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GEOMORPHOLOGY OF SMALL ISLANDS AND ITS SEAFLOOR PROFILES IN THE EASTERN AND WESTERN HALMAHERA WATERS Abdul Motalib Angkotasan; Dietriech G Bengen; I Wayan Nurjaya; Neviaty P Zamani; Nyoman M.N Natih; Franto Novico
BULLETIN OF THE MARINE GEOLOGY Vol 37, No 2 (2022)
Publisher : Marine Geological Institute of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32693/bomg.37.2.2022.774

Abstract

The geomorphology of small islands in the eastern and western parts of Halmahera Island encompasses diversities of geological processes, island forms and types, and topography. The typology of the small islands to the west of Halmahera Island is volcanic and are categorized as hilly islands. To the east, there are coral islands classified as flat islands with smaller area contrast to volcanic ones. This study aims to analyze the land mass elevation of the small islands and the sub-bottom profiles in the eastern and western Halmahera waters. Island elevation data was obtained from Sentinel-2B imagery, whereas seafloor topographic data was acquired from direct field measurements using a GPS sounder. First, the image data underwent atmospheric, radiometric, and sunlight corrections, while the actual depth was estimated through bathymetry correction using tidal data. Then, QGIS version 3.16.6 and ArcGIS version 10.8 were used to analyze the data. The results show that the slope degree of volcanic islands is higher and their seafloor topography is steeper than that of coral islands. The slope degree of Ternate, Maitara, Tidore, and Hiri Islands, abbreviated as Termadoreh, is more than 30o with elevation of more than 100 meters, characterizing hilly islands. While there is only Pakal Island in Buli Bay that has a slope of 33o and the highest elevation of only 100 meters, it is nevertheless considered a flat island. Significantly, the different typologies indicate different morphogenesis and sub-bottom topography; i.e., volcanic islands have higher slope degrees and steeper seafloor profiles compared to coral islands.
CHARACTERIZATION OF BIOACTIVE COMPOUNDS OF PORTUGUESE OYSTER Crassostrea angulata FROM BATU KARAS ESTUARY Puji Hastuti Kusumawati; Neviaty P Zamani; Dedi Soedharma; Nurjanah Nurjanah
AQUASAINS Vol 11, No 2 (2023)
Publisher : Jurusan Perikanan dan Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/aqs.v11i2.p1247 - 1250

Abstract

Portuguese oyster C. angulata is one of the potential source of bioactive compounds from estuary in Indonesia, especially from Batu Karas Village Pangandaran District.  The aims of this research were to explore and characterize the bioactive compounds of the estuary oyster.  The oyster separated from the shell, and then extracted in ethanol solvent with orbital maseration method in 24 hours.  After filtration and evaporation, bioactive extract were characterized with qualitative phytochemical method.  The extraction resulted 3.42% yield.  Bioactive compound of the oyster has phytochemical characters, respectively, alkaloid, flavonoid, and fenol hidroquinon positives.  The oyster bioactive compounds need to characterize with quantitative method, and biological activityies analysis futher more.Keywords: cupped oysters, secondary metabolites
Keragaman genetik ikan tuna sirip kuning (Thunnus albacares) dari dua populasi di Laut Maluku, Indonesia Nebuchadnezzar Akbar; Neviaty P Zamani; Hawis H Madduppa
Depik Vol 3, No 1 (2014): April 2014
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.402 KB) | DOI: 10.13170/depik.3.1.1304

Abstract

Abstract. Yellowfin tuna (Thunnus albacores) is a large, pelagic, and migratory species of tuna that inhabits Moluccas Sea in Indonesia, and most sea environment worldwide. However, high fishing activities tend to happen in the Indonesia region and catch product appear to be decreasing. A better understanding of yellowfin tuna genetic diversity is required to plan better conservation strategy of tuna. The study was conducted to infer the genetic diversity of yellowfin tuna (T. albacores) in the Moluccas Sea. A total of 41 tissue samples of yellowfin tuna were collected from two regions in the Moluccas Sea (North Moluccas and Ambon) during an expedition in February 2013. The results showed that genetic diversity and nucleotide diversity of yellowfin tuna from North Moluccas population was 0.984 and 0.021, respectively; while in Ambon population, the genetic and nucleotide diversities were 1.00 and 0.018, respectively. The high genetic diversity (0.990) and nucleotide diversity (0.020) between two populations were observed. Based on phylogenetic analysis, no genetic differentiation between the two populations in Moluccas Sea was revealed .Keywords :  Population genetics; Haplotype diversity; Coral Triangle; Phylogenetics; Polymerase Chain Reactions (PCRs) Abstrak. Tuna sirip kuning (Thunnus albacores) adalah ikan komersial penting dan ditemukan di Laut Maluku, Indonesia. Tetapi, aktivitas penangkapan ikan tuna sirip kuning dapat menurunkan kualitas dan kuantitas stok ikan, sehingga perlu adanya pengkajian keragaman genetik ikan tuna sirip kuning. Pemahaman yang baik tentang keragaman genetika dibutuhkan untuk merencanakan strategi konservasi tuna yang lebih baik. Penelitian ini bertujuan untuk mengetahui keragaman genetik  ikan tuna sirip kuning dari dua populasi di Laut Maluku. Sebanyak 41 sampel jaringan dari tuna sirip kuning dikumpulkan dari dua populasi di Laut Maluku (Maluku Utara dan Ambon) selama ekspedisi pada bulan Februari 2013. Hasil penelitian menunjukkan bahwa keragaman genetik populasi tuna sirip kuning pada perairan Maluku Utara dan Ambon masing-masing sebesar 0,984 dan 1,00 sedangkan nilai keragaman nukleotida masing-masing bernilai 0,021 dan 0,018. Nilai keragaman genetik dan keragaman nukloetida yang tinggi didaptkan antar kedua populasi masing-masing sebesar 0,990 dan 0,020. Berdasarkan analisis filogenetik, dua populasi di Laut Maluku ini memiliki kedekatan secara genetik.Kata kunci : Genetika populasi; Keragaman haplotipe; Segitiga Terumbu Karang; Filogenetika; Polymerase Chain Reaction (PCR)
Keragaman genetik ikan tuna sirip kuning (Thunnus albacares) dari dua populasi di Laut Maluku, Indonesia Nebuchadnezzar Akbar; Neviaty P Zamani; Hawis H Madduppa
Depik Vol 3, No 1 (2014): April 2014
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.3.1.1304

Abstract

Abstract. Yellowfin tuna (Thunnus albacores) is a large, pelagic, and migratory species of tuna that inhabits Moluccas Sea in Indonesia, and most sea environment worldwide. However, high fishing activities tend to happen in the Indonesia region and catch product appear to be decreasing. A better understanding of yellowfin tuna genetic diversity is required to plan better conservation strategy of tuna. The study was conducted to infer the genetic diversity of yellowfin tuna (T. albacores) in the Moluccas Sea. A total of 41 tissue samples of yellowfin tuna were collected from two regions in the Moluccas Sea (North Moluccas and Ambon) during an expedition in February 2013. The results showed that genetic diversity and nucleotide diversity of yellowfin tuna from North Moluccas population was 0.984 and 0.021, respectively; while in Ambon population, the genetic and nucleotide diversities were 1.00 and 0.018, respectively. The high genetic diversity (0.990) and nucleotide diversity (0.020) between two populations were observed. Based on phylogenetic analysis, no genetic differentiation between the two populations in Moluccas Sea was revealed .Keywords :  Population genetics; Haplotype diversity; Coral Triangle; Phylogenetics; Polymerase Chain Reactions (PCRs) Abstrak. Tuna sirip kuning (Thunnus albacores) adalah ikan komersial penting dan ditemukan di Laut Maluku, Indonesia. Tetapi, aktivitas penangkapan ikan tuna sirip kuning dapat menurunkan kualitas dan kuantitas stok ikan, sehingga perlu adanya pengkajian keragaman genetik ikan tuna sirip kuning. Pemahaman yang baik tentang keragaman genetika dibutuhkan untuk merencanakan strategi konservasi tuna yang lebih baik. Penelitian ini bertujuan untuk mengetahui keragaman genetik  ikan tuna sirip kuning dari dua populasi di Laut Maluku. Sebanyak 41 sampel jaringan dari tuna sirip kuning dikumpulkan dari dua populasi di Laut Maluku (Maluku Utara dan Ambon) selama ekspedisi pada bulan Februari 2013. Hasil penelitian menunjukkan bahwa keragaman genetik populasi tuna sirip kuning pada perairan Maluku Utara dan Ambon masing-masing sebesar 0,984 dan 1,00 sedangkan nilai keragaman nukleotida masing-masing bernilai 0,021 dan 0,018. Nilai keragaman genetik dan keragaman nukloetida yang tinggi didaptkan antar kedua populasi masing-masing sebesar 0,990 dan 0,020. Berdasarkan analisis filogenetik, dua populasi di Laut Maluku ini memiliki kedekatan secara genetik.Kata kunci : Genetika populasi; Keragaman haplotipe; Segitiga Terumbu Karang; Filogenetika; Polymerase Chain Reaction (PCR)
Keragaman genetik ikan tuna sirip kuning (Thunnus albacares) dari dua populasi di Laut Maluku, Indonesia Nebuchadnezzar Akbar; Neviaty P Zamani; Hawis H Madduppa
Depik Vol 3, No 1 (2014): April 2014
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.3.1.1304

Abstract

Abstract. Yellowfin tuna (Thunnus albacores) is a large, pelagic, and migratory species of tuna that inhabits Moluccas Sea in Indonesia, and most sea environment worldwide. However, high fishing activities tend to happen in the Indonesia region and catch product appear to be decreasing. A better understanding of yellowfin tuna genetic diversity is required to plan better conservation strategy of tuna. The study was conducted to infer the genetic diversity of yellowfin tuna (T. albacores) in the Moluccas Sea. A total of 41 tissue samples of yellowfin tuna were collected from two regions in the Moluccas Sea (North Moluccas and Ambon) during an expedition in February 2013. The results showed that genetic diversity and nucleotide diversity of yellowfin tuna from North Moluccas population was 0.984 and 0.021, respectively; while in Ambon population, the genetic and nucleotide diversities were 1.00 and 0.018, respectively. The high genetic diversity (0.990) and nucleotide diversity (0.020) between two populations were observed. Based on phylogenetic analysis, no genetic differentiation between the two populations in Moluccas Sea was revealed .Keywords :  Population genetics; Haplotype diversity; Coral Triangle; Phylogenetics; Polymerase Chain Reactions (PCRs) Abstrak. Tuna sirip kuning (Thunnus albacores) adalah ikan komersial penting dan ditemukan di Laut Maluku, Indonesia. Tetapi, aktivitas penangkapan ikan tuna sirip kuning dapat menurunkan kualitas dan kuantitas stok ikan, sehingga perlu adanya pengkajian keragaman genetik ikan tuna sirip kuning. Pemahaman yang baik tentang keragaman genetika dibutuhkan untuk merencanakan strategi konservasi tuna yang lebih baik. Penelitian ini bertujuan untuk mengetahui keragaman genetik  ikan tuna sirip kuning dari dua populasi di Laut Maluku. Sebanyak 41 sampel jaringan dari tuna sirip kuning dikumpulkan dari dua populasi di Laut Maluku (Maluku Utara dan Ambon) selama ekspedisi pada bulan Februari 2013. Hasil penelitian menunjukkan bahwa keragaman genetik populasi tuna sirip kuning pada perairan Maluku Utara dan Ambon masing-masing sebesar 0,984 dan 1,00 sedangkan nilai keragaman nukleotida masing-masing bernilai 0,021 dan 0,018. Nilai keragaman genetik dan keragaman nukloetida yang tinggi didaptkan antar kedua populasi masing-masing sebesar 0,990 dan 0,020. Berdasarkan analisis filogenetik, dua populasi di Laut Maluku ini memiliki kedekatan secara genetik.Kata kunci : Genetika populasi; Keragaman haplotipe; Segitiga Terumbu Karang; Filogenetika; Polymerase Chain Reaction (PCR)
AgriForScape Model: Optimization of Agricultural Landscape Design in Karawang District as a Pest Control Strategy with an Ecological Approach Selvianing Tiyas; Wildan Maynardy Wicaksono; Usnil Khotimah; Ali Dzulfigar; Danik Septianingrum; Rahmat Asy’ari; Muhammad Ferdiansyah; Neviaty P Zamani; Rahmat Pramulya; Yudi Setiawan
CELEBES Agricultural Vol. 4 No. 2 (2024): CELEBES Agricultural
Publisher : Faculty of Agriculture, Tompotika Luwuk University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52045/jca.v4i2.710

Abstract

Karawang Regency is one of the national rice barns and a major supplier of rice to Jakarta and surrounding areas. However, the productivity of this rice is threatened by the brown planthopper (Nilaparvata lugens) which causes crop failure. The reliance on chemical pesticides to control this pest results in negative impacts on the environment and endangers human health. This caused a decrease in land productivity resulting in the conversion of land use to non-agriculture. This research aims to analyze the conditions and problems of agricultural areas in Karawang Regency and design a strategy for regulating landscape structures in reducing the intensity of pest attacks in Karawang Regency. Optimizing the structure and pattern of agricultural landscapes using the AgriForScape (Agriculture-Forest-Landscape) model can be one of the effective strategies in pest control to increase land productivity by integrating agriculture and forest land covers. Land cover mapping for 2023 and 2000 was conducted using cloud computing, revealing a conversion of 14,000 hectares of rice paddy land over 23 years, leaving 99,713 hectares. AgriForScape focuses on the integration of agriculture and forest conservation to improve ecosystem balance, increase land productivity, and lower the risk of natural disasters. AgriForScape landscape management can be done with several strategies, including the addition of corridors and forest patches as habitat for natural predators of rat pests, and the addition of refugia areas as food sources and natural habitat for insect pest predators. By applying an ecological approach through optimized agricultural landscape design, this strategy aims to reduce pest attack intensity, boost rice productivity, and contribute to food security and climate change mitigation. The findings are expected to advance sustainable agriculture and offer valuable insights for local governments, farmers, and stakeholders seeking environmentally friendly land management solutions.
Dynamic Change of Mangroves in Aceh Tamiang Regency using Landsat Temporal Data, 2000 to 2023 Marfi, Khairani Putri; Asy'Ari, Rahmat; Azelia Dwi Rahmawati; Ali Dzulfigar; Aulia Ulfa; Puspitasari, Raditya Febri; Yudi Setiawan; Neviaty P Zamani; Rahmat Pramulya
Media Konservasi Vol. 30 No. 2 (2025): Media Konservasi Vol 30 No 2 May 2025
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.30.2.344

Abstract

Mangroves, known for their high productivity, play vital roles in physical, ecological, and economic aspects that benefit human life. However, these ecosystems are currently threatened by climate change and human activities. To address this challenge, Indonesia aims to rehabilitate 600,000 hectares of mangroves by 2024. Effectively monitoring changes in mangrove dynamics is crucial for achieving this goal. This study focuses on understanding the dynamic change of the mangrove land cover in Aceh Tamiang from 2000 to 2023. Mangrove dynamics in Aceh Tamiang are important because it has the largest mangrove area in East Aceh, which is decreasing due to conversion to the oil palm industry. The classification using random forest (RF) algorithm by utilizing VWB-IC (Vegetation-Water-Built-up Index Combined), which area NDVI, SAVI, ARVI, GNDVI, SLAVI, and EVI as vegetation indices; MNDWI and ANDWI as water indices; and NDBI as built-up index. The employment of this combination is necessary to enhance the accuracy of classification due to the addition of more input parameters to machine learning. The image data are acquired through Landsat 5 for 2000 and 8 and 9 satellites for 2023. The observed dynamics include mangroves transitioning into fishponds (768 ha) and plantations (2,679 ha) between 2000 and 2023. The processed data indicates a decrease in the Aceh Tamiaang mangrove area from 13,270 ha in 2000 to 9,386 ha in 2023. These results can be used to determine mangrove rehabilitation policies in Aceh Tamiang, Indonesia.