Irawan, Fajar Rayhan Putra
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Systematic Literature Review: Penggunaan Teknologi Software Defined Networking (SDN) dalam Manajemen Trafik Jaringan Telekomunikasi Irawan, Fajar Rayhan Putra; Veri, Jhon; Zefriyenni, Zefriyenni
Indo-MathEdu Intellectuals Journal Vol. 6 No. 5 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i5.4069

Abstract

The purpose of this study is to examine the application of Software Defined Networking (SDN) in telecommunication network traffic management through a Systematic Literature Review (SLR) approach. Literature data were collected from reputable databases such as IEEE Xplore, Scopus, ACM Digital Library, and ScienceDirect, then selected using PRISMA guidelines and analyzed with the assistance of Covidence and VOSviewer software. From 75 identified articles, 22 met the inclusion criteria and were analyzed in depth. The findings indicate that SDN provides high flexibility, scalability, and efficiency in network management through the separation of the control plane and data plane. SDN enables adaptive traffic engineering, automated configuration, enhanced security, and integration with Machine Learning for network optimization. Nevertheless, challenges such as the risk of a single point of failure, device interoperability, and the need for skilled human resources remain as implementation barriers. Overall, SDN has the potential to become a key technology in the transformation of modern telecommunication infrastructure to meet service demands in the digital era.
Analisis Struktur Pasar dan Strategi Penetapan Harga Produk Baru dalam Persaingan Monopilistik Irawan, Fajar Rayhan Putra; Arifianto, Teguh; Zefriyenni, Zefriyenni
Indo-MathEdu Intellectuals Journal Vol. 6 No. 6 (2025): Indo-MathEdu Intellectuals Journal (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i6.4269

Abstract

This study aims to analyze market structure and pricing strategies for new products in the context of monopolistic competition through a literature review approach. The method applied is a systematic literature review of scholarly articles, textbooks, and empirical research published between 2020 and 2025. The findings reveal that in monopolistic markets, firms possess limited pricing power due to product differentiation and demand elasticity. Classical strategies such as skimming and penetration pricing remain relevant but have evolved in the digital era into data-driven practices such as dynamic pricing and machine learning–based optimization. While these strategies enhance revenue potential, they also introduce risks such as algorithmic collusion and fairness issues that demand regulatory oversight. The implications highlight the necessity for firms to adopt adaptive, data-driven, and ethically responsible pricing strategies, while policymakers should ensure proper regulation to maintain healthy market competition. Â