Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280667
Amaliah Khoirun Nisyak, F. Ramdani, Suprapto
Although Batu City is more famous as a tourism city, agriculture still plays an important role in the economy of Batu City. The most dominant agricultural in the Batu City is the horticultural plants. In addition to horticultural plants, Batu City is also a producer of rice plant. But there are not many areas planted with rice plant in Batu City. In 2013, it was recorded by BPS that the area of paddy field cultivation in Batu City is 8,275,637 m2, in Batu sub-district is 1,226,352 m2, in Junrejo sub-district is 5,922,992 m2, and in Bumiaji sub-district is 1,126,293 m2. According to the results of the interviews from the Department of Agriculture and Forestry of Batu City, within one year, the land of rice plant is only planted with rice once or twice that should be done 3 times a year. It is because the farmers do not know the land is actually appropriate or not for rice plant. Department of Agriculture and Forestry of Batu City currently does not yet have data that related to the land is actually appropriate or not for planting rice. The data is required, so it can be used as a reference in managing agricultural land. To get the results of the land suitability, this study will apply the methods of GIS-MCDA (Multi Criteria Decision Analysis), which used 9 criterias (elevation, slope, rainfall, light intensity, temperature, air moisture, type of soil, soil pH, and river) that affect the suitability of the land and the result will be applied in Geographic Information Systems (GIS) based on the web. GIS based on the web (Web-GIS) is built according to the architectural design. Web-GIS architecture consists of 3 layers, i.e. the Client Layer, Service Layer, and Layer Support. With the creation of this Web-GIS, is expected to land suitability analysis result can be visualized better and can provide the information properly and clearly for users. Based on the result of land suitability analysis, this research get four results of land suitability class i.e., S1, S2, S3, and NS. Total area of suitability class of S1 is 739.42 ha with percentage 3.7%, total area of suitability class of S2 is 7375.91 ha with percentage 37%, total area of suitability class of S3 is 3706.20 ha with percentage 18.6%, and total area of suitability class of NS is 8120.02 ha with percentage 40.7%.
{"title":"Web-GIS development and analysis of land suitability for rice plant using GIS-MCDA method in Batu city","authors":"Amaliah Khoirun Nisyak, F. Ramdani, Suprapto","doi":"10.1109/ISYG.2017.8280667","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280667","url":null,"abstract":"Although Batu City is more famous as a tourism city, agriculture still plays an important role in the economy of Batu City. The most dominant agricultural in the Batu City is the horticultural plants. In addition to horticultural plants, Batu City is also a producer of rice plant. But there are not many areas planted with rice plant in Batu City. In 2013, it was recorded by BPS that the area of paddy field cultivation in Batu City is 8,275,637 m2, in Batu sub-district is 1,226,352 m2, in Junrejo sub-district is 5,922,992 m2, and in Bumiaji sub-district is 1,126,293 m2. According to the results of the interviews from the Department of Agriculture and Forestry of Batu City, within one year, the land of rice plant is only planted with rice once or twice that should be done 3 times a year. It is because the farmers do not know the land is actually appropriate or not for rice plant. Department of Agriculture and Forestry of Batu City currently does not yet have data that related to the land is actually appropriate or not for planting rice. The data is required, so it can be used as a reference in managing agricultural land. To get the results of the land suitability, this study will apply the methods of GIS-MCDA (Multi Criteria Decision Analysis), which used 9 criterias (elevation, slope, rainfall, light intensity, temperature, air moisture, type of soil, soil pH, and river) that affect the suitability of the land and the result will be applied in Geographic Information Systems (GIS) based on the web. GIS based on the web (Web-GIS) is built according to the architectural design. Web-GIS architecture consists of 3 layers, i.e. the Client Layer, Service Layer, and Layer Support. With the creation of this Web-GIS, is expected to land suitability analysis result can be visualized better and can provide the information properly and clearly for users. Based on the result of land suitability analysis, this research get four results of land suitability class i.e., S1, S2, S3, and NS. Total area of suitability class of S1 is 739.42 ha with percentage 3.7%, total area of suitability class of S2 is 7375.91 ha with percentage 37%, total area of suitability class of S3 is 3706.20 ha with percentage 18.6%, and total area of suitability class of NS is 8120.02 ha with percentage 40.7%.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280669
Lukas Sada Arihta Sinulingga, F. Ramdani, Mochamad Chandra Saputra
Along with the increasing numbers of drone user and hobbyist, government of Indonesia release the regulation about operating drone. The outline of the regulation essentially mention about flying drones are limited in some categories; prohibited area, restricted area, safety flight operations area, controlled airspace and uncontrolled airspace at an altitude of 500ft (150m) above. Due to the lack of information about the released regulation, many drone pilots operate their drones illegally. As a result, many cases occurred like drones get stuck in the rooftop, or drone crashes into airplane, and many other cases. Therefore one that will be able to resolve this issue is implementing Geographic Information System (GIS) technology. With GIS, all spatial issues can be analysed systematically and provide proper information and recommendation. Several methods in GIS concept, had been used to analyse spatial data. Spatial Multi-Criteria Evaluation (SMCE) is one of the methods to solve this issue. SMCE decompose the problem into smaller criteria and parameters hierarchically. In this research, criteria are taken from regulation by Ministry of Transportation. The result obtained from this implementation is geo-spatial data visualization and distinguished by colour as the result from aggregation many spatial data and suit with the criteria. The geo-visualization result will be exported to Android mobile phone so that drone pilots are able to use this application in everywhere and fly safe with its drone. This app will be ready to be downloaded from PlayStore in the near future.
{"title":"Spatial multi-criteria evaluation to determine safety area flying drone","authors":"Lukas Sada Arihta Sinulingga, F. Ramdani, Mochamad Chandra Saputra","doi":"10.1109/ISYG.2017.8280669","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280669","url":null,"abstract":"Along with the increasing numbers of drone user and hobbyist, government of Indonesia release the regulation about operating drone. The outline of the regulation essentially mention about flying drones are limited in some categories; prohibited area, restricted area, safety flight operations area, controlled airspace and uncontrolled airspace at an altitude of 500ft (150m) above. Due to the lack of information about the released regulation, many drone pilots operate their drones illegally. As a result, many cases occurred like drones get stuck in the rooftop, or drone crashes into airplane, and many other cases. Therefore one that will be able to resolve this issue is implementing Geographic Information System (GIS) technology. With GIS, all spatial issues can be analysed systematically and provide proper information and recommendation. Several methods in GIS concept, had been used to analyse spatial data. Spatial Multi-Criteria Evaluation (SMCE) is one of the methods to solve this issue. SMCE decompose the problem into smaller criteria and parameters hierarchically. In this research, criteria are taken from regulation by Ministry of Transportation. The result obtained from this implementation is geo-spatial data visualization and distinguished by colour as the result from aggregation many spatial data and suit with the criteria. The geo-visualization result will be exported to Android mobile phone so that drone pilots are able to use this application in everywhere and fly safe with its drone. This app will be ready to be downloaded from PlayStore in the near future.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129027748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280670
Norman Plb Riwo Kaho, I. Mandaya, S. Hobgen
Sustainable natural resource management, requires spatial land resource data. Since decentralization of governance occurred in Indonesia, financial and human capacity for natural resource mapping, monitoring and modelling remains low in Regencial and Provincial governments. This presentation demonstrates new opportunities provided by the increasing availability of free satellite imagery, digital elevation data and open source spatial analysis software for local government and NGOs to conduct sophisticated natural resource mapping and modelling in a way that meets their needs and incorporates local knowledge. To improve the skills of natural resource managers, remote sensing, terrain analysis and GIS skills need to be taught in universities using free open source software. New Indonesian language training materials provide the missing link for training of local government officers (see sagagisindonesia.wordpress.com.) Reported are cases of local researchers trained in GIS and remote sensing applying free geospatial data and tools in eastern Indonesia with a particular focus on raster data applications for satellite image analysis and DEM terrain modelling.
{"title":"Free open source geospatial tools for improving natural resource management","authors":"Norman Plb Riwo Kaho, I. Mandaya, S. Hobgen","doi":"10.1109/ISYG.2017.8280670","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280670","url":null,"abstract":"Sustainable natural resource management, requires spatial land resource data. Since decentralization of governance occurred in Indonesia, financial and human capacity for natural resource mapping, monitoring and modelling remains low in Regencial and Provincial governments. This presentation demonstrates new opportunities provided by the increasing availability of free satellite imagery, digital elevation data and open source spatial analysis software for local government and NGOs to conduct sophisticated natural resource mapping and modelling in a way that meets their needs and incorporates local knowledge. To improve the skills of natural resource managers, remote sensing, terrain analysis and GIS skills need to be taught in universities using free open source software. New Indonesian language training materials provide the missing link for training of local government officers (see sagagisindonesia.wordpress.com.) Reported are cases of local researchers trained in GIS and remote sensing applying free geospatial data and tools in eastern Indonesia with a particular focus on raster data applications for satellite image analysis and DEM terrain modelling.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127689440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280677
F. Ramdani, Nasrulloh Loka, Alfiyan Arief, Ika Qutsiati Utami
The urban environment are characterized by various materials and land cover surfaces than found in common scenes. Data gotten from satellite imagery has been used to map the detail of urban environment. However, there is very limited scientific documentation on the identification procedure of living creatures in urban areas till date. This study describes the small scale geometric properties (i.e., human) based-on blending ultrahigh resolution optical and LIDAR data. We additionally illustrated how new remote detecting innovations can enhance our capacities to outline regions in ultra-high spatial and portioned detail. The result appears promising for detecting mobile living creatures. This study used only the Free and Open Source Software (FOSS) to promote FOSS in urban remote sensing studies.
城市环境的特点是不同的材料和土地覆盖表面，而不是在常见的场景中发现。从卫星图像中获得的数据被用来绘制城市环境的细节。然而，迄今为止，关于城市地区生物鉴定程序的科学文献非常有限。本研究描述了基于超高分辨率光学和激光雷达数据混合的小尺度几何特性(即人体)。我们还说明了新的远程探测创新如何增强我们以超高空间和分割细节勾勒区域的能力。这一结果似乎有望用于检测移动生物。本研究仅利用自由开源软件(Free and Open Source Software, FOSS)推动城市遥感研究中的自由开源软件。
{"title":"Blending ultra-high resolution optical sensor and lidar data to identify mobile living creatures","authors":"F. Ramdani, Nasrulloh Loka, Alfiyan Arief, Ika Qutsiati Utami","doi":"10.1109/ISYG.2017.8280677","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280677","url":null,"abstract":"The urban environment are characterized by various materials and land cover surfaces than found in common scenes. Data gotten from satellite imagery has been used to map the detail of urban environment. However, there is very limited scientific documentation on the identification procedure of living creatures in urban areas till date. This study describes the small scale geometric properties (i.e., human) based-on blending ultrahigh resolution optical and LIDAR data. We additionally illustrated how new remote detecting innovations can enhance our capacities to outline regions in ultra-high spatial and portioned detail. The result appears promising for detecting mobile living creatures. This study used only the Free and Open Source Software (FOSS) to promote FOSS in urban remote sensing studies.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123461481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-11-01DOI: 10.1109/ISYG.2017.8280672
Cendy Nelasari, F. Ramdani, Fahrudin Wahabi, Satrio Agung Wicaksono, Hilma A'yunina Ifada, Mochamad Chandra Saputra
Batu and Malang are industrial, tourism and educational cities. With population growth and increased volume of vehicles causing several problem such as crime and traffic accident. One of the method that used for crime mapping is Street Profile Analysis. But, in this case study, street profile analysis is also used to map an traffic accident with the addition of spatial analysis before. Result of this research shows that crime occured between 2014 to 2016 for each of the road has increased, and very significant on Jl. Myjend Panjaitan from 2015 to 2016. Meanwhile, for traffic accident case study in Batu City shows that from 2013–2016 the road that vulnerable are Jl. Suropati No. 43–45, Jl. Oro-oro Ombo No. 200, Jl. Waturejo No. 16, and Jl. Panglima Sudirman No. 507.
{"title":"Crime and traffic accident mapping based on street profile analysis method: Case study malang and Batu city","authors":"Cendy Nelasari, F. Ramdani, Fahrudin Wahabi, Satrio Agung Wicaksono, Hilma A'yunina Ifada, Mochamad Chandra Saputra","doi":"10.1109/ISYG.2017.8280672","DOIUrl":"https://doi.org/10.1109/ISYG.2017.8280672","url":null,"abstract":"Batu and Malang are industrial, tourism and educational cities. With population growth and increased volume of vehicles causing several problem such as crime and traffic accident. One of the method that used for crime mapping is Street Profile Analysis. But, in this case study, street profile analysis is also used to map an traffic accident with the addition of spatial analysis before. Result of this research shows that crime occured between 2014 to 2016 for each of the road has increased, and very significant on Jl. Myjend Panjaitan from 2015 to 2016. Meanwhile, for traffic accident case study in Batu City shows that from 2013–2016 the road that vulnerable are Jl. Suropati No. 43–45, Jl. Oro-oro Ombo No. 200, Jl. Waturejo No. 16, and Jl. Panglima Sudirman No. 507.","PeriodicalId":316247,"journal":{"name":"2017 International Symposium on Geoinformatics (ISyG)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125195913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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