The Influence of Costs, Long at Sea and Prices on Fishermen's Income in Alor District

Junius Menase Sau Sabu, Maryanti Sofyan

Abstract


The purpose of this study was to determine the effect of cost, duration of fishing and price on income. The methodology of this research is multiple linear regression with quantitative methods and uses primary data with data collection techniques: observation, interviews, questionnaires and literature study. The data is then processed with the help of SPSS 25. The analysis technique is preliminary analysis, namely: descriptive statistics, instrument tests and classical assumption tests, then followed by further analysis, namely analysis of the coefficient of determination and hypothesis testing, namely t-test and F-test. The results of this study are: ( 1) Partially, costs have an effect on income with a significance value of 3.5% < 5%. (2) Partially the length of time at sea has an effect on income with a significance value of 0% < 5%. (3) Partially the price has an effect on income with a significance value of 0% < 5%. (4) Simultaneously cost, length of fishing and price affect income with a significance value of 0% < 5%. The conclusions of this study are: 1) the results of the study accept H1, H2, H3 and H4.

Keywords


Cost; Length of Sea; Price; Income

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References


Alor In Numbers. 2017. Central Bureau of Statistics of Alor Regency.

Asmita, et al. 2019. Analysis of the Factors Affecting the Income of Captured Fishermen in Galesong Village, Galesong District, Takalar Regency,'' Thesis: Development Economics Study Program, Faculty of Economics, Makassar State University.

File:///F:/my%document/task%20document/file:///F:/my%20Document/task%20University/Kabupaten%20Alor%20In%20Angka%202017.pdf.

http://repository.radenintan.ac.id/7763/1/Skripsi%20Full.pdf.

http://publikasi.mercubuana.ac.id/index.php/jurnal_MIX

I Ghozali,. (2018). Applications of Multivariate Analysis SPSS 25 (9th ed.). Semarang: Diponegoro University.

Friday.2017. Financial Statement Analysis. Jakarta: Earth Literacy.

Nugroho. 2017 Analysis of Factors Affecting Fishermen's Income Results in Bendar Village, Juwana District, Pati Regency,'' thesis: Faculty of Economics, majoring in economics, Islamic University of Indonesia, Islamic University of Indonesia.

Rahim, et al. 2018. The Effect of Time at Sea, Strength of Outboard Engines and Characteristics of Respondents on Fishermen's Income in Takalar Regency. Journal of Socio-Economic and Agricultural Policy. Vol. 2, No. 1.

Erwin Dian's blessing. 2019 Analysis of Factors Affecting Fishermen's Income in Kedungrejo Village, Muncar District, Banyuwangi Regency,'' Thesis : Department of Economics, Faculty of Economics and Business, Universitas Brawijaya Malang 2019.

Sari Herliana. 2018. Analysis of Factors Affecting Fishermen's Income in Bawalipu Village, Wotu District, East Luwu Regency'' Faculty of Islamic Business Economics, Department of Sharia EconomicsIain Palopo 2018.

Templates. 2022. MIX 2022 template, Scientific Journal of Management. Mercubuana University.

Wancung S Dodista. 2020 Analysis of the Influence of Product Quality, Price and Promotion on Purchase Decisions for Minimalist Window Trellis at the Akul Bungawaru Workshop, Kalabahi City, Alor Regency,'' thesis: Management Study Program, Faculty of Economics, Tribuana Kalabahi University 2020.

Wardiyah Mia Lasmi. 2017. Analysis of Financial Statements. Bandung: CV. LOYAL LIBRARY. ISBN: 978-979-076-676-1.




DOI: http://dx.doi.org/10.22441/jimb.v8i3.15616

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