Wind Wave Prediction By Using Autoregressive Integrated Moving Average Model : Case Study In Jakarta Bay
M. ALIF RIZAL YONANTA AR.

Informasi Umum

Kode

19.04.4437

Klasifikasi

C -

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Time Series Analysis

Dilihat

183 kali

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Abstraksi

Prediction of wind wave is highly needed to support safe navigation, especially for ship. Besides that, loading and unloading activities in a harbour, as well as for design purpose of coastal and offshore structures, data of prediction of wave height are needed. Based on its nature, the wind wave has random behaviour that is highly depending on behaviour of wind as the main driving force. In this paper, we propose a prediction method for wind wave by using Autoregressive Integrated Moving Average or ARIMA. To obtain historical data of wind wave, we perform wave simulation by using a phase-averaged wave model SWAN (Simulating Wave Near Shore). From the simulation, time series of wind wave is obtained. The prediction of wind wave is performed to calculate forecast of 24 hours ahead. Here, we perform wind wave prediction in a location in Jakarta Bay, Indonesia. We perform several combination of ARIMA model to obtain best fit model for wind wave prediction in the location in Jakarta Bay. Results of prediction show that ARIMA model give an accurate prediction especially for short term prediction.

• CSH3H2 - DASAR PEMODELAN DAN SIMULASI
• CIG4C3 - EVOLUTIONARY COMPUTATION
• FI1113 - FISIKA I
• FI1123 - FISIKA II
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• DU1203 - PENGANTAR ILMU DAN TEKNOLOGI
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• MA2513 - PROBABILITAS DAN STATISTIKA
• CS3113 - TEORI KOMPUTASI
• CCH4D4 - TUGAS AKHIR
• CII4A2 - PENULISAN PROPOSAL
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• CPI4A2 - PENULISAN PROPOSAL
• III4A4 - TUGAS AKHIR
• TTI6C3 - METODOLOGI PENELITIAN
• CII9G6 - PROPOSAL PENELITIAN
• CII9A3 - FILSAFAT DAN METODOLOGI PENELITIAN

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