Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311721810> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4311721810 endingPage "1427" @default.
- W4311721810 startingPage "1419" @default.
- W4311721810 abstract "This study aims to determine the prediction model of the graduation status of prospective teacher students at IAIN Bone in terms of attributes, accuracy levels, and differences in the level of accuracy produced in the attributes of decision tree C4.5, Naïve Bayes, and k-NN data mining algorithms. This research uses a quantitative approach by adopting the Data Mining method. This research was conducted at IAIN Bone. The data collection process in this study used documentation techniques in the form of data on alumni of the Tarbiyah Faculty of IAIN Bone. The data analysis used was a descriptive analysis using decision tree C4.5, Naive Bayes, and k-NN data mining algorithms assisted by the RapidMiner application. The results of this study show that (1) model prediction of the graduation status of prospective teacher students in IAIN Bone in terms of attributes generated in the Decision Tree C4.5 and Naïve Bayes data mining algorithms consist of gender, age, Semester 1 IP, Semester 2 IP, Semester 3 IP, Semester 4 IP, and GPA, while the attributes produced in k-NN data mining algorithm consists of gender, regional origin, number of siblings, age, IP Semester 1, IP Semester 2, IP Semester 3, IP Semester 4, and GPA; (2) model prediction of graduation status of iain bone teacher candidate students in terms of the accuracy rate generated in the Decision Tree C4.5 data mining algorithm of 93.90%, Naïve Bayes by 90.24%, and k-NN of 92.07%; and (3) there was no significant difference between the accuracy rate produced by decision tree's data mining algorithm. C4.5 and Naïve Bayes (p-value = 1.00); Decision Tree C4.5 and k-NN (p-value = 1.00); as well as Naïve Bayes and k-NN (p-value = 1.00) in predicting the graduation status of iain bone teacher candidate students." @default.
- W4311721810 created "2022-12-28" @default.
- W4311721810 creator A5029592124 @default.
- W4311721810 creator A5054857649 @default.
- W4311721810 creator A5058515278 @default.
- W4311721810 creator A5067654029 @default.
- W4311721810 date "2022-12-16" @default.
- W4311721810 modified "2023-09-25" @default.
- W4311721810 title "Prediction model of teacher candidate student graduation status: Decision Tree C4.5, Naive Bayes, and k-NN" @default.
- W4311721810 doi "https://doi.org/10.30863/ekspose.v21i2.3407" @default.
- W4311721810 hasPublicationYear "2022" @default.
- W4311721810 type Work @default.
- W4311721810 citedByCount "0" @default.
- W4311721810 crossrefType "journal-article" @default.
- W4311721810 hasAuthorship W4311721810A5029592124 @default.
- W4311721810 hasAuthorship W4311721810A5054857649 @default.
- W4311721810 hasAuthorship W4311721810A5058515278 @default.
- W4311721810 hasAuthorship W4311721810A5067654029 @default.
- W4311721810 hasBestOaLocation W43117218101 @default.
- W4311721810 hasConcept C107673813 @default.
- W4311721810 hasConcept C113174947 @default.
- W4311721810 hasConcept C11413529 @default.
- W4311721810 hasConcept C119857082 @default.
- W4311721810 hasConcept C12267149 @default.
- W4311721810 hasConcept C124101348 @default.
- W4311721810 hasConcept C134306372 @default.
- W4311721810 hasConcept C154945302 @default.
- W4311721810 hasConcept C199360897 @default.
- W4311721810 hasConcept C207201462 @default.
- W4311721810 hasConcept C2524010 @default.
- W4311721810 hasConcept C2779529714 @default.
- W4311721810 hasConcept C33923547 @default.
- W4311721810 hasConcept C41008148 @default.
- W4311721810 hasConcept C52001869 @default.
- W4311721810 hasConcept C5481197 @default.
- W4311721810 hasConcept C56289965 @default.
- W4311721810 hasConcept C56666940 @default.
- W4311721810 hasConcept C84525736 @default.
- W4311721810 hasConceptScore W4311721810C107673813 @default.
- W4311721810 hasConceptScore W4311721810C113174947 @default.
- W4311721810 hasConceptScore W4311721810C11413529 @default.
- W4311721810 hasConceptScore W4311721810C119857082 @default.
- W4311721810 hasConceptScore W4311721810C12267149 @default.
- W4311721810 hasConceptScore W4311721810C124101348 @default.
- W4311721810 hasConceptScore W4311721810C134306372 @default.
- W4311721810 hasConceptScore W4311721810C154945302 @default.
- W4311721810 hasConceptScore W4311721810C199360897 @default.
- W4311721810 hasConceptScore W4311721810C207201462 @default.
- W4311721810 hasConceptScore W4311721810C2524010 @default.
- W4311721810 hasConceptScore W4311721810C2779529714 @default.
- W4311721810 hasConceptScore W4311721810C33923547 @default.
- W4311721810 hasConceptScore W4311721810C41008148 @default.
- W4311721810 hasConceptScore W4311721810C52001869 @default.
- W4311721810 hasConceptScore W4311721810C5481197 @default.
- W4311721810 hasConceptScore W4311721810C56289965 @default.
- W4311721810 hasConceptScore W4311721810C56666940 @default.
- W4311721810 hasConceptScore W4311721810C84525736 @default.
- W4311721810 hasIssue "2" @default.
- W4311721810 hasLocation W43117218101 @default.
- W4311721810 hasOpenAccess W4311721810 @default.
- W4311721810 hasPrimaryLocation W43117218101 @default.
- W4311721810 hasRelatedWork W1470425429 @default.
- W4311721810 hasRelatedWork W2384662754 @default.
- W4311721810 hasRelatedWork W3135653258 @default.
- W4311721810 hasRelatedWork W3216672256 @default.
- W4311721810 hasRelatedWork W4224943655 @default.
- W4311721810 hasRelatedWork W4285225238 @default.
- W4311721810 hasRelatedWork W4292865745 @default.
- W4311721810 hasRelatedWork W4311721810 @default.
- W4311721810 hasRelatedWork W4383651165 @default.
- W4311721810 hasRelatedWork W4386213759 @default.
- W4311721810 hasVolume "21" @default.
- W4311721810 isParatext "false" @default.
- W4311721810 isRetracted "false" @default.
- W4311721810 workType "article" @default.