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All Journal Jurnal Ilmiah Teknologi Informasi Asia Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknoinfo JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Prosiding Konferensi Nasional PKM-CSR PELS (Procedia of Engineering and Life Science) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Jurnal Pengabdian Masyarakat dan Inovasi Teknologi

Suryo Atmojo

Universitas Wijaya Putra

Author-ID : 2861838

Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences

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Pengembangan Model Jaringan Syaraf Tiruan untuk Memprediksi Jumlah Mahasiswa Baru di PTS Surabaya (Studi Kasus Universitas Wijaya Putra) Alven Safik Ritonga; Suryo Atmojo
Jurnal Ilmiah Teknologi Informasi Asia Vol 12 No 1 (2018): Volume 12 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Artificial Neural Network and data time series can use for good forecasting method. Artificial Neural Network is a method whose working principle is adapted from mathematical models in humans or biological neural.Neural networks are characterized by; (1)pattern of connections between the neurons(called architecture), (2)determine the weight of the connection (called training or learning), and (3)activation function.The objective of this research is to get the best artificial neural network architecture, compare two method of Backpropagation Artificial Neural Network with Radial Basis Function Artificial Neural Network (RBF).This research is a research using actual data (true experimental). This research was conducted at Wijaya Putra University Surabaya, using secondary data obtained from 2012 to 2016.The result of the research shows that there is a difference between RBF ANN method and the method of Backpropagation ANN, obtained statistical index of RBF ANN, MAE = 0.0074, RMSE = 0.0096, error = 12.6532%. Statistical index of Backpropagation ANN, MAE = 0.2129, RMSE = 0, 2752, error = 13.3217%.

Perbandingan Metode Holt Eksponential Smoothing dan Winter Eksponential Smoothing Untuk Peramalan Penjualan Souvenir Ruli Utami; Suryo Atmojo
Jurnal Ilmiah Teknologi Informasi Asia Vol 11 No 2 (2017): Volume 11 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

UD. Fajar Jaya is a trading business unit engaged in the supply of souvenirs. But in the management of the business there are some problems of which are UD. Fajar Jaya can not predict how the optimal number of souvenirs that must be provided to customers on every item souvenirs are sold. This causes the service to consumers less than the maximum, especially at certain moments sales of souvenirs (example: glass souvenirs) jumped dramatically from the number of average sales. To overcome the above, the authors propose to forecast the level of sales of souvenirs using Holt and Winter methods that exist in the development of Exponential Smoothing (ES) method. From the application of the two methods, then will make comparison of effectiveness of method which measured through actual data accuracy and forecasting result by knowing forecast error level. From the research results obtained forecasting results for Holt Double Exponential Smoothing method in July of 2017 is amounted to 599 items that may be sold with MAD forecasting error rate of 10.54 and MAPE of 3.70%. As for forecasting using Winter Exponential Smoothing method in July of 2017 is 549.6 items that may be sold with MAD 0.02 and MAPE error rate of 2.55%. The conclusion that can be drawn from the research that has been done on sales data souvenirs on UD. Fajar Jaya is that the Winter Exponential Smoothing method is more suitable to be applied in case study of souvenir sales in UD. Fajar Jaya is more than Holt Double Exponential Smoothing method.

Co-Authors Alven Safik Ritonga Ferdianus Fernando Hisyam Ib Dani Ishaq Agastyan Maulana Pratama Kelvin Dwi Pratama Mamik Usniyah Sari Muhammad Harist Murdani Muhandhis, Isnaini Nurwahyudi Widhiyanta Ruli Utami, Ruli Solton Mubarokah Suzana Dewi

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Journal : Jurnal Ilmiah Teknologi Informasi Asia