Indonesian Journal of Geography
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Degraded Peatlands and Their Utilization Opportunities in Kepulauan Meranti Regency, Riau Province, Indonesia
No full textDegraded peatlands are caused by various factors, including land fires, water mismanagement, and mining activities. Indicators of degraded peatlands can be identified through the type of land cover observed in the field, which commonly includes shrubs and barren land (open areas of ex-mining land). Therefore, this study aimed to determine the dynamics of the existence of degraded land and its utilization opportunities using spatial, image, and time series analysis methodDepartment Forest Resources Conservation & Ecotourism, Forestry Faculty, Bogor Agricultural University Kampus IPB Darmaga PO.Box 168 Bogor-Indonesias. To conduct the analysis, various data sources were employed, including Landsat imagery, the Regional Spatial Planning (RTRW) map, hotspots data, rainfall data, landforms maps, peatlands data, and soil information. The results of the study showed that between 1999 and 2019, the average area of degraded peatlands amounted to 198,084.54 hectares. Furthermore, the optimal area of degraded peatlands utilized for agriculture amounted to 7,122.45 hectares . Inventory of degraded peatland using the land cover approach can be obtained faster, cheaper, easier than the terrestrial method. Opportunities for using degraded land for agricultural purposes were also identified through the selection of plant species that exhibited adaptability to peatlands and held economic value. These selected plants, including sago, rubber, areca nut, and liberika coffee, were developed within the Meranti Islands Regency.
Geographic Accessibility to Primary Healthcare: Study Case Dengue Fever in Purwosari Sub-District, Gunungkidul Regency, Yogyakarta, Indonesia
No full textDistribution and spatial analysis of public healthcare in Indonesia are rarely discussed. Most of the research tell about quantity and quality which do not mention the spatial aspect. This research purposes to know the relationship between health facilities selection and geographic conditions by combining medical facilites data, number of doctor and spatial analysis approach. The selected study areas are referral health facilities chosen by DHF (Dengue Hemorrhagic Fever) patients in Purwosari District, Gunungkidul Regency. Information was collected by interviews and field measurements (altitude and location plotting) and also secondary data collection (hospital accreditation data, number of doctors, and number of beds). GPS, Altimeter, ArcGIS, and SPSS used for data collection and analysis. The spatial analysis method in this research were kernel density, buffer, ruler, and altitude of each facility. Meanwhile, the medical analysis approach used Pearsons' correlation and multinomial logistic regression in SPSS. The results of the spatial analysis show that the DHF patients in Purwosari dominantly choose health facilities in Bantul Regency because of having closer distance, relatively short travel time, lower elevation, and many health facilities centers. At the same time, Puskesmas Purwosari (Sub-district level Health center) was only chosen as an early reference and a place for treating mild dengue patients. In addition, distance, duration of travel time, and the number of doctors had a strong correlation based on the Pearson's correlation. These three variables have the greatest linear relationship with the response variable. Meanwhile, some variables; elevation, number of doctors, accreditation, and number of beds were considered by patients in choosing a hospital based on multinomial logistic regression analysis
Spatial Distribution of Small and Big-Scale Modern Retail Through the Growth of Yogyakarta Urbanized Area
Get PDFThe focus on the growth of modern retail has become increasingly important due to several generated externalities. Therefore, this research aimed to identify spatial distributional pattern of modern retail in order to implement precise policies. Data were obtained from The Department of Licensing Service of Yogyakarta City and supplemented with observation through Google Maps. The global pattern was analyzed using the Moran Index (Moran’s I), while the spatial pattern was evaluated using Local Indicators of Spatial Association (LISA). The analysis resulted in a significant cluster pattern for small and big-scale modern retail. The LISA analysis indicated the existence of agglomeration in the suburban area, which was the urban growth area with a high-high (HH) cluster of both small and big-scale modern retail in exact locations. In conclusion, agglomeration in the suburban area was of great concern for policymakers due to the possibility of conflicts.
Informal Space Utilization Shifting post-Urban Revitalizationin the Semarang Old City
Get PDFThe Semarang Old City revitalization has changed its physical appearance significantly, from a slum and crowded area to a more organized, pleasant, and attractive one. The revitalization is one of the Mayor's missions after being reelected in 2015 to enhance the Old City’s image as a prominent historical tourist destination. The government established a regulation prohibiting informal activities in the Old City. Informality is considered an interference in urban areas, including spaces that accommodate informal activities through illegal acquisition. However, informal activities persist in the Old City, shifting the physical setting and transforming the spatial utilization. Therefore, this study aimed to examine the transformation of informal spaces in the Old City after revitalization. Quantitative methods were used by distributing questionnaires to informal activity workers and interviews with the Old City manager. The results showed spatial utilization and relation transformations, a close relationship between informal and formal activities, and no conflict regarding spatial utilization. However, the relationship between formal and informal spaces changed after the revitalization. Formal activities prefer clear spatial boundaries, making informal space utilization and pattern more dynamic
Study of Socio-Economic-Cultural Impacts and Community Health Due to Oil and Natural Gas Exploration Activities in the Tuban Oil and Gas Field
Get PDFThis research is a social study by capturing several problems in the oil and gas sector combined with literature studies that have relevant themes. This study aims to determine the social, economic, cultural and health impacts of the oil and gas company's exploration activities in the Tuban Oil and Gas Field. Data collection was in the form of primary data and secondary data in semester II of 2018. The methods used in this study were qualitative and quantitative methods. Qualitative methods taken from primary data, namely observation and interviews. Primary data were obtained through direct observation and interviews with respondents selected by purposive sampling. The quantitative method uses secondary data obtained from research documents and reports relating to government agencies and companies. Primary data and secondary data were combined and then conducted interviews to obtain deeper information using the forum group discussion (FGD) method. The final data obtained were analyzed using descriptive statistical methods. The results of the study show that there are jobs for local workers, but the information is still not transparent and most of the jobs are temporary projects. Most people know and feel the benefits of the presence of oil and gas companies in their area. The community expects the company's attention to reduce people's concerns about oil and gas activities. Conflicts often occur due to delays in the disbursement of compensation funds and the implementation of CSR, as well as several oil and gas company activities that have a direct impact on the community. The company's efforts to boost the local economy by increasing employment opportunities and increasing wage rates. Meanwhile, in terms of public health, it cannot be determined with certainty whether there is a correlation between disease and the activities of oil and gas companies. In general, oil and gas companies have a positive impact on the community around the working areas of oil and gas companies
Spatial Distribution Pattern of Hypertension: Case of Jakarta, Indonesia
Get PDFHypertension is one type of Non-communicable Disease (NCD) that is a burden on the government in disease control every year. Hypertension is caused by various risk factors. Most of the risk factors for hypertension are lifestyles that can be changed. This study aims to determine the pattern of distribution of hypertension cases based on risk factors, social factors, health care facilities. The spatial approach was used to determine the spatial relationship between hypertension risk factors and hypertension cases in the Jakarta province. The spatial approach was used to determine the spatial relationship between hypertension risk factors and hypertension cases in the Jakarta province. The results showed that the screening program variable had a spreading pattern with a negative spatial relationship and there was a spatial interaction between the screening program variables and hypertension cases. Improving the quality and quantity of Non-communicable Disease Integrated Assistance Post activities of local health centers, which are the front line in preventive and promotive activities is expected to be the key to successful control of hypertension cases in the Jakarta
Carbon Stock Estimation From Vegetation Biomass Using Spot-7 Imagery
Get PDFVegetation absorbs carbon dioxide (CO2 ) emissions during photosynthesis. Covering more areas with trees will increase the CO2 absorption capacity more substantially than other vegetation like bushes, grasses, or rice fields. Trees convert the CO2 captured during photosynthesis into organic carbon to be stored in biomass. Woody trees account for approximately 60% of the total aboveground tree biomass, and trunks, where food reserves produced in photosynthesis are stored, have relatively large biomass compared to other parts of the tree. The biomass of a vegetation stand determines the optimization of air pollutant absorption in urban areas. Yogyakarta City is the center for tourism, education, and cultural activities in Indonesia, which is vulnerable to land-use conversion, a factor of the shrinking green space. This study aimed to estimate carbon stock from vegetation biomass in Yogyakarta City using the remote sensing product SPOT-7 imagery. To calculate the vegetation biomass, the diameter at breast height (DBH) of stands was measured in the field. Then, statistical analyses were performed to determine the correlation and regression between the actual or observed biomass and the Normalized Difference Vegetation Index (NDVI) value derived from the SPOT-7 image. The regression model used was y = 1.4277x – 0.0849. The total biomass produced in Yogyakarta City was estimated at 1,399,487.1 tonnes, which contained 643,764.1 tonnes of carbon stock
The effect of vegetation cover on dust concentration: Case study (Constantine, Algeria)
Get PDFEven though urban greenery is crucial in maintaining a healthy and pollution-free environment, metropolitan areas are facing a significant threat from pollution, particularly dust particles. Therefore, this study used the advanced remote sensing techniques to explore the relationship between dust concentration and vegetation cover in Constantine, Algeria. As urban development continues to encroach upon green spaces, pollution, especially dust particles, has emerged as a pressing concern in metropolitan areas. This study used data from USGS and GLOvis for climate analysis, while Landsat images from GEE were employed for accurate mapping. Multiple years of comprehensive datasets were collected, including land cover maps, Aridity Index (AI), precipitation data, and Normalized Difference Vegetation Index (NDVI) maps, which underwent thorough analysis. NDVI and Dust Index (DI) were employed to evaluate the impact of vegetation on dust concentration. The result showed that the presence of vegetation directly affects dust levels, and DI exhibits variations over time in relation to the values of NDVI. This study highlights the critical significance of preserving and enhancing urban greenery to mitigate dust pollution and foster a healthier environment
Identification of Sea Surface Temperature Anomaly during Earthquake in Southern Java Island using Google Earth Engine Datasets
Get PDFThe certainty of Sea Surface Temperature (SST) anomaly during earthquakes in Java Island was still not clear identified. This research tried to identify any possibilities of SST anomaly during earthquake in Southern Java Island. It used Google Earth Engine datasets including daily NOAA Climate Data Record (CDR) - Woods Hole Oceanographic Institution (WHOI): Sea Surface Temperature Version 2 which has resolution of 0.25 arc degrees for 20 years and processed them to depict SST trends in pre-earthquake and post-earthquake situation. The statistic test of t-Test Paired Two Sample was also applied to certain the significant difference of SST in both situations. SST fluctuation during the earthquake was still inconsistent and unclear to consider as an anomaly. There were other complicated factors excluding earthquake to influence SST fluctuation. The earthquake did not trigger directly to fluctuate SST, even not to make it being an anomaly
Assessing the Reliability of Satellite-Derived Evapotranspiration Data Using Numerical Modified Penman Method at Citarum Watershed
Get PDFEvapotranspiration is an essential part of water availability analysis and crop water needs that are useful to estimate irrigation water demand. Since discharge measurement stations are limited, the analysis of water availability is the most important part of water management planning. Citarum watershed is the biggest watershed in West Java, supplies raw water to Jakarta, the capital city of Indonesia. Modified Penman is the common equation to analyze evapotranspiration, which was developed by Food and Agriculture Organization (FAO) and modified for tropical areas. Evapotranspiration is one term of the water balance equation. To determine water losses, it is necessary to solve this equation. Another source of evapotranspiration data is provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite's standard product, MOD16A2. In order to used the evapotranspiration satelilite data to fullfill the lack of groud station data, the reliability of satelite data is needed. The objective of this study is to compares and analyzes the reliability of satellite evapotranspiration potential images with the numerical Modified Penman method at Citarum Watershed. Modified Penman is one of several methods that calculate the evapotranspiration potential based on climate data. MOD16A2 was used for simulation data, and Modified Penman was used for baseline data. The reliability of the two simulations was analyzed by the skewness percentage of each pixel and period. The distribution of percent skewness indicates the performance of satellite evapotranspiration on the Modified Penman that represents the actual condition. The sensitivity of satellites is greatly affected by local weather conditions