Alfian Anhar
Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar

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Average Based Length Fuzzy Time Series Data Seasonal untuk Prediksi Volume Impor Migas Indonesia Adika Setia Brata; Alfian Anhar; Windy Lestari; Melda Juliza; Suci Rahmawati; M Tantry Abeng Evan Nugroho
Jurnal Ekonomi Manajemen dan Sekretari Vol. 6 No. 1 (2021): AGUSTUS 2021
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemensri.v6i1.1764

Abstract

This study aims to predict the value of Indonesian oil and gas imports using the Fuzzy Time Series method of determining average-based intervals (Average Based Length). The data used in this research is annual periodic data from 2013-2021 which was downloaded from the bps.go.id website. The research results show that the volume value of oil and gas imports in Indonesia in January 2023 will reach 4125,802 thousand tons. This research can be concluded that the accuracy of the estimation is very good, producing a MAPE value of 8.04%. The MAPE value is defined as having very good estimation results if the MAPE value is <10%.