Rainy Nafitri
Penerapan metode peramalan sebagai dasar penentuan tingkat kebutuhan safety stock pada industri elektronik = Application of forecasting methods as a basis for determining the level of safety stock requirements in electronics industry
Fakultas Teknik Universitas Indonesia, 2010
 UI - Skripsi (Open)
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)
Fitri Yulianti
Modeling dan forecasting tingkat produksi gas di Indonesia menggunakan metode autoregressive integrated moving average (ARIMA) = modeling and forecasting gas prodution rate in Indonesia using autoregressive integrated moving average (ARIMA) methods
Fakultas Teknik Universitas Indonesia, 2012
 UI - Skripsi (Open)
Billy Aji Wicaksono
Analisis prediksi pengguna fixed broadband di Indonesiamenggunakan technology acceptance model dan autoregressive integrated moving average (ARIMA) pada tahun 2025
Fakultas Teknik Universitas Indonesia, 2020
 UI - Tesis (Membership)
Muhammad Aldi Rahmansyah Kurnia
Peramalan Persediaan Produk Jadi Kategori Nutrisi pada Perusahaan Fast Moving Consumer Goods (FMCG) Menggunakan Metode Autoregressive Integrated Moving Average = Forecasting Finished Product Inventories for the Nutrition Category in Fast Moving Consumer Goods (FMCG) Company Using the Autoregressive Integrated Moving Average Method
Fakultas Teknik Universitas Indonesia, 2023
 UI - Skripsi Membership