Muhammad Riefqi
Analisis Peramalan Permintaan Barang Consumer Goods dengan Menggunakan Neural network dan ARIMA = Forecast Analysis of Consumer Goods Demand Using Neural network and ARIMA
Fakultas Teknik Universitas Indonesia, 2013
 UI - Skripsi Membership
Yosef Benyamin
Pemilihan metode peramalan untuk mendapatkan peramalan obat yang akurat dengan metode Single Exponential Smoothing (SES), Autoreggresive Integrated Moving Average (ARIMA), dan Artificial Neural Network (ANN) pada divisi farmasi di rumah sakit. = Selection of forecasting method that suitable for medicine forecasting in Hospital Supply Chain using Single Exponential Smoothing (SES), Autoregressive Integrated Moving Average (ARIMA), and Artificial Neural Network (ANN) in hospital pharmaceutical divi
Fakultas Teknik Universitas Indonesia, 2020
 UI - Skripsi Membership
Fatwa Dewi Widyani
Perbandingan Metode Artificial Neural Network dan Seasonal ARIMA untuk Peramalan Intermittent pada Perusahaan Telekomunikasi = Comparison of Artificial Neural Network and Seasonal ARIMA to Forecast Intermittent Demand in Telecommunication Company
Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2021
 UI - Tesis Membership
Hadi Al Rasyid
Peramalan permintaan konsumsi BBM Premium di Indonesia dengan metode multi linear regresi dan neural network = Forecasting of Premium Fuel demand in Indonesia with using multi linear regression and neural neetwork methode
Fakultas Teknik Universitas Indonesia, 2016
 UI - Tesis Membership
Hutama Dwantara
Peramalan permintaan produk service parts menggunakan metode single exponential smoothing, croston S method dan artificial neural network = Demand forecasting of car service parts using single exponential smoothing croston S method and artificial neural network
Fakultas Teknik Universitas Indonesia, 2017
 UI - Skripsi Membership