Image of Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method

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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

JKI8-002JKI V8N1 April 2022Perpustakaan FT UPI YAITersedia

Informasi Detil

Judul Seri
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
No. Panggil
JKI V8N1 April 2022
Penerbit Universitas Muhammadiyah Surakarta : Surakarta.,
Deskripsi Fisik
hlm : 8-17
Bahasa
English
ISBN/ISSN
2621-038X
Klasifikasi
JKI
Tipe Isi
-
Tipe Media
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Tipe Pembawa
-
Edisi
Volume 8 Nomor 1 April 2022
Subyek
Info Detil Spesifik
-
Pernyataan Tanggungjawab

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