NURHAYATI, LENNI and Indrawati, Indrawati and Yuliza, Evi (2022) MODEL SKEMA PEMBIAYAAN LAYANAN INFORMASI UNTUK MIXED BUNDLING CUSTOMER SELF-SELECTION. Undergraduate thesis, Sriwijaya University.
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Abstract
This study aims to establish a model with an financing scheme information service financing scheme for customer self-selection for Internet Service Provider (ISP) based on the level of heterogeneous user satisfaction. This scheme model was developed through the strategic stage of mixed bundling sales by considering service quality based on the Cobb-Douglas utility function to obtain optimal results. This research was also completed by modeling a problem into the form of Mixed Integer Nonlinear Programming (MINLP). In traffic data is obtained from one of the local servers on Digilib Traffic which is divided by busy hours and busy hours not busy. In the bundling model completed by a software application LINGO 13.0. Maximum average consumption rate during peak hours (S ̅_1) is 74.91048694/kbps and the average of the second maximum consumption rate during peak hours (S ̅_2) is 0.443359375/kbps. Maximum average consumption rate during off-peak (T ̅_1) is 387.2089729/kbps and the average of the second maximum consumption rate during off-peak (T ̅_2) is 21.83297021/kbps. Based on heterogeneous users of the upper and lower classes, the optimal solution was obtained, namely the two-part tariff financing scheme with an objective value of 7229.8. Keywords : Internet Service Provider, mixed bundling, customer self-selection, information services, utility functions cobb-douglas.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Internet Service Provider, mixed bundling, customer self-selection, layanan informasi, fungsi utilitas cobb-douglas. |
Subjects: | Q Science > QA Mathematics > QA299.6-433 Analysis > Q342.C658 Computational intelligence. Internet of things. |
Divisions: | 08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1) |
Depositing User: | LENNI NURHAYATI |
Date Deposited: | 25 Apr 2022 06:40 |
Last Modified: | 25 Apr 2022 06:40 |
URI: | http://repository.unsri.ac.id/id/eprint/68843 |
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