Features Selection in the Proposed Draft Sheet C1 for General Elections in Indonesia
Elections in Indonesia are held every five (5) years. In 2019, the elections were held simultaneously so that general elections could be carried out efficiently because it reduces time wastage. In the implementation of the General Election, using sheet C1 as a sheet to fill in the calculation res...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2023
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1728/ http://eprints.intimal.edu.my/1728/1/2 |
| _version_ | 1848766818024423424 |
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| author | Erin, Efriansyah Tri Basuki, Kurniawan Edi Surya, Negara Muhamad, Akbar |
| author_facet | Erin, Efriansyah Tri Basuki, Kurniawan Edi Surya, Negara Muhamad, Akbar |
| author_sort | Erin, Efriansyah |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Elections in Indonesia are held every five (5) years. In 2019, the elections were held
simultaneously so that general elections could be carried out efficiently because it reduces time
wastage. In the implementation of the General Election, using sheet C1 as a sheet to fill in the
calculation results, the obstacles that often occur in the implementation of the election are often
technical problems such as filling out the C1 sheet, which is still manual, and error input values.
This study aims to create a new approach using the features in the C1 draft proposal for general
elections to reduce mistakes and manual voting considerations. This study uses an artificial neural
network method as a feature of the numerical value prediction process from the proposed new C1
sheet. The neural network method used is the Backpropagation technique, where the machine will
recognize each number so that the calculation process will be faster. With the election feature, the
C1 design for this gets the results that this feature can detect the writing of numbers accurately
with an accuracy rate of 98%. |
| first_indexed | 2025-11-14T11:57:11Z |
| format | Article |
| id | intimal-1728 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:57:11Z |
| publishDate | 2023 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-17282024-09-04T09:03:15Z http://eprints.intimal.edu.my/1728/ Features Selection in the Proposed Draft Sheet C1 for General Elections in Indonesia Erin, Efriansyah Tri Basuki, Kurniawan Edi Surya, Negara Muhamad, Akbar QA75 Electronic computers. Computer science QA76 Computer software Elections in Indonesia are held every five (5) years. In 2019, the elections were held simultaneously so that general elections could be carried out efficiently because it reduces time wastage. In the implementation of the General Election, using sheet C1 as a sheet to fill in the calculation results, the obstacles that often occur in the implementation of the election are often technical problems such as filling out the C1 sheet, which is still manual, and error input values. This study aims to create a new approach using the features in the C1 draft proposal for general elections to reduce mistakes and manual voting considerations. This study uses an artificial neural network method as a feature of the numerical value prediction process from the proposed new C1 sheet. The neural network method used is the Backpropagation technique, where the machine will recognize each number so that the calculation process will be faster. With the election feature, the C1 design for this gets the results that this feature can detect the writing of numbers accurately with an accuracy rate of 98%. INTI International University 2023-03-23 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1728/1/2 Erin, Efriansyah and Tri Basuki, Kurniawan and Edi Surya, Negara and Muhamad, Akbar (2023) Features Selection in the Proposed Draft Sheet C1 for General Elections in Indonesia. Journal of Data Science, 2023 (02). pp. 1-10. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Erin, Efriansyah Tri Basuki, Kurniawan Edi Surya, Negara Muhamad, Akbar Features Selection in the Proposed Draft Sheet C1 for General Elections in Indonesia |
| title | Features Selection in the Proposed Draft Sheet C1 for General Elections in
Indonesia |
| title_full | Features Selection in the Proposed Draft Sheet C1 for General Elections in
Indonesia |
| title_fullStr | Features Selection in the Proposed Draft Sheet C1 for General Elections in
Indonesia |
| title_full_unstemmed | Features Selection in the Proposed Draft Sheet C1 for General Elections in
Indonesia |
| title_short | Features Selection in the Proposed Draft Sheet C1 for General Elections in
Indonesia |
| title_sort | features selection in the proposed draft sheet c1 for general elections in
indonesia |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/1728/ http://eprints.intimal.edu.my/1728/ http://eprints.intimal.edu.my/1728/1/2 |