Metode peramalan dengan pendekatan model runtun waktu box-jenkins.

Penaksiran parameter pada runtun waktu proses memori jangka panjang dengan model Autoregressive Fractionally Integrated Moving Average (ARFIMA) = Estimation of the long memory time series process parameter with Autoregressive Fractionally Integrated Moving Average (ARFIMA)

Peramalan Tingkat Morbiditas Tuberkulosis di Indonesia dengan Menggunakan Error-Variation Fuzzy Time Series (EV-FTS) Berdasarkan ARIMA = Forecasting Tuberculosis Morbidity Rate in Indonesia Using Error-Variation Fuzzy Time Series (EV-FTS) Based On ARIMA

Model Kumaraswamy Autoregressive Moving Average untuk Data Runtun Waktu Terbatas = Kumaraswamy Autoregressive Moving Average Model for Bounded Time Series Data

Model Hybrid ARIMA-RNN dengan Filter Empirical Mode Decomposition untuk Peramalan Indeks Harga Saham Gabungan = Hybrid ARIMA-RNN Model with Empirical Mode Decomposition Filter for Forecasting Indonesia Composite Index