Pengelompokan Jenis Penerimaan Pajak di Kota Makassar Menggunakan Fuzzy Clustering

Irwan Irwan, Sahlan Sidjara, Asmelia Putri Aryati

Abstract


This research discusses grouping types of tax receipts in the City of Makassar with the method of Fuzzy C-Means (FCM). The data used are secondary data from the tax office in the form of the amount of the receipts of income tax, value-added tax, and land tax building each district in the year 2018. The discussion starts from the theory of fuzzy clustering, simulation, and the characteristics of the simulation results. In this study, the obtained number of clusters the optimum, namely the 7 clusters that have the potential for tax revenue is relatively high, namely at cluster seven consists only of the District Tamalanrea, and the lowest in the cluster a sixth consisting of the Kecamatan Tallo, Ujung Tanah, and Sangkarrang. After hashing on a cluster that is formed can be used to see the level of the welfare of the community in each district.

Keywords


Fuzzy Clustering; Fuzzy C-Means; Tax Receipts

Full Text:

PDF

References


P. N. Tan, M. Steinbach, and K. Vipin, Introduction to Data Mining, Pearson Ed. Boston, 2006.

S. Annas and Z. Rais, “k-Means and GIS for Mapping Natural Disaster Prone Areas in Indonesia,” in Proceedings of the Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia. EAI, 2020, pp. 1–7, doi: http://dx.doi.org/10.4108/eai.12-10-2019.2296336.

A. Bastian, “Penerapan Algoritma K-Means Clustering Analysis Pada Penyakit Menular Manusia (Studi Kasus Kabupaten Majalengka),” J. Sist. Inf., vol. 14, no. 1, pp. 28–34, 2018.

S. Annas, Uca, Irwan, R.H. Safei, and Z. Rais, "Using k-Means and Self Organizing Maps in Clustering Air Pollution Distribution in Makassar City, Indonesia," Jambura J. Math. Vol. 4, No. 1, pp. 167–176, January 2022.

S. Annas, Irwan, R.H. Safei, and Z. Rais," Algorithm K-Prototype for Clustering The Earthquake on Sulawesi Island," Jurnal Varian, Vol. 5, No. 2, Hal. 189–195. April 2022.

B. Sartono, D. Bodro, and G. Dito, Teknik Eksplorasi Data yang Harus Dikuasi Data Scientist. Bogor: IPB Press, 2020.

A. A. Mattjik, and I. M. Sumertajaya. Sidik Peubah Ganda dengan Menggunakan SAS. IPB PRESS Edisi, 2011.

S. Kusumadewi, S. Hartati, A. Harjoko, and R. Wardoyo, Fuzzy Multi-attribute Decision Making. Yogyakarta: Graha Ilmu, 2006.

S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy untuk Pendukung Keputusan, 1st ed. Yogyakarta: Graha Ilmu, 2004.

A. Akramunnisa and F. Fajriani, " K-Means Clustering Analysis pada Persebaran Tingkat Pengangguran Kabupaten/Kota di Sulawesi Selatan," Jurnal Varian, Vol. 3, No. 2, Hal 103-112, April 2020.

R. J. Kuo, Y. Zheng, and T. P. Q. Nguyen, "Metaheuristic-based possibilistic fuzzy k-modes algorithms for categorical data clustering,” Information Sciences, 557:1–15, 2021.

M. Agung, Perpajakan, Edisi Revi. Yogyakarta: BPFE, 2007.

Wikipedia, “Daftar Kecamatan dan Kelurahan di Kota Makassar,” 2013. https://id.wikipedia.org/wiki/Daftar_kecamatan_dan_kelurahan_di_Kota_Makassar. (accessed Jun. 24, 2019).

B. N. Afni, “Analisis Fuzzy C-Means dan Penerapannya dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Faktor-Faktor Penyebab Gizi Buruk,” Universitas Negeri Makassar, 2019.

U. Efiyah, “Penerapan Algoritma Fuzzy C-Means Untuk Pengelompokan Harga Gabah di Tingkat Penggilingan Berdasarkan Kualitas Gabah,” Universitas Islam Negeri Maulana Malik Ibrahim, 2014.




DOI: https://doi.org/10.34312/euler.v10i1.14225

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Irwan Irwan, Sahlan Sidjara, Asmelia Putri Aryati

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


Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi has been indexed by:


                         EDITORIAL OFFICE OF EULER : JURNAL ILMIAH MATEMATIKA, SAINS, DAN TEKNOLOGI

 Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Negeri Gorontalo
Jl. Prof. Dr. Ing. B. J. Habibie, Tilongkabila, Kabupaten Bone Bolango 96554, Gorontalo, Indonesia
 Email: euler@ung.ac.id
 +62-852-55230451 (Call/SMS/WA)
 Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi (p-ISSN: 2087-9393 | e-ISSN:2776-3706) by Department of Mathematics Universitas Negeri Gorontalo is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.  Powered by Public Knowledge Project OJS.