This article briefly explains the simultaneous spatial durbin panel (SSDP) model. The study of the SSDP model is substantial because it can explain the interaction between geographic units, is more informative, diverse, efficient, exhaustive, and accurate in reaching conclusions that influence the policy determination. This article’s intention is to derive a parameter estimation method from the SSDP model using a modified generalized estimating equation approach, which is then used to model economic growth in ASEAN nations. This article compares the SSDP model with rook contiguity, 2-nearest neighbors, and a customized spatial weighted matrix in relation to an independent, first-order autoregressive, exchangeable working correlation structure. To model economic growth in ASEAN countries, a customized weighted matrix with first-order autoregressive and exchangeable working correlations is chosen based on the CIC value. The parameter analysis outcomes indicate: 1) it is a significant spatial dependence among ASEAN countries; 2) it is a significant simultaneous interaction among the gross domestic product (GDP) and foreign direct investment (FDI); 3) GDP has a greater influence on FDI than FDI does on GDP; 4) The economic growth is directly affected by the labor force total; and 5) trade openness has a direct effect on FDI.

Pandemic covid has changed the business view to be more dynamic to business performance. The policy of restricting activity also undermines business difficulties that occur, so it is necessary to find how businesses can survive wholesale. This research was conducted to determine the effect of supply chain management (SCM) on multi-channel retailing and business performance in the era of pandemic covid-19 and restrictions on community mobility. Using analysis of this research path is divided into two criteria of direct and indirect influence. This study was conducted on several wholesale shops in Indonesia with 99 respondents. The main finding of this study is that SCM can affect business performance through multi-channel retailing with three main indicators: inventory investment, inventory efficiency, and forecasting accuracy. The added value gained from this research is from the test results obtained that a good inventory management scheme and forecasting and support from many supplies and sales channels will drive business performance for the better.

This research aims to present the Hybrid SSA-TBATS approach as an alternate forecasting technique that does not need specific assumptions or requirements such as stationarity, linear or nonlinear process, and normality. This analysis used Indonesian exports (in millions of USD) from January 1993 to July 2022. The findings of this research reveal that the Hybrid SSA-TBATS method outperforms SSA and TBATS in forecasting accuracy and defines the window length and number of groups. Therefore, it is highly recommended based on MAPE since it does not need any information on the characteristics of the data to be forecasted.