Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Lingkungan Jurnal Kelautan : Indonesian Journal of Marine Science and Technology
Nani Nagu
Civil Engineering Department, Engineering Faculty, Universitas Khairun
Environmental Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Wave-generated Forecast in Weda Bay, Central Halmahera, Based on Wind and Satellite Data Jesikha Dwi Aprilia; Mohammad Ridwan Lessy; Nani Nagu
Jurnal Kelautan Vol 18, No 3: Desember (2025)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jk.v18i3.31688

Abstract

ABSTRACTOcean waves are an important oceanographic parameter to analyse due to their role in ocean circulation, marine transportation, and coastal management. This research focused on forecasting the height and duration of significant waves in the Weda Bay, utilizing wind data from meteorological stations and altimetry satellite data. The data utilized comprised maximum wind speed and direction records spanning ten years, from 2011 to 2021, collected from two meteorological stations: Baabullah Station in Ternate and Gamar Malamo in Galela. Simultaneously, AVISIO Altimetry satellite data is retrieved from a website that aligns with the temporal measurement range of meteorological station data. The analysis phase initiates with wind speed correction, effective fetch calculation, and high and periodic wave forecasting utilizing Excel software, while satellite data is examined using ArcGIS software. The prediction results for wave height and period indicate that data from the Baabullah station show a significant wave height ranging from 0.00 to 2.33 meters and a significant wave period from 0.09 to 5.07 seconds. In contrast, data from the Gamar Malamo station reveal a significant wave height ranging from 0.02 to 4.28 meters and a significant wave period from 0.20 to 6.85 seconds.  The study indicates that BMKG and satellite data produce consistent wave height calculationsKeywords: Wave Forecasting, Sea Waves, Weda Bay, Altimetry Satellite
Disaster Management on Small Islands; Lessons from Flash Flood Disaster in Rua Village, Ternate Island, Indonesia Mohammad Ridwan Lessy; Nani Nagu; Kalpin Nur
Jurnal Ilmu Lingkungan Vol 23, No 3 (2025): May 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.3.730-741

Abstract

Small islands have been identified as regions that exhibit susceptibility to natural disasters and the impacts of climate change. This arises from a multitude of constraints, such as limited size, geographical isolation, high population density, closeness to the ocean, and reliance on natural resources. The recurrent flash flood calamities on Ternate Island underscore the deficiencies in disaster management strategies for smaller islands. It is imperative to enhance disaster management on small islands, particularly in light of the anticipated escalation in the severity of disasters in the future. This study examines the underlying factors contributing to the flash floods in Rua Village, Ternate Island, as well as assessing the effectiveness of disaster management strategies implemented on Ternate Island. Through the application of both qualitative and quantitative research methodologies, we meticulously examined the gathered data and represented it in a thematic map. The findings of the study indicated that elements such as precipitation, topography, and river dynamics, along with the properties of rock composition, soil stability, and soil movement characteristics, contribute to the occurrence of flash floods in Rua Village. Moreover, inadequate disaster management challenges all stakeholders in Ternate who are striving to establish a resilient society to disasters.
Co-Authors Jesikha Dwi Aprilia Kalpin Nur Mohammad Ridwan Lessy Mohammad Ridwan Lessy