SISTEM REKOMENDASI PAKET CHANNEL TV MENGGUNAKAN ITEM-BASED CLUSTERING HYBRID METHOD

MARINAH, MARINAH and Yusliani, Novi and Marieska, Mastura Diana (2022) SISTEM REKOMENDASI PAKET CHANNEL TV MENGGUNAKAN ITEM-BASED CLUSTERING HYBRID METHOD. Undergraduate thesis, Sriwijaya University.

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Abstract

IPTV minipacks are small packages of various additional channels owned by IndiHome. This package can be selected and purchased according to customer needs. currently used traditional methods of analyzing data, can not handle a large amount of data. One method that can be used is the Item-based clustering hybrid method (ICHM). ICHM builds a group of rating matrices based on the attributes of the rating items and divides them into several clusters. This study uses the Mean Absolute Error (MAE) as a measure of error. Testing will be carried out by running 10 scenarios and in each scenario will be added as many as 100 data with varying rating values. The best test results are in the 10th scenario which shows an average MAE value of 60.206 with a total of 1000 data. The addition of the amount of data also shows that the resulting MAE value is getting smaller.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Rekomendasi, Item-Based Clustering Hybrid Method (ICHM), Mean Absolute Error (MAE), Minipack IPTV
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Marinah Marinah
Date Deposited:	13 Jan 2023 02:35
Last Modified:	13 Jan 2023 02:35
URI:	http://repository.unsri.ac.id/id/eprint/85931

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