ASTUTI, SISI and Puspita, Fitri Maya and Dewi, Novi Rustiana (2022) MODEL IMPROVED PEMBIAYAAN INSENTIF INTERNET BERBASIS DEMAND RESPONSE DAN INSENTIF HETEROGEN MENGGUNAKAN FUNGSI UTILITAS COBB-DOUGLAS. Undergraduate thesis, Sriwijaya University.
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Abstract
This research attempts to establish a new model the internet incentive pricing scheme by considering Cobb-Douglas utility function to measure heterogeneous customer satisfaction. The model used was developed with the improved models that involve a combination of reverse charging, with a demand response model, heterogeneous incentives, and consider the quality of services (QoS) as measured by the Cobb-Douglas utility function. This study was completed as Non-Linier Mixed Integer Programming (MINLP) problem. Pricing incentive schemes were applied to local data servers, including peak hour and off peak hour traffic. Optimal results on the internet incentive pricing model by using Cobb-Douglas utility function are compared with optimal result in reverse charging models with combination bundling to get the incentive values earned by the Internet Service Provider (ISP). Internet incentive pricing model is solved using LINGO 13.0. Based on the analysis performed, the result of this study indicates that internet incentive pricing model with Cobb-Douglas utility function produce the optimal solution obtained by using data during peak hours dan during off-peak hours traffic is to use a flat fee financing scheme in the case of (〖SQ〗_up increase x increase). The optimal solution is obtained based on the use of traffic data during peak hours of IDR 1,572.68/kbps, and traffic data during off-peak hours of IDR 1,212.68/kbps.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Insentif, Reverse Charging, Demand Response, Insentif Heterogen, Cobb-Douglas, Internet Service Provider |
Subjects: | Q Science > Q Science (General) > Q1-295 General |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | Sisi Sisi Astuti sisi |
Date Deposited: | 21 Sep 2022 03:57 |
Last Modified: | 21 Sep 2022 03:57 |
URI: | http://repository.unsri.ac.id/id/eprint/78630 |
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