Article Sidebar
Downloads
Main Article Content
Abstract
Article Details
Copyright (c) 2021 Jurnal Komputer TerapanÂ
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright info for authors
1. Authors hold the copyright in any process, procedure, or article described in the work and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors retain publishing rights to re-use all or portion of the work in different work but can not granting third-party requests for reprinting and republishing the work.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 
References
- K. A. R. I. Direktorat Jenderal Pendidikan Islam, Keputusan Menteri Agama Republik Indonesia Nomor 361 Tahun 2020 tentang Pedoman Program Kartu Indonesia Pintar Kuliah pada Perguruan Tinggi Keagamaan. Indonesia, [Online]. Available: https://kemenag.go.id/archive/keputusan-menteri-agama-nomor-361- tahun-2020-tentang-pedoman-program-kartu-indonesia-pintar-kuliahpada-perguruan-tinggi-keagamaan, 2020.
- H. Parvin, H. Alizadeh, and B. Minaei-bidgoli, “MKNN : Modified KNearest Neighbor,†Proc. World Congr. Eng. Comput. Sci. WCECS, E-ISSN : 2798 – 4664 89 pp. 22–25, 2008.
- M. Govindarajan and R. Chandrasekaran, “Evaluation of k-Nearest Neighbor classifier performance for direct marketing,†Expert Syst. Appl., vol. 37, no. 1, pp. 253–258, 2010, doi: 10.1016/j.eswa.2009.04.055.
- K. T. Tun and A. M. Aye, “Selection of Appropriate Candidates for Scholarship Application Form using KNN Algorithm,†Int. J. Sci. Eng. Technol. Res., vol. 03, no. 06, pp. 1019–1026, 2014.
- B. Surarso and R. Gernowo, “Implementation of the K-Nearest Neighbor Method to determine the Classification of the Study Program Operational Budget in Higher Education,†Proceeding of ICOHETECH, pp. 201–204, 2019, [Online]. Available: http://ojs.udb.ac.id/index.php/icohetech/article/view/803.
- D. Kurniadi, E. Abdurachman, H. L. H. S. Warnars, and W. Suparta, “The prediction of scholarship recipients in higher education using kNearest neighbor algorithm,†IOP Conf. Ser. Mater. Sci. Eng., vol. 434, no. 1, 2018, doi: 10.1088/1757-899X/434/1/012039.
- H. Zhou, Y. Zhang, and Y. Liu, “A Global-Relationship Dissimilarity Measure for the k -Modes Clustering Algorithm,†Comput. Intell. Neurosci., vol. 2017, 2017, doi: 10.1155/2017/3691316.
- A. Chaturvedi, K. Foods, P. E. Green, and J. D. Carroll, “K-modes clustering,†Journal of Classification, vol. 18, no. 1. pp. 35–55, 2001, doi: 10.1007/s00357-001-0004-3.
- Y. K. JAIN and S. K. BHANDARE, “Min Max Normalization Based Data Perturbation Method for Privacy Protection,†Int. J. Comput. Commun. Technol., vol. 4, no. 4, pp. 233–238, 2013, doi: 10.47893/ijcct.2013.1201.
- K. Schliep, K. Hechenbichler, and A. Lizee, “Weighted k-Nearest Neighbors,†2016, vol. 399, p. 15, 2016, [Online]. Available: https://cran.r-project.org/web/packages/kknn/kknn.pdf. [11] Z. Huang, “Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values,†Data Min. Knowl. Discov., vol. 2, pp. 283–304, 1998, doi: 10.1023/A:1009769707641.
References
K. A. R. I. Direktorat Jenderal Pendidikan Islam, Keputusan Menteri Agama Republik Indonesia Nomor 361 Tahun 2020 tentang Pedoman Program Kartu Indonesia Pintar Kuliah pada Perguruan Tinggi Keagamaan. Indonesia, [Online]. Available: https://kemenag.go.id/archive/keputusan-menteri-agama-nomor-361- tahun-2020-tentang-pedoman-program-kartu-indonesia-pintar-kuliahpada-perguruan-tinggi-keagamaan, 2020.
H. Parvin, H. Alizadeh, and B. Minaei-bidgoli, “MKNN : Modified KNearest Neighbor,†Proc. World Congr. Eng. Comput. Sci. WCECS, E-ISSN : 2798 – 4664 89 pp. 22–25, 2008.
M. Govindarajan and R. Chandrasekaran, “Evaluation of k-Nearest Neighbor classifier performance for direct marketing,†Expert Syst. Appl., vol. 37, no. 1, pp. 253–258, 2010, doi: 10.1016/j.eswa.2009.04.055.
K. T. Tun and A. M. Aye, “Selection of Appropriate Candidates for Scholarship Application Form using KNN Algorithm,†Int. J. Sci. Eng. Technol. Res., vol. 03, no. 06, pp. 1019–1026, 2014.
B. Surarso and R. Gernowo, “Implementation of the K-Nearest Neighbor Method to determine the Classification of the Study Program Operational Budget in Higher Education,†Proceeding of ICOHETECH, pp. 201–204, 2019, [Online]. Available: http://ojs.udb.ac.id/index.php/icohetech/article/view/803.
D. Kurniadi, E. Abdurachman, H. L. H. S. Warnars, and W. Suparta, “The prediction of scholarship recipients in higher education using kNearest neighbor algorithm,†IOP Conf. Ser. Mater. Sci. Eng., vol. 434, no. 1, 2018, doi: 10.1088/1757-899X/434/1/012039.
H. Zhou, Y. Zhang, and Y. Liu, “A Global-Relationship Dissimilarity Measure for the k -Modes Clustering Algorithm,†Comput. Intell. Neurosci., vol. 2017, 2017, doi: 10.1155/2017/3691316.
A. Chaturvedi, K. Foods, P. E. Green, and J. D. Carroll, “K-modes clustering,†Journal of Classification, vol. 18, no. 1. pp. 35–55, 2001, doi: 10.1007/s00357-001-0004-3.
Y. K. JAIN and S. K. BHANDARE, “Min Max Normalization Based Data Perturbation Method for Privacy Protection,†Int. J. Comput. Commun. Technol., vol. 4, no. 4, pp. 233–238, 2013, doi: 10.47893/ijcct.2013.1201.
K. Schliep, K. Hechenbichler, and A. Lizee, “Weighted k-Nearest Neighbors,†2016, vol. 399, p. 15, 2016, [Online]. Available: https://cran.r-project.org/web/packages/kknn/kknn.pdf. [11] Z. Huang, “Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values,†Data Min. Knowl. Discov., vol. 2, pp. 283–304, 1998, doi: 10.1023/A:1009769707641.