Analysis of Factors Affecting the Price of Skipjack Tuna (Katsuwonus pelamis) at the Fishermen Level at the Sodohoa Fish Auction Market (PPI) in Kendari City

  • Leni Lestari Alumnus of Agribusiness, Faculty of Agriculture, Halu Oleo University, Kendari City, Indonesia
  • Azhar Bafadal Lecturer, Faculty of Agriculture, Halu Oleo University, Kendari City, Indonesia
  • Rosmawaty Rosmawaty Lecturer, Faculty of Agriculture, Halu Oleo University, Kendari City, Indonesia
Keywords: skipjack tuna prices, production volume, operating costs, weather factors, log-linear regression

Abstract

This study aims to analyze the factors influencing the price of skipjack tuna (Katsuwonus pelamis) and to identify the most dominant factor. The study was conducted at the Sodohoa Fishery Port in Kendari City with a population of 196 fishermen and a sample of 66 respondents, determined using the Slovin formula with a 10% margin of error. Data analysis employed multiple linear regression using a log-linear model via natural logarithmic (Ln) transformation. The results indicate that production volume (X₁), operating costs (X₂), and weather conditions (X₃) have a significant effect on skipjack tuna prices (Y). The production volume coefficient of -0.579 indicates that a 1% increase in production volume will decrease the price by 0.579%, while the operational cost coefficient of 0.023 indicates that a 1% increase in operational costs will increase the price of skipjack tuna (Y) by 0.023%. The weather coefficient of -0.1210.679 indicates that good weather tends to lower prices compared to bad weather. The R² value of 0.650 indicates that 65% of the variation in price is explained by the three variables, while 35% is influenced by other variables outside the model. Operating costs are the most dominant factor influencing skipjack tuna prices

References

Aufania, A. S., Rahayu, E. S., & Handayani, S. M. (2023). Analisis integrasi pasar ikan cakalang (Katsuwonus pelamis) antar nelayan dan pedagang DKI Jakarta. Agrista, 11(3), 85–94.
Dueri, S., Guillotreau, P., Jiménez-Toribio, R., Oliveros-Ramos, R., Bopp, L., & Maury, O. (2016). Food security or economic profitability? Projecting the effects of climate and socioeconomic changes on global skipjack tuna fisheries under three management strategies. Global Environmental Change, 41, 1–12. https://doi.org/10.1016/j.gloenvcha.2016.08.003
Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25 (Edisi ke-9). Badan Penerbit Universitas Diponegoro.
Ghozali, I. (2021). Aplikasi analisis multivariate dengan program IBM SPSS 26 (Edisi ke-10). Badan Penerbit Universitas Diponegoro.
Hutagaol, K. (2025). Kajian tentang uji asumsi klasik berbantuan SPSS. Jurnal Padegogik, 8(2), 15–28.
Kalfa, V. R., Arslan, B., & Ertuğrul, İ. (2021). Determining the factors affecting the market clearing price by using multiple linear regression method. Alphanumeric Journal, 9(1), 35–48.
Klara, A., Ratang, S. A., & Hutajulu, H. (2019). Analisis pendapatan nelayan dan distribusi pemasaran ikan cakalang di Kota Jayapura. Jumabis: Jurnal Manajemen dan Bisnis, 3(1).
Lasut, S. J., Rotinsulu, D. C., & Engka, D. S. M. (2019). Analisis pengaruh harga bahan bakar minyak dan perubahan cuaca terhadap pendapatan. Jurnal Pembangunan dan Keuangan Daerah, 18.
Mizumoto, A. (2023). Calculating the relative importance of multiple regression predictor variables using dominance analysis and random forests. Language Learning, 73(3), 844–879. https://doi.org/10.1111/lang.12518
Ningsih, N. F., Suyuti, N., & Aris, L. O. (2024). Pola jaringan distribusi ikan di Pangkalan Pendaratan Ikan (PPI) Sodohoa Kota Kendari. 8(2), 253–265.
Oskarino, E., & Trisbiantoro, D. (2025). Analisis hubungan permintaan dan persediaan ikan cakalang (Katsuwonus pelamis) di Tempat Pelelangan Ikan Sedati Kab. Sidoarjo. Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi P
ertanian, 2(1), 173–178. https://doi.org/10.62951/mikroba.v2i1.285
Rahim, A., Hastuti, D. R. D., Malik, A., & Sabar, W. (2024). Price fluctuations and market integration of fresh skipjack tuna in Indonesia. Journal of Socioeconomics and Development, 7(1), 1–13.
Raju, S. S., Narayankumar, R., Ghosh, S., Pattnaik, P., & Roul, S. K. (2022). Economic performance of marine fishing operations in the state of Odisha, India. Indian Journal of Fisheries, 69(2). https://doi.org/10.21077/ijf.2022.69.2.105032-13
Ramadan, M. A., Fausayana, I., & Rianse, I. S. (2024). Faktor-faktor yang mempengaruhi permintaan ikan cakalang (Katsuwonus pelamis) di Pasar Wameo Kecamatan Batupoaro Kota Baubau. Jurnal AGRIBISNIS, 10(2), 25–38.
Rubianti, N. A. (2023). Pengaruh karakteristik WPP 712 dan WPP 714 terhadap PDB perikanan dan produksi perikanan tangkap. Costing: Journal of Economic, Business and Accounting, 7(1), 2335–2346.
Syakib, M., & Handiani, D. N. (2023). Identifikasi zona penangkapan ikan cakalang di Indonesia Timur berdasarkan data satelit di tahun 2022. Prosiding FTSP Series, 1097–1102.
Yapanto, L. M., Paramata, A. R., & Gumulu, T. H. (2021). Sistem pemasaran ikan cakalang di Tempat Pelelangan Ikan TPI Desa Katialada Provinsi Gorontalo. Aksara: Jurnal Ilmu Pendidikan Nonformal, 7(2), 233–238.
Zainuddin, M., Farhum, A., Safruddin, S., Selamat, M. B., Sudirman, S., Nurdin, N., & Saitoh, S. I. (2017). Detection of pelagic habitat hotspots for skipjack tuna in the Gulf of Bone-Flores Sea, southwestern Coral Triangle tuna, Indonesia. PLoS ONE, 12(10), 0185601.
Published
2026-10-12
How to Cite
Lestari, L., Bafadal, A., & Rosmawaty, R. (2026). Analysis of Factors Affecting the Price of Skipjack Tuna (Katsuwonus pelamis) at the Fishermen Level at the Sodohoa Fish Auction Market (PPI) in Kendari City. International Journal of Technology and Education Research, 4(04), 77-87. https://doi.org/10.63922/ijeter.v4i04.6500