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

Sofika Enggari, Sarjon Defit

DOI: https://doi.org/10.23917/khif.v8i1.14036

Abstract

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.

Keywords

apriori algorithm; K-Means method; hybrid system; internet user behavior

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References

A. Wiratri, “Rethinking the meaning of family in Indonesian society (Revisiting the concept of family in Indonesian society),” J. Kependud. Indones., vol. 13, no. 1, pp. 15–26, 2018, [Online]. Available: http://ejurnal.kependudukan.lipi.go.id/index.php/jki/article/view/305/pdf.

A. Khumas, J. E. Prawitasari, and S. Retnowati, “Model Explaining the Intention of Divorce for Muslim Women in South Sulawesi,” J. Psikol., vol. 42, no. 3, p. 189, 2015, doi: 10.22146/jpsi.9908.

N. Najwah, “Criteria for Choosing a Spouse (Hadith Hermeneutics Study),” J. Stud. Ilmu-ilmu Al-Qur’an dan Hadis, vol. 17, no. 1, p. 95, 2018, doi: 10.14421/qh.2016.1701-05.

N. S. Mudawamah, “Internet User Behavior: A Case Study of the Student of the Department of Library and Information Science, Uin Maulana Malik Ibrahim,” J. Kaji. Perpust. dan Inf., vol. Vol. 4 No., pp. 107–113, 2020.

A. Susanto, “Factors Affecting the Behaviour of Internet Use of Villager Pasar Vi, Kualanamu, Deli Serdang, North Sumatra,” J. Penelit. Pos Inform., vol. 5, no. 1, pp. 65–86, 2015, doi: 10.17933/jppi.2015.050100.

P. M. Yusup, N. Komariah, N. Prahatmaja, and S. CMS, “Utilization of the Internet for Livelihoods among Rural Youth,” Baca J. Dokumentasi Dan Inf., vol. 40, no. 2, p. 217, 2019, doi: 10.14203/j.baca.v40i2.491.

K. Henrique de Jesus Prado, L. Santos Souza, I. Dias de Jesus Junior, and M. Colaço Júnior, “Applied Intelligent Data Analysis to Government Data Related to Criminal Incident: A Systematic Review,” J. Appl. Secur. Res., vol. 15, no. 3, pp. 297–331, 2020, doi: 10.1080/19361610.2020.1716511.

A. -, F. Marisa, and D. Purnomo, “Application of the Apriori Algorithm to Sales Data in BM Warehouse Stores,” JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 1, no. 1, pp. 1–5, 2016, doi: 10.31328/jointecs.v1i1.408.

V. N. Budiyasari, P. Studi, T. Informatika, F. Teknik, U. Nusantara, and P. Kediri, “Implementation of Data Mining in Eyeglass Sales Using the Apriori Algorithm,” Indones. J. Comput. Inf. Technol., vol. 2, no. 2, pp. 31–39, 2017.

A. Bastian, H. Sujadi, and G. Febrianto, “Application of the K-Means Clustering Analysis Algorithm in Human Infectious Diseases (Case Study of Majalengka Regency),” no. 1, pp. 26–32.

J. Jaroji, D. Danuri, and F. P. Putra, “K-Means To Determine Prospective Bidik Misi Scholarship Recipients in Polbeng,” INOVTEK Polbeng - Seri Inform., vol. 1, no. 1, p. 87, 2016, doi: 10.35314/isi.v1i1.129.

G. Gustientiedina, M. H. Adiya, and Y. Desnelita, “Application of the K-Means Algorithm for Drug Data Clustering,” J. Nas. Teknol. dan Sist. Inf., vol. 5, no. 1, pp. 17–24, 2019, doi: 10.25077/teknosi.v5i1.2019.17-24.

I. P. Astuti, “AApriori algorithm to find the relationship between school majors and student graduation rates,” J. Tek. Inform., vol. 12, no. 1, pp. 69–78, 2019, doi: 10.15408/jti.v12i1.10525.

A. Sanjani; Fahmi, Hasanul;Sindar, “Iimplementation of Data Mining Sales of Clothing Products Using the Apriori Algorithm,” Indones. J. Appl. Informayics, vol. 4, no. 4, 2019.

D. Listriani, A. H. Setyaningrum, and F. Eka, “Application of the Association Method Using the Apriori Algorithm in the Consumer Shopping Pattern Analysis Application (Case Study of the Gramedia Bintaro Bookstore),” J. Tek. Inform., vol. 9, no. 2, pp. 120–127, 2018, doi: 10.15408/jti.v9i2.5602.

F. Nur, M. Zarlis, and B. B. Nasution, “Application of the K-Means Algorithm to New Vocational High School Students for Department Clustering,” InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 1, no. 2, pp. 100–105, 2017, doi: 10.30743/infotekjar.v1i2.70.

W. Dhuhita, “Clustering Using the K-Mean Method to Determine the Nutritional Status of Toddlers,” J. Inform. Darmajaya, vol. 15, no. 2, pp. 160–174, 2015.

Y. Ma, X. Zhang, X. Di, T. Ren, H. Yang, and B. Cai, “Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective,” Discret. Dyn. Nat. Soc., vol. 2020, 2020, doi: 10.1155/2020/2071025.

O. Rouane, H. Belhadef, and M. Bouakkaz, “Combine clustering and frequent itemsets mining to enhance biomedical text summarization,” Expert Syst. Appl., vol. 135, pp. 362–373, 2019, doi: 10.1016/j.eswa.2019.06.002.

D. C. G. Putri, J. S. Leu, and P. Seda, “Design of an unsupervised machine learning-based movie recommender system,” Symmetry (Basel)., vol. 12, no. 2, pp. 1–27, 2020, doi: 10.3390/sym12020185.

Hendri, H., Enggari, S., Mardison, Putra, M. R., & Rani, L. N. (2019). Automatic System to Fish Feeder and Water Turbidity Detector Using Arduino Mega. Journal of Physics: Conference Series, 1339(1).

Hendri, H., Awal, H., & Mardison. (2021). Solar-Cell Implementation for Supporting Tourist Facilities and Tourism Promotion Media. Journal of Physics: Conference Series, 1783(1), 012058.

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