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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References


K. C. Laudon and C. G. Traver, E-commerce: Business, Technology, Society, 15th ed. Pearson, 2020.

M. Chaffey, Digital Business and E-Commerce Management, 6th ed. Harlow: Pearson Education, 2015.

A. H. Saputra, “E-Commerce Theory and Concepts, Analysis in Implementing Sembol (Online Grocery) Gambir Traditional Market,” International Journal of Business and Digital Economy, vol. 5, no. 2, pp. 45–52, 2024.

S. Suyanto, M. H. Nugroho, and R. A. Putri, “Adoption of Local E-Commerce Models in Traditional Markets in Indonesia,” Journal of Digital Economy Research, vol. 3, no. 1, pp. 22–31, 2023.

F. R. Tjiptono and G. Chandra, Service, Quality, and Satisfaction in Digital Marketing, Yogyakarta: Andi Publisher, 2021.

F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, vol. 13, no. 3, pp. 319–340, 1989.

Chen, M., Mao, S., & Liu, Y. (2014). Big Data: A Survey. Mobile Networks and Applications, 19(2), 171-209.

Chong, A. Y. L., & Li, B. (2017). The

Influence of Social Media Marketing on Consumer Behavior: An Empirical Study on Online Travel. Journal of Travel Research, 0047287517735427.

Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage publications

C. Rizal, M. Iqbal, R. Rian Putra, and M. Israr Fathoni, “RANCANG BANGUN SISTEM INFORMASI POSYANDU IBU DAN ANAK BERBASIS WEB WEB-BASED INFORMATION SYSTEM OF MOTHER AND CHILD POSYANDU DESIGN.”

Davenport, T. H., & Harris, J. (2007). Competing on Analytics: The New Science of Winning. Harvard Business Review Press.

Gandomi, A., & Haider, M. (2015). Beyond the Hype: Big Data Concepts, Methods, and Analytics. International Journal of Information Management, 35(2), 137-144.

J. Hendrawan, I. D. Perwitasari, and M. Ramadhani, “RANCANG BANGUN SISTEM INFORMASI UKM PANCA BUDI BERBASIS WEBSITE DESIGN OF INFORMATION SYSTEM UKM PANCA BUDI BASED ON WEB,” Journal of Information Technology and Computer Science (INTECOMS), vol. 3, no. 1, 2020.

Kotler, P., & Armstrong, G. (2017).

Principles of Marketing. Pearson.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2019). Multivariate Data Analysis. Pearson.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-152.

Mitchell, R. K., Agle, B. R., & Wood, D. J. (1997). Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of Who and What Really Counts. Academy of Management Review, 22(4), 853-886.

Ward, J. S., & Barker, A. (2013). Undefined by Data: A Survey of Big Data Definitions. arXiv preprint arXiv:1309.5821.

M. Irfan Sarif, Supiyandi, and M. K. Pratama, “Penerapan Smart System Konveyor Pemilih Buah - Buahan Menggunakan Mikrokontroller Arduino,” J. Sistim Inf. dan Teknol., vol. 5, no. 1, pp. 73–77, 2023, doi: 10.37034/jsisfotek.v5i1.204.

P. Hasan Putra and M. Syahputra Novelan, “PERANCANGAN APLIKASI SISTEM INFORMASI BIMBINGAN KONSELING PADA SEKOLAH MENENGAH KEJURUAN,” Jurnal Teknovasi, vol. 07, pp. 1–7.

R. R. Putra, S. Handayani, F. Kurniawan, and C. Wadisman, “ANALYSIS OF CUSTOMER DATA IN SELECTING POTENTIAL CUSTOMERS USING DATA MINING WITH THE K-MEANS,” pp. 125–135, 2023.

Yin, R. K. (2018). Case Study Research and Applications: Design and Methods. Sage publications.

Y. Yusman and S. Haryati, “Desain Sistem Informasi Persediaan Barang Pada Yolanda Mart.” [Online]. Available:


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