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All Journal Jurnal Aplikasi Pelayaran dan Kepelabuhanan Jurnal Ekonomi, Teknologi dan Bisnis JPMP Riwayat: Educational Journal of History and Humanities
Akhmad, Ekka Pujo Ariesanto
Program Studi Manajemen Pelabuhan Dan Logistik Maritim, Fakultas Vokasi Pelayaran, Universitas Hang Tuah
Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Social Sciences Transportation

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Journal : Jurnal Ekonomi, Teknologi dan Bisnis

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Classification Of Indonesian Frozen Shrimp Export Data Using K-Medoids Clustering Akhmad, Ekka Pujo Ariesanto; Priyono, Budi
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 5 (2024): JETBIS : Journal Of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i5.106

Abstract

Indonesia is one of the countries exporting caught, cultivated, and frozen shrimp to both developed and developing countries. Previously, the frozen shrimp export data was categorized based on the countries it was exported to. However, the list of frozen shrimp exports did not include the export levels. This research aims to explore the application of machine learning to analyze the frozen shrimp export data from the main destination countries using the K-Medoids cluster. The data for this research was sourced from the Bulletin of Foreign Trade Export Statistics documents by Product Group and Country, January 2023. The data used in this study covers the period from 2022 to 2023 and includes research variables such as net weight of goods (in tons) and FOB value (free on board). The cluster analysis revealed the formation of two clusters: one with high export levels and another with medium and low export levels.
Classification Of Indonesian Frozen Shrimp Export Data Using K-Medoids Clustering Akhmad, Ekka Pujo Ariesanto; Priyono, Budi
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 5 (2024): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i5.106

Abstract

Indonesia is one of the countries exporting caught, cultivated, and frozen shrimp to both developed and developing countries. Previously, the frozen shrimp export data was categorized based on the countries it was exported to. However, the list of frozen shrimp exports did not include the export levels. This research aims to explore the application of machine learning to analyze the frozen shrimp export data from the main destination countries using the K-Medoids cluster. The data for this research was sourced from the Bulletin of Foreign Trade Export Statistics documents by Product Group and Country, January 2023. The data used in this study covers the period from 2022 to 2023 and includes research variables such as net weight of goods (in tons) and FOB value (free on board). The cluster analysis revealed the formation of two clusters: one with high export levels and another with medium and low export levels.
Co-Authors Budi Priyono Dharmawan, Kukuh Aditya Hidayat, Sapit HUSNA, IMROATUL Latue, Shilsilia Lazaro Prawirosastro, Carlos Maulana, Ajhar Mursidi Nanda, Mochammad Prawirosastro, Carlos Lazaro Purwiyanto, Didik Rumlus, Wisnu Sepfani, Ade Putri Sudirman Sudirman Toto Dwi Jaya Saputra Vernandy, Anggy Ryo Wahyu Mas Izudin, Ahmad Widhi Yanti, Dyah Agustin