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Image of  KLASIFIKASI CITRA PORNOGRAFI BERDASARKAN WARNA KULIT MANUSIA DALAM RUANG WARNA HSV DENGAN ALGORITMA K-NEAREST NEIGHBOR.

Skripsi

 KLASIFIKASI CITRA PORNOGRAFI BERDASARKAN WARNA KULIT MANUSIA DALAM RUANG WARNA HSV DENGAN ALGORITMA K-NEAREST NEIGHBOR.

Akbar, Muhammad Rizki - Personal Name;

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Penilaian anda saat ini :  

People can accidentally stumble on pornographic content on internet, not to mention one can purposely search for it. Large number of criminal cases related to sex crimes, most of the perpetrators claim to be influenced by pornographic content. Digital images that are accessed from the internet cannot be separated from one of the media that could contain pornography, for this reason a system is needed that can determine which images are pornographic or not. In this study, the method uses is dominance of human skin color presented on an image in Hue, Saturation, Value (HSV) color space. After getting the percentage number of skin area in an image, then the K-Nearest Neighbor classifiers is used on unlabeled data to determine the nearest distance from sorted labeled data to classify the image is porn or not. The test results of the software obtained using the value of k = 3 have an accuracy of 80% and a precision of 84%


Availability
Inventory Code Barcode Call Number Location Status
2307003457T103423T1034232023Central Library (Referens)Available
Detail Information
Series Title
-
Call Number
T1034232023
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023
Collation
xv, 61 hlm.; Ilus,; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.740 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Teknik Informatika
Pemerosesan Data elektrinik
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

File Attachment
  •  KLASIFIKASI CITRA PORNOGRAFI BERDASARKAN WARNA KULIT MANUSIA DALAM RUANG WARNA HSV DENGAN ALGORITMA K-NEAREST NEIGHBOR.
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