Determinan Nilai Ekspor Ikan Tuna Segar Indonesia

Qintan, Gayatri Ratri (2025) Determinan Nilai Ekspor Ikan Tuna Segar Indonesia. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5033211022-Undergraduate_Theses.pdf - Accepted Version Restricted to Repository staff only Download (5MB) | Request a copy

Abstract

Ikan tuna merupakan komoditas ekspor hasil perikanan tangkap terbesar kedua di Indonesia setelah komoditas udang, sekaligus menjadi salah satu penyumbang devisa negara. Secara global, Indonesia berkontribusi sekitar 19,1% terhadap total pasokan ikan tuna dunia. Meskipun berperan penting dalam menyumbang devisa negara, nilai ekspor tuna segar Indonesia mengalami fluktuasi antarnegara tujuan dalam beberapa tahun terakhir. Oleh karena itu, penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi nilai ekspor ikan tuna segar Indonesia. Metode yang digunakan adalah pendekatan kuantitatif dengan teknik analisis statistik deskriptif dan regresi data panel. Penelitian ini menggunakan data dari delapan negara tujuan utama ekspor ikan tuna segar Indonesia selama periode 2015–2023, yaitu Jepang, Amerika Serikat, Singapura, Thailand, Australia, Uni Emirat Arab, Malaysia, dan Hong Kong. Hasil analisis menunjukkan bahwa variabel logistik, yang diproksikan dengan Logistics Performance Index (LPI), ukuran pasar yang diproksikan dengan populasi, dan nilai tukar memiliki pengaruh positif dan signifikan terhadap nilai ekspor tuna segar Indonesia. Sebaliknya, variabel biaya transportasi yang diproksikan melalui jarak ekonomi memiliki pengaruh negatif serta signifikan. Selain itu, variabel infrastruktur yang diproksikan dengan indeks kualitas pelabuhan dan pertumbuhan ekonomi yang diproksikan dengan GDP riil tidak menunjukkan pengaruh signifikan terhadap ekspor ikan tuna segar. Melalui studi ini, diharapkan dapat memberikan kontribusi empiris dalam merumuskan kebijakan ekspor yang lebih responsif terhadap tantangan logistik, akses pasar, dan efisiensi rantai pasok, guna memperkuat daya saing tuna segar Indonesia di pasar global.
==================================================================================================================================
Tuna is the second largest export commodity from capture fisheries in Indonesia after shrimp, and is also one of the contributors to the country's foreign exchange. Globally, Indonesia contributes around 19.1% to the world's total tuna supply. Despite its important role in contributing to the country's foreign exchange, the value of Indonesia's fresh tuna exports has fluctuated between destination countries in recent years. Therefore, this study aims to analyze the factors that influence the value of Indonesia's fresh tuna exports. The method used is a quantitative approach with descriptive statistical analysis techniques and panel data regression. This study uses data from eight main destination countries for Indonesia's fresh tuna exports during the 2015–2023 period, namely Japan, the United States, Singapore, Thailand, Australia, the United Arab Emirates, Malaysia, and Hong Kong. The results of the analysis show that logistics variables, proxied by the Logistics Performance Index (LPI), market size proxied by population, and exchange rates have a positive and significant effect on the value of Indonesia's fresh tuna exports. Conversely, the transportation cost variables proxied by economic distance have a negative and significant effect. In addition, the infrastructure variable proxied by the port quality index and economic growth proxied by real GDP did not show a significant effect on fresh tuna exports. This study is expected to provide empirical contributions for formulating export policies that are more responsive to challenges in logistics, market access, and supply chain efficiency, in order to enhance the competitiveness of Indonesia’s fresh tuna in the global market.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Export, Fresh Tuna, Infrastructure, Logistic, Panel Data Regression
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HA Statistics > HA31.3 Regression. Correlation. Logistic regression analysis. H Social Sciences > HC Economic History and Conditions > HC441 Macroeconomics.
Divisions:	Faculty of Business and Management Technology > Development Studies > 60201-(S1) Undergraduate Thesis
Depositing User:	Gayatri Ratri Qintan
Date Deposited:	31 Jul 2025 03:07
Last Modified:	31 Jul 2025 03:07
URI:	http://repository.its.ac.id/id/eprint/123470

Actions (login required)

View Item