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PERAMALAN JUMLAH PENUMPANG PESAWAT DI BANDAR UDARA INTERNASIONAL JUANDA MENGGUNAKAN METODE EXPONENTIAL SMOOTHING EVENT-BASED

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 15 No. 4 (2021) · pp. 709–718

DOI
10.30598/barekengvol15iss4pp709-718
ISSN
2615-3017, 1978-7227
Published
2021-12-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause flight delays, decreased airport service level performance, and other impacts. This study predicts the number of aircraft passengers at Juanda International Airport using the Exponential Smoothing Event-Based method. The Exponential Smoothing Event-Based method is a forecasting method that considers special events using the Exponential Smoothing method as the initial calculation. This study uses data on the number of passengers from January 2014 to December 2020. From the forecasting model, MAPE is 11.8905%, and MSE is 4202958561.0706, so that the resulting forecast can be categorized as good.

Collaboration network of the authors

23 authors · 66 co-authorship links

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  • UIN Sunan Ampel Surabaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Achmad Teguh WibowoUIN Sunan Ampel Surabaya3
Hani KhaulasariUIN Sunan Ampel Surabaya3
Putroue Keumala IntanUIN Sunan Ampel Surabaya3
Silvia Kartika SariUIN Sunan Ampel Surabaya2
Latifatun Nadya DesinainiUIN Sunan Ampel Surabaya2
Ida PurwantiUIN Sunan Ampel Surabaya2
Moh. HafiyusholehUIN Sunan Ampel Surabaya2
Ghina Salsabila FirdausUIN Sunan Ampel Surabaya1
Ahmad Teguh WibowoAffiliation unknown1
Dian Candra Rini NovitasariUIN Sunan Ampel Surabaya1
Diah Devi PramestiUIN Sunan Ampel Surabaya1
Husna Nur LailiUIN Sunan Ampel Surabaya1
Diah Restu NingsihUIN Sunan Ampel Surabaya1
Aris FananiUIN Sunan Ampel Surabaya1
Luluk WulandariUIN Sunan Ampel Surabaya1
Nanida Jenahara ZaenUIN Sunan Ampel Surabaya1
Nurissaidah UlinnuhaUIN Sunan Ampel Surabaya1
Mayandah FarmitaUIN Sunan Ampel Surabaya1
Yahya Vigo Tri SaputraUIN Sunan Ampel Surabaya1
Yayan Luthfi KhoirinaUIN Sunan Ampel Surabaya1

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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (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-US">PERAMALAN JUMLAH PENUMPANG PESAWAT DI BANDAR UDARA INTERNASIONAL JUANDA MENGGUNAKAN METODE EXPONENTIAL SMOOTHING EVENT-BASED</dc:title>
	<dc:creator>Farida, Yuniar</dc:creator>
	<dc:creator>Yusi, Suyesti</dc:creator>
	<dc:creator>Yuliati, Dian</dc:creator>
	<dc:description xml:lang="en-US">The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause flight delays, decreased airport service level performance, and other impacts. This study predicts the number of aircraft passengers at Juanda International Airport using the Exponential Smoothing Event-Based method. The Exponential Smoothing Event-Based method is a forecasting method that considers special events using the Exponential Smoothing method as the initial calculation. This study uses data on the number of passengers from January 2014 to December 2020. From the forecasting model, MAPE is 11.8905%, and MSE is 4202958561.0706, so that the resulting forecast can be categorized as good.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2021-12-01</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3869</dc:identifier>
	<dc:identifier>10.30598/barekengvol15iss4pp709-718</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 709-718</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol15iss4year2021</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/3869/3577</dc:relation>
</oai_dc:dc>