Skripsi

ANALISIS DATA PENUMPANG KAPAL PROVINSI DKI JAKARTA MENGGUNAKAN METODE CLUSTERING K-MEANS.

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Penilaian

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Port infrastructure plays an important role in supporting inter-island connectivity and marine transportation services. In this study, we used the K-means clustering method to identify patterns and gain insights from historical data. The results of this study are presented in the form of three clusters of passenger ship with different levels of passenger numbers and departing ship, grouping them into three different clusters: low capability ports, medium capability ports, and high capability ports. These clusters have been identified as focal points for government efforts to improve transportation services in the region. In addition, the findings underscore the critical role of marine transportation in facilitating connectivity and supporting the tourism industry in the Thousand Islands Regency. This analysis not only provides a comprehensive understanding of the existing situation but also provides a basis for informed decision-making in future port management strategies. The study serves as a call to action for stakeholders and policymakers to prioritize service improvements at the identified ports.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407003673	T146107	T1461072024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1461072024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2024

Collation

xiv, 67 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

623.820 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

-

Subject(s)

Prodi Sistem Komputer
Clustering K-Means

Specific Detail Info

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Statement of Responsibility

UIN Farrah

Other version/related

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