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Riset Kompetitif LIPI Dataverse (LIPI)
Pengembangan aplikasi prakiraan pasang surut air laut di Perairan Kepulauan Bangka Belitung
Version 1.0
Khotimah, Purnomo Husnul, 2018, "Pengembangan aplikasi prakiraan pasang surut air laut di Perairan Kepulauan Bangka Belitung", https://hdl.handle.net/20.500.12690/RIN/6Z1PIW, RIN Dataverse, V1
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Description
Perubahan iklim yang sedang terjadi saat ini menyebabkan permukaan air laut semakin meningkat. Kondisi ini mengancam kehidupan di daratan, terutama di daerah-daerah pesisir yang garis pantainya semakin lama bergeser ke daratan. Provinsi Kepulauan Bangka Belitung (Babel) mempunyai potensi kelautan yang besar, dimana sektor pariwisata kelautannya memberikan kontribusi Produk Domestik Regional Bruto (PDRB) sebesar 31,49%. Untuk mengelola potensi ini, Dinas Kelautan dan Perikanan Provinsi Kepulauan Babel mendirikan Babel Ocean Observation Science and Technology (BOOST) Center dan telah memiliki sistem pemantauan kondisi laut yang dilengkapi dengan beberapa stasiun pemantau. Kegiatan penelitian ini bertujuan mengembangkan aplikasi prakiraan pasang surut air laut berbasis open source untuk mendukung kegiatan perekonomian kelautan di Provinsi Kepulauan Babel. Metode prakiraan yang diterapkan adalah menggunakan analisis harmonik dengan metode Admiralty (Harmonic Analysis by the Method of Admiralty-HAMA). Metode Admiralty dapat digunakan untuk meramalkan kondisi pasang surut air laut dalam rentang waktu yang pendek. Hal tersebut sesuai dengan kebutuhan BOOST Center. Pada tahap pertama (tahun 2011) kegiatan ini telah menghasilkan model perhitungan HAMA berorientasi objek dan simulasi prakiraan pasang surut berbasis web. Hasil dari simulasi prakiraan pasut untuk bulan April 2011 (2 April s.d. 20 April 2011) dengan data HAMA 29 hari bulan Februari 2011 diperoleh nilai validitas sebesar 84,9%. Perbedaan yang terjadi antara kedua data tersebut bisa dikarenakan faktor cuaca pada kondisi sesungguhnya. Berdasarkan plot data ke dalam bentuk grafik diketahui pola hasil prakiraan mendekati pola data pasang surut sesungguhnya. Aplikasi simulasi pasut mampu menyederhanakan langkah-langkah operasional operator BOOST dalam pegolahan data pasut, yaitu dari 5 langkah (langkah ke-7 s.d. langkah ke-11) menjadi 1 langkah yaitu mengisi form pengisian aplikasi simulasi prakiraan pasut. Pada tahap kedua (tahun 2012) telah dilakukan pengembangan Sistem Aplikasi Prakiraaan Pasang Surut (SiAPPS) untuk BOOST Centre berbasis web. Platform yang digunakan dalam pengembangan aplikasi ini adalah server web Apache, bahasa pemrograman PHP dan AJAX, dan Relational Database Management System (RDBMS) PostgreSQL. Pola desain yang digunakan adalah pola desain Model, View, dan Controller (MVC). (2012)
Subject Computer and Information Science
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