Sistem Deteksi Dini Resiko Perceraian Calon Pengantin Berbasis Data Mining Sebagai Pedukung Bimbingan Pranikah
Keywords:
C4.5 Algorithm, Data Mining, Classification, Divorce Risk, Web-Based SystemAbstract
Divorce is a social issue that can be influenced by various factors, making a data-driven approach necessary to identify potential risks at an early stage. This study aims to apply the C4.5 algorithm to develop a classification model for divorce risk among prospective couples and to implement the model into a web-based early detection system. The dataset consists of the attributes of couples’ age, education, employment stability, income classification, understanding of Fikih Munakahat, and conflict management. The modeling process involves the calculation of Entropy, Information Gain, Split Information, and Gain Ratio to construct a decision tree and generate classification rules. The results show that Fikih Munakahat has the highest Gain Ratio of 0.5612 and is selected as the root node, followed by Conflict Management as an important attribute in the decision structure. Model evaluation using a Classification Report and Confusion Matrix on 120 testing data instances achieved an accuracy of 96.67%, with a macro average of 0.96 and a weighted average of 0.97. The resulting model was then integrated into a web-based system to classify divorce risk into three categories: Low Risk, Moderate Risk, and High Risk. Black Box Testing of nine main system features showed that all features were successfully executed. The results indicate that the C4.5 algorithm can be applied as a classification model and integrated into a web-based system to support the early identification of divorce risk and premarital guidance.
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N. Dwi Anggraeni, N. Fadilah Dwi Winarni, M. Tosen, dan F. Putri Meilinda, “Analisis Faktor-Faktor Perceraian Tahun 2024 di Pengadilan Agama Probolinggo (Perspektif Pengadilan Agama Probolinggo),” Al Fuadiy : Hukum Keluarga Islam, vol. 7, no. 01, 2025, doi: 10.55606/af.v6i2.
Muhammad Yunus, Abdul Aziz, Nurul hasanah, Jama’atun Khasanah, dan A’im, “Pengaruh Pernikahan Dini Terhadap Tingkat Perceraian di Kecamatan Abung Barat,” Koloni : Jurnal Multidisiplin Ilmu, vol. 2, no. 1, hlm. 35–42, 2023.
Nida Rafiqa Izzati, Robi’atin A’dawiyah, dan Abdul Qodir Zaelani, “Perceraian dalam Perspektif Normatif - Yuridis dan Psikologis,” Journal of Islamic and Law Studies, vol. 8, no. 1, hlm. 62–81, 2024.
Abdul Rahman Ramadhan, “Strategi Konseling Pra-Nikah Islami,” Al-Zaujiyyah: Jurnal Hukum Keluarga Islam, vol. 13, no. 1, hlm. 68–82, Jun 2025, doi: 10.6007/ijarbss/v13-i11/19339.
N. Aini, N. Hotimah, Moh. Jalaluddin, E. Rosita, dan A. Muzayin, “Layanan Bimbingan Pranikah untuk Meningkatkan Kesiapan Calon Pengantin,” Syiar: Jurnal Komunikasi dan Penyiaran Islam, vol. 4, no. 1, hlm. 1–14, Jun 2024, doi: 10.54150/syiar.v4i1.328.
Hadijah, Afrinaldi, Charles, dan Budi Santosa, “Pelaksanaan Bimbingan Pranikah bagi Pengantin oleh Penyuluh Fungsional di KUA Kecamatan Aur Birugo Tigo Baleh Kota Bukittinggi,” Jurnal Pendidikan Tambusai, vol. 7, no. 1, hlm. 3294–3300, 2023.
Saylendra Arga Wardani, Nizar Bahri Al Varuq, dan Heru Teguh Santoso, “Implementasi Data Minning Clustering Dalam Mengelompokan Kasus Perceraian Yang Terjadi Di Provinsi Jawa Timur Menggunakan Algoritma K-Means,” Jami: Jurnal Ahli Muda Indonesia, vol. 6, no. 1, hlm. 68–83, Jun 2025, doi: 10.46510/jami.v6i1.324.
E. Purwaningsih dan E. Nurelasari, “Implementasi Metode K-Means Clustering Dengan Davies Bouldin Index Pada Analisis Faktor Penyebab Perceraian,” Information Management For Educators and Professionals, vol. 7, no. 2, hlm. 134–143, 2023, [Daring]. Tersedia pada: https://databoks.katadata.co.id/
Agnes Irene Silitonga, Darwita Arini Nasution, Histi Trifesi Naibaho, Selvia Apriani, dan Dewi Pika Lumban Bantu, “Klasifikasi Faktor Penyebab Perceraian Menggunakan Algoritma C4.5,” vol. 11, no. 1, hlm. 8–14, 2025.
E. Tachi dan N. & Andri, “Penerapan Data Mining Untuk Analisis Daftar Pembelian Konsumen Dengan Menggunakan Algoritma Apriori Pada Transaksi Penjualan Toko Bangunan MDN,” 2021.
Karmila Hannum Dly dan Yusli Yenni, “Penerapan Data Mining Metode Algoritma C4.5 dalam Memprediksi Tingkat Perceraian di Kecamatan Kuranji Kota Padang Berbasis Website,” Jurnal Sains Informatika Terapan, vol. 4, no. 3, hlm. 493–501, Okt 2025.
E. Palupi, “Divorce Factor Classification Uses The C4.5 Algorithm Based On Particle Swarm Optimization,” Jurnal Riset Informatika, vol. 6, no. 3, hlm. 185–190, Jun 2024, doi: 10.34288/jri.v6i3.307.
Aulia Sugarda, Saifullah, Jalaluddin, Agus Perdana Windarto, dan Wendi Robiansyah, “Penerapan Metode Data Mining C4.5 dalam Penentuan Kelayakan Rehabilitas Rumah Warga,” Journal of Computing and Informatics Research, vol. 1, no. 3, hlm. 56–64, Jul 2022, doi: 10.47065/comforch.v1i3.321.
C. Rafelin, P. Mk, S. J. A. Sumarauw, dan V. E. Regar, “Data Mining Model Klasifikasi untuk Ketepatan Waktu Kelulusan Mahasiswa,” Dharmas Education Journal, vol. 5, no. 1, hlm. 555, 2024, [Daring]. Tersedia pada: http://ejournal.undhari.ac.id/index.php/de_journal
W. J. Andari dan E. Buulolo, “Implementasi Algoritma C4.5 Mengetahui Penyebab Perceraian Dalam Pernikahan (Studi Kasus: Pengadilan Agama Medan Kelas I-A),” Jurikom (Jurnal Riset Komputer), vol. 7, no. 3, hlm. 365, Jun 2020, doi: 10.30865/jurikom.v7i3.2133.
D. Yusmandari Putera dan S. Lestari Rahayu, “Penerapan Data Mining Dalam Memprediksi Tingkat Perceraian Pasangan Muda Di Kota Medan Menggunakan Metode Naïve Bayes Application of Data Mining To Predict Level of Divorce Young Couple In Medan Using Methode of Naive Bayes,” 2023.
Malik Hadid dan Eliyani, “Penerapan Klasifikasi Kelayakan Pernikahan Pada Kua Pelmerah dengan Menggunakan Algoritma Naive Bayes,” Jurnal Rekayasa Komputasi Terapan), vol. 1, no. 2, hlm. 2776–5873, 2021.
A. Agung, A. Daniswara, I. Kadek, dan D. Nuryana, “Data Preprocessing Pola Pada Penilaian Mahasiswa Program Profesi Guru,” Journal of Informatics and Computer Science, vol. 05, 2023.
D. Sitanggang, N. A. Br S. Muham, S. H. Rangkuti, S. P. Zalukhu, dan E. Indra, “Penerapan Data Mining Untuk Rekomendasi Paket Pernikahan Menggunakan Algoritma Apriori,” Jurnal Teknik Informasi dan Komputer (Tekinkom), vol. 5, no. 1, hlm. 130, Jun 2022, doi: 10.37600/tekinkom.v5i1.509.
A. Steffany, K. Aldzikri, M. Amar, R. Tricahya, dan M. I. Arfiandono, “Penerapan Algoritma C4.5 Untuk Menganalisis Kepuasan Pelanggan E-Commerce Shopee,” Jurnal Nasional Komputasi dan Teknologi Informasi, vol. 6, no. 6, 2023, [Daring]. Tersedia pada: https://docs.googe.com/spreadsheets/d/1u6xXcjlrvucpau3koZT9OA5Ma3efpF4/edit?usp=sharing&ouid=113
F. Maisa Hana dan W. Cholid Wahyudin, “Optimasi Parameter Algoritma Decision Tree C4.5 Pada Klasifikasi Blogger Profesional,” 2023.
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