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All Journal Makara Journal of Science Environmental and Materials Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Pin, Tjiong Giok
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Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Physics

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 1 
Bioconcentration Factor (BCF) and Translocation Factor (TF)of Heavy Metals in Mangrove Trees of Blanakan Fish Farm Takarina, Noverita Dian; Pin, Tjiong Giok
Makara Journal of Science Vol. 21, No. 2
Publisher : UI Scholars Hub

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Abstract

In the mangrovesof Blanakan, Indonesia, silvofishery practices may play arole in maintaining the environmental quality of ponds. Mangroves are known as pollutant traps since their root systems absorb and accumulate materials. Heavy metals are pollutants that often contaminate aquatic environment like ponds. The bioconcentration factor can be used to evaluate the content of heavy metals in organisms, while the translocation factor can be used to measure the amount of heavy metals transferred form one organ to another. The aim of this study was to determine the bioconcentration factor and the translocation factor of heavy metals (Pb, Cu,andZn) in mangrovetrees (Avicennia and Rhizopora) at the Blanakan ponds. Samples of mangrove trees from 3 stations, were cut using a knife, and samples of sediments were collected using Ekman Bottom Grab sampler. Samples were then prepared for heavy metal content analysis using the Shimadzu 6300 atomic absorption spectrophotometer. The bioconcentration and translocation factorswere calculated using formulas; the bioconcentration factor was calculated as the content of heavy metals in trees divided by the content of heavy metals in sediments. Results showed that the bioconcentration factor of Cu was higher than 1 in the roots, stems and leaves of Avicennia trees and of Zn was higher than 1 in the roots of Rhizopora trees at station 1. Translocation factors higher than 1 were mostly found in Avicennia (Cu) and Rhizopora (Pb) trees. Mangrove trees with translocation values of greater than 1 for one or more heavy metals can be considered as strong accumulators of the corresponding metals.
PERSEBARAN TERUMBU KARANG DI WILAYAH PERAIRAN KARAWANG Fadhli, Rafdi; Pin, Tjiong Giok
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 2, No. 1
Publisher : UI Scholars Hub

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Coral reefs are one of the most important marine resource potentials in Indonesia. The purpose of this research is to analyze the influence of physical characteristics of waters on the distribution of coral reefs in the Waters of Karawang region in 2001, 2010 and 2017. The method used is field survey and image data processing using the Lyzenga algorithm to determine the distribution of coral reefs in the Waters of Karawang. The results showed that the physical characteristics of these waters affected the distribution of coral reefs in the long term which in the year 2001 - 2017, because when the physical characteristics of the waters are not in accordance with the quality standards, coral reefs do not die immediately but will undergo various processes until it dies. Temperature measurement does not affect the spread of coral reefs in the Karawang region because at temperatures that are suitable for air quality for coral reefs, coral reefs cannot live in the Karawang region. Whereas in high salinity beyond the standard threshold value, coral reefs cannot grow and develop. In ocean surface currents, live coral reefs are ready to have a pattern that is in the same direction as the average direction of ocean currents in the initial time.
A SPACE-TIME SCAN STATISTIC TO DETECT CLUSTER ALARMS OF DENGUE MORTALITY IN INDONESIA, 2005 Widyaningsih, Yekti; Pin, Tjiong Giok
Makara Journal of Science Vol. 12, No. 1
Publisher : UI Scholars Hub

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This article presents a space-time scan statistic, useful for evaluating space-time cluster alarms, and illustrates the method to investigate a recent dengue mortality alarm in Indonesia. Space-time scan statistics account for multiple testing inherent in a cluster alarm. The baseline process may be any inhomogeneous Poisson process with intensity proportional to some known function. Confounders in a particular time can be adjusted for. Three cluster alarms of dengue mortality in Indonesia in 2005 were statistically significant. Space-time scan statistics are useful as screening tools for evaluating which cluster alarms merit further investigation and which clusters are probably chance occurrences.
Spatial and temporal study of estimating carbon stocks distribution of mangrove forest in coastal area of Teluknaga, Tangerang Yumnaristya, Syefiara Hania; Indra, Tito Latif; Supriatna; Pin, Tjiong Giok; Gracia, Enrico
Environmental and Materials Vol. 1 No. 2: (December) 2023
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v1i2.2023.270

Abstract

Coastal mangrove forests play a crucial role in balancing carbon emissions in the atmosphere as they are a significant carbon store. Previous studies have shown that mangroves can absorb carbon four times more efficiently than terrestrial tropical forests. Unfortunately, the massive development and land use changes in Teluknaga District's coastal areas threaten these ecosystems' existence. To address this concern, efforts are being made to increase conservation, including estimating carbon stock. The aim of this study is to analyze the spatial distribution of biomass and carbon stock of mangrove forests in Teluknaga between 2016-2022 based on vegetation indices such as ARVI, EVI, and SAVI. Sentinel-2 was calculated into ARVI, EVI, and SAVI vegetation indices to model biomass. Statistical correlation analysis was also used to determine the best vegetation index to model biomass in the coastal area of Teluknaga District. This study found that the ARVI vegetation index had the best correlation (R = 0.60) for modeling biomass, with an RMSE value of 36.67 kg/pixel. Most mangrove forests in the coastal area of Teluknaga District showed an increase in biomass and carbon stock between 2016-2022, with significant growth in Muara and Lemo villages' mangrove forests, which is in line with an increase in the area and density of mangrove forests.
IDENTIFICATION OF PHYSICAL AND SOCIAL POTENTIAL FOR ECOTOURISM DEVELOPMENT IN NEGLASARI VILLAGE, SUKABUMI REGENCY USING REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS Pin, Tjiong Giok; Wibowo, Adi; Alya, Haura Hazema; Nastiti, Afifa Ayu
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 8, No. 1
Publisher : UI Scholars Hub

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Abstract

Identification of physical and social potential needs to be done so that it can be developed as an ecotourism object that has a role in improving the economy of a region. Physical and social potential data can be obtained and interpreted from satellite imagery using remote sensing which is then verified through surveys and direct measurements in the field using GPS and digital maps. Data analysis was performed using the overlay method in GIS. Remote sensing methods using satellite imagery have proven to be superior for obtaining information on an area effectively and sustainably. Landsat imagery 8 and 9 are used to periodically monitor changes in the physical condition of the Neglasari Village area so that they can be used for analysis of the carrying capacity of the environment for ecotourism. The use of the NDVI, NDBI and NDWI algorithms produces suitability for developing ecotourism objects. Attractive and interesting physical and social potential to be developed as an ecotourism object are river channels, hilltops, camping grounds, and agricultural land. All these interesting objects have the potential to support sustainable ecotourism in Neglasari Village.
Co-Authors Adi Wibowo Alya, Haura Hazema Fadhli, Rafdi Gracia, Enrico Nastiti, Afifa Ayu Noverita Dian Takarina Dian Takarina Supriatna Tito Latif Indra Yekti Widyaningsih Yumnaristya, Syefiara Hania