E-COMMERCE THEORY AND CONCEPTS, ANALYSIS IN IMPLEMENTING SEMBOL (ONLINE GROCERY) GAMBIR TRADITIONAL MARKET

Supina Batubara, Eko Hariyanto, Abdul Khaliq, Afdi Afandi

Abstract


This research aims to design an e-commerce based SEMBOL (Sembako Online) application that uses big data technology and predictive analysis. This study takes a case study at the Gambir Percut Sei Tuan Traditional Market as an example of implementation. Traditional markets often face challenges in providing the convenience of shopping offered by modern e-commerce platforms. By utilizing big data technology, the SEMBOL application is expected to provide users with a more efficient and personalized shopping experience, while also helping traditional traders improve the operational efficiency of the Gambir Traditional Market. The research methods used in this research include user needs analysis, user interface design, and development big databased system. Additionally, predictive analytics will be used to understand customer shopping patterns, predict product demand and optimize supply chains. It is hoped that the results of this research can be a guide for traditional traders and other stakeholders in utilizing e-commerce technology and big data to increase the competitiveness of the Gambir Traditional Market

Keywords


SEMBOL; Online Groceries; E-commerce; Big Data; Predictive Analytics; Traditional Markets.

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