Cahya, Eka Indra (2017) Penerapan Metode Fuzzy C-Means Pada Pengelompokkan Agen Pulsa Di Server Indra Cell. Sarjana thesis, Universitas Brawijaya.
Abstract
Pada skripsi ini dibahas tentang penerapan metode Fuzzy C-Means pada pengelompokkan agen pulsa di server Indra Cell, dengan 48 agen pulsa dan 6 atribut berdasarkan provider yang digunakan. Agen pulsa dibutuhkan untuk membantu menyalurkan pulsa dari provider kepada konsumen. Banyak agen pulsa memilih server pulsa all operator sebagai penghubung kepada provider. Server pulsa all operator sering mengalami kendala dalam menentukan prioritas agen dan mengelola agen. Oleh karena itu server pulsa perlu menentukan kelompok-kelompok agen. Agen dikelompokkan menjadi 3 cluster besar. Data diperoleh berdasarkan rekapitulasi transaksi mulai tanggal 1 sampai dengan 31 Mei 2017. Peng-cluster-an disimulasikan menggunakan software MATLAB. Dari hasil simulasi diperoleh cluster I beranggotakan 16 agen dengan transaksi sedang, cluster II beranggotakan 29 agen dengan transaksi kecil, dan cluster III beranggotakan 3 agen dengan transaksi besar.
English Abstract
In this final project the application of Fuzzy C-Means method for the grouping of prepaid credit agents in Indra Cell server is discussed, with 48 prepaid credit agents and 6 attributes based on the provider used. A prepaid credit agent is needed to distribute from providers to costumers. There are many prepaid credit agents prefer to the all operator prepaid credit server to connect to the provider. The all operators of prepaid credit server often have problems in determining agent priorities and managing agents. Therefore, the prepaid credit server needs to determine agent groups. Agents are clustered into 3 large clusters. Data are obtained by transactions recapitulation from 1 to May 31, 2017. Clustering is simulated using MATLAB software. Based on the simulation, it is obtained cluster I consists of 16 agents with medium transactions, cluster II consists of 29 agents with small transactions, and cluster III consists of 3 agents with large transactions.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FMIPA/2017/446/051709786 |
| Uncontrolled Keywords: | Fuzzy C-Means, Clustering, Cluster, Provider, Agen Pulsa, Server Pulsa All Operator, transaksi. |
| Subjects: | 000 Computer science, information and general works > 006 Special computer methods > 006.3 Artificial intelligence > 006.31 Machine learning > 006.312 Data mining |
| Divisions: | Fakultas Kedokteran > Ilmu Gizi |
| Depositing User: | Nur Cholis |
| Date Deposited: | 17 Oct 2017 03:57 |
| Last Modified: | 22 Nov 2021 02:48 |
| URI: | http://repository.ub.ac.id/id/eprint/3800 |
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