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Pemodelan dan prediksi jumlah penumpang pelabuhan bakauheni selama periode tsunami Selat Sunda menggunakan autoregressive integrated moving average

Journal of Science and Applicative Technology · Vol. 4 No. 1 (2020)

DOI
10.35472/jsat.v4i1.266
ISSN
2581-0545
Terbit
2020-06-15
Penerbit
Institut Teknologi Sumatra
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Bakauheni Port is a ferry port located in Bakauheni District, South Lampung. This port is one of the major ports located on Sumatera island connecting Sumatera and Java and is located in the Sunda Strait. The tsunami that occurred in the Sunda Strait on December 22, 2018 indirectly affected the sea crossing node, especially the Bakauheni-Merak route. This can lead to changes in time series data patterns. The phenomenon is expected to be captured through a mathematical modeling that can be used as a decision making in the future. The purpose of this study was to model and predict the number of Bakauheni port passengers during the Sunda Strait Tsunami period using the Autoregressive Integrated Moving Average (ARIMA). The ARIMA approach uses past information as a basis for modeling. Based on visual information on the number of Bakauheni Port passengers, there was an increase in December in general. Other information is that there are seasonal patterns that occur with a span of 7 days. This was indicated by the pattern of repeated increases in the number of passengers every Sunday. After the tsunami, the number of passengers decreased for 2 days. In the 3 days after the Tsunami or during the Christmas holiday on December 25, 2018, the number of passengers has increased again. Based on the analysis and discussion that has been done, the best time series model obtained is ARIMA([5],1,2)(2,1,0)7 with a Mean Absolute Percentage Error (MAPE) of 9.55%.

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11 penulis · 19 tautan kepenulisan bersama · 7 lintas organisasi

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  • Sumatera Institute of Technology
  • Universitas Islam Negeri Raden Intan Lampung
  • Bandung Institute of Technology
  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Meli PranataUniversitas Islam Negeri Raden Intan Lampung1
Deden MakbulohUniversitas Islam Negeri Raden Intan Lampung1
Achi RinaldiUniversitas Islam Negeri Raden Intan Lampung1
Kurnia Novita SariBandung Institute of Technology1
Werry FebriantiSumatera Institute of Technology1
Sapto Wahyu IndratnoBandung Institute of Technology1
Amalia ListianiSumatera Institute of Technology1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2581-0545/works, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Pemodelan dan prediksi jumlah penumpang pelabuhan bakauheni selama periode tsunami Selat Sunda menggunakan autoregressive integrated moving average</dc:title><dc:creator>Mahkya, Dani Al</dc:creator><dc:creator>Anggraini, Dian</dc:creator><dc:creator>Fitriawati, Andi</dc:creator><dc:creator>Siahaan, Radot MH</dc:creator><dc:description>&lt;jats:p&gt;Bakauheni Port is a ferry port located in Bakauheni District, South Lampung. This port is one of the major ports located on Sumatera island connecting Sumatera and Java and is located in the Sunda Strait. The tsunami that occurred in the Sunda Strait on December 22, 2018 indirectly affected the sea crossing node, especially the Bakauheni-Merak route. This can lead to changes in time series data patterns. The phenomenon is expected to be captured through a mathematical modeling that can be used as a decision making in the future. The purpose of this study was to model and predict the number of Bakauheni port passengers during the Sunda Strait Tsunami period using the Autoregressive Integrated Moving Average (ARIMA). The ARIMA approach uses past information as a basis for modeling. Based on visual information on the number of Bakauheni Port passengers, there was an increase in December in general. Other information is that there are seasonal patterns that occur with a span of 7 days. This was indicated by the pattern of repeated increases in the number of passengers every Sunday. After the tsunami, the number of passengers decreased for 2 days. In the 3 days after the Tsunami or during the Christmas holiday on December 25, 2018, the number of passengers has increased again. Based on the analysis and discussion that has been done, the best time series model obtained is ARIMA([5],1,2)(2,1,0)7 with a Mean Absolute Percentage Error (MAPE) of 9.55%.&lt;/jats:p&gt;</dc:description><dc:publisher>Institut Teknologi Sumatra</dc:publisher><dc:date>2020-06-15</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.35472/jsat.v4i1.266</dc:identifier><dc:identifier>10.35472/jsat.v4i1.266</dc:identifier><dc:source>Journal of Science and Applicative Technology; Vol 4 No 1 (2020); 32</dc:source><dc:source>2581-0545</dc:source><dc:relation>https://journal.itera.ac.id/index.php/jsat/article/download/266/106</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>