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KLASIFIKASI KOMENTAR SPAM PADA INSTAGRAM MENGGUNAKAN ALGORITMA MUTUAL INFORMATION DAN MODIFIED K-NEAREST NEIGHBOR

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Spam on Instagram is defined as comments that are unrelated to the photo or video that is being commented on. Spam comments disrupt the flow of the conversation, making it difficult for users to find information quickly and precisely. Some ways that can be done to solve the problem of spam comments are to classify comments based on the category of spam comments or not spam. One method that can be used for classification is Modified K-Nearest Neighbor (MKNN). However, the MKNN method has a weakness in processing high-dimensional data, so a feature selection method is required to reduce the document's number of features. The method used is Mutual Information (MI). The purpose of this study was to determine the performance of the MKNN classification with MI and MKNN without using MI. The results of the test will be compared and evaluated to see the effect of the MI feature selection method in improving MKNN performance. The test is carried out with the input k values of 3, 5, 7, and 9 and the threshold values of 0.018, 0.01, and 0.008. The test results that have been obtained show that the MKNN method with MI has better performance than the MKNN without MI. MI feature selection is able to reduce the number of features in the data set thereby improving classification performance. The difference in the increase in highest accuracy occurs when the value of k = 3 with a threshold value of 0.018, which is 22%.

Availability
Inventory Code Barcode Call Number Location Status
2107002193T53970T539702021Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T539702021
Publisher
Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
xvi, 58 hlm. : ilus. ; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.307
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Aplikasi perangkat lunak
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
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No other version available

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