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      Analisis Volatilitas dan Peramalan Harga Ekspor Kayu Lapis Indonesia Periode 2006-2023

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      Date
      2024
      Author
      SYAHRONES, SHERLY
      Manurung, Elisa Ganda Togu
      Simangunsong, Bintang C. H.
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      Abstract
      Kayu lapis merupakan komoditas penghasil devisa negara yang paling potensial di Indonesia karena fungsinya dalam pembuatan berbagai produk olahan kayu. Harga ekspor kayu lapis berdasarkan nilai perkembangan ekspor dari Januari 2006 hingga Desember 2023 mengalami fluktuasi, dengan rata-rata sebesar 950,10 $/ton. Kenaikan harga ekspor per tahunnya tanpa memperhatikan faktor inflasi hanya sebesar 0,07%. Penelitian ini bertujuan menganalisis tingkat volatilitas harga ekspor kayu lapis dan menentukan model forecasting untuk harga ekspor kayu lapis Indonesia periode 2006-2023 dengan menggunakan model ARIMA dan ARCH. Hasil penelitian menunjukkan tingkat volatilitas harga ekspor kayu lapis periode 2006-2023 menggunakan model ARCH (1) mengindikasikan tidak terjadinya clustering volatility sehingga ukuran volatilitas dari harga ekspor kayu lapis tidak berubah secara signifikan dari waktu ke waktu. Selain itu, model forecasting terpilih untuk harga ekspor kayu lapis periode 2006-2023 adalah ARIMA (0,1,1). Hal ini dibuktikan dengan hasil peramalan harga ekspor kayu lapis bulanan dari tahun 2006 hingga 2023 yang mendekati nilai asli (real price).
       
      Plywood is the most potential foreign exchange earning commodity in Indonesia due to its function in the manufacture of various processed wood products. Plywood export prices based on the value of export development from January 2006 to December 2023 fluctuated, with an average of 950,10 $/ton. The increase in export prices per year without considering the inflation factor is only 0,07%. This study aims to analyze the volatility level of plywood export prices and determine the forecasting model for Indonesian plywood export prices for the period 2006-2023 using ARIMA and ARCH models. The results showed that the volatility level of plywood export prices for the period 2006-2023 using the ARCH (1) model indicated that there was no volatility clustering so that the volatility measure of plywood export prices did not change significantly over time. In addition, the selected forecasting model for plywood export prices for the period 2006-2023 is ARIMA (0,1,1). This is evidenced by the forecasting results of monthly plywood export prices from 2006 to 2023 which are close to the original value.
       
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      http://repository.ipb.ac.id/handle/123456789/153518
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      • UT - Forestry Products [2464]

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      Copyright © 2020 Library of IPB University
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      Indonesia DSpace Group 
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