Skripsi
PENERAPAN MODEL ARIMA UNTUK PREDIKSI TINGKAT PERCERAIAN BULANAN PADA PENGADILAN AGAMA DI SUMATERA SELATAN
Predicting the divorce rate is important to be done because the data has a trend in numbers that change every month. So that court officials or social scientists in developing effective strategies to overcome marriage problems, allocate resources, or support families who need counseling, can be prepared in advance, especially at the Religious Courts of South Sumatra in order to reduce the divorce rate because the purpose of marriage is not to divorce. The aim of this research is to describe a suitable model for predicting divorce rates using Autoreggressive Integrated Moving Average (ARIMA) Method. The results of the research are ARIMA best model used is (1,0,2) and (2,0,2), with levels error 0.48% by using Mean Absolute Percentage Error (MAPE). It can also be said that the accuracy level of applying ARIMA to predict the monthly divorce rate in the Religious Courts of South Sumatra is 99.52%. The author also compares ARIMA model with other time series methods, Fuzzy time series, with an error rate of MAPE 0.82% which is greater than ARIMA.
Inventory Code | Barcode | Call Number | Location | Status |
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2407003715 | T145208 | T1452082024 | Central Library (REFERENCES) | Available but not for loan - Not for Loan |
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