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dc.contributor.advisorRauf, Abdul
dc.contributor.advisorSalmiah
dc.contributor.authorNurhidayah, Khairunnisa
dc.date.accessioned2023-10-25T07:53:36Z
dc.date.available2023-10-25T07:53:36Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/88310
dc.description.abstractFishermen are a group of people whose lives depend directly on sea products. Most of them are dominated by the profession of fishermen and are still in poverty. The poverty of fishermen as measured by the lack of wages income for the distribution of clothing, food and boards in the family's responsibility. This study aims to analyze the income distribution of fishermen, the poverty level of fishermen and analyze the factors that influence fishermen's expenditure in Sibolga Selatan District. The research method uses an analysis of the inequality indicator Gini coefficient (Gini Ratio) adjusted to the Lorenz Curve and World Bank criteria, BPS poverty line criteria (2020), Multiple Linear Regression Analysis. The results of the study show that the level of inequality in the income distribution of fishermen according to the Gini coefficient value indicator is in the low category, according to World Bank indicators it is in the low inequality category, according to the BPS poverty line criteria (2020) the proportion of poor fishermen is 3 fishermen according to World Bank criteria as many as 69 fishermen are in the lower middle category and 5 low-income fishermen, fishermen's expenses are influenced by income and number of dependents.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectFishermenen_US
dc.subjectIncomeen_US
dc.subjectPoverty Levelen_US
dc.subjectSDGsen_US
dc.titleAnalisis Distribusi Pendapatan dan Tingkat Kemiskinan Nelayan di Kecamatan Siibolga Selatan Kota Sibolga Sumatera Utaraen_US
dc.typeThesisen_US
dc.identifier.nimNIM207039014
dc.identifier.nidnNIDN0017095908
dc.identifier.nidnNIDN0017025703
dc.identifier.kodeprodiKODEPRODI54101#Agribisnis
dc.description.pages85 Halamanen_US
dc.description.typeTesis Magisteren_US


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