ANALISIS KESEJAHTERAAN SOSIAL EKONOMI NELAYAN DENGAN METODE AHP SMART DI PANGKALAN PENDARATAN IKAN CITUIS

    Nur Mulia Azzukhrufadn, - (2024) ANALISIS KESEJAHTERAAN SOSIAL EKONOMI NELAYAN DENGAN METODE AHP SMART DI PANGKALAN PENDARATAN IKAN CITUIS. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Indonesia memiliki potensi hasil tangkapan laut yang melimpah, dengan sumber daya yang tercatat mencapai 12,01 juta ton. Namun, potensi tersebut belum berbanding lurus dengan kesejahteraan nelayan, sebagian besar di antaranya berada dalam kategori masyarakat miskin mencapai 31,02 juta jiwa. Desa Suryabahari, yang terletak di wilayah pesisir dengan PPI Cituis, merupakan salah satu contoh di mana nelayan mengalami pendapatan yang rendah dibandingkan UMR (Upah Minimum Regional) Kabupaten Tangerang. Penelitian ini bertujuan untuk menganalisis kesejahteraan sosial dan ekonomi nelayan di PPI (Pangkalan Pendaratan Ikan) Cituis menggunakan metode AHP (Analytical Hierarchy Process) dan SMART (Simple Multi Attribute Rating Technique). Metode AHP digunakan untuk menentukan bobot pada setiap kriteria, sedangkan metode SMART digunakan untuk perangkingan sampel nelayan. Pengambilan sampel dilakukan dengan metode snowball sampling, yang merupakan teknik nonprobability sampling. Indikator yang dianalisis mencakup aspek sosial dan ekonomi seperti pendidikan, tempat tinggal, sumber pemasukan, kesehatan, status sosial, pendapatan, pengeluaran, modal usaha, tanggungan, dan hasil tangkapan. Hasil penelitian menunjukkan bahwa kriteria yang mempengaruhi kesejahteraan nelayan utama ialah pengeluaran, status, dan kesehatan. Hasil perhitungan AHP dinyatakan konsisten dengan nilai CR (Consistency Ratio) sebesar 0,085, yang berada di bawah batas 0,1 (10%). Metode SMART mendapatkan hasil perangkingan sampel A18 di peringkat pertama dengan nilai akhir 0,60, sedangkan sampel A30 berada di posisi terakhir dengan nilai akhir 0,09. Perhitungan AHP dan SMART diimplementasikan dalam bentuk pemrograman website untuk meningkatkan efektivitas dan efisiensi proses perhitungan. Indonesia has abundant marine fishery potential, with recorded resources reaching 12.01 million tons. However, this potential has not yet been reflected in the welfare of fishermen, most of whom remain in the poverty category, with up to 31.02 million people living in poverty. Suryabahari Village, located in the coastal area near PPI Cituis, is an example where fishermen experience incomes lower than the regional minimum wage (UMR) of Tangerang Regency. This study aims to analyze the social and economic welfare of fishermen in PPI Cituis using the AHP (Analytical Hierarchy Process) and SMART (Simple Multi Attribute Rating Technique) methods. The AHP method is applied to determine the weighting of each criterion, while the SMART method is used to rank the fishermen samples. Sampling was conducted using the snowball sampling method, which is a nonprobability sampling technique. The indicators analyzed include social and economic aspects such as education, housing, income sources, health, social status, income, expenditures, business capital, dependents, and catch yields. The study results show that the key criteria affecting fishermen’s welfare are expenditures, status, and health. The AHP calculation results were consistent, with a CR (Consistency Ratio) value of 0.085, which is below the 0.1 (10%) threshold. The SMART method ranked sample A18 in the first place with a final score of 0.60, while sample A30 ranked last with a final score of 0.09. The AHP and SMART calculations were implemented into a web-based application to improve the efficiency and effectiveness of the calculation process.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Uncontrolled Keywords: AHP, Kesejahteraan, Nelayan, PPI Cituis, SMART AHP, Welfare, Fishermen, PPI Cituis, SMART
    Subjects: L Education > L Education (General)
    Depositing User: Nur Mulia Azzukhrufadn
    Date Deposited: 16 Jun 2025 04:24
    Last Modified: 16 Jun 2025 04:24
    URI: http://repository.upi.edu/id/eprint/126630

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