MODEL PREDIKSI PRODUKSI RUMPUT LAUT Eucheuma cottonii DI DESA LONTAR MENGGUNAKAN SUPPORT VECTOR REGRESSION

    Nabila Tufailah, - (2024) MODEL PREDIKSI PRODUKSI RUMPUT LAUT Eucheuma cottonii DI DESA LONTAR MENGGUNAKAN SUPPORT VECTOR REGRESSION. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Desa Lontar, Kecamatan Tirtayasa, Kabupaten Serang merupakan salah satu wilayah budidaya rumput laut Eucheuma cottonii yang sangat subur di Provinsi Banten. Faktor-faktor yang mempengaruhi pertumbuhan Eucheuma cottonii antara lain oseanografi, iklim, dan modal. Prediksi total produksi rumput laut hanya dihitung berdasarkan perkiraan petani sehingga tidak ada standar keakuratan. Penelitian prediksi total produksi rumput laut Eucheuma cottonii masih jarang dilakukan. Urgensi penelitian ini memperkenalkan pendekatan baru untuk memprediksi total produksi rumput laut menggunakan SVR kemudian diimplementasikan ke dalam situs web prediksi. Selain itu, penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi total produksi rumput laut Eucheuma cottonii. Variabel yang digunakan dalam penelitian ini yaitu tahun, bulan, arus, salinitas, suhu, dan modal. Melihat data yang memiliki pola tren dan tidak berdistribusi normal, SVR cocok untuk membuat prediksi serta memiliki nilai akurasi yang tinggi. Hasil korelasi rank spearman menunjukan nilai korelasi sangat lemah dan sangat kuat yaitu salinitas sebesar 0,023 dan modal sebesar 0,91. Tinggi rendahnya salinitas dipengaruhi oleh berbagai faktor seperti arus, musim, dan variasi data. Modal berkaitan dengan ketersediaan biaya untuk merawat rumput laut Eucheuma cottonii agar terhindar dari penyakit, gulma, dan berbagai faktor yang dapat menurunkan total produksi. Rumput laut Eucheuma cottonii di Desa Lontar dapat tumbuh subur pada Desember – Agustus dan mengalami penurunan produksi pada September – November. Model yang tepat untuk melangsungkan proses ini yaitu kernel RBF. Diperoleh RMSE sebesar 0,66 dan MAPE sebesar 4,87%. Situs web dibangun menggunakan python dan framework Flask. Situs web ditujukan untuk petani rumput laut Eucheuma cottonii Desa Lontar dan akademisi.

    Lontar Village, Tirtayasa District, Serang Regency is one of the very fertile Eucheuma cottonii seaweed cultivation areas in Banten Province. Factors that affect the growth of Eucheuma cottonii include oceanography, climate, and capital. The prediction of total seaweed production is only calculated based on the farmer's estimate so there is no standard of accuracy. Research to predict the total production of Eucheuma cottonii seaweed is still rare. The urgency of this research introduces a new approach to predict total seaweed production using SVR then implemented into the prediction website. In addition, this study aims to find out the factors that affect the total production of Eucheuma cottonii seaweed. The variables used in this study are year, month, current, salinity, temperature, and capital. Looking at data that has a trend pattern and is not normally distributed, SVR is suitable for making predictions and has a high accuracy value. The results of the spearman rank correlation show that the correlation value is very weak and very strong, namely salinity of 0.023 and capital of 0.91. The high and low salinity is influenced by various factors such as current, season, and data variation. Capital is related to the availability of costs to care for Eucheuma cottonii seaweed to avoid diseases, weeds, and various factors that can reduce total production. Eucheuma cottonii seaweed in Lontar Village can thrive in December – August and experience a decrease in production in September – November. The right model to carry out this process is the RBF kernel. RMSE was obtained by 0.66 and MAPE by 4.87%. Build a website using the Flask framework in Python. The website is aimed at Eucheuma cottonii seaweed farmers in Lontar Village and academics.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=en&user=qVYYmEIAAAAJ ID SINTA Dosen Pembimbing: Willdan Aprizal Arifin : 6745746 Ayang Armelita Rosalia : 6721849
    Uncontrolled Keywords: Desa Lontar, Eucheuma Cottonii, Flask, MAPE, RMSE, SVR. Eucheuma cottonii, Flask, Lontar Village, MAPE, RMSE, SVR.
    Subjects: L Education > L Education (General)
    Divisions: UPI Kampus Serang > S1 Sistem Informasi Kelautan
    Depositing User: Nabila Tufailah
    Date Deposited: 26 Sep 2024 02:35
    Last Modified: 26 Sep 2024 02:35
    URI: http://repository.upi.edu/id/eprint/118550

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