Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree

In education quality assurance, the accuracy of test data is crucial. However, there is still a problem regarding to the possibility of incorrect data filled by test taker during paper-based test. On the contrary, this problem does not appear in computer-based test. In this study, a method was propo...

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Main Authors: Edy Suharto, Aris Puji Widodo, Suryono Suryono
Format: Article
Language:English
Published: State Islamic University Sunan Kalijaga 2019-06-01
Series:IJID (International Journal on Informatics for Development)
Subjects:
Online Access:http://ejournal.uin-suka.ac.id/saintek/ijid/article/view/1376
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author Edy Suharto
Aris Puji Widodo
Suryono Suryono
author_facet Edy Suharto
Aris Puji Widodo
Suryono Suryono
author_sort Edy Suharto
collection DOAJ
description In education quality assurance, the accuracy of test data is crucial. However, there is still a problem regarding to the possibility of incorrect data filled by test taker during paper-based test. On the contrary, this problem does not appear in computer-based test. In this study, a method was proposed in order to analyze the accuracy of answer sheet filling out in paper-based test using data mining technique. A single layer of data comprehension was added within the method instead of raw data. The results of the study were a web-based program for data pre-processing and decision tree models. There were 374 instances which were analyzed. The accuracy of answer sheet filling out attained 95.19% while the accuracy of classification varied from 99.47% to 100% depend on evaluation method chosen. This study could motivate the administrators for test improvement since it preferred computer-based test to paper-based.
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spelling doaj.art-250aa6e7b6cc41908c2b2bb3a9bc41412022-12-22T02:03:41ZengState Islamic University Sunan KalijagaIJID (International Journal on Informatics for Development)2252-78342549-74482019-06-01811710.14421/ijid.2019.081011192Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision TreeEdy Suharto0Aris Puji Widodo1Suryono Suryono2Diponegoro UniversityDiponegoro UniversityDiponegoro UniversityIn education quality assurance, the accuracy of test data is crucial. However, there is still a problem regarding to the possibility of incorrect data filled by test taker during paper-based test. On the contrary, this problem does not appear in computer-based test. In this study, a method was proposed in order to analyze the accuracy of answer sheet filling out in paper-based test using data mining technique. A single layer of data comprehension was added within the method instead of raw data. The results of the study were a web-based program for data pre-processing and decision tree models. There were 374 instances which were analyzed. The accuracy of answer sheet filling out attained 95.19% while the accuracy of classification varied from 99.47% to 100% depend on evaluation method chosen. This study could motivate the administrators for test improvement since it preferred computer-based test to paper-based.http://ejournal.uin-suka.ac.id/saintek/ijid/article/view/1376data miningdecision treepaper-based testeducation
spellingShingle Edy Suharto
Aris Puji Widodo
Suryono Suryono
Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree
IJID (International Journal on Informatics for Development)
data mining
decision tree
paper-based test
education
title Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree
title_full Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree
title_fullStr Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree
title_full_unstemmed Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree
title_short Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree
title_sort analyzing the accuracy of answer sheet data in paper based test using decision tree
topic data mining
decision tree
paper-based test
education
url http://ejournal.uin-suka.ac.id/saintek/ijid/article/view/1376
work_keys_str_mv AT edysuharto analyzingtheaccuracyofanswersheetdatainpaperbasedtestusingdecisiontree
AT arispujiwidodo analyzingtheaccuracyofanswersheetdatainpaperbasedtestusingdecisiontree
AT suryonosuryono analyzingtheaccuracyofanswersheetdatainpaperbasedtestusingdecisiontree