Penerapan Algoritma Regresi Linear Berganda dalam Memprediksi Jumlah Perceraian di Pengadilan
DOI:
https://doi.org/10.37150/zt8evk84Keywords:
prediksi, algoritma, regresi linear, pengadilanAbstract
Setiap tahun, jumlah perceraian yang diproses di Pengadilan Agama Cibadak terus mengalami peningkatan, dipengaruhi oleh berbagai faktor. Perceraian yang diajukan oleh laki-laki dikenal sebagai cerai talak, sementara jika diajukan oleh perempuan disebut cerai gugat. Penelitian ini bertujuan untuk memberikan estimasi jumlah perceraian di Pengadilan Agama Cibadak dengan menggunakan metode regresi linear berganda. Data yang digunakan diperoleh dari Pengadilan Agama Cibadak dalam periode tertentu. Proses analisis mencakup pemilihan faktor-faktor independen yang memengaruhi angka perceraian serta penerapan beberapa model regresi linear untuk membangun proyeksi. Data penelitian dikumpulkan melalui wawancara dan observasi langsung di bagian kepaniteraan Pengadilan Agama Cibadak
Downloads
Published
Issue
Section
License
Copyright (c) 2025 SANTIKA is a scientific journal of science and technology

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish articles in SANTIKA Journal is a scientific journal agree to the following terms:
- Authors retain copyright of the article and grant the journal right of first publication with the work simultaneously licensed under a CC-BY-SA or The Creative Commons Attribution–ShareAlike License.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).


