BEST FIT MODEL SOSIOEKONOMI SUMBERDAYA KERANG DI TAMAN NASIONAL SEMBILANG KABUPATEN BANYUASIN SUMATERA SELATAN

SIMANJUNTAK, ANDESSYA YOHANA and Agustriani, Fitri and Fauziyah, Fauziyah (2022) BEST FIT MODEL SOSIOEKONOMI SUMBERDAYA KERANG DI TAMAN NASIONAL SEMBILANG KABUPATEN BANYUASIN SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

Sembilang National Park area has resources of blood clams (Anadara granosa). Catching Anadara granosa is done traditionally by using hands at low tide. To maintain shellfish resources, it is necessary to analyze the calculation of factors that affect socio-economic catches. The purpose of this study is to calculate and analyze the factors that influence and determine the best fit model for the socioeconomic shellfish resources in Sembilang National Park. This research was conducted in February 2022 in the waters of the Sembilang National Park. Determination of the number of respondents and data collection in this study using the method of accidental sampling and data collection is done by interview using a questionnaire. The model assumption test includes normality test, linearity test, multicollinearity test, heteroscedasticity test and autocorrelation test. The best model (best fit model) uses multiple linear regression equation approach with backward analysis regression method, namely Y = -1456.315 + 0.116X1 + 1.514 X2 + 2.547 X3 - 12,558 X 7 + . Factors that influence the amount of shellfish catches in the Sembilang National Park, Banyuasin Regency, namely the selling price of shellfish, operating costs, income and number of dependents.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sumberdaya kerang, model, Taman Nasional Sembilang, Sosioekonomi
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q337.3 Swarm intelligence. Big data -- Social aspects. Information technology -- Economic aspects.
Divisions:	08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1)
Depositing User:	Andessya Yohana Simanjuntak
Date Deposited:	03 Nov 2022 06:53
Last Modified:	03 Nov 2022 06:53
URI:	http://repository.unsri.ac.id/id/eprint/81321

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