I Dewa Nym. Nurweda P.,
Program Studi Ilmu Kelautan, Fakultas Kelautan Dan Perikanan, Universitas Udayana Kampus Unud Jimbaran, Badung, Bali, Indonesia

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Komunitas Bakteri Yang Berasosiasi Dengan Karang Acropora horrida Putu Natalia Sarasvati; I Dewa Nyoman Nurweda Putra; Widiastuti Widiastuti
Journal of Marine and Aquatic Sciences Vol 8 No 1 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i01.p06

Abstract

Symbiotic corals are not only with zooxanthella but also with various microorganism communities, namely bacteria. The presence of bacteria on the reef acts as a nutrient provider for coral animals. One of the adaptations made by corals to environmental changes is by secreting mucus. Mucus provides living space for various types of bacteria. Acropora coral is one of the largest and most extensive coral builders in coral ecosystems, adaptable, and has a fast recovery rate from coral bleaching. The aimed of this study was to determined the bacterial community associated with A. horrida coral mucus. Bacterial identification was based on observations of colony morphological tests and biochemical tests. The results of this study showed that 6 isolates of A. horrida coral mucus bacteria on average have a round shape with a complete border, flat elevation, and white with a smooth texture. The six bacterial isolates showed negative results where there were no bubbles. The oxidase test results showed 3 negatives with no change in color and 3 positives with a change in color to violet. In the gram staining test, there were 2 gram-negative isolates and 4 gram-positive isolates. Characteristics of the six bacterial isolates associated with A. horrida coral mucus identified include the Micrococcaceae, Lactobacillaceae, Clostridiaceae, and Rhizobiaceae families. It was suspected that these bacteria are opportunistic, where the density will increase if there are pollutants into coral reef ecosystems such as organic matter and nitrogen which can increase their growth.
Pemetaan Perubahan Luasan Mangrove Menggunakan Citra Sentinel-2A Pasca Kematian Massal Mangrove di Denpasar-Bali Rowand Danny Sebastian Adinegoro; I Dewa Nyoman Nurweda Putra; I Nyoman Giri Putra
Journal of Marine and Aquatic Sciences Vol 8 No 1 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i01.p08

Abstract

Province of Bali is one of the mangrove forests distributed in Indonesia, which is spread over three sites, including Tahura Ngruah Rai. The mangrove area in the Tahura, especially in Denpasar city, mangrove forest suffered due to human activities and natural factors. Therefore, there is a need to monitor the distribution of mangrove forests in the area. Remote sensing is one of the technologies that can be used to control the extent and distribution of mangrove in that area. The aimed of this study was to determined the best band combination on the Sentinel-2A in detecting the mangrove-specific land cover, which was then used to map the extent of mangrove areas after death. The Band combinations tested are the combinations of band 4-3-2, 11-8-4 dan 8-11-2 on the Sentinel-2A. The results indicated that the value of producer accuracy (PA) as well as user accuracy (UA) in the mangrove class with combined band of 4-3-2 (PA= 92.59%, UA= 98.04%), 11-8-4 (PA= 85.19%, UA=88.46%), and 8-11-2 (PA= 71.15%, UA= 84.09%). This study concluded that the band combination of 4-3-2 is able to detect the mangrove better than the band combination of 11-8-4 and 8-11-2 with the total accuracy and an accuracy of the kappa respectively around 91.24% and 91.15%. Mangrove forests of the Tahura Ngura Rai, Denpasar city, had decreased the extent of mangrove forests by 25.58 hectares over a period of four years in 2016 (before incident) until 2020 (after incident).
spatial distribution of plankton in makassar strait Ni Wayan Sintaningsih; Eloq Faiqoh; I Dewa Nyoman Nurweda Putra
Journal of Marine and Aquatic Sciences Vol 8 No 1 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i01.p05

Abstract

Selat Makassar merupakan lintasan pertama arlindo yang dimana lintasan pertama ini sebagaian besar mentransfer air yang kemudian menuju selat Lombok. Arus lintas Indonesia ini membuat perairan Indonesia terutama bagian timur menjadi subur akibat adanya proses upwelling dan proses pencampuran serta interaksi air dengan udara yang menyebabkan kandungan nutrisi dan mineral menjadi kaya pada lapisan laut dalam. Beberapa penelitian tentang plankton di Selat Makassar masih berkisar tentang klorofil- a sedangkan penelitian tentang plankton sendiri masih belum ada. Oleh karena itu, penelitian tentang distrubusi spasial plankton di selat makassar penting dilakukan yang dapat digunakan sebagai informasi dasar tentang pengaruh arlindo terhadap struktur komunitas plankton di selat makassar. Metode pengambilan plankton menggunakan metode tuang. Metode ini dilakukan dengan mengambil air dengan menggunakan alat water sampler sebanyak 30 liter pada kedalaman 0 meter, 100 meter dan 250 meter. Fitoplankton yang ditemukan di Selat Makassar yaitu Kelas Bacillariophyceae yang sering ditemukan dengan kelimpahan yang tinggi dengan genus Chaetoceros dan Nitzhia.dari kelas Cyanophyceae yang sering ditemukan dengan kelimpahan relative tinggi adalah Oscillatoria sedangkan kelas Chlorophyceae yang ditemukan adalah genus Chroococus. Sedangkan zooplankton yang ditemukan di Selat Makassar yaitu Kelas hexanaupilia yang sering ditemukan dengan kelimpahan relatif tinggi yaitu genus Cyclops. Kelas Malacostraca yang ditemukan di Selat Makassar yaitu Naupiliisedangkan kelas Maxilopoda yang ditemukan di Selat Makassar yaitu genus Copepod.
Analisis Sea Level Anomaly Dengan Menggunakan Data Multi Satelit Altimetri Di Perairan Indonesia I Gusti Putu Ary Wedangga; I Gusti Bagus Sila Dharma; I Dewa Nyoman Nurweda Putra
Journal of Marine and Aquatic Sciences Vol 8 No 1 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i01.p14

Abstract

Global warming become one of the problems currently faced by the world. In general, global warming is a phenomenon where the average temperature of the earth has increased, both the temperature of land, atmosphere, and sea. As a result, global warming can cause global climate change, and sea level rise. Sea level rise is a condition where the increasing of sea water volume that caused by melting of the ice caps or thermal expansion. This study used Sea Level Anomaly (SLA) dan Sea Surface Temperature (SST) data with 1/4° x 1/4° spatial resolution and daily temporal resolution for 10 years (2008 - 2018). The study was conducted in Indonesian waters within coordinates of 10°N – 13°S dan 93°E – 141°E, with 8 areas focused on analyzing sea level anomaly trends. During the period 2008 - 2018 there was a positive trend of sea level anomaly at all research area. The highest sea level rise occurred in area B (Sulawesi Sea) of 4.788 cm with a rate of increase of 0.479 cm / year. In general there was an average increase of 3.686 cm in Indonesian waters with a rate of increase of 0.369 cm / year.
Perbandingan Akurasi Metode Empiris untuk Pemetaan Batimetri Perairan Benoa, Bali, Menggunakan Citra Satelit SPOT Syifa’ul Qolbiyatun Nisa; I Wayan Gede Astawa Karang; I Dewa Nyoman Nurweda Putra; Kuncoro Teguh Setiawan; Kholifatul Aziz
Journal of Marine Research and Technology Vol 6 No 1 (2023): FEBRUARI 2023
Publisher : Department of Marine Sciences, Faculty of Marine and Fisheries, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2023.v06.i01.p09

Abstract

Satellite Derived Bathymetry (SDB) is an alternative method to obtain bathymetry information data developed by utilizing image data as data sources. This study aimed to compare the accuracy of five empiric methods: the Stumpf Method, Polynomial Method, Multilinear Regression Method (MLR), Lyzenga Method, and Van Hengel and Spitzer Methods (VHS). This research was located in Benoa, Denpasar, and Bali using SPOT 6 satellite imagery with a spatial resolution of 6 meters as the data source. The acquisition was on August 12, 2017, in situ data. The accuracy test was carried out by calculating the coefficient of determination (R2) and the RMSE value. The SPOT 6 image requires an image interpretation process, including radiometric correction and atmospheric correction using DOS and land and water masking using the NDWI equation to obtain accuracy test and bathymetric information. Stumpf method has an RMSE of 5.72 meters, R2 of 0.27. The polynomial method has an RMSE of 6.99 meters R2 of 0.01. The Multilinear Regression method has an RMSE of 5.75 meters R2 of 0.34. The Lyzenga method has an RMSE of 7.66 meters R2 of 0.09. The Van Hengel and Spitzer method has an RMSE of 6.97 meters R2 of 0.03. Based on the results of calculations from this study, the Stumpf method has the highest accuracy with an RMSE of 5.72.
Pemetaan Sebaran Habitat Dasar Perairan Laut Dangkal Menggunakan Citra Sentinel-2A di Teluk Gilimanuk I Gusti Putu Bayu Arri Putra; I Dewa Nyoman Nurweda Putra; I Nyoman Giri Putra
Journal of Marine and Aquatic Sciences Vol 9 No 1 (2023)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2023.v09.i01.p03

Abstract

West Bali National Park is a conservation area with such a high biodiversity. That includes mangrove forest, coastal, and shallow water ecosystem. As a conservation area, a distribution map of the shallow water habitat is necessary for decision making in the conservation’s benthic habitat developing program. One of the mapping method is remote sensing and requires Sentinel-2A Level 1C satelitte image. Sentinel-2A Level 1C is used due to its high resolution which is 10x10 meters for a single pixel. The aim for this research is for mapping the distribution of the shallow water habitat in Gilimanuk Bay while also assesses the accuracy of Sentinel-2A image. This research uses the Quantum GIS and SAGA GIS software to analyze the Sentinel-2A image. The image is transformed using Depth Invariant Index to reduce the scattering effect on the reflectance. After the image is being transformed by the Depth Invariant Index, it is classified using maximum likelihood method. The classification showed, the area of each classes are 56.59 hectares of corals, 18.01 hectares of seagrass, 128.97 hectares of waters, 45.76 hectares of mud sediment, 78.95 hectares of macro algae, and 26.67 hectares of sands. Overall accuracy assessment for this research calculated using confusion matrix and the result is 65.1% and considered good enough due to Coral Ecosystem Remote Sensing Data Analysis Guide by National Institute of Aeronautics and Space (LAPAN), in which the tolerance of the accuracy is 60%. Accuracy levels are influenced by number of classes, image resolution, class resemblance, turbidity, and seafloor material.
Pemetaan Zona Potensial Penangkapan Ikan (ZPPI) Di Perairan Selat Bali Menggunakan Citra Satelit Aqua MODIS Ni Kadek Ayu Dwi Lestari; I Dewa Nyoman Nurweda Putra; Ni Luh Putu Ria Puspitha
Journal of Marine Research and Technology Vol 6 No 2 (2023): AGUSTUS 2023
Publisher : Department of Marine Sciences, Faculty of Marine and Fisheries, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2023.v06.i02.p06

Abstract

The abundance and distribution of fish are influenced by environmental productivity, such as chlorophyll-a distribution and variations in sea surface temperature (SST). The lack of technology fishermen use in the waters of the Bali Strait has resulted in the high potential of fish resources not being optimally utilized. This study aimed to determine potential fishing zones by utilizing Aqua MODIS satellite data which can detect SST and chlorophyll-a. The image data observed was from October to December 2018 to 2020. The method used is the Single Image Edge Detection Algorithm, where this algorithm is used to determine potential fishing areas designed to detect fronts in SST images. The results showed that in December 2018, 7 potential fishing points were produced, marked with a chlorophyll-a value of 0.25 mg/m3 and an SST of 29.25°C. In December 2020, 82 potential fishing points were produced, with a chlorophyll-a value of 0.31 mg/m3 and an SPL of 29.79°C. Validation was carried out by analyzing the result of image processing with fish catch data obtained from Pengambengan PPN, Muncar PPP, and Kedonganan TPI. SST, with a value of 27°C, is the ideal temperature for fish where when the temperature increases, the number of potential fish catch points decreases and vice versa. The distribution of chlorophyll-a content with a value of > 0.2 mg/m3 affects the number of potential fishing points, where the higher the chlorophyll-a content, the more fishing ground points and vice versa.
Frekuensi Pemunculan, Tingkah laku, dan Diversitas Cetacea di Perairan sekitar Labuan Bajo, Flores, Nusa Tenggara Timur Priscilla Princessa Amalo; I Dewa Nyoman Nurweda Putra; I Nyoman Giri Putra
Journal of Marine Research and Technology Vol 6 No 2 (2023): AGUSTUS 2023
Publisher : Department of Marine Sciences, Faculty of Marine and Fisheries, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2023.v06.i02.p08

Abstract

At least 30 cetaceans live in Indonesia, especially in the eastern waters of Indonesia, consisting of whales and dolphins. Cetaceans play an important role as a key species in determining the health of marine ecosystems. This study aims to determine the frequency of appearance, behavior, and diversity of cetaceans along Labuan Bajo, Flores, and East Nusa Tenggara. The study was conducted in October-November 2021, with four weeks to collect field data and interviews. The data involved a ship carrying a group of observers consisting of four people, with each task assigned to look for the appearance, species, and behavior of cetaceans. In the interview methods, interviews were conducted with fishermen regarding the presence of cetaceans. The data was then processed using the Microsoft Excel program and later plotted using the ArcView program as the outpour of the cetacean distribution. The results showed 19 occurrences of cetaceans, with six occurrences found in the field survey and 13 based on interviews with fishermen. Appearances were found to be evenly distributed in the study area, with a total of 7 species of cetaceans found, namely Stenella longirostris, Stenella attenuata, Tursiops truncates, Pseudorca crassidens, Grampus griseus, Kogia simus, and Physeter macrocephalus. In species composition and abundance, S. longirostris species had the highest value, and the P. crassidens species had the lowest composition value. A value of 1.06 was found in diversity, indicating that the cetaceans in Labuan Bajo were classified as moderate. Some behaviors include aerials, spy hopping, bow-riding, feeding, and avoidance.
Analisis Status Mutu Air Laut Berdasarkan Metode STORET di Pelabuhan Gilimanuk Bali Valenthio Sidauruk; I Wayan Gede Astawa Karang; I Dewa Nyoman Nurweda Putra
Journal of Marine Research and Technology Vol 7 No 1 (2024): FEBRUARI 2024
Publisher : Department of Marine Sciences, Faculty of Marine and Fisheries, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2024.v07.i01.p09

Abstract

The harbor area has a high risk of pollution. Anthropogenic activities such as ship operations, ship traffic and material used by ships will trigger a decrease in water quality and have a negative impact to the water in harbor area. This study aimed to determined the content of parameters and water quality status at Gilimanuk Harbor, Bali. Samples were taken during the transitional of Summer and Rainy season (September-November 2022) three times with a one-month interval. The parameters used in this study were: temperature, Total Suspenden\d Solid (TSS), pH, salinity, ammonia, lead and coliform. The additional parameters in this study are rainfall, wind and currents to determine the relationship between data. Water quality status in this study was analysed by STORET method, with the water quality standard referenced The Government Regulation Number 22 of 2022 for harbor waters. The parameters that exceeded the water quality standard in this study were Ammonia and the water quality status for the port waters based on the STORET method, specifically at a distance of 50 meters and 500 meters from the shore is class A with (Not Polluted) category while at a distance of 1000 meters from the shore is class B (Lightly Polluted) category. With these results, it can be seen that rainfall, wind and currents have an impact on the distribution of pollutants in the sea water.
Pemetaan Terumbu Karang Berbasis Citra Unmanned Aerial Vehicle (UAV) Dan Satelit Sentinel-2A Dengan Metode Object Based Image Analysis (OBIA) Di Perairan Pulau Menjangan Bali Ramadhani Ahmad; I Dewa Nyoman Nurweda Putra; I Putu Yogi Darmendra
Journal of Marine Research and Technology Vol 7 No 1 (2024): FEBRUARI 2024
Publisher : Department of Marine Sciences, Faculty of Marine and Fisheries, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2024.v07.i01.p05

Abstract

There is still little research on mapping benthic habitats on Menjangan Island, so the availability of spatial data in this area is still limited. This research aimed to map coral reefs using UAV imagery and Sentinel-2A imagery with the object-based/OBIA classification method and calculate the level of accuracy of classification results in the waters of Menjangan Island. This research was conducted in 4 water areas, especially waters where diving and snorkeling activities often occur. This research used Sentinel-2A satellite data acquired on March 17, 2022, and UAV data acquired on March 30, 2022. Area 1 live coral (KH) with an area of 0.76 Ha for UAV imagery, live coral (KH) on Sentinel imagery -2A, namely 0.64 Ha. Region 2, the area of live coral (KH) in the UAV image is 0.67 Ha, and live coral (KH) in the Sentinel-2A image is 0.49 Ha. Region 3, the area of live coral (KH) in the UAV image is 0.77 Ha; in the Sentinel-2A image, it is 0.60 Ha. The 4 live coral (KH) areas in the UAV image have an area of 0.83 Ha, and the live coral (KH) in the Sentinel-2A image covers an area of 0.62091 Ha. UAV imagery can produce an overall accuracy in each region of 97.96% in Region 1. 98.21% in Region 2, 98.84% in Region 3, and 96.77% in Region 4. The overall accuracy level of Sentinel-2A imagery is 85.71% in Region 1, 83.93% in Region 2, 86.05% in Region 3, and 83.87% in Region 4.
Co-Authors A. A. Md. Ananda Putra Suardana Alanis Ismi Akasia Anak Agung Kompiang Oka Sudana Ayu Wirdiani Brasika, Ida Bagus Mandhara Dewa Ayu Mira Prabaswari Diah Pertami Dzaki Adilla Razaan Dzaki Adilla Razaan Elok Faiqoh Eloq Faiqoh Elvita Rahmani G M Arya Sasmita Gede Surya Indrawan Gede Surya Indrawan Gede Yuda Kamajaya Hendra Yoga Pratama Herlambang Aulia Rachman I Dewa Gede Alit Sujana I Gede Hendrawan I Gusti Bagus Sila Dharma I Gusti Ngurah Putra Dirgayusa I Gusti Putu Ary Wedangga I Gusti Putu Bayu Arri Putra I Kade Alfian Kusuma Wirayuda I Kadek Vidyananda S Rahadiarta I Ketut Adi Purnawan I Komang Agus Parnata I Made Putra Kresnabayu I Made Satya Prayoga I Nyoman Januarta Triska Putra I Putu Agung Bayupati I Putu Yogi Darmendra I Wayan Arthana I Wayan Gede Astawa Karang I Wayan Nuarsa I Wayan Nuarsa Ida Bagus Andika Putra Ida Bagus Kade Putra Susila IGA Ayu Mirah Indraiswari Kadek Ayun Wardimas Karina Santoso Kholifatul Aziz Komang Gede Kurniadi Kuncoro Teguh Setiawan Luh Putu Puspita Dewanti Made Pande Darmawan Mark Johannes Wiggers Ngurah Padang Adnyana Ni Kadek Ayu Dwi Lestari Ni Luh Eta Yuspita Ni Luh Putu Ria Puspitha Ni Made Pitria Menala Saputri Ni Putu Ayu Aryanti Ni Wayan Ayu Astini Sari Ni Wayan Sintaningsih Nur Asni Puspita Sari Pande Komang Egar Prihandana Priscilla Princessa Amalo Putra, I Nyoman Giri Putu Hernanda Krishna Ariszandy Putu Natalia Sarasvati Putu Wira Buana Ramadhani Ahmad Rowand Danny Sebastian Adinegoro Septi Novita Sari Suprapto, Nyoman Arto Syifa’ul Qolbiyatun Nisa Takahiro Osawa Takahiro Osawa Tania Maria Octarina Taradhita, Dewa Ayu Nadia Valenthio Sidauruk Veranita Lamrotua Sihombing Widiastuti Karim Widiastuti Karim Widiastuti Widiastuti Widiastuti Widiastuti Yasa, Putu Kumara Yulianto Suteja