Analisis Faktor-Faktor Yang Mempengaruhi Partisipasi Nelayan Dalam Asuransi Nelayan Mandiri di Kabupaten Pasuruan Menggunakan Regresi Logistik Biner

Salsabila, Thalia Rizki (2024) Analisis Faktor-Faktor Yang Mempengaruhi Partisipasi Nelayan Dalam Asuransi Nelayan Mandiri di Kabupaten Pasuruan Menggunakan Regresi Logistik Biner. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Indonesia merupakan negara kepulauan dengan luas total perairan sebesar 6,4 juta km² sehingga memiliki potensi kelautan dan perikanan yang sangat besar. Berdasarkan konvensi International Labour Organitation (ILO) Nomor 188 tahun 2007 menyebutkan bahwa pekerjaan dibidang perikanan dan kelautan, khususnya penangkapan ikan sebagai jenis yang berbahaya dibandingkan dengan jenis pekerjaan lainnya. Salah satu upaya pemerintah untuk meningatkan perlindungan nelayan yaitu melalui program BPAN dan asuransi nelayan mandiri. Salah satu daerah yang mengikuti program BPAN dan asuransi nelayan mandiri adalah Kabupaten Pasuruan. Pada penilitian ini, data yang digunakan meliputi data primer dan data sekunder. Data primer yaitu data yang didapatkan dari hasil survey langsung dan pengisian kuesioner oleh nelayan di Kecamatan Lekok, Kabupaten Pasuruan sedangkan data sekunder berupa data jumlah nelayan di Kecamatan Lekok, Kabupaten Pasuruan dari Dinas Perikanan Kabupaten Pasuruan. Data terdiri dari 1 variabel respon yaitu kepemilikan asuransi nelayan dan 10 variabel prediktor diantaranya usia, tingkat pendidikan, pendapatan, jumlah tanggungan keluarga, pengalaman kerja, durasi melaut, kesehatan, keikutsertaan sosialisasi, status kepemilikan kapal, serta jumlah kapal. Pertimbangan digunakannya analisis regresi logistik biner adalah agar mengetahui variabel-variabel yang signifikan terhadap variabel respon yangbersifat dikotomus. Data terdiri dari 100 responden yang telah mengisi kuesioner. Berdasarkan hasil penelitian, dari 100 responden terdapat 52 responden yang memiliki asuransi nelayan mandiri dan 48 responden yang tidak memiliki asuransi nelayan mandiri. Pada pemodelan regresi logistik biner diperoleh variabel yang berpengaruh signifikan terhadap kepemilikan dengan keluarga, durasi melaut, dan keikutsertaan sosialisasi. Ketepatan klasifikasi yang didapatkan sebesar 89%.
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Indonesia is an archipelagic country with a total water area of 6.4 million km², so it has enormous marine and fisheries potential. Based on the International Labor Organization (ILO) convention Number 188 of 2007, it is stated that work in the fisheries and maritime sector, especially fishing, is a dangerous type of work compared to other types of work. One of the government's efforts to remind fishermen of protection is through the BPAN program and independent fishermen insurance. One of the areas that participates in the BPAN program and independent fishermen insurance is Pasuruan Regency. In this research, the data used includes primary data and secondary data. Primary data is data obtained from the results of direct surveys and filling out questionnaires by fishermen in Lekok District, Pasuruan Regency, while secondary data is data on the number of fishermen in Lekok District, Pasuruan Regency from the Pasuruan Regency Fisheries Service. The data consists of 1 response variable, namely fishermen's insurance ownership and 10 predictor variables including age, education level, income, number of family dependents, work experience, duration of fishing, health, socialization participation, ship ownership status, and number of ships. The consideration used in binary logistic regression analysis is to determine the variables that are significant to the dichotomous response variable. The data consists of 100 respondents who have filled out the questionnaire. The accuracy of the classification used is 10%. Based on the research results, out of 100 respondents there were 52 respondents who had independent fishermen's insurance and 48 respondents who did not have independent fishermen's insurance. In binary logistic regression modeling, it was found that the variables that had a significant influence on fishermen's insurance ownership were the number of family dependents, duration of fishing, and participation in socialization.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Asuransi Nelayan Mandiri, Odds Ratio, Regresi Logistik Biner, Binary Logistic Regression, Independent Fisherman Insurance, Odds Ratio
Subjects:	Q Science Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
Divisions:	Faculty of Mathematics, Computation, and Data Science > Actuaria > 94203-(S1) Undergraduate Thesis
Depositing User:	Thalia Rizki Salsabila
Date Deposited:	05 Feb 2024 02:12
Last Modified:	05 Feb 2024 02:12
URI:	http://repository.its.ac.id/id/eprint/106064

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