The coastal area of Semarang City has a strategic function for regional economic development. Due to land use change, the environmental quality of coastal area is damaged and declining. The environmental quality decline has affected the socio-economic quality of local community. This research aims to investigate the role of local community in sustainable environmental management in Semarang City coastal area. The study takes place in two kelurahans, namely Tugurejo and Mangunharjo, and applies a descriptive qualitative approach to figure out the local community role in the coastal environment rehabilitation. Data collection through a preliminary survey supported with a satellite imagery study covers up an appropriate ecosystem with the research substance. Then the following data analysis and interpretation uses Miles and Huberman interactive analysis method. The results show the significant role of the local community in coastal area quality management and improvement in Semarang City more effectively and efficiently. This relates to their active interactions in various community-based programs including wave-breaking instrument building and mangrove nursery and planting.
Land use change in urban areas could not be avoided as consequence of land requirement incensement. The high density of developed land in the central city have pushed the development towards the periphery. This article examines the result of Landsat image analysis using remote sensing (RS) and geographic information system (GIS) technology to monitor green open spaces change to temperature changes in Semarang. Data source which used in this study are Landsat 5 Image in 2003, and Landsat 8 Image in 2015. This uses multispectral classification method with a supervised approach to get land use condition serially (time series). Surface temperature processed based on radiance value in band 6 of Landsat 5 and the value in band 10 and 11 of Landsat 8 TIRS. Temperature changes were seen quite significant in the west side of Semarang City, include Ngaliyan District, Mijen District and Gunungpati District. The change occurs in an average range of 20.75 0 C to 22.07 0 C. Along with the temperature changes, based on image analysis result showed that green open spaces in all of three districts were decreased from 48.75 km2 to 22.98km2. In general, the green open spaces change throughout Semarang City from 15.28% to 9.91% within a period of 12 years (2003-2015).
Abstract-The2 , and second 27,18km 2 . The impact of land use change and population growth is an intrusion. Based on laboratory tests show that Pekalongan city intrusion on high category. The region within distance 500-600m from the coastline has salinity level of 6,7 to 15.5%, 800-900m has a salinity level of 2,9 to 6.6%, 1-1.5km has a salinity level of 1,4 to 2,8. Conclusion, land use change on Pekalongan City rather high, especially shrub, and dry agriculture changes into a settlement and built area. Furthermore, the coefficient correlation between population and built area is high (0,93). These include a significant difference final result of simulation using Landuse Sim with linear approach and consider the expense of population growth influence. Furthermore, land use change on Pekalongan city drives an environmental problem, for instance intrusion.
The water quality in the northern coastal waters estuary of Central Java has been polluted at a moderate to severe level. Water quality monitoring efforts for evaluating the condition of dissolved sedimentation can be done through total suspended solid methods by analising the remote sensing imagery. Total suspended solid (TSS) is measured by suspended material (diameter> 1 µm) which retained in the millopore filter with a 0.45 µm pore diameter. The purpose of this research is to assess the distribution of TSS concentrations in the research location. This study was conducted using Landsat 8 image data on August 9th, 2018. TSS concentration values were obtained through linear regression tests Doxaran algorithm which is the most suitable algorithm with the field condition. The results showed that: 1) The appropriate empirical algorithm for mapping TSS concentrations is the Doxaran algorithm with the TSS equation = 1.0248x - 10.503, 2) Distribution of TSS with the range >75 mg/l mostly concentrated in center and west of the study area, while the concentration with range <75 mg/l is concentrated in the east, and 3) Distribution of TSS is affected by the movement of currents driven by the wind towards the west and southwest and partly collected in the western part of the study area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.