CD Skripsi

Peramalan Kemunculan Titik Panas di Indonesia Menggunakan Analisis Intervensi Fungsi Pulse

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The forest area in Indonesia is decreasing, caused by forest fires either intentionally through land clearing or unintentionally due to climate change. Hotspots are an indicator used in detecting fires on land. The purpose of this study is to predict the number of hotspots in Indonesia in the future using intervention analysis. The intervention method is used to examine data that has increased in an extreme manner. There are two functions in the intervention method, namely step and pulse functions. This study uses data on the occurrence of hotspots in Indonesia that are observed to have increased due to temperature increase events. The results of this study obtained that the intervention model pulse function SARIMA intervention model with order is a good model in forecasting the occurrence of hot spots in Indonesia with a MAPE value of 8.06%. Forecasting the number of hotspots in the following period has decreased with an increasing trend in February, August and October.

Keywords: Hotspot, time series, intervention analysis, SARIMA, forecasting

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1903155884

Penerbit

Pekanbaru : Universitas Riau – FMIPA – STATISTIKA., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1903155884

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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