Syntax Jurnal Informatika
Vol 12 No 01 (2023): Mei 2023

PENERAPAN METODE K-MEANS UNTUK PENGELOMPOKAN DATA KAPAL BARANG (STUDI KASUS: KSOP PEKANBARU)

Ariq At-Thariq Putra (UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU)
Alwis Nazir (UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU)
Febi Yanto (UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU)
Suwanto Sanjaya (UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU)
Fadhilah Syafria (UNIVERSITAS ISLAM NEGERI SULTAN SYARIF KASIM RIAU)

Article Info

Publish Date
09 Jun 2023

Abstract

Transportation by sea is crucial for national development as it contributes to the growth of the economy and other ship transport sectors. With the increasing demand for cargo ships in the maritime transportation industry, data clustering is needed to review the growth of cargo ships in Riau. K-Means is a commonly used technique for clustering data that helps to classify data effectively. This algorithm is not influenced by data series and starts with the random determination of cluster centers during calculation. This cargo ship research aims to classify cargo ship data at the Pekanbaru KSOP, which allows the Pekanbaru KSOP to easily monitor the development of cargo ships.

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Journal Info
Syntax Jurnal Informatika
Website

Abbrev

syntax

Publisher

Universitas Singaperbangsa Karawang

Subject

Computer Science & IT

Description

Syntax Jurnal Informatika berfokus pada Rekayasa Perangkat Lunak, Teknik Kompilasi, Perancangan Basis Data, Data Mining, Teknologi Web Services, Business Intelligent, Kecerdasan Buatan, Logika Fuzzy, Computer Vision, Embedded System, Robotika, Sistem Pakar, Machine Learning, E-Commerce, Digital dan ...