Skripsi

MODEL IMPROVED C-RAN SELFISH USER BERBASIS DEMAND RESPONSE DAN INSENTIF HETEROGEN DENGAN FUNGSI UTILITAS INDIRECT DAN BUNDLING

---

This research discusses the development of an improved C-RAN model based on Demand Response (DR) and heterogeneous incentives by integrating an indirect utility function and a bundling scheme to produce a more adaptive pricing mechanism. Additional parameters such as bandwidth, inbound – outbound traffic, and multiple service classes are included to strengthen the model formulation. The model is constructed as a Mixed Integer Nonlinear Programming (MINLP) problem and tested using secondary data from a local server in Palembang, which were classified into peak and off-peak hours. The model was solved using LINGO 13.0 to obtain optimal pricing outcomes, followed by sensitivity analysis to evaluate the impact of changes in objective function coefficients and constraints on optimality. The results indicate that the improved model enhances pricing efficiency, provides incentives aligned with selfish user behavior, and generates higher revenue for the Internet Service Provider (ISP).

---

Availability

Detail Information

Series Title

-

Call Number

T1944982026

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2026

Collation

xvi, 131 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

621.382 07

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Prodi Ilmu Matematika
Jaringan telekomunikasi

Specific Detail Info

-

Statement of Responsibility

TUTI

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment