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Peramalan Jumlah Penumpang Kapal Laut Menggunakan Metode Fuzzy Runtun Waktu Chen Orde Tinggi

ESTIMASI: Journal of Statistics and Its Application · Vol. 2 No. 1 (2021) · pp. 38–48

DOI
10.20956/ejsa.v2i1.10328
ISSN
2721-379X, 2721-3803
Published
2021-05-15
Publisher
Hasanuddin University
Language
en

Abstract

The port has become an important part of people's lives. On certain days there is an increase in the number of ship passengers which can slow down operational activities from the port, thus causing a buildup of passengers at the port. therefore, the port must be prepared to deal with the buildup of passengers at the port. Based on this, the researchers made a prediction or forecasting the number of ship passengers at Makassar Soekarno Hatta Port in the coming period to find out how much the estimated number of passengers at Makassar Soekarno Hatta Port. The results of these studies can be input to the PT. Pelabuhan Indonesia IV (Persero ) Makassar if there will be a surge in passengers in the future period. researchers used the fuzzy method of high order chen time series in forecasting or prediction in this study. The researcher divides the data onto training and testing data. The results of the study using fuzzy time series with the best high order chen are that the second order produces MAPE error size of 0,143, MSE 13470993,9 and MAE of 9478,52. The result of prediction of testing data onto one period in the future is 52.608.

Keywords

Collaboration network of the authors

36 authors · 96 co-authorship links

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Co-authorOrganisationJoint articles
Georgina Maria TinungkiAffiliation unknown5
Nasrah SirajangAffiliation unknown3
La Podje TalangkoAffiliation unknown2
Andi Kresna JayaAffiliation unknown2
Rael Hofni TandirerungAffiliation unknown2
Risma RismaAffiliation unknown1
Ika FitrianaAffiliation unknown1
Dewi Santika Upa P.Affiliation unknown1
Ririn AriantiAffiliation unknown1
Muhammad IdmanAffiliation unknown1
Raupong RaupongAffiliation unknown1
Fitri AnnisaAffiliation unknown1
Ratmila MammiAffiliation unknown1
Aqilah Salsabila RahmanAffiliation unknown1
Nurtiti SunusiAffiliation unknown1
Riska RasyidAffiliation unknown1
Mukrimin AdamAffiliation unknown1
Anisa Haura Salsa Fatih YusufAffiliation unknown1
Nurhidaya LAffiliation unknown1
Hendriete Tiur Marowi WaibusiAffiliation unknown1
Sonya SonyaAffiliation unknown1
Nirwan NirwanAffiliation unknown1
Nurhidayatullah NurhidayatullahAffiliation unknown1
Nuralyatussa’ adaAffiliation unknown1
Amalia AndrianingrumAffiliation unknown1
Siswanto SiswantoAffiliation unknown1
Andi Isna YunitaAffiliation unknown1
Muhammad FadilAffiliation unknown1
A.Muthiah Nur AngrianyAffiliation unknown1
Rini JamalAffiliation unknown1
Andi M Alfin BasoAffiliation unknown1
Andi FebriyantiAffiliation unknown1
Rahmiati RahimAffiliation 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/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Peramalan Jumlah Penumpang Kapal Laut Menggunakan Metode Fuzzy Runtun Waktu Chen Orde Tinggi</dc:title>
	<dc:creator xml:lang="en">Adiputra, Rizki</dc:creator>
	<dc:creator xml:lang="en">Herdiani, Erna Tri</dc:creator>
	<dc:creator xml:lang="en">Sahriman, Sitti</dc:creator>
	<dc:subject xml:lang="en">Fuzzy Time Series</dc:subject>
	<dc:subject xml:lang="en">High Order</dc:subject>
	<dc:subject xml:lang="en">Ship Passengers</dc:subject>
	<dc:subject xml:lang="en">Testing</dc:subject>
	<dc:subject xml:lang="en">Training</dc:subject>
	<dc:description xml:lang="en">The port has become an important part of people's lives. On certain days there is an increase in the number of ship passengers which can slow down operational activities from the port, thus causing a buildup of passengers at the port. therefore, the port must be prepared to deal with the buildup of passengers at the port. Based on this, the researchers made a prediction or forecasting the number of ship passengers at Makassar Soekarno Hatta Port in the coming period to find out how much the estimated number of passengers at Makassar Soekarno Hatta Port. The results of these studies can be input to the PT. Pelabuhan Indonesia IV (Persero ) Makassar if there will be a surge in passengers in the future period. researchers used the fuzzy method of high order chen time series in forecasting or prediction in this study . The researcher divides the data onto training and testing data . The results of the study using fuzzy time series with the best high order chen are that the second order produces MAPE error size of 0,143 , MSE 13470993,9 and MAE of 9478,52 . The result of prediction of testing data onto one period in the future is 52.608.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2021-05-15</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://journal.unhas.ac.id/index.php/ESTIMASI/article/view/10328</dc:identifier>
	<dc:identifier>10.20956/ejsa.v2i1.10328</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 2, No. 1, Januari, 2021 : Estimasi; 38-48</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/10328/6789</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 ESTIMASI: Journal of Statistics and Its Application</dc:rights>
</oai_dc:dc>