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 keyw...
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| Format: | UMS Journal (OJS) |
| Language: | eng |
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Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2022
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| Online Access: | https://journals.ums.ac.id/index.php/khif/article/view/14036 |
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| author | Enggari, Sofika Defit, Sarjon |
| author_facet | Enggari, Sofika Defit, Sarjon |
| author_sort | Enggari, Sofika |
| collection | OJS |
| description | 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. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-14036 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2022 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-14036 Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method Enggari, Sofika Defit, Sarjon apriori algorithm; K-Means method; hybrid system; internet user behavior 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. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2022-03-04 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/14036 10.23917/khif.v8i1.14036 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 8 No. 1 April 2022; 8-17 Khazanah Informatika; Vol. 8 No. 1 April 2022; 8-17 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/14036/7389 Copyright (c) 2022 Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | apriori algorithm; K-Means method; hybrid system; internet user behavior Enggari, Sofika Defit, Sarjon Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method |
| title | Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method |
| title_full | Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method |
| title_fullStr | Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method |
| title_full_unstemmed | Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method |
| title_short | Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method |
| title_sort | divorce fact detection based on internet user behavior using hybrid systems with combination of apriori algorithm and k means method |
| topic | apriori algorithm; K-Means method; hybrid system; internet user behavior |
| topic_facet | apriori algorithm; K-Means method; hybrid system; internet user behavior |
| url | https://journals.ums.ac.id/index.php/khif/article/view/14036 |
| work_keys_str_mv | AT enggarisofika divorcefactdetectionbasedoninternetuserbehaviorusinghybridsystemswithcombinationofapriorialgorithmandkmeansmethod AT defitsarjon divorcefactdetectionbasedoninternetuserbehaviorusinghybridsystemswithcombinationofapriorialgorithmandkmeansmethod |