The objective of this study is to analyze the influence of the Halal Product Supply Chain and Sharia Banking Support on the economic growth of Halal Products in Indonesia. The study also considers the role of Halal Product Commerce as an intervening variable. The research was carried out in eight districts/cities located within Banten, Indonesia. The study employed the Stratified random sampling technique, using a sample size of 250 respondents. The data collected from the surveys was further analyzed utilizing Structural Equation Modeling-Partial Least Squares (SEM-PLS). The research findings and data analysis demonstrate that the Halal Product Supply Chain has a direct and substantial influence on Halal Product Commerce. In the same vein, the endorsement of Sharia Banking likewise exerts a direct and substantial impact on the commerce of Halal Products. Moreover, the Halal Product Supply Chain exerts a direct and favorable impact on the Sharia Economic Growth of Halal Products. In addition, governmental endorsement of Sharia Banking directly and positively influences the growth of the Sharia Economy, particularly in the production of Halal Products. Ultimately, the Halal Product Trading System exerts a direct and substantial impact on the Sharia Economic Growth of Halal Products. Halal Product Commerce supports the Halal Product Supply Chain and offers Sharia Banking Assistance to foster the development of the Halal Product Sharia Economy in Indonesia.

The aim of this research is to analyze the influence of the role of AI and big data in increasing the success of e-commerce assistance and its implications for the quality of the capacity development model for MSMEs with disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia. The sample in this study was 184 respondents consisting of 3 (three) regions including Serang City, Semarang City and Banjarmasin City, Indonesia. Sampling technique using technique random sampling. Data collected through questionnaires was then analyzed using SEM-PLS. The results of research and data analysis show that: The role of AI directly has a positive and significant effect on increasing the success of e-commerce assistance; Big Data directly has a positive and significant effect on increasing the success of e-commerce assistance; The role of AI directly has a positive and significant influence on the Quality of the MSME Capacity Development Model; Government Big Data directly has a positive and significant effect on the Quality of the MSME Capacity Development Model; Increasing the Success of E-Commerce Assistance directly has a positive and significant effect on the Quality of the Capacity Development Model for MSMEs with Disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia. Increasing the Success of E-Commerce Assistance is able to mediate indirectly on the Role of AI and Big Data on the Quality of the Capacity Development Model for MSMEs with Disabilities in Serang City, Semarang City and Banjarmasin City, Indonesia.