a course contract at the beginning of thesemester. The evaluation of the performance of lecturers during lectures has a veryimportantrole.Itimprovesthequalityoflearningandacademicstandardization.Thisstudy aims to determine the level of student satisfaction with the services of lecturerswhen teaching. This study applies sentiment analysis using the Naïve Bayes Classifierclassificationmethod.ItalsoemploystheweightingmethodusingtheTermFrequency-Inverse Document Frequency (TF-IDF). The results of this study have determined theclassification of the lecturer service questionnaire data. The results are easy to read.Theresultsofthesurveyonthelevelofstudentsatisfactionwithlecturerservicesfrom1,989dataindicatethat1,946datahavepositivesentimentsand43datahavenegativesentiments.TheresultsgainedfromtheNaïve Bayesaccuracy is 97%accuracy. |
| first_indexed | 2024-03-09T01:08:41Z |
| format | Article |
| id | doaj.art-7ba00db65a2847c8a9a552c9ec02455c |
| institution | Directory Open Access Journal |
| issn | 2460-4801 2477-6645 |
| language | Indonesian |
| last_indexed | 2024-03-09T01:08:41Z |
| publishDate | 2023-12-01 |
| publisher | Universitas PGRI Semarang |
| record_format | Article |
| series | Jurnal informatika UPGRIS |
| spelling | doaj.art-7ba00db65a2847c8a9a552c9ec02455c2023-12-11T07:40:27ZindUniversitas PGRI SemarangJurnal informatika UPGRIS2460-48012477-66452023-12-019210.26877/jiu.v9i2.170016653Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve BayesSitti Rachmah Puspita Sari JanYasin Aril MustofaIrma Surya Kumala IdrisStudents' satisfaction with the quality of lecturers' way of teaching is oneof theimportant things in higher education institutions. Universitas Ichsan Gorontalo hasimplemented an online questionnaire as student feedback to determine and evaluatethe performance of lecturers. The Faculty of Computer Science is one of the facultiesthathasimplementedthequestionnairefillingsystem.Thequestionnaireismandatoryfor all students as a requirement to join a course contract at the beginning of thesemester. The evaluation of the performance of lecturers during lectures has a veryimportantrole.Itimprovesthequalityoflearningandacademicstandardization.Thisstudy aims to determine the level of student satisfaction with the services of lecturerswhen teaching. This study applies sentiment analysis using the Naïve Bayes Classifierclassificationmethod.ItalsoemploystheweightingmethodusingtheTermFrequency-Inverse Document Frequency (TF-IDF). The results of this study have determined theclassification of the lecturer service questionnaire data. The results are easy to read.Theresultsofthesurveyonthelevelofstudentsatisfactionwithlecturerservicesfrom1,989dataindicatethat1,946datahavepositivesentimentsand43datahavenegativesentiments.TheresultsgainedfromtheNaïve Bayesaccuracy is 97%accuracy.https://journal.upgris.ac.id/index.php/JIU/article/view/17001 |
| spellingShingle | Sitti Rachmah Puspita Sari Jan Yasin Aril Mustofa Irma Surya Kumala Idris Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes Jurnal informatika UPGRIS |
| title | Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes |
| title_full | Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes |
| title_fullStr | Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes |
| title_full_unstemmed | Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes |
| title_short | Analisis Sentimen Terhadap Data Kuisioner Evaluasi Dosen Menggunakan Algoritma Naïve Bayes |
| title_sort | analisis sentimen terhadap data kuisioner evaluasi dosen menggunakan algoritma naive bayes |
| url | https://journal.upgris.ac.id/index.php/JIU/article/view/17001 |
| work_keys_str_mv | AT sittirachmahpuspitasarijan analisissentimenterhadapdatakuisionerevaluasidosenmenggunakanalgoritmanaivebayes AT yasinarilmustofa analisissentimenterhadapdatakuisionerevaluasidosenmenggunakanalgoritmanaivebayes AT irmasuryakumalaidris analisissentimenterhadapdatakuisionerevaluasidosenmenggunakanalgoritmanaivebayes |