Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4.5 Algorithms

Mardison Mardison(1*), Sarjon Defit(2), Shaza Alturky(3),

(1) Universitas Putra Indonesia YPTK Padang
(2) Universitas Putra Indonesia YPTK Padang
(3) Aleppo University
(*) Corresponding Author


Obtaining a scholarship is the desire of every student or student who studies, especially those who come from poor families. The scholarship can lighten the burden on parents who pay for these students and can streamline the lecture process. However, students do not know exactly what they have to do to get the scholarship. Aside from that, students naturally want to know what causes and conditions have the greatest impact on achievement. The objective of this research is how to predict which number of students among them are predicted to get a scholarship at the opening of the scholarship acceptance using the K-Means and C4.5 methods. Apart from that, the aim of this research is to discover how the K-Means algorithm conducts data clustering (clustering) of student data to determine if they will succeed or not, as well as how the C4.5 algorithm makes predictions against students who have been clustered together. The Rapid Miner program version 9.7.002 was used to process the data in this report. The results of this study were that out of 100 students, 32 students were not scholarship recipients and 68 students were scholarship recipients. Another result of this research is that out of 100 students it is predicted that 9 (9%) will receive scholarships and 91 (91%) will not receive scholarships.


Hybrid Data Mining K-Means Algorithm C4.5 Algorithm Scholarship Recipient

Article Metrics

Abstract view : 111 times


B. Mardiyati and R. Yuniawati, “Differences in Career Adaptability in terms of Type of School (SMA dan SMK),” Empathy J. Fak. Psikol., vol. 3, no. 1, pp. 31–41, 2015.

K. Winanti, Yuliyani, and A. Agoestanto, “Cultivating the Character of Students of SMAN 13 Semarang through Kanjusera,” J. Profesi Kegur., vol. 3, no. 2, pp. 16–24, 2017.

M. Zammi, E. Susilaningsih, and K. I. Supardi, “Increasing Motivation and Learning Outcomes of Circular Motion Physics with the Assisted Bicycle Bike Learning Method for Class X MIPA2 Students of SMA Negeri 1 Gemuh” J. Profesi Kegur., vol. 4, no. 1, pp. 37–41, 2018.

L. T. Antika and L. Ibana, “Correlation between identification of evolution theory misconceptions and learning outcomes of Biology education students” J. Pendidik. dan Kebud., vol. 3, no. 2, pp. 117–128, 2018.

A. Putra, J. S. Ardiwinata, and V. R. Hasanah, “Learning Components of the Cultural Literacy Program at Eco Bambu Cipaku” J. Pendidik. dan Kebud., vol. 3, no. 2, p. 141, 2018, doi: 10.24832/jpnk.v3i2.921.

S. B. Raharjo, L. Yuliana, and Y. H. Yudha, “Achievement of National Education Standards as Predictors of School Quality” J. Pendidik. dan Kebud., vol. 3, no. 2, p. 129, 2018, doi: 10.24832/jpnk.v3i2.750.

F. D. Indonesia, “Journal of higher education systems analysis” Anal. Sist. Pendidik. Tinggi, vol. 2, no. 1, pp. 1–60, 2018.

S. A. Nulhaqim, D. H. Heryadi, R. Pancasilawan, and M. Ferdryansyah, “The Role of Higher Education in Improving the Quality of Education in Indonesia to Face the 2015 Asean Community Case Study: University of Indonesia, Padjadjaran University, Bandung Institute of Technology” Share Soc. Work J., vol. 6, no. 2, p. 197, 2016, doi: 10.24198/share.v6i2.13209.

U. Rahardja, I. Handayani, and R. Wijaya, “Application of the Technomedia Journal Viewboard using the iLearning Journal Center system in Higher Education” Technomedia J., vol. 2, no. 2, pp. 81–93, 2018, doi: 10.33050/tmj.v2i2.326.

Q. Aini, U. Rahardja, A. H. Arribathi, and N. P. L. Santoso, “Application of Cloud Accounting in Support” vol. 4, no. 1, pp. 60–64, 2019.

N. I. Kurniati, A. Rahmatulloh, and D. Rahmawati, “Comparison of the Performance of the Ant Colony Algorithm and the Genetic Algorithm - Taboo Search in Lecture Scheduling” Comput. Eng. Sci. Syst. J., vol. 4, no. 1, p. 17, 2019, doi: 10.24114/cess.v4i1.11387.

M. Kavitha, M. Suganthy, and R. Srinivasan, “Intelligent learning system using data mining-ilsdm,” Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 9, pp. 505–508, 2019, doi: 10.35940/ijitee.i7705.078919.

S. A. Safdar, T. Yue, S. Ali, and H. Lu, Using multi-objective search and machine learning to infer rules constraining product configurations, vol. 27, no. 1–2. Springer US, 2020.

Adiwijaya, U. N. Wisesty, E. Lisnawati, A. Aditsania, and D. S. Kusumo, “Dimensionality reduction using Principal Component Analysis for cancer detection based on microarray data classification,” J. Comput. Sci., vol. 14, no. 11, pp. 1521–1530, 2018, doi: 10.3844/jcssp.2018.1521.1530.

A. Alos and Z. Dahrouj, “Using multiple deep neural networks platform to detect different types of potential faults in unmanned aerial vehicles,” J. Aerosp. Technol. Manag., vol. 13, pp. 1–12, 2021, doi: 10.1590/jatm.v13.1186.

A. R. Damanik et al., “Implementation of the K-Means Method in Comparison of Unemployment Rates and Workers by Province,” Pros. Semin. Nas. Ris. Dan Inf. Sci., vol. 2, no. 0, pp. 24–31, 2020, [Online]. Available:

J. Jaroji, D. Danuri, and F. P. Putra, “K-Means To Determine Prospective Bidik Misi Scholarship Recipients in Polbeng” INOVTEK Polbeng - Seri Inform., vol. 1, no. 1, p. 87, 2016, doi: 10.35314/isi.v1i1.129.

B. M. Metisen and H. L. Sari, “Clustering analysis uses the K-Means method in grouping product sales at Fadhila Supermarkets” J. Media Infotama, vol. 11, no. 2, pp. 110–118, 2015.

H. Hendri, H. Awal, and Mardison, “Implementation of Solar-Cell for Free Tourist Facilities and Tourism Promotion Media for the City of Padang” STMIK Indones. Padang, vol. 8, no. 2, p. 121, 2019.

M. J. Nurul Rohmawati, Sofi Defiyanti, “Implementation of the K-Means Algorithm in Clustering Scholarship Applicants” J. Ilm. Teknol. Inf. Terap., vol. I, no. 2, pp. 62–68, 2015.

M. R. L. Iin Parlina, Agus Perdana Windarto, Anjar Wanto, “Utilizing the K-Means Algorithm in Determining Eligible Employees to Participate in the Assessment Center” J. Comput. Eng. Syst. Sci., vol. 3, no. 1, pp. 87–93, 2018.

L. Maulida, “Application of Datamining in Grouping Tourist Visits to Leading Tourist Attractions in Prov. Dki Jakarta with K-Means” JISKA (Jurnal Inform. Sunan Kalijaga), vol. 2, no. 3, p. 167, 2018, doi: 10.14421/jiska.2018.23-06.

R. A. Asroni, “Application of the K-Means Method for Student Clustering Based on Academic Values with Weka Interface Case Studies at the Department of Informatics, UMM Magelang” Ilm. Semesta Tek., vol. 18, no. 1, pp. 76–82, 2015, doi: 10.1038/hdy.2009.180.


Copyright (c) 2021 International Journal of Artificial Intelligence Research


International Journal Of Artificial Intelligence Research

Organized by: Departemen Teknik Informatika STMIK Dharma Wacana
Published by: STMIK Dharma Wacana
Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung
phone. +62725-7850671
Fax. +62725-7850671
Email: | 

View IJAIR Statcounter

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.