Analisis Strategi Optimal Persaingan Platform E-Commerce dengan Menggunakan Game Theory

Authors

  • Ramdani Ramdani Universitas Pamulang
  • Irvana Arofah Universitas Pamulang

DOI:

https://doi.org/10.62383/algoritma.v3i6.841

Keywords:

E-Commerce, Game Theory, Optimal Strategy, Shopee, Tokopedia

Abstract

The development of information technology in the era of globalization continues to accelerate. This has brought significant changes in various fields, one of which is online business, namely e-commerce. This study aims to analyze competition and provide optimal strategies for Shopee and Tokopedia in addressing their dependence on subsidies and large-scale discounts, so that both platforms can remain competitive effectively without experiencing a decline in profit margins. The research method used is a quantitative approach with a survey research method. The data used is primary data analyzed using Game Theory with Pure Strategy, Mixed Strategy, and Linear Programming. The results show that Shopee obtained optimal strategies for Price (proportion 0.3568) and Product Completeness (proportion 0.6427). Meanwhile, Tokopedia obtained optimal strategies for Promotion (proportion 0.3568) and Product Completeness (proportion 0.6427). The implication of this study is that companies can use the optimal strategies obtained to overcome their dependence on subsidies and large-scale discounts, which result in declining profit margins for both platforms.

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Published

2025-11-27

How to Cite

Ramdani Ramdani, & Irvana Arofah. (2025). Analisis Strategi Optimal Persaingan Platform E-Commerce dengan Menggunakan Game Theory. Algoritma : Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian Dan Angkasa, 3(6), 85–97. https://doi.org/10.62383/algoritma.v3i6.841