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Arima Modeling for High-Frequency Channel Response in Equatorial Region

Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro · Vol. 9 No. 2 (2025) · hlm. 225–234

DOI
10.22373/5yvm4332
ISSN
2549-3701, 2549-3698
Terbit
2025-08-31
Penerbit
PTE FTK UIN Ar-Raniry
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Indonesia, an archipelagic country located along the equator, is highly vulnerable to natural disasters. At the same time, its geographical conditions require reliable telecommunications to strengthen connectivity across its many islands. One effective solution is the utilization of High-Frequency (HF) communication technology, which enables long-distance communication and supports broadcasting-based telecommunications. This approach can expand available frequency channels, making HF radio communication an important tool for disaster-prone regions like Indonesia. To optimize HF communication, researchers have developed various models of HF channel radio systems, often represented statistically and implemented through channel simulators. Among these approaches, the Auto Regressive Integrated Moving Average (ARIMA) model has been identified as particularly suitable. This is because ARIMA can handle the non-stationary characteristics of time-series data, such as those found in HF channel attenuation measurements. In the modeling process, several ARIMA configurations were tested, including ARIMA (0,1,1), (0,0,5), (1,0,0), (1,0,1), (1,0,2), and (0,0,4). From these options, two models—ARIMA (1,0,0) and ARIMA (1,0,2)—showed the closest fit to the observed data. The final selection was made using the Akaike Information Criterion (AIC), where the ARIMA (1,0,2) model emerged as the best. This model provides the most accurate representation for predicting HF channel attenuation, supporting more reliable telecommunications systems for Indonesia.

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  • University of Singaperbangsa Karawang
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HayatiAfiliasi tidak diketahui2
Naila Eka FazlinAfiliasi tidak diketahui2
Tjaturahono Budi SanjotoAfiliasi tidak diketahui1
Shofia AminAfiliasi tidak diketahui1
Dahmiri DahmiriAfiliasi tidak diketahui1
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Muhammad AliTadulako University1
Abdul HadiUniversity of Singaperbangsa Karawang1
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M AminAfiliasi tidak diketahui1
Fajar AfriantoAfiliasi tidak diketahui1
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Sumber metadata: OAI-PMH (metadata jurnal) https://jurnal.ar-raniry.ac.id/index.php/circuit/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Arima Modeling for High-Frequency Channel Response in Equatorial Region</dc:title>
	<dc:creator xml:lang="en">Jaya, Indra</dc:creator>
	<dc:creator xml:lang="en">Nawawi, Muhammad </dc:creator>
	<dc:creator xml:lang="en">Handoko, Lukman </dc:creator>
	<dc:creator xml:lang="en">Alfiah, Agry</dc:creator>
	<dc:subject xml:lang="en">Radio communication systems</dc:subject>
	<dc:subject xml:lang="en">archipelago</dc:subject>
	<dc:subject xml:lang="en">and channel simulators.</dc:subject>
	<dc:subject xml:lang="en">ARIMA MODELING</dc:subject>
	<dc:description xml:lang="en">Indonesia, an archipelagic country located along the equator, is highly vulnerable to natural disasters. At the same time, its geographical conditions require reliable telecommunications to strengthen connectivity across its many islands. One effective solution is the utilization of High-Frequency (HF) communication technology, which enables long-distance communication and supports broadcasting-based telecommunications. This approach can expand available frequency channels, making HF radio communication an important tool for disaster-prone regions like Indonesia. To optimize HF communication, researchers have developed various models of HF channel radio systems, often represented statistically and implemented through channel simulators. Among these approaches, the Auto Regressive Integrated Moving Average (ARIMA) model has been identified as particularly suitable. This is because ARIMA can handle the non-stationary characteristics of time-series data, such as those found in HF channel attenuation measurements. In the modeling process, several ARIMA configurations were tested, including ARIMA (0,1,1), (0,0,5), (1,0,0), (1,0,1), (1,0,2), and (0,0,4). From these options, two models—ARIMA (1,0,0) and ARIMA (1,0,2)—showed the closest fit to the observed data. The final selection was made using the Akaike Information Criterion (AIC), where the ARIMA (1,0,2) model emerged as the best. This model provides the most accurate representation for predicting HF channel attenuation, supporting more reliable telecommunications systems for Indonesia.</dc:description>
	<dc:publisher xml:lang="en">PTE FTK UIN Ar-Raniry</dc:publisher>
	<dc:date>2025-08-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.ar-raniry.ac.id/index.php/circuit/article/view/30796</dc:identifier>
	<dc:identifier>10.22373/5yvm4332</dc:identifier>
	<dc:source xml:lang="en">Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro; Vol. 9 No. 2 (2025); 225-234</dc:source>
	<dc:source>2549-3701</dc:source>
	<dc:source>2549-3698</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jurnal.ar-raniry.ac.id/index.php/circuit/article/view/30796/12021</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Indra Jaya, Muhammad Nawawi, Lukman Handoko ,Agry Alfiah</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>