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Implementation of Singular Spectrum Analysis Method for Prediction of Average Sunshine Duration

Jurnal Matematika, Statistika dan Komputasi · Vol. 21 No. 3 (2025) · pp. 897–908

DOI
10.20956/j.v21i3.43304
ISSN
2614-8811, 1858-1382
Published
2025-05-14
Publisher
Department of Mathematics, Hasanuddin University
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

Solar irradiance is the process by which radiant energy from the sun reaches the earth. BMKG states that solar irradiance reaches 100% when the sun shines for 8 hours a day. Less than 8 hours of solar irradiance a day can affect local and global climate systems. This research aims to analyze and predict of average sunshine duration in Pasuruan with the Singular Spectrum Analysis (SSA) method. Based on the SSA model for optimal solar irradiation with and Grouping Effect, this study analyzes the prediction of average sunshine duration in Pasuruan which produces a Mean Absolute Percentage Error (MAPE) value of 19.53%. The results indicate that the predictions are effectively categorized for estimating the average solar irradiance. The highest average was in July at 60.1% and the lowest average was in November at 12.82%

Keywords

Collaboration network of the authors

34 authors · 103 co-authorship links · 21 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • UIN Sunan Ampel Surabaya
  • Meteorological, Climatological, And Geophysical Agency
  • Badan Pusat Statistik
  • Institut Teknologi Sepuluh Nopember
  • National Taiwan University of Science and Technology
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dian Candra Rini NovitasariUIN Sunan Ampel Surabaya5
Hani KhaulasariUIN Sunan Ampel Surabaya4
Moh. HafiyusholehUIN Sunan Ampel Surabaya3
Nanang WidodoAffiliation unknown2
Abdulloh HamidUIN Sunan Ampel Surabaya2
Yuniar FaridaUIN Sunan Ampel Surabaya2
Siti Nur FadilahUIN Sunan Ampel Surabaya2
Unix Izyah ArfiantiUIN Sunan Ampel Surabaya1
Diah Restu NingsihUIN Sunan Ampel Surabaya1
Dian YuliatiUIN Sunan Ampel Surabaya1
Felia Dria YuliawantiUIN Sunan Ampel Surabaya1
Ilmiatul MardiyahUIN Sunan Ampel Surabaya1
Dewi SulistiyawatiBadan Pusat Statistik1
Alvin Nuralif RamadantiUIN Sunan Ampel Surabaya1
Indra Ariyanto WijayaAffiliation unknown1
Victory Tyas Pambudi SwindiartoAffiliation unknown1
Muhammad ImronUIN Sunan Ampel Surabaya1
Firman ArmunantoBadan Pusat Statistik1
Aris FananiUIN Sunan Ampel Surabaya1
Ahmad Naufal DzakyUIN Sunan Ampel Surabaya1
Achmad Teguh WibowoUIN Sunan Ampel Surabaya1
Mayandah FarmitaUIN Sunan Ampel Surabaya1
Nurissaidah UlinnuhaUIN Sunan Ampel Surabaya1
Shafa Fitria Aqilah KhansaUIN Sunan Ampel Surabaya1
Achmad Fachril Yusuf AbabilUIN Sunan Ampel Surabaya1
Yahya Vigo Tri SaputraUIN Sunan Ampel Surabaya1
Anisa Nur AzizahInstitut Teknologi Sepuluh Nopember1
Fajar SetiawanMeteorological, Climatological, And Geophysical Agency1
Ghaluh Indah Permata SariNational Taiwan University of Science and Technology1
Dian C.R. NovitasariAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jmsk/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Implementation of Singular Spectrum Analysis Method for Prediction of Average Sunshine Duration</dc:title>
	<dc:creator xml:lang="en">Rachman, Shifa Amelia</dc:creator>
	<dc:creator xml:lang="en">Intan, Putroue Keumala</dc:creator>
	<dc:creator xml:lang="en">Utami, Wika Dianita Utami</dc:creator>
	<dc:creator xml:lang="en">Salamiani, Adhim</dc:creator>
	<dc:subject xml:lang="en">solar irradiance</dc:subject>
	<dc:subject xml:lang="en">Prediction</dc:subject>
	<dc:subject xml:lang="en">Climate</dc:subject>
	<dc:subject xml:lang="en">Singular Spectrum Analysis</dc:subject>
	<dc:subject xml:lang="en">BMKG</dc:subject>
	<dc:description xml:lang="en">Solar irradiance is the process by which radiant energy from the sun reaches the earth. BMKG states that solar irradiance reaches 100% when the sun shines for 8 hours a day. Less than 8 hours of solar irradiance a day can affect local and global climate systems. This research aims to analyze and predict of average sunshine duration in Pasuruan with the Singular Spectrum Analysis (SSA) method. Based on the SSA model for optimal solar irradiation with  and Grouping Effect , this study analyzes the prediction of average sunshine duration in Pasuruan which produces a Mean Absolute Percentage Error (MAPE) value of 19.53%. The results indicate that the predictions are effectively categorized for estimating the average solar irradiance. The highest average was in July at 60.1% and the lowest average was in November at 12.82%
 </dc:description>
	<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
	<dc:date>2025-05-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jmsk/article/view/43304</dc:identifier>
	<dc:identifier>10.20956/j.v21i3.43304</dc:identifier>
	<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 21 No. 3 (2025): MAY 2025; 897-908</dc:source>
	<dc:source>2614-8811</dc:source>
	<dc:source>1858-1382</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/43304/12815</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Matematika, Statistika dan Komputasi</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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