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All Journal Journal of Marine and Aquatic Sciences Journal of Marine Research and Technology Forest and Society
Ida Bagus Mandhara Brasika
Program Studi Ilmu Kelautan, Fakultas Kelautan Dan Perikanan, Universitas Udayana, Bali, Indonesia
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science Social Sciences

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Potensi Sampah Masuk ke Laut dari Aktvitas Darat di Kabupaten Badung, Provinsi Bali Diana Paramita Ratnawati; I Gede Hendrawan; Ida Bagus Mandhara Brasika
Journal of Marine Research and Technology Vol 5 No 1 (2022): FEBRUARI 2022
Publisher : Department of Marine Sciences, Faculty of Marine Science and Fisheries, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2022.v05.i01.p02

Abstract

The development of tourism potential in Bali Province has actually penetrated into every district and city, especially in Badung Regency which has significant tourism development. This is of course closely related to the population growth in this region. As an interrelated effect, the high intensity of population growth in Badung Regency is also in line with the increasing volume of waste along with the rate of population growth, technological improvement, socio-cultural activities, and the economic growth of the community. Garbage generated from land and distributed to the sea becomes marine debris. The marine debris usually comes from rivers and generally a type of plastic waste. If marine sustainability is polluted by substances generated by waste continuously with large volumes in high concentrations, it can cause damage to the balance of the sea. The purposes of this research were: (1) to determine the characteristics and concentration of waste on land and river borders and (2) to find out how much potential waste enters the sea because of land activities in Badung Regency, Bali Province. Field data collection was carried out for 2 months by using the method developed by CSIRO (Commonwealth Scientific and Industrial Research Organization) then the data was analyzed by using the Generalized Additive Model (GAM) regression model. The research found that garbage from land activities in Badung Regency was generally dominated by 32% non-plastic waste and 68% plastic waste. This plastic waste was generally found in the form of fragments, which was 83% and 17% was found to be in whole condition. The potential for the entry of marine waste was linear and significant in the source variables of potential waste in the form of total population, distance of points from settlements, distance of points from market and distance of points to tourism.
Ensemble Model of Precipitation Change Over Indonesia Caused by El Nino Modoki Ida Bagus Mandhara Brasika
Journal of Marine Research and Technology Vol 4 No 1 (2021): FEBRUARI 2021
Publisher : Department of Marine Sciences, Faculty of Marine Science and Fisheries, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2021.v04.i01.p10

Abstract

The aim of this research is to understand the impact of El Nino Modoki into Indonesian precipitation and how ensemble models can simulate this changing. Ensemble model has been recognized as a method to improve the quality of model and/or prediction of climate phenomenon. Every model has their own algorithm which causes strength and weakness in many aspects. Ensemble will improve the quality of simulation while reducing the weakness. However, the combination of models for ensembles is differ for each event and/or location. Here we utilize the Squared Error Skill Score (SESS) method to examine each model quality and to compare the ensemble model with the single model. El Nino Modoki is a unique phenomenon. It remains debatable amongst scientists, many features of this phenomenon are unfold. So, it is important to find out how El Nino Modoki has changed precipitation over Indonesia. To verify the changing precipitation, the composite of precipitation on El Nino Modoki Year is divided with the composite of all years. Last, validating ensemble model with Satellite-gauge precipitation dataset. El Nino Modoki decreases precipitation in most of Indonesian regions. The ensemble, while statistically promising, has failed to simulate precipitation in some region.
Analisis Konsentrasi Distribusi Sampah di Sepanjang Garis Pantai Kabupaten Badung, Tabanan, dan Jembrana Provinsi Bali Ni Luh Putu Bintang Witariani; I Gede Hendrawan; Ida Bagus Mandhara Brasika
Journal of Marine Research and Technology Vol 5 No 1 (2022): FEBRUARI 2022
Publisher : Department of Marine Sciences, Faculty of Marine Science and Fisheries, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMRT.2022.v05.i01.p01

Abstract

Marine debris is a global environmental problem of increasing concern. In Bali, the waste problem is becoming an emergency. With the Bali Strait threatened by pollution from marine debris, data are urgently needed. This study aimed to determine the concentration and distribution of marine debris along the coastline of Badung, Tabanan, and Jembrana Regencies. The study was conducted in February 2021 on 18 beaches with a distance of 10 km between points and 8 points near river downstream areas (estuaries) which were determined randomly. The results showed that 92% of debris were plastic waste which was classed as soft plastic (33%), hard plastic (25%), plastic straps (4%), fishing gear (0.4%), and foam (30%) with an average overall concentration of 1.32 items/m². A total of 3318 items were fragments (86.3%) and 527 items were whole (13.7%). The dominant size class of debris along coastline surveyed was 2-4 cm2 (30.21%). The highest mean concentration of marine debris was 3.84 items/m² with the dominant waste class being foam fragments with 240 items. The lowest mean concentration was 0.14 items/m². Marine debris was distributed along the coastline at different concentration levels in each region, where Badung Regency had a relative concentration value ranging from 0-20%, Tabanan Regency had a relative concentration value ranging from 0-40%, and Jembrana Regency was the most affected area with a relative concentration value of 0-100%.
The Role of El Nino Variability and Peatland in Burnt Area and Emitted Carbon in Forest Fire Modeling Ida Bagus Mandhara Brasika
Forest and Society Vol. 6 No. 1 (2022): APRIL
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v6i1.10671

Abstract

This study was conducted to model fire occurrence within El Nino variability and peatland distribution. These climate and geographical factors have a significant impact on forest fires in tropical areas such as Indonesia. The re-analysis dataset from ECMWF was observed with respect to climate characteristics in Indonesian El Nino events. The INFERNO (INteractive Fire and Emission algoRithm for Natural envirOnments) was utilized to simulate fires over Borneo Island due to its capability to simulate large-scale fires with simplified parameters. There were some adjustments in this INFERNO model, especially for peat fire as peatland has a significant impact on fires. The first was the contribution of climate to the peat fire which is represented by long-term precipitation. The second was the combustion completeness of peat fire occurrence that is mainly affected by human-induced peat drainage. The result of the model shows that El Nino variability mainly affected peat fires but was unable to well simulate the above-ground fire. It increased the burnt area during strong El Nino but overestimated the fires during low/no El Nino season due to lack of peat fire ignition in the calculation. Moreover, as the model did not provide peat drainage simulation, it underestimated the carbon emission. This model has shown promising results by addressing key features in limited input data, but improving some simulations is necessary for regulating weak/no El Nino conditions and carbon combustion of peat fire.
Pemetaan Perubahan Penggunaan Lahan Wilayah Pesisir di Kecamatan Bulak, Surabaya Tahun 2014 dan 2020 Maria Laurensyelen Wulu Beda Rianghepat; I Wayan Nuarsa; Ida Bagus Mandhara Brasika
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.p15

Abstract

The coastal area is an intersection between mainland and ocean. The tourism potential in the coastal area of Bulak District in Surabaya is expanded. It is shown by the construction of Surabaya Bridge in 2015. This construction will affect land use change. Remote sensing technology is one of the acquisitions to monitor land use change. This research focuses on identifying the land use change in the coastal area in Bulak District, Surabaya, in 2014 and 2020, as well as to determine the accuracy of classification method applied for mapping the land use change in 2020. The application of 2014 acquisitions data was used as the bridge construction plan, while the application of 2020 acquisitions data was used as the premise for the land classification system in the previous year. There are two methods used to classify land use in coastal areas, that is pixel-based classification (maximum likelihood algorithm) and object-based classification (nearest neighbor algorithm). The research shows that there are 6 land use classes in study area: built-up land, rice fields, forests, shrubs, non-built-up land, and ocean. By applying these two methods, the result shows different area changes. The conversion of the highest mainland by applying a pixel-based classification was found in built-up land (+23.03 ha) and rice fields (-24.84 ha), while the area changes by applying object-based classification method were found in built-up land (+32.75 ha) and rice fields (-26.91 ha), respectively. The accuracy by applying the pixel and object-based method is 89% and 92%, respectively, from the percentage indicates good interpretation.
Co-Authors Diana Paramita Ratnawati I Gede Hendrawan I Wayan Nuarsa Maria Laurensyelen Wulu Beda Rianghepat Ni Luh Putu Bintang Witariani