Combination of The MADM Model Yager and k-NN to Group Single Tuition Payments


Alders Paliling(1); Muh Nurtanzis Sutoyo(2*);

(1) Universitas Sembilabelas November
(2) Universitas Sembilanbelas November
(*) Corresponding Author

  

Abstract


Tuition payments at State Universities (PTN) use a Single Tuition Fee (UKT) payment system. It has been  implemented to make it easier for students to pay their tuition. The UKT system is divided into several groups starting from the UKT group I  to VIII. Universitas Sembilanbelas November (USN) Kolaka  is a state university and the university should determine the amount of tuition fees for each student according to the UKT system. In determining the UKT group for each student, several variables were used to make it easier to group student into their UKT groups. However, the large number of students, a number of variables and the limited time to determine the amount of UKT for each student become an issue,  so a method was needed to help USN Kolaka in grouping UKT for each student. One thing that can be done was to use the MADM model Yager and k-NN in order to make it easier to group UKT students. The results of the study showed that the use of the MADM Model Yager and k-NN could determine the UKT group of the students, and the results obtained for the UKT group I were 63 people (21.95%), the UKT group II were 72 people (25.09%), the UKT group III were 120 people (41.81%), UKT group IV were 7 people (2.44%), and UKT group V were 25 people (8.71%).

Keywords


K-NN; MADM Model Yager; PTN; UKT; USN Kolaka

  
  

Full Text:

PDF
  

Article Metrics

Abstract view: 214 times
PDF view: 105 times 		     

Digital Object Identifier

doi  https://doi.org/10.33096/ilkom.v15i2.1349.326-334 		  

Cite

How to cite item

References


T. H. B. Aviani and A. T. Hidayat, “Sistem Pendukung Keputusan Seleksi Pemberian Uang Kuliah Tunggal Menerapkan Metode WASPAS,” Jurnal Sistem Komputer dan Informatika (JSON), vol. 2, no. 1, pp. 102–109, 2020, doi: 10.30865/json.v2i1.2482.

H. S. Kurniawan, S. Hadiati, and J. R. Joesoef, “Analisis Efektivitas Dan Kontribusi Penerimaan Uang Kuliah Tunggal Terhadap Pendapatan Blu di Universitas Negeri Malang 1,” Jurnal Pendidikan & Budaya Warta Perndidikan, vol. 56, pp. 29–37, 2021.

Kemenristekdikti, “Peraturan Menteri Riset Teknologi dan Pendidikan Tinggi Republik Indonesia,” Kemenristekdikti, pp. 1–58, 2019.

M. N. Sutoyo and A. T. S. Mangkona, “The selection of SNMPTN applicants using the TOPSIS and rank order centroid (ROC) methods,” ILKOM Jurnal Ilmiah, vol. 13, no. 3, pp. 272–284, 2021.

M. N. Sutoyo, “Implementasi Metode MADM Model Yager untuk Seleksi Penerima Beasiswa PPA,” JUITA : Jurnal Informatika, vol. 5, no. 2, p. 81, 2018, doi: 10.30595/juita.v5i2.1630.

S. wulan Bety, “Penerapan Fuzzy Madm Model Yager Pada Sistem Pendukung Keputusan Seleksi Penerimaan Siswa Baru Smp N 4 Paku,” Ilmiah Dasi, vol. 17, no. December, pp. 1–75, 2016.

A. S. Honggowibowo, “Developing a Decision Support System of Land Location for Apartment Investment Using Fuzzy MADM Yager Model,” Conference SENATIK STT Adisutjipto Yogyakarta, vol. 4, 2018, doi: 10.28989/senatik.v4i0.221.

S. Zhang, X. Li, M. Zong, X. Zhu, and D. Cheng, “Learning k for kNN Classification,” ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 3, 2017, doi: 10.1145/2990508.

M. M. Baharuddin, H. Azis, and T. Hasanuddin, “Analisis Performa Metode K-Nearest Neighbor Untuk Identifikasi Jenis Kaca,” ILKOM Jurnal Ilmiah, vol. 11, no. 3, pp. 269–274, 2019, doi: 10.33096/ilkom.v11i3.489.269-274.

Isman, Andani Ahmad, and Abdul Latief, “Perbandingan Metode KNN dan LBPH pada Klasifikasi Daun Herbal,” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 5, no. 3, pp. 557–564, 2021, doi: 10.29207/resti.v5i3.3006.

S. Aulia, S. Hadiyoso, And D. N. Ramadan, “Analisis Perbandingan KNN dengan SVM untuk Klasifikasi Penyakit Diabetes Retinopati berdasarkan Citra Eksudat dan Mikroaneurisma,” ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol. 3, no. 1, p. 75, 2015, doi: 10.26760/elkomika.v3i1.75.

R. M. Firzatullah, “Menggunakan Sistem Pendukung Keputusan Penentuan Uang Kuliah Tunggal Universitas XYZ Menggunakan Algoritma Backpropagation,” Petir, vol. 14, no. 2, pp. 170–180, 2021, doi: 10.33322/petir.v14i2.996.

M. Agung, J. M. Parenreng, A. Wahid, M. S. N. Wahid, S. A. Putra, and M. M. Bahar, “Sistem Penentuan Nilai Uang Kuliah Tunggal (UKT) Mahasiswa Baru Universitas Negeri Makassar,” JESSI, vol. 01, no. May, pp. 9–17, 2020.

E. S. Nabila, R. Rahmawati, and T. Widiharih, “Implementasi Metode SAW dan WASPAS dengan Pembobotan Roc Dalam Seleksi Penerimaan Peserta Didik Baru (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019),” Jurnal Gaussian, vol. 8, no. 4, pp. 428–438, 2019, doi: 10.14710/j.gauss.v8i4.26723.

G. Guo, H. Wang, D. Bell, Y. Bi, and K. Greer, “KNN model-based approach in classification,” in OTM Confederated International Conferences" On the Move to Meaningful Internet Systems", Springer, 2003, pp. 986–996.

A. Yudhana, I. Riadi, and M. R. Djou, “Determining Eligible Villages for Mobile Services using K-NN Algorithm,” ILKOM Jurnal Ilmiah, vol. 15, no. 1, pp. 11–20, Apr. 2023, doi: 10.33096/ilkom.v15i1.1546.11-20.

W. Nengsih, Y. Fitrisia, and M. Fadhli, “Comparative Analysis to Determine the Best Accuracy of Classification Methods,” ILKOM Jurnal Ilmiah, vol. 14, no. 2, pp. 134–141, Aug. 2022, doi: 10.33096/ilkom.v14i2.1128.134-141.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Alders Paliling, Muh Nurtanzis Sutoyo

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