Published: 2021-08-31
Average Based Length Fuzzy Time Series Data Seasonal untuk Prediksi Volume Impor Migas Indonesia
DOI: 10.35870/jemensri.v6i1.1764
Adika Setia Brata, Alfian Anhar, Windy Lestari, Melda Juliza, Suci Rahmawati, M Tantry Abeng Evan Nugroho
- Adika Setia Brata: Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar , Indonesia
- Alfian Anhar: Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar , Indonesia
- Windy Lestari: Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar , Indonesia
- Melda Juliza: Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar , Indonesia
- Suci Rahmawati: Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar , Indonesia
- M Tantry Abeng Evan Nugroho: Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar , Indonesia
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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%.
Keywords
FTS (Fuzzy Time Series) ; Data-Based Intervals ; Value of Oil Gas Imports ; MAPE
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Article Information
This article has been peer-reviewed and published in the Jurnal Ekonomi Manajemen dan Sekretari. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 6 No. 1 (2021)
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Section: Articles
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Published: %750 %e, %2021
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/jemensri.v6i1.1764
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Adika Setia Brata
Program Studi Statistik, Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar, Kota Denpasar, Provinsi Bali, Indonesia
Alfian Anhar
Program Studi Statistik, Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar, Kota Denpasar, Provinsi Bali, Indonesia
Windy Lestari
Program Studi Statistik, Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar, Kota Denpasar, Provinsi Bali, Indonesia
Melda Juliza
Program Studi Statistik, Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar, Kota Denpasar, Provinsi Bali, Indonesia
Suci Rahmawati
Program Studi Sistem Informasi, Institut Sains dan Teknologi Nahdlatul Ulama Bali Denpasar, Kota Denpasar, Provinsi Bali, Indonesia

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