Autoregressive Integrated Moving Average Untuk Memprediksi Kebutuhan Daya Listrik Kabupaten Lumajang

Prastyo, Fery Agung and Ahsan, Moh and Nugraha, Danang Aditya (2021) Autoregressive Integrated Moving Average Untuk Memprediksi Kebutuhan Daya Listrik Kabupaten Lumajang. JIMP, 3 (1). pp. 1-4. ISSN P-ISSN : 2502-5716, E-ISSN : 2503-1945

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Official URL: http://ejurnal.unmerpas.ac.id/index.php/informatik...

Abstract

The electricity consumption of PLN in Lumajang Regency consists of several types of customers including external customers, internal customers and intermediate customers. Prediction or forecasting in research to forecast the electricity consumption of each type of customer uses the Autoregressive Integrated Moving Average (ARIMA) technique. The research was carried out with data collection, data analysis using Autoregressive Integrated Moving Average. The results of forcasting with the ARIMA technique are based on the results of the smallest MSE and MAPE values. The results of the parameter significance test using the ARIMA model (1,1,0) obtained MSE 23236091976 and MAPE 5.52278%, while for the ARIMA model (0,1,1) MSE 24588319865 and MAPE 6.0376302% and for the ARIMA model (1,1 ,1) obtained MSE 139049864555 and MAPE 14.021832% so that it c

Item Type: Article
Subjects: 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 005 Pemrograman komputer, program dan data
Divisions: Fakultas Sains dan Teknologi > Teknik Informatika
Depositing User: MOH. AHSAN
Date Deposited: 10 Jan 2023 07:39
Last Modified: 12 Jan 2023 05:23
URI: http://repository.unikama.ac.id/id/eprint/4810

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