FEBRIANTI, RANI and Passarella, Rossi (2024) ANALISIS DATA PENUMPANG KAPAL PROVINSI DKI JAKARTA MENGGUNAKAN METODE CLUSTERING K-MEANS. Undergraduate thesis, Sriwijaya University.
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Abstract
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.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Manajemen Pelabuhan; Transportasi Laut; Pengelompokan K-Means |
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
| Depositing User: | Rani Febrianti |
| Date Deposited: | 31 May 2024 01:34 |
| Last Modified: | 31 May 2024 01:34 |
| URI: | http://repository.unsri.ac.id/id/eprint/146107 |
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