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All Journal Jurnal Kelautan Tropis Indonesian Journal of Oceanography
Faizal Ade Rahmahuddin Abdullah
Prodi Matematika Jurusan Matematika FMIPA Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science

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Ketidakseragaman Sebaran Spasial Variabilitas Musiman Eddy di Perairan Barat Laut Indonesia Kartadikaria, Aditya Rakhmat; Napitupulu, Gandhi; Rangga, Kalaka; Radjawane, Ivonne Milichristi; Abdullah, Faizal Ade Rahmahuddin
Jurnal Kelautan Tropis Vol 27, No 1 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i1.20810

Abstract

Sea level anomaly (SLA) data spanning from 1993 – 2022 were used to analyze the characteristic of eddy current in Northwest Indonesian. An improved winding angle method was used and was able to detect 1663 anticyclonic eddies (AEs) and 1748 cyclonic eddies (CEs). The average eddy lifespan is approximately four weeks. The eddy in the West Indonesian Ocean has a radius ranging from 40 – 100 km and a high number of mesoscale eddy (radius more than 100 km) detected in the northern area of West Indonesian Ocean (4° N - 10° N). The eddy kinetic energy (EKE) increased proportionally with their radius, whereas the eddy vorticity decreased proportionally with their increasing radius. The seasonal cycles of eddy circulation in the west Indonesian Ocean were differ for both AEs and CEs, where AEs were dominated during east monsoon season (JJA) and CEs came with longer periods from November to March, yet for both AEs and CEs they have similar radius per month. During weak periods of both eddies, their meridional distributions differ; CEs tend to be formed in relatively lower latitude, while AEs were concentrated in relatively higher latitude. Data anomali permukaan laut/sea level anomaly (SLA) dalam kurun waktu 1993 – 2022 digunakan untuk mempelajari karakteristik sirkulasi arus eddy di perairan barat laut Indonesia. Metode Winding Angles yang telah dimodifikasi mampu mendeteksi 1663 anticyclonic eddies (AE) dan 1748  cyclonic eddies (CE). Rata-rata umur eddy yang terdeteksi adalah sekitar empat minggu. Mayoritas sirkulasi arus eddy memiliki radius 40 – 100 km dan eddy dengan radius berskala meso (lebih dari 100 km) banyak terkonsentrasi di bagian utara (4° N - 10° N) perairan barat laut Indonesia. Nilai energi kinetik eddy (EKE) bertambah sebanding dengan pertambahan radius, sedangkan nilai vortisitas berbanding terbalik dengan radius. Sirkulasi arus eddy di perairan barat laut Indonesia pada musim timur (JJA) didominasi oleh AE , sedangkan CE mendominasi di musim barat (DJF) dengan periode yang lebih panjang dari November hingga Maret, namun dengan rata-rata radius yang sama setiap bulannya. Pada saat periode di mana kejadian eddy minimum, ditemukan perbedaan letak distribusi meridional eddy bervortisitas tinggi yang menunjukkan CE lebih didukung pembentukannya pada lintang yang lebih rendah daripada AE. 
Ocean Wave Modelling in Cempi Bay, West Nusa Tenggara during Northwest and Southeast Monsoon Hidayat, Esa Fajar; Havis, Muchammad Iqbal; Sembiring, Agustinus; Fahlevy, Karizma; Abdullah, Faizal Ade Rahmahuddin
Indonesian Journal of Oceanography Vol 7, No 4 (2025): Indonesian Journal of Oceanography
Publisher : University of Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijoce.v7i4.29242

Abstract

Coastal regions in Indonesia, such as Cempi Bay in West Nusa Tenggara, are strongly influenced by seasonal monsoon systems, which significantly affect wave dynamics and coastal processes. As the Northwest Monsoon (NWM) and Southeast Monsoon (SEM) exert non-uniform effects along Indonesia’s coastline, accurate wave modeling is essential to support coastal management, fisheries, and disaster mitigation in this area. This study applies a numerical wave model driven by monsoonal wind data, supplemented with bathymetry and open-boundary conditions, to simulate and analyze ocean wave characteristics in Cempi Bay during the NWM and SEM periods, focusing on significant wave height ( ) and dominant wave period ( ). Model performance was evaluated using Mean Absolute Percentage Error (MAPE), correlation coefficient ( ), and Root Mean Square Error (RMSE). During NWM,  achieved a MAPE of 15.49%,  = 0.55, and RMSE = 0.19 m, indicating good agreement, while the initial SEM run showed a high MAPE of 42.83% for  that improved to 20.16% after scaling the  input by 79%, reducing the RMSE from 0.48 m to 0.26 m and increasing  from 0.67 to 0.68. Spatial analysis revealed distinct wave propagation patterns between the monsoons and confirmed lower wave energy in the inner part of Cempi Bay, highlighting the importance of capturing seasonal wave variability for effective coastal infrastructure planning and monsoon-adapted management strategies.
Co-Authors Fahlevy, Karizma Hidayat, Esa Fajar Kartadikaria, Aditya Rakhmat Muchammad Iqbal Havis Napitupulu, Gandhi Radjawane, Ivonne Milichristi Rangga, Kalaka Sembiring, Agustinus