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All Journal Jurnal Teknologi Perikanan dan Kelautan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Daud, Anton
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Agriculture, Biological Sciences & Forestry Computer Science & IT Education Engineering Library & Information Science

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APPLICATION OF INVERSE DISTANCE WEIGHTED (IDW) INTERPOLATION IN DETERMINING WAVE HEIGHT IN THE WATERS OF THE SUNDA STRAIT: PENERAPAN INTERPOLASI INVERSE DISTANCE WEIGHTED (IDW) DALAM MENENTUKAN TINGGI GELOMBANG LAUT DI PERAIRAN SELAT SUNDA Arifin, Willdan Aprizal; Daud, Anton; Maulsyid, Ramzan Pradana; Maulidia, Raisa; Handyanto, Lukman; Sutrisno, Rifki Andreana
Jurnal Teknologi Perikanan dan Kelautan Vol. 16 No. 3 (2025): AUGUST 2025
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.16.268-281

Abstract

The Sunda Strait is one of the busiest transportation routes in Indonesia, which has great potential in the fields of shipping, fisheries, and tourism. In addition to its potential, the Sunda Strait is also faced with challenges in the form of high wave risks that can jeopardize safety and disrupt the smooth running of maritime activities. The availability of wave data is an important aspect in maintaining safety and maritime activities. This research aims to visualize Inverse Distance Weighted (IDW) interpolation of wave height to provide more accurate and detailed information in the waters of the Sunda Strait for the benefit of the maritime sector. In this study, the IDW method was applied to wind data at three Automatic Weather Stations (AWS) points around the Sunda Strait region. Before the application of IDW, the Delaunay Triangulation method was used to ensure the optimization of sample points used to perform interpolation. The results showed that the significant wave height tended to be higher in the southwest monsoon than in the northeast monsoon. During the observation period 2022-2024, the maximum significant wave height was recorded at 2.06 meters, and the minimum one was close to zero. The application of the IDW method successfully visualizes the spatial distribution of wave height in detail, thereby supporting decision-making in risk mitigation and shipping safety in the Sunda Strait.
Weather and Marine Multi-output Prediction Using XGBoost on Automatic Weather Station Data Arifin, Willdan Aprizal; Anzani, Luthfi; Ma'ruf, M; Daud, Anton; Handyanto, Lukman; Maulidia, Raisa; Maulsyid, Ramzan Pradana; Fadzar, Angga
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April - In progress
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7031

Abstract

Climate change on a global scale has triggered an increase in sea levels and heightened the frequency of extreme weather events, especially in maritime countries such as Indonesia. These conditions necessitate the development of accurate and adaptive weather and marine prediction systems. This study proposes a multi-output prediction model using the eXtreme Gradient Boosting (XGBoost) algorithm based on BMKG's Automatic Weather Station (AWS) data from the BMKG. The data cover the period 2022-2025 with high temporal resolution and include five main parameters: wind speed, water level, water temperature, relative humidity, and wind direction. The hyperparameter tuning process led to the discovery of an optimal configuration capable of enhancing the model's accuracy. The evaluation results of the coefficient of determination (R²) and Root Mean Squared Error (RMSE) metrics show that the model can predict water temperature, water level, and relative humidity with very high accuracy, which is more than 85 percent. The model also performed well in predicting wind speed, although it still faced difficulties in handling wind direction due to its cyclical nature. Overall, the XGBoost approach proved effective in modeling weather and marine parameters simultaneously and has the potential to be integrated into environmental monitoring systems in Indonesia's coastal and archipelagic regions.
Co-Authors Anzani, Luthfi Fadzar, Angga Handyanto, Lukman Ma'ruf, M Maulidia, Raisa Maulsyid, Ramzan Pradana Sutrisno, Rifki Andreana Willdan Aprizal Arifin