METHOD COMPARISON IN THE DECISION SUPPORT SYSTEM OF A SCHOLARSHIP SELECTION
DOI:
https://doi.org/10.21107/kursor.v11i2.263Keywords:
Analytical Hierarchy Process, TOPSIS, Deep Learning, Decision Support SystemAbstract
Commonly, the current scholarship selection process has different targets and various criteria for its prospective scholarship recipients. This causes the decision-making process for scholarship selection to be complex, whereas in the general scholarship selection is time-limited. The solution that can be done is to use a DSS (Decision Support System) to improve consistency and speed up decision-making. The available methods for making a DSS used in this study are the Analytical Hierarchy Process, TOPSIS, and the second model using a deep learning approach. The performance of the DSS will then be evaluated using a Confusion Matrix to determine the cost level of each DSS and analyze the strengths and weaknesses of each DSS. The DSS model with the AHP-TOPSIS approach has been successfully created, with the accuracy performance for introducing data on merit, bidikmisi, and independent scholarship schemes are 56.72%, 65.21%, and 95.87%, respectively. While the DSS model with a deep learning approach has been successfully created with accuracy performance of 71.93%, 100%, and 100%, respectively. There are considerable differences between these two approaches. This may be due to the weighting process in the AHP approach which cannot be carried out with precision.
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References
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[3] A. Junaidi et al., “Pemilihan Penerima Beasiswa Menggunakan Metode Profile Matching,†vol. 19, no. 2, 2017.
[4] A. Hajjah and D. Oktarina, “Decision Support System To Recommend Scholarships Using AHP TOPSIS Methods In Education And Culture Office Of Pekanbaru,†American Journal of Engineering Research (AJER, no. 7, pp. 61–67, 2018.
[5] A. Setyawan, F. Y. Arini, and I. Akhlis, “Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara,†Scientific Journal of Informatics, vol. 4, no. 1, 2017.
[6] S. Defiyanti, N. Rohmawati W, and M. Jajuli, “K-Medoid Algorithm in Clustering Student Scholarship Applicants,†Scientific Journal of Informatics, vol. 4, no. 1, 2017.
[7] Nurmalini and Rahim Robbi, “Study Approach of Simple Additive Weighting For Decision Support System Decision Support System View project Modeling of Rainfall Characteristics for Monitoring of the Extreme Rainfall Event in Makassar City View project Study Approach of Simple Additive Weighting For Decision Support System,†vol. 3, no. 2, pp. 541–544, 2017.
[8] Risawandi and R. Rahim, “Study of the Simple Multi-Attribute Rating Technique
For Decision Support,†IJSRST, pp. 491–494, 2016.
[9] Jasri, D. Siregar, and R. Rahim, “Decision Support System Best Employee Assessments with Technique for Order of Preference by Similarity to Ideal Solution,†International Journal of Recent Trends in Engineering and Research, vol. 3, no. 3, pp. 6–17, Mar. 2017, doi: 10.23883/ijrter.2017.3037.fj7lk.
[10] Mesran, G. Ginting, Suginam, and R. Rahim, “Implementation of Elimination and Choice Expressing Reality (ELECTRE) Method in Selecting the Best Lecturer (Case Study STMIK BUDI DARMA),†2017.
[11] Keen. Peter. G. W., DECISION SUPPORT SYSTEM : A RESEARCH PERSPECTIVE. Cambridge: MIT, 1980.
[12] T. D. Puspitasari, E. O. Sari, P. Destarianto, and H. Y. Riskiawan, “Decision Support System for Determining Scholarship Selection using an Analytical Hierarchy Process,†in Journal of Physics: Conference Series, Feb. 2018, vol. 953, no. 1. doi: 10.1088/1742-6596/953/1/012119.
[13] C. A. Josaputri, E. Sugiharti, and R. Arifudin, “Decision Support Systems for The Determination of Cattle with Superior Seeds using AHP and SAW Method,†Scientific Journal of Informatics, vol. 3, no. 2, 2016.
[14] R. Rahim et al., “TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees,†in Journal of Physics: Conference Series, Jun. 2018, vol. 1028, no. 1. doi: 10.1088/1742-6596/1028/1/012052.
[15] M. G. L. Putra, W. Ariyanti, and I. Cholissodin, “Selection and Recommendation Scholarships Using AHP-SVM-TOPSIS,†Journal of Information Technology and Computer Science, vol. 1, no. 1, p. 1, Apr. 2016, doi: 10.25126/jitecs.2016111.
[16] L. Aulck, D. Nambi, and J. West, “Increasing Enrollment by Optimizing Scholarship Allocations Using Machine Learning and Genetic Algorithms,†2020.
[17] Alhassan J. K. & Lawal S. A., “Using Data Mining Technique for Scholarship Disbursement,†International Journal of Information and Communication Engineering, vol. 9, no. 7, pp. 1741–1744, 2015, doi: 10.1002/ir.187.
[18] T. L. Saaty, “Decision making with the analytic hierarchy process,†2008.
[19] F. Rosenblatt, “The Perceptron: A Probabilistic Model For Information Storage And Organization In The Brain 1,†1958.
[20] D. Cireşan, U. Meier, and J. Schmidhuber, “Multi-column Deep Neural Networks for Image Classification,†Feb. 2012.
[21] C. Lemarecheal, “Cauchy and the Gradient Method,†Documenta Math, pp. 251–254, 2012.
[22] G.-H. Tzeng and J.-J. Huang, “Multiple Attribute Decision Making: Methods and Applications,†2011.
[23] A. K. Santra and C. J. Christy, “Genetic Algorithm and Confusion Matrix for Document Clustering,†2012.
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