MODEL IMPROVED PEMBIAYAAN LAYANAN INFORMASI BASED INCENTIVE DEMAND RESPONSE DAN BUNDLING DENGAN MEMPERTIMBANGKAN FUNGSI UTILITAS EKSPONENSIAL

WILDAN, WILDAN and Puspita, Fitri Maya and Yuliza, Evi (2025) MODEL IMPROVED PEMBIAYAAN LAYANAN INFORMASI BASED INCENTIVE DEMAND RESPONSE DAN BUNDLING DENGAN MEMPERTIMBANGKAN FUNGSI UTILITAS EKSPONENSIAL. Undergraduate thesis, Sriwijaya University.

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Abstract

The incentive-based internet financing model aims to optimize internet service costs through the implementation of specific payment schemes. This study models incentive financing by Internet Service Providers (ISPs) using an exponential utility function within the improved internet financing approach, incorporating demand response, heterogeneous incentives, and bundling concepts. The model is classified as a Mixed Integer Non-Linear Programming (MINLP) problem and is solved using LINGO 13.0 software. This research integrates the reverse charging model with Demand Response and heterogeneous incentives, considering user behavior in response to incentives based on the exponential utility function. The data used consists of internet traffic during peak and off-peak hours over the period from March 16, 2024, to April 15, 2024, which is analyzed to understand usage patterns and user responses to the applied incentive schemes. Three payment schemes are implemented in this study, namely flat fee, usage based, and two-part tariff, each of which is analyzed to measure its effectiveness in influencing user behavior and optimizing ISP revenue. The results show that the proposed financing model can improve service efficiency and increase ISP revenue while maintaining user satisfaction through adjustments in incentive schemes and service bundling. The optimal financing obtained by the ISP is IDR 3,499.324 per kbps during peak hours and IDR 3,089.324 per kbps during off-peak hours. This model is expected to serve as a reference for ISPs in designing more effective and efficient internet service financing strategies that adapt to changes in user consumption patterns.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Mixed Integer Non-Linear Programming, Eksponensial, Improved Reverse Charging, Demand Response, Quality of Service
Subjects:	Q Science > QA Mathematics > QA1-43 General
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Wildan Wildan
Date Deposited:	26 May 2025 05:56
Last Modified:	26 May 2025 05:56
URI:	http://repository.unsri.ac.id/id/eprint/174032

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