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The analysis of import duty policies on the protection of the local industry sector, especially in the context of cross-border e-commerce, has become very relevant amid the rapid development of digital trade. This study aims to evaluate the impact of import duty policies implemented by the Indonesian government on local industries and Micro, Small and Medium Enterprises (MSMEs). With increasing access to imported goods through e-commerce platforms, the challenges for local products are growing. New policies that regulate the amount of import duties, including the possibility of high tariffs, are expected to suppress the inflow of foreign goods that can harm domestic industries. Through this case study, it is hoped that an effective solution can be found to create a balance between the protection of local industries and ease of access for consumers in the digital era. The findings of this study are expected to provide better policy recommendations to support the growth of the domestic industrial sector.

The implementation of this community service involves one MSME, namely 'Mask and Furniture Wholesale Shop'. Located in Jayamukti Village, Central Cikarang District, Bekasi Regency or about 4.0 km from Pelita Bangsa University. MSMEs wholesale masks and furniture play a strategic role in meeting community needs, especially during the pandemic and changes in people's lifestyles that lead to online shopping. This service aims to examine the effect of training and e-commerce utilization in improving the competitiveness and operational efficiency of wholesale stores in this sector. Through training that focuses on the use of e-commerce platforms and internet-based marketing strategies, it is hoped that this training can evaluate the impact of digital transformation on the business growth of mask and furniture wholesale stores. The method used is a qualitative method, namely through a case study approach and in-depth interviews with MSME players, with the aim of analyzing the effectiveness of training that focuses on the use of ecommerce platforms and online marketing strategies. The results of the service showed that ecommerce training improved the ability of MSMEs to access a wider market, optimize business management, and increase sales. In addition, MSME players also face challenges such as technology adaptation and logistics management. This study provides recommendations on the importance of continuous training, technological infrastructure support, and collaboration between the government and e-commerce platforms to maximize the potential of wholesale MSMEs in the digital era..  .

In the rapidly growing era of digitalization, significant changes have occurred in consumer behavior, especially with the existence of e-commerce platforms and online marketing innovations. Today's consumers frequently browse for information about fashion products before making a purchase. Goals of the study to examine the impact of product searches on impulsive buys, Together with the relationship's moderating effect of flash sales, as well as sharia business perspective. Purposive sampling is a quantitative research method that is utilized. involving Shopee users in Bandar Lampung City. Data were collected using a Google Form-based questionnaire with a Likert scale. The findings indicated that the chance of making an impulsive purchase increased with the amount of time spent searching.. In addition, flash sales were shown to moderate this relationship, increasing impulse buying tendencies when found during browsing. These findings imply that the management of product browsing and flash sale offers needs to be considered in marketing strategies, taking into account the Shariah perspective to ensure fair and non-wasteful transactions.

This paper explores the impact of digital transformation on the economic growth of developing countries. It examines how the adoption of digital technologies such as ecommerce, mobile banking, and digital education can improve productivity, create new markets, and foster inclusive growth. Through a comparative analysis of case studies from various regions, the study highlights the opportunities and challenges faced by developing economies in leveraging digital tools for sustainable development.  

Collaborative filtering systems rely heavily on matrix factorization techniques, which often face scalability issues when handling large datasets. This paper presents an efficient parallel algorithm that leverages distributed computing to perform largescale matrix factorization. Experimental results show that our algorithm significantly reduces computation time while maintaining high accuracy. The approach has practical implications for recommendation systems, particularly in ecommerce and social media platforms.