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Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method
An ideal couple should sustain the family's ark till the end of their life without divorce. This study aims at seeking the association between divorce and internet behavior of searching negative keywords. The study observes four keywords, which are porn, sex, gay, and lesbian. We collected keyword usage data from google trend reports and obtained divorce court figures from the Religion Court of Padang. We used the apriori algorithm to reveal the association between divorce and internet behavior observing individual keyword searches and in groups. We used the K-Means algorithm in classifying negative word searches and divorce trial numbers from a group of existing data. We also investigate the combination of the apriori algorithm and the K-Means method to detect divorce facts and the behavior of internet users. The combined method has been successful in revealing the positive association between divorce facts and the behavior of internet users.
Ketersediaan
JKI8-002 | JKI V8N1 April 2022 | Perpustakaan FT UPI YAI | Tersedia |
Informasi Detil
Judul Seri |
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
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No. Panggil |
JKI V8N1 April 2022
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Penerbit | Universitas Muhammadiyah Surakarta : Surakarta., 2022 |
Deskripsi Fisik |
hlm : 8-17
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Bahasa |
English
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ISBN/ISSN |
2621-038X
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Klasifikasi |
JKI
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Tipe Isi |
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Tipe Media |
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Tipe Pembawa |
-
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Edisi |
Volume 8 Nomor 1 April 2022
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Subyek | |
Info Detil Spesifik |
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Pernyataan Tanggungjawab |
-
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Versi lain/terkait
Tidak tersedia versi lain