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Jurnal SINTA 3

PERAMALAN JUMLAH PENUMPANG PESAWAT TERBANG DI PINTU KEDATANGAN BANDAR UDARA INTERNASIONAL PATTIMURA AMBON DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 13 No. 3 (2019) · pp. 135–144

DOI
10.30598/barekengvol13iss3pp135-144ar883
ISSN
2615-3017, 1978-7227
Published
2019-10-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

The Autoregressive Integrated Moving Average (ARIMA) model is often used to forecast time series data. In the era of globalization, rapidly progressing times, one of them in the field of transportation. The aircraft is one of the transportation that the residents can use to support their activities, both in business and tourism. The objective of the research is to know the forecasting of the number of passengers of airplanes at the arrival gate of Pattimura Ambon International Airport using ARIMA Box-Jenkins method. The best model selection is ARIMA (0, 1, 3) because it has significant parameter value and MSE value is smaller.

Collaboration network of the authors

40 authors · 94 co-authorship links · showing the 40 most connected

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

  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Elvinus R. PersulessyAffiliation unknown4
Mozart W. TalakuaAffiliation unknown4
Venn Yan Ishak IlwaruAffiliation unknown3
Zeth Arthur LeleuryAffiliation unknown2
Olumuyiwa James PeterAffiliation unknown2
Marlon S. Noya van DelsenAffiliation unknown2
RUDY W. MatakupanAffiliation unknown1
Abdul H. MahmudAffiliation unknown1
Lidia SalakaAffiliation unknown1
Yohana Y. BakarbessyAffiliation unknown1
Melky M. RomseryAffiliation unknown1
Salmon N. AuleleAffiliation unknown1
Trisnawaty TrisnawatyAffiliation unknown1
Abraham Z. WattimenaAffiliation unknown1
Chevano Bill PattipeilohyAffiliation unknown1
Venn Y. I. IlwaruAffiliation unknown1
Zeth A. LeleuryAffiliation unknown1
Tesa SumahAffiliation unknown1
H. AbrahamsAffiliation unknown1
Dorteus L. RahakbauwAffiliation unknown1
Rethalina WaasAffiliation unknown1
Ferry Kondo LembangAffiliation unknown1
Christof F. RomerAffiliation unknown1
Salmon Noce AuleleAffiliation unknown1
Natalia KelbulanAffiliation unknown1
Jemsry E. LakotanyAffiliation unknown1
Jesica TentuaAffiliation unknown1
Charlitta FhilyaAffiliation unknown1
Berny Pebo TomasouwAffiliation unknown1
Fredrylo Alberth Noel Joddy ApituleyAffiliation unknown1
Yunita Puspita SariAffiliation unknown1
Nurhidayah NurhidayahUniversitas Halu Oleo1
Nona Tjie SapuletteAffiliation unknown1
Monalissa E RijolyAffiliation unknown1
Sylvert Prian TahaleaAffiliation unknown1
Swine Enggelina LarubunAffiliation 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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">PERAMALAN JUMLAH PENUMPANG PESAWAT TERBANG DI PINTU KEDATANGAN BANDAR UDARA INTERNASIONAL PATTIMURA AMBON DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS</dc:title>
	<dc:creator>Hayoto, Sasmita</dc:creator>
	<dc:creator>Lesnussa, Yopi Andry</dc:creator>
	<dc:creator>Patty, Henry W. M.</dc:creator>
	<dc:creator>Djami, Ronald John</dc:creator>
	<dc:description xml:lang="en-US">The Autoregressive Integrated Moving Average (ARIMA) model is often used to forecast time series data. In the era of globalization, rapidly progressing times, one of them in the field of transportation. The aircraft is one of the transportation that the residents can use to support their activities, both in business and tourism. The objective of the research is to know the forecasting of the number of passengers of airplanes at the arrival gate of Pattimura Ambon International Airport using ARIMA Box-Jenkins method. The best model selection is ARIMA (0, 1, 3) because it has significant parameter value and MSE value is smaller.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2019-10-01</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:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/883</dc:identifier>
	<dc:identifier>10.30598/barekengvol13iss3pp135-144ar883</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 13 No 3 (2019): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 135-144</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol13iss3year2019</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/883/1098</dc:relation>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/883/1101</dc:relation>
</oai_dc:dc>