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Jurnal Ilmiah Intech Information Technology Journal of UMUS
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Forecasting Jumlah Perkara Perceraian Menggunakan Single Moving Average di Pengadilan Agama Sumber

Authors: Otong Saeful Bachri;

Forecasting Jumlah Perkara Perceraian Menggunakan Single Moving Average di Pengadilan Agama Sumber

Abstract

Angka perceraian di Kabupaten Cirebon, setiap tahunnya mengalami kenaikan, hal ini menunjukkan bahwa banyak sekali pasangan suami/istri yang memutuskan untuk berpisah karena beberapa faktor, rata-rata perceraian yang terjadi disebabkan karena, poligami yang tidak sehat, krisis anak, cemburu berlebihan, menikah paksa, ekonomi, tidak ada tanggungjawab, menikah dibawah umur, menyakiti jeasmani, dihukum berlebihan, cacat secara bilogis, politis, ganggungan pihak ketiga, serta tidak adanya keharmonisan. Penelitian ini bertujuan untuk membantu memprediksi jumlah perceraian yang terjadi dalam jangka waktu tertentu di lingkungan pengadilan agama sumber kabupaten cirebon. Penelitian ini menggunakan metode single moving average karena metode ini cocok digunakan pada data yang konstan terhadap varinsi, tetapi tidak dapat bekerja dengan data yang mengandung unsur trend atau musiman. Berdasarkan hasil perhitungan secara single moving average, maka angka perceraian dalam waktu 4 bulan kedepan akan mengalami peningkatan bila dibandingkan jangka waktu 3 bulan kedepan

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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