Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots
The election vote-counting process can be done automatically by applying machine learning technology, namely computer vision which is usually used for the pattern recognition process in images and videos. In this study, the object of pattern recognition is the C1 ballots for the 2019 simultaneous el...
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2022
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my-inti-eprints.16882024-05-07T09:52:50Z http://eprints.intimal.edu.my/1688/ Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots Agustian, David Tri Basuki, Kurniawan Misinem, . Edi Surya, Negara Yesi Novaria, Kunang QA75 Electronic computers. Computer science QA76 Computer software The election vote-counting process can be done automatically by applying machine learning technology, namely computer vision which is usually used for the pattern recognition process in images and videos. In this study, the object of pattern recognition is the C1 ballots for the 2019 simultaneous elections. The dataset used is the latest C1 format which was made by the author himself. To distinguish each number, C1 ballots will be colored to interpret a number. Then the numbers were captured using an android camera and saved in jpeg format. Furthermore, the author uses the python skimage module and GIMP for image processing and divides the dataset into 80% as training data and 20% as testing data. The model used in this study is the Support Vector Machine algorithm to classify images. The results that can be reached by this model were 100% accurate. INTI International University 2022-11 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1688/1/jods2022_14.pdf Agustian, David and Tri Basuki, Kurniawan and Misinem, . and Edi Surya, Negara and Yesi Novaria, Kunang (2022) Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots. Journal of Data Science, 2022 (14). pp. 1-16. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
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QA75 Electronic computers. Computer science QA76 Computer software Agustian, David Tri Basuki, Kurniawan Misinem, . Edi Surya, Negara Yesi Novaria, Kunang Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots |
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The election vote-counting process can be done automatically by applying machine learning technology, namely computer vision which is usually used for the pattern recognition process in images and videos. In this study, the object of pattern recognition is the C1 ballots for the 2019 simultaneous elections. The dataset used is the latest C1 format which was made by the author himself. To distinguish each number, C1 ballots will be colored to interpret a number. Then the numbers were captured using an android camera and saved in jpeg format. Furthermore, the author uses the python skimage module and GIMP for image processing and divides the dataset into 80% as training data and 20% as testing data. The model used in this study is the Support Vector Machine algorithm to classify images. The results that can be reached by this model were 100% accurate. |
format |
Article |
author |
Agustian, David Tri Basuki, Kurniawan Misinem, . Edi Surya, Negara Yesi Novaria, Kunang |
author_facet |
Agustian, David Tri Basuki, Kurniawan Misinem, . Edi Surya, Negara Yesi Novaria, Kunang |
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Agustian, David |
title |
Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots |
title_short |
Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots |
title_full |
Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots |
title_fullStr |
Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots |
title_full_unstemmed |
Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots |
title_sort |
utilizing support vector machines to recognize pattern numbers on sheet c1 ballots |
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INTI International University |
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2022 |
url |
http://eprints.intimal.edu.my/1688/1/jods2022_14.pdf http://eprints.intimal.edu.my/1688/ http://ipublishing.intimal.edu.my/jods.html |
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