Journal of Applied Geospatial Information
Journal of Applied Geospatial Information (JAGI) is a national and international peer review journal published by Politeknik Negeri Batam. The JAGI is issued 2 times a year in electronic form, publishes Original Research Articles (full papers and short communications) and Review (full and mini reviews) in all aspects of result research in the field of science/engineering: terrestrial and marine (geomatics, geophysics, geography, geology, geographic information systems, remote sensing, cartography, oceanography, hydrography, marine science and technology).
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<![CDATA[Land Use and Its Suitability to the Spatial Pattern in Batam City ]]>
<![CDATA[Novika Dora]]>;
<![CDATA[Arif Roziqin]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.1973
<![CDATA[Land use continues to grow as population increases in an area, various activities and human needs require land. Land use will affect the suitability of the spatial pattern determined by the Government stipulated in the laws and regulations governing spatial patterns. The purpose of this research is to identify land use that occurred in Batam City in 2019 and determine the suitability of the land use of the Batam City spatial pattern. In this study, the spatial pattern used is the spatial pattern obtained from BP Batam, this is because the spatial pattern originating from the Batam City Government has not yet been approved. The research method used is the method of Classification of Multispectral Maximum Likelihood and Overlay. The results of the map show the class of land use classifications totaling 11 classes in accordance with the class III land use classification class specified by Malingreau, which consists of lakes, forests, industry, pool, bare land, mangroves, ports, plantations, settlements, airports, and livestock. The results of the suitability of land use maps to the spatial pattern of Batam City indicate that the area of the area that is in accordance with the spatial pattern is 30986.77 Ha and the area that is not suitable is 34554.29 Ha.]]>
<![CDATA[Spatial-Temporal Variability of Chlorophyll-a Concentration in Cenderawasih Bay and Surrounding Waters ]]>
<![CDATA[Alianto Alianto]]>;
<![CDATA[Baigo Hamuna]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2003
<![CDATA[Chlorophyll-a is one of the parameters determining the primary productivity of water. In the fisheries sector, information on chlorophyll-a concentration in marine waters is very important for the prediction of fishing grounds. This study aims to analyze the variability of chlorophyll-a concentrations in Cenderawasih Bay and the surrounding waters, both spatial and temporal variability. Data from the Aqua-MODIS Level 3 monthly composite period from January to December 2019 was used to determine the concentration of chlorophyll-a. Time-series data are used to determine fluctuations of chlorophyll-a concentrations, while interpolation with the kriging method is used to determine the spatial distribution of chlorophyll-a. The analysis showed that the monthly average value of chlorophyll-a concentration in the study area ranged from 0.1988 – 0.3415 mg.m-3. The average value of chlorophyll-a concentration increases from March to June and then decreases in July or August. The highest average chlorophyll-a concentration was in March and the lowest in January. The maximum chlorophyll-a concentration in April and the minimum in August, which is around 9.1089 mg.m-3 and 0.0975 mg.m-3, respectively. The concentration of chlorophyll-a in Cenderawasih Bay and its surrounding waters is dominated by a low concentration, which ranges 0.1482 – 0.3158 mg.m-3. Generally, the variability of chlorophyll-a concentrations in the study area is influenced by seasons. The average chlorophyll-a concentration is high in the Transition I (West-east) and East seasons and will decrease in Transition II (East-West) until the West season. Spatially, chlorophyll-a concentrations in coastal areas are higher than in offshore waters. High chlorophyll-a concentrations are found around the border between Nabire Regency and Waropen Regency. The amount of run-off flow that supplies nutrients from the mainland greatly affects the high concentration of chlorophyll-a in the coastal area.]]>
<![CDATA[Analysis of Built-up Land Spatial Patterns Using Multitemporal Satellite Imagery in Pekalongan City ]]>
<![CDATA[Nurhadi Bashit]]>;
<![CDATA[Yudo Prasetyo]]>;
<![CDATA[Abdi Sukmono]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2014
<![CDATA[Regional growth is characterized by an increase in built-up land. An increase in built-up land can cause changes in land use such as vacant land turned into built-up land. One of the cities in Central Java that experienced an increase in built-up land was in the City of Pekalongan. Based on Pekalongan City Regulation Number 30 Year 2011, the National Spatial Planning stipulates that Pekalongan City is the Regional Activity Center. This causes the Pekalongan City to have the potential to increase the amount of built-up land. An increase in uncontrolled built-up land can cause negative impacts such as reduced water catchment areas so that the disruption of water resources conditions. Therefore, it is necessary to monitor the increase of built-up land in Pekalongan City and see its development spatial patterns. One of method for monitoring a city's built-up land uses the remote sensing method. This study uses an Index-based Built-up Index (IBI) algorithm. Based on the results of this study, it can be concluded that the city of Pekalongan experienced an increase in built-up land between 2013 and 2019. The largest increase in built-up land is in the range of 2017 to 2019 with an area of increase of 359.088 ha so that it can be obtained the speed of increase of built-up land by 170.544 ha/year. The spatial pattern of built-up land increased in 2017 to 2019 heading south because South Pekalongan Regency has a toll road that connects the main road with the toll road.]]>
<![CDATA[Analysis of Green Land Changes to Building Land Using Geographic Information System (GIS) in Salatiga City from 2013 to 2019 ]]>
<![CDATA[Riska Vennithasari]]>;
<![CDATA[Frederik Samuel Papilaya]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2048
<![CDATA[The land is a crucial element in human life as space and resource. The development of a region will not be neglected by the use of land. Data from BPS Salatiga 2013 to 2019 shows an average increase in population reaching 1.45%. Land-use changes in a region will affect the geographical conditions of the region itself. Therefore, the latest information is needed in order to anticipate continuous changes. The research was conducted in Salatiga and the time of the study starts in August 2019 until January 2020. The purpose of this research is to see and analyze the extent of each transformation of the land use and land cover changes by utilizing Landsat 8 Satellite Imagery in 2013-2019. Data processing in this study uses spatial analysis overlay technique that combined with unsupervised classification and confusion matrix method through SAGA GIS software. The results of data processing will afford new maps and land use change tables then explained descriptively. Based on the analysis that has been done, In 2013, the land use in Salatiga was dominated by green land of 3.031,29 ha which was then followed by land use for built-up land reaching 2.033,91 ha. And in 2019, land use was still dominated by green land of 2.499,03 ha which was then followed by the use of built-up land of 2.483,64 ha. The final result of the area of Salatiga in 2013 - 2019 which experiencing land change from a green land to be built up land is 755,91 hectares.]]>
<![CDATA[Characteristic of Sea Waves Southern Batam City waters-Northen Lingga District waters ]]>
<![CDATA[Soedrajad Haryo Adji]]>;
<![CDATA[Risandi Dwirama Putra]]>;
<![CDATA[Mario Putra Suhana]]>;
<![CDATA[Try Febrianto]]>;
<![CDATA[Chandra Joei Koenawan]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.1458
<![CDATA[The southern Batam City sea and northern of Lingga District sea are often used by fishing locations and shipping traffic from Batam City to Lingga District. Southern of Batam City sea-northen Lingga District sea have uncertain sea wave conditions that can affect the stability of ship traffic. The purpose of this study is to determine characteristic of sea waves along with wind speed and directions. Characteristic analysis of ocean waves using the SPM (Shore Protection Manual) method from wind direction and speed data in 2018. The height of ocean waves in the northen Batam City sea-southern Lingga District during 2018 is 2.59 meters with periods of 8.47 s up to 0.005 m with a period of 0.39 s. The average wave height in 2018 is 0.69 m with sea wave characteristic patterns still following seasonal wind conditions. The highest sea wave height conditions are in the northern season due to the geographical location of the southern Batam City sea-southern Lingga District sea in the Northern Hemisphere.]]>
<![CDATA[Environmental Impact Analysis on School Building Reconstruction (Case Study: SDN Sukatani 7, Depok City) ]]>
<![CDATA[Alimuddin Alimuddin]]>;
<![CDATA[Rulhendri Rulhendri]]>;
<![CDATA[Nurul Chayati]]>;
<![CDATA[Jafar Sidik]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2106
<![CDATA[In order to improve educational facilities and infrastructure, Department of Housing and Settlements, Depok City plans to reconstruction a school building. With the impacts caused by this activity, an environmental impact assessment is needed. The purpose of this study is to obtain the results of an analysis of environmental impact studies and ways of mitigation in minimizing the impacts that occur during pre construction stage, construction stage, and operation stage. The method used is observation, interview and scoping methods to determine the impact and good handling of the environment. The results of this study are obtained an analysis of environmental impacts that occur during the activity and how to minimize the impacts with good handling in order to create an environmental friendly construction.]]>
<![CDATA[Data Integration Through WebGIS to Inform Spatial Status of Coral Reefs in Lampung Province, Indonesia ]]>
<![CDATA[Adib Mustofa]]>;
<![CDATA[Budhi Agung Prasetyo]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2148
<![CDATA[Data integration of structured ecosystem monitoring is crucial to support decision making for better marine ecosystem management. Coral reef monitoring data had been carried out in several separated studies in Lampung Province. However, lacks data integration among scientists and institutions making them inefficient as a basis of science for ecosystem management and decision making. This study was aimed to integrate available coral reef data in the last 15 years in Lampung Province and inform the spatial status of coral reef cover through WebGIS. Secondary data of coral reef study in the last 15 years were acquired from published articles and online-available-institutional reports. Data were then converted to digital mode prior to publishing them in the form of a website database through WebGIS. Results suggested that there were four main areas of coral reef studies in Lampung Province, namely Lampung bay, Krakatau, Bakauheni, and Lampung west coast. One-way ANOVA analysis of the last 5-year coral data shown there were no spatial differences on coral cover the four areas. Coral cover in Lampung west coast was generally in good shape at 56.13±1.74% and was higher compared to those in Lampung bay, Bakauheni, dan Krakatau regions, at 46.57±2.23%, 36.48±1.58%, and 35.6±3.69%, respectively. All coral data was published through WebGIS at https://sll.itera.ac.id/research/webgis . It is recommended this WebGIS could serve as a reference to conduct long-term coral reef monitoring in Lampung since it provides coordinates and coral reef status as baseline data for further analysis of coral reefs ecosystem.]]>
<![CDATA[Estimated Land and Building Tax using Aerial Photography (Case Study: Tingkir District, Salatiga City) ]]>
<![CDATA[Josef Allen]]>;
<![CDATA[Frederik Samuel Papilaya]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2216
<![CDATA[Salatiga, a city that borders directly and is surrounded by Semarang Regency. It has an area of 56.78 km2, with four sub-districts including, Sidorejo Regency, Argomulyo Regency, Tingkir Regency, and Sidomukti Regency, which covers 23 villages. The city of Salatiga has a fairly high population density with a proportion of more than 3300 inhabitants / km2. In this study took place in the Central Tingkir and Tingkir Lor areas by taking several points that are considered as housing as a case study. This study aims to estimate the price of land and building tax on an object of land and building tax. The process of this research uses aerial photo processing, where aerial photographs will be processed using professional software Agisoft photoscan to become an orthophoto, digital surface models and digital terrain models to obtain building area and land area data, then digital surface models and digital terrain models are processed . with ArcGIS 10.6 software using a raster calculator to get the height of the object to be used as the height of the building. The data obtained will be used to perform land and building tax calculations. The results of this study estimate the estimated land and building tax prices of at least IDR 37,313.00 and a maximum value of IDR 3,809,763.00.]]>
<![CDATA[Mapping Land Coverage in the Kapuas Watershed Using Machine Learning in Google Earth Engine ]]>
<![CDATA[Trida Ridho Fariz]]>;
<![CDATA[Ely Nurhidayati]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2256
<![CDATA[Land cover information is essential data in the management of watersheds. The challenge in providing land cover information in the Kapuas watershed is the cloud cover and its significant area coverage, thus requiring a large image scene. The presence of a cloud-based spatial data processing platform that is Google Earth Engine (GEE) can be answered these challenges. Therefore this study aims to map land cover in the Kapuas watershed using machine learning-based classification on GEE. The process of mapping land cover in the Kapuas watershed requires about ten scenes of Landsat 8 satellite imagery. The selected year is 2019, with mapped land cover classes consisting of bodies of water, vegetation cover, open land, and built-up area. Machine learning that tested included CART, Random Forest, GMO Max Entropy, SVM Voting, and SVM Margin. The results of this study indicate that the best machine learning in mapping land cover in the Kapuas watershed is GMO Max Entropy, then CART. This research still has many limitations, especially mapped land cover classes. So that research needs to be developed with more detailed land cover classes, more diverse and multi-time input data.]]>
<![CDATA[Geographic Information System for Mapping the Spread of COVID-19 in the city of Salatiga ]]>
<![CDATA[Joshua Rondonuwu]]>;
<![CDATA[Kristoko Dwi Hartomo]]>;
<![CDATA[Hanna Prillysca Chernovita]]>
<![CDATA[ Journal of Applied Geospatial Information Vol 4 No 2 (2020): Journal of Applied Geospatial Information (JAGI) ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jagi.v4i2.2351
<![CDATA[The city of Salatiga, located in the province of Central Java, is one of the cities affected by the spread of COVID-19 in Indonesia. The first COVID-19 case in the city of Salatiga was confirmed on 31 March 2020 until now it has reached more than eighty people. The increasing number of cases and the lack of information on the spread of COVID-19 and the information provided are static. This information, this research aims to build and utilize the WebGIS application as one of the information for the spread of COVID-19 in Salatiga. Mapping the area in this application uses a shapefile file and is converted to a GeoJSON file. It uses Blogspot as web hosting and javascript leaflets to display GIS maps and designs and uses the Exponential Smoothing method to forecast COVID-19 cases and use the web equal 4.0 method for website testing. The results of this study to provide information about the spread of COVID-19 in the city of Salatiga. Interactive map and forecasts of COVID-19 cases in the city of Salatiga. In this study, the single exponential smoothing has the smallest MAPE value, namely 35.2360. It results in a prediction on July 20 to 26, 2020, which has decreased to 1 positive case consisting of the lowest number in this forecasting is -2. The highest number shows four positive cases. And the website testing using the webqual 4.0 standard, respondents agreed with the website's usability and information quality, and it was sufficient for website service interaction.]]>
