ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI JUMLAH KENDARAAN BERMOTOR YANG MEMBAYAR PAJAK MENURUT JENIS KENDARAAN DI KABUPATEN BATUBARA
Tax is a source of funds for the state to overcome various problems such as social problems, improving welfare, prosperity of its people. In the Batubara district itself, the number of receipts of Motor Vehicle Taxes and the development of the number of motorized vehicles have increased but not offset by awareness of taxpayers, this is reflected in the amount of arrears and considerable fines at the Coal Samsat Office. Looking at these problems, a method that is effective in estimating the number of vehicles paying taxes in the Batubara district is needed. The data used is data from the Regency Statistics Agency. Coal through the website www.batubarakab.bps.go.id. The data is the number of motorized vehicles that pay taxes in the Coal district in the period of 2012 to 2017. The algorithm used in this study is Artificial Neural Networks with the Backpropagation method. Input variables used are 2012 data (X1), 2013 data (X2), 2014 data (X3), 2015 data (X4), 2016 data (X5) and 2017 data as targets with models training and testing architecture of 4 architectures namely 4-4-1, 4-8-1, 4-16-1, 4-32-1. The resulting output is the best pattern of ANN architecture. The best architectural model is 4-8-1 with epoch 3681, MSE 0.009744 and 100% accuracy. So that the prediction of the number of motorized vehicles that pay taxes is obtained in Batubara district.
K. E. K. B. Susilawati, “Pengaruh Kesadaran Wajib Pajak, Pengetahuan Pajak, Sanksi Perpajak, dan Akuntabilitas Pelayanan Publik Pada Kepatuahan Wajib Pajak Kendaraan Bermotor,” E-Jurnal Akunt. Univ. Udayana, vol. 4, no. 2, pp. 345–357, 2013.
S. Ramadan and R. N. Sari, “MODEL JARINGAN SYARAF TIRUAN DALAM,” vol. 5, no. 2, pp. 122–135, 2018.
J. Matematika, F. Matematika, D. A. N. Ilmu, and P. Alam, “BACKPROPAGATION SEBAGAI SISTEM DETEKSI PENYAKIT TUBERCULOSIS ( TBC ),” 2013.
“No Title,” pp. 4–32, 2012.
A. Jumarwanto, “Aplikasi Jaringan Saraf Tiruan Backpropagation Untuk Memprediksi Penyakit THT Di Rumah Sakik Mardi Rahayu Kudus,” J. Tek. Elektro, vol. 1, no. 1, pp. 11–21, 2009.
D. O. (Faculty of I. E.-G. U. Maru’ao, “Neural Network Implementation in Foreign Exchange Kurs Prediction,” 2010.
A. P. Windarto, P. Studi, and S. Informasi, “Implementasi JST Dalam Menentukan Kelayakan Nasabah Pinjaman KUR Pada Bank Mandiri Mikro Serbelawan Dengan Metode Backpropagation,” no. 1, pp. 12–23, 2017.
Tim Badan Pusat Statistik. 2017. Jumlah Kendaraan Bermotor Yang Membayar Pajak Menurut Jenis Kendaraan Di Kabupaten Batubara 2012-2017. Online : www.batubarakab.bps.go.id
Copyright (c) 2019 Enjelica Rumapea, Bintang Bestari, Joose Andar Laidin Manurung, Handrizal Handrizal, Solikhun Solikhun
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright in each article belongs to the author.
- The authors admit that RESISTOR Journal as a publisher who published the first time under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
- Authors can include writing separately, regulate distribution of non-ekskulif of manuscripts that have been published in this journal into another version (eg sent to respository institution author, publication into a book, etc.), by recognizing that the manuscripts have been published for the first time in RESISTOR Journal