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All Journal Jurnal Teknologi Perikanan dan Kelautan TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Handyanto, Lukman
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education 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): AGUSTUS 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.
Penerapan Augmented Reality pada WebGIS Zona Penangkapan Ikan Tongkol di Pulau Panjang Vera Anggraini; Maulsyid, Ramzan Pradana; Handyanto, Lukman; Khairiyah, Nuril; Azizah, Haruni Najla; Firmansyah, Bagus; Hafazah, Najwa Nur
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

Mackerel tuna (Euthynnus affinis) is a commodity with a high production rate in Banten Bay. Panjang Island, which is geographically located in the waters of Banten Bay, is a potential area for supporting sustainable tuna production. Market demand for this fish continues to grow, yet the lack of precise fishing zone data hampers resource optimization. The WebGIS system was developed to provide potential information on fishing zones for tuna around Panjang Island. Oceanographic data such as sea surface temperature and chlorophyll-a concentration were utilized to predict high-probability areas. This system features GPS-based augmented reality to guide fishers in real time to their targeted locations. Interactive and accurate information presentation facilitates decision-making for fishers. The implementation of this technology enhances fisher productivity while promoting sustainable fishery management. The potential of WebGIS technology offers significant opportunities for advancing Indonesia’s modern fishery sector, particularly for the coastal communities of Panjang Island.
Co-Authors Azizah, Haruni Najla Bagus Firmansyah, Bagus Daud, Anton Hafazah, Najwa Nur Khairiyah, Nuril Maulidia, Raisa Maulsyid, Ramzan Pradana Sutrisno, Rifki Andreana Vera Anggraini