Penerapan Jaringan Syaraf Tiruan Backpropagation Dalam Memprediksi Jumlah Pertumbuhan Kendaraan Di Provinsi Sumatera Utara
DOI:
https://doi.org/10.30865/resolusi.v2i4.333Abstract
Motorized vehicles are part of the need for transportation of vehicles that are derivatives due to economic, social, and other activities. The growth of vehicles is not proportional to the population in the province of North Sumatra. This causes various negative impacts, one of which is an increase in traffic congestion, air pollution from motorized vehicles which causes an increase in greenhouse gas emissions. Based on this problem, it is necessary to predict the number of vehicles in North Sumatra Province using the backpropagation algorithm artificial neural network. The results of trials carried out with MATLAB R2011b software, the best architectural model is the 2-2-1 model with an accuracy rate of 94% with MSE number 0.000208514, epoch value 789. It can be concluded that the Backpropagation method can be used as one of the predictive methods that make it easier to find predictions. Whatever.
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References
M. C. Amin, “Faktor- Faktor Yang Mempengaruhi Pertumbuhan Kendaraan Bermotor Roda Dua Di Kota Pekanbaru,” pp. 1106–1120, 2017.
G. Guntoro, L. Costaner, and L. Lisnawita, “Prediksi Jumlah Kendaraan di Provinsi Riau Menggunakan Metode Backpropagation,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 14, no. 1, p. 50, 2019.
M. Andrijasa et al., “Penerapan Jaringan Syaraf Tiruan Untuk Memprediksi Jumlah Pengangguran di Provinsi Kalimantan Timur Dengan Menggunakan Algoritma Pembelajaran Backpropagation,” J. Inform. Mulawarman, vol. 5, no. 1, 2010.
Husni, “Kecerdasan Buatan,” 2012.
C. Oktaviani and Afdal, “Prediksi Curah Hujan Bulanan Menggunakan Jaringan Syaraf Tiruan Dengan Beberapa Fungsi Pelatihan Backpropagation,” J. Fis. Unand, vol. 2, no. 4, pp. 228–237, 2013.
F. Tempola and S. Do Abdullah, “Case-Based Reasoning ( CBR ) untuk Penentuan Kelayakan Mahasiswa Penerima Beasiswa,” vol. 5, no. 2, pp. 1–5, 2018.
C. Iswahyudi and E. Sutanta, “USE CASE DIAGRAM,” 2018.
A. Paramitha, S. Kom, and M. Kom, “( Activity Diagram ),” 2018.
B. Hardian, M. Sulisetyani, and R. Rafian, “Diagram sequence uml,” no. 51412367, pp. 1–11, 2014.
P. D. Liksha, “Aplikasi Akuntansi Pengolahan Data Jasa Service,” vol. 1, no. 1, pp. 1–14, 2018.
R. Nurmalina, “Perencanaan dan Pengembangan Aplikasi Absensi Mahasiswa Menggunakan Smart Card Guna Pengembangan Kampus Cerdas ( Studi Kasus Politeknik Negeri Tanah Laut ),” vol. 9, no. 1, pp. 84–91, 2017.
A. MS and M. H. Baysha, “Pengaruh Media Pembelajaran Matrix Laboratory (Matlab) Terhadap Hasil Belajar Siswa,” vol. 3, pp. 10–20, 2018.
A. Fitriana, “Pengembangan Kapasitas (Capacity Building) Dosen Lektor Kepala Dalam Rangka Meningkatkan Kinerja Dosen Pada Fakultas Teknik Universitas Gadjah Mada Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu,” 2016.
Ismail, “Penyakit Anemia Dengan Metode Forward Chaining Berbasis Android,” Repositori.Uin-alauddin.ac.id, pp. 1–12, 2017.
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