PERBANDINGAN COSINE SIMILARITY DAN K-NEAREST NEIGHBOUR PADA CASE BASED REASONING DALAM MENDETEKSI MASALAH SCALE PADA PRODUKSI MINYAK BUMI

SARI, SEFTY ARITA and Primartha, Rifkie and Yunita, Yunita (2018) PERBANDINGAN COSINE SIMILARITY DAN K-NEAREST NEIGHBOUR PADA CASE BASED REASONING DALAM MENDETEKSI MASALAH SCALE PADA PRODUKSI MINYAK BUMI. Undergraduate thesis, Sriwijaya University.

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Abstract

Case Based Reasoning is an expert system method that can be used for detection by measuring the level of similarity between new cases and existing cases. In this study, researchers are interested in conducting a comparative analysis of the results of scale detection on petroleum production using Cosine Similarity and K-Nearest Neighbor. On the results of the detection of the expert system using Cosine Similarity, the accuracy value is 87%. Different results were obtained from the expert system using K-Nearest Neighbor with different k values, 100% accuracy value at k = 3, 87% at k = 5 and k = 7, 80% at k = 11, k = 15 and k = 17, and 67% at k = 23.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Cosine Similarity, Case Based Reasoning, K-Nearest Neighbour, Scale, Petroleum
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	25 Sep 2019 02:05
Last Modified:	25 Sep 2019 02:05
URI:	http://repository.unsri.ac.id/id/eprint/8754

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