Time Series Model Analysis Using Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) for E-wallet Transactions during a Pandemic

The use of e-wallet can be accessed easily via the internet, this create a positive impact for economic stability after Covid-19 pandemic. This move wheels community's economy, through online shopping and among public. number digital services in Indonesia has increased during first position is occupied by e-commerce second wallets which 65%. Based on data from increasing service users Indonesia. There are several forms that have large scale, such as GoPay, OVO, Tokopedia, Bukalapak. Several types e-wallets analyzed time series models, so they help project transactions post-pandemic future. method obtaining model using Autocorrelation Function (ACF) Patial (PACF).