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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003082	T174032	T1740322025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1740322025

Publisher

: Prodi Ilmu Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2025

Collation

xv, 42 hlm.: ilus., tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Matematika

Specific Detail Info

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Statement of Responsibility

EM

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