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INDONESIA
Journal of Applied Geospatial Information
Published by Politeknik Negeri Batam
ISSN : -     EISSN : 25793608     DOI : -
Core Subject : Science, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Physics
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).
Arjuna Subject : -
Articles 142 Documents
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Mapping The Agriculture Land of The Land Farmers in The South Coast of Kulon Progo Indreswari Suroso; Ferry Setiawan
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.4782

Abstract

The south coast land of Kulon Progo on the beginning was sandy and infertile soil. The land then was converted into agriculture land, chilli farm based on the idea of the agriculture expert, Mr. Karman. This study aimed to map the agriculture land in Bidadara coast, Panjatan district, Kulon Progo because of the the success of the coastal farmers on producing an abundance of chilli harvest. The method used was interviews and field observation. The deviced used for mapping was DJI Mavic 2 Pro multicopter drone operated approximately for 20 minutes. The result of this study was aerial photos of drone shots with a height of 20 meters, 30 meters, and 50 meters above ground level onto the soil conditions adjacent to Bidara Beach, Panjatan, Kulon Progo. It was seen that the stretch of coastal land was planted with coconut trees and chilies. Hence, no wonder that the coastal land farmers are rich because of fantastic income from the farm. It is proven that the cultivation of this chili plant can improve the economy of the farming community on the South Coast of Kulon Progo.
Stockpile Volume Estimation Calculation Based on Terrestrial Laser Scanner (TLS) Data Acquisition and 3D Surface Visualization Adkha Yulianandha Mabrur; Feny Arafah; Adi Sulistianto
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.4906

Abstract

Stock taking is a series of activities to calculate the stock of goods that are still stored in the warehouse to be marketed. There are many activities covered in it, ranging from calculating the number of goods, conducting direct inspections, and structuring that will facilitate business operations when a certain product is needed. One of these activities is also carried out in the mining sector. Coal stock-taking is a survey activity carried out in the coal yard area to calculate the volume of the stockpile and coal tonnage after being multiplied by the density value. Large-dimensional coal stocking must be carried out quickly, accurately and in detail. The need for this can be obtained using laser scanner technology. Laser scanner is a tool designed to scan the surface of an object and represent it in 3D in the form of a height density point cloud. Based on this, in carrying out stock-taking calculation activities, measurements are needed which mainly aim to find out the stockpile volume and density in the fourth quarter of the Adipala PLTU Coal Yard. Stockpile measurement method using volumetric method. Measurement using a Laser Scanner tool to obtain the shape of the stockpile area is by seizing the entire surface of the Stockpile by setting the resolution of the density of coordinate points (x, y, z) as needed. Tool displacement when measurements are made on every detail of the Stockpile curve. Based on the calculation results, it is known that the volume value of the coal stockpile on the west side coal yard is 121,420,574 m3 and the east side coal yard is 88,230,355 m3 on. The total volume of coal amounted to 209,650,929 m3 then multiplied by the density of the bulk density survey results and obtained the tonnage of 180,384,417 MT.
Identifying Probable Slip Surface in Wanurejo, Borobudur District, By Subsurface Analysis Utilizing the Dipole-Dipole Configuration of Resistivity Method Nurul Dzakiya; Robertus Belardo Laksmana; Radhitya Adzan Hidayah
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5055

Abstract

Research has been carried out on the existence of slip surfaces in Wanurejo, Borobudur District, Magelang Regency, Central Java. The location of the slip surface is identified using the resistivity method of the dipole-dipole configuration. This research was conducted at a relatively flat measurement location and at an altitude of around 95–105 meters above sea level. Measurements were made on 6 different lines with a length of track 1 of 250 m. The results of data processing indicate that the layer that acts as a slip surface is a layer of clay. The clay layer has a resistivity value ranging from 15 to 35 ohm.m, which is relatively thin, so it has the potential to become a slip surface because it is located between two rocks that have a significant resistivity contrast: compact andesite rock and water-saturated sandstone. If the water-saturated sandstone layer is no longer able to withstand the weight above it, the surrounding andesite rocks will easily slip. This is also reinforced by the presence of a layer of clay that is slippery, so the potential for landslides or slipping is greater.
The Analysis of Sea Surface Temperature and Containing Water Chlorophyll-A Distribution Using GEE (Google Earth Engine) Code Technology in Sibolga Waters Mardame Pangihutan Sinaga; Jono Barita Sianipar; Ady Frenly Simanullang; Herna Febrianty Sianipar; Ewin Handoco S; Goldberd Harmuda Duva Sinaga
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.4739

Abstract

Research on SST and chlorophyll-a content using GEE Cloud technology in Sibolga Waters has been carried out since February-December 2019. The analysis was carried out using the MODIS AQUA-L3SMI satellite. The SST results showed that it spread evenly from the coast of Sibolga to the sea, which was 28-33 0C and did not fluctuate, while the content of chlorophyll-a spread evenly, from February-April with a value of 0,1-1 mg/m3 varied, namely from June-August, and fluctuations namely in October-December 2019 with an amount of 0,5-2 mg/m3. SST spreads evenly, varies, and fluctuates around the outskirts of Sibolga coastal waters to the middle of Sibolga Waters, which is unsuitable for demersal fish species. Meanwhile, the chlorophyll-a content spreads evenly, varies, and fluctuates. The high content of chlorophyll-a in all waters and the high SST will make a certain type of fish that can live, namely carnivorous fish species. Image data can be used to map SST distribution patterns and chlorophyll-a content in Sibolga Waters.
Analysis Variation Paddle Wheel With Photovoltaic Form Cultivation with Consumption Electricity Sahat Sitompul; Winfrontstein Naibaho; Welmar Olfan Basten Barat
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5230

Abstract

The main problem that is often found in the failure of microalgae production is poor water quality during the maintenance period. One of the causes of deteriorating water quality is the lack of oxygen which endangers microalgae which can inhibit cell growth so that it can reduce its productivity. On this basis, efforts are needed to refresh the water or aeration to help increase the dissolved oxygen (DO) level in the microalgae growth container using a paddle wheel. The development of an aerator blade design that has optimum efficiency is needed to reduce high electricity consumption and see more effective cell growth.
Utilization of Palm Oil Mill Effluent (POME) Liquid Waste to Increase Density and Growth Rate of Microalgae Chlorella Pyrenoidosa Welmar Olfan Basten Barat; Srinatalia Silaen; Ewin Handoco S
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5236

Abstract

Microalgae Chlorella pyrenoidosa is a microalgae that has the potential to have various roles, especially as a bioabsorbant for organic waste. The growth of the oil palm plantation industry is also directly proportional to the increase in waste generated from the CPO production process, namely POME Waste (Palm Oil Mill Effluent). POME waste has a high nutrient content so that it can be utilized by the microalgae Chlorella pyrenoidosa. This study aims to utilize POME waste to increase the growth of Chlorella pyrenoidosa. Microalgae cultivation had a significant effect on the 1:2 treatment and 1:3 treatment when compared to the control cultivation medium with the highest cell density values ​​of 263(106cells/ml) and 279(106cells/ml) respectively. Injection of POME waste into microalgae rearing media will have an impact on increasing the growth of Chlorella pyrenoidosa microalgae.
Spatial Analysis of E-Warong Distribution for Basic Food Social Assistance Program in Surakarta City Dewi Novita Sari; Sitti Retno Faridatussalam; Moh. Ali Ma’sum; Hasna Afif Labiba
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5165

Abstract

The social assistance for the basic food program launched by the Indonesian Ministry of Social Affairs in 2020 seeks social protection for Family Beneficiaries (KPM/Keluarga Peneri-ma Manfaat). One of the distribution constraints is the absence of a database and spatial analysis for the distribution process of social assistance for basic food programs. This study aimed to inventory data on the location of e-warong, visualize, and analyze distance coverage. The method included a survey of the coordinates of the e-Warong location and an analysis of secondary data from the Surakarta City Social Service (Dinas Sosial Kota Surakarta) for March 2022. The data was processed using proximity analysis on Geographic Information System (GIS)-based software to map the affordability of e- Warong services. The results obtained are the creation of a database of e-Warong locations, mapping of accessibility, and the range of e-Warong services to KPM. The accessibility map of the e-warong location is 100 m for the near zone (most covered), 300 m for the medium zone (covered), and 500 m for the far zone (poorly covered). In conclusion, the e-warong service area is partially centered between Pasar Kliwon and Banjarsari. Meanwhile, several locations in Jebres, Serengan, and Laweyan are still unreachable.
Identification of Mangrove Cover in Banten Bay using Google Earth Engine Erik Munandar; Agitha Saverti Jasmine; Muta Ali Khalifa
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5326

Abstract

The existence of mangroves is a factor in the natural preservation of an area. The goal of this research is to identify the mangrove forest cover in Teluk Banten using guided classification based on machine learning available in GEE.The method used in this research is to visually analyze the spectral value of Sentinel 2A. The composite images used in the analysis include Bands 8A114 and Bands 8A115. Determination of subset images (cropping) is carried out to accommodate the size of the image according to the size of the research location to determine its distribution, extent and changesMangrove classification can be done using various digital image classification approaches, including pixel-based classification, object-based classification, and supervised and unsupervised learning. The choice of classification scheme depends on the purpose of the study and the available data. The mangrove cover area that is seen in red shows that the results of using the CART model can determine the area that is included in the mangrove class.Mangrove identification using GEE machine learning can produce mangrove cover. The result of mangrove cover area depends on how much training area is given. Training areas are used by CART in determining which areas are categorized as mangrove cover.
Analysis of The Influence of Changing Land Area on The Value of Gross Regional Domestic Product (GRDP) (Case Study: Lampung Province) Ratna Mustika Sari; Albertus Deliar; Andri Hernandi
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.4924

Abstract

Residents' activities will always use the land as a place to carry out activities which will affect the GRDP value. This study uses data on the GRDP values of Lampung Province in 2014–2021 obtained from BPS Lampung Province and uses land cover area data obtained from the classification results of Landsat 8 imagery for 2014–2021. The data analysis technique used in this study is correlation analysis and linear regression using panel data. The results of the correlation analysis found that the value of GRDP in total, GRDP in the agriculture, forestry, and fisheries sectors, GRDP in the processing industry sector, and GRDP in the construction sector all correlated with built-up land cover, for GRDP in the agriculture, forestry, and fisheries sectors, in addition to correlation with built-up land cover as well correlated with paddy field cover, and pond land. GRDP values that correlated with the land cover area were carried out by a linear regression analysis of panel data. The results of panel data linear regression calculations show that changes in the area of built-up land cover in Lampung Province do not affect the total value of GRDP, but the built-up land cover has a negative effect on GRDP in the agriculture, forestry, and fisheries sectors and a positive effect on GRDP in the processing industry sector and GRDP in the construction sector. The area covered by paddy fields and ponds has a positive effect on GRDP in the agriculture, forestry, and fisheries sectors. Keywords: Land Cover, GRDP, Panel Data Linear Regression, Correlation
Visitors Preferences and Spatial Interaction Analysis of Taman Krida Wisata and Pijar Park Fauzi Janu Amarrohman; Hana Sugiastu Firdaus; Wildan Ruliyono
Journal of Applied Geospatial Information Vol 7 No 1 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i1.5043

Abstract

Taman Krida Wisata and Pijar Park are located on Kudus Regency. Culture and Tourism Departement of Kudus Regency informed that Taman Krida Wisata is a family recreation park with various animal statues.Youth, Sports, and Tourism Departement of Central Java informed that Pijar Park is a tourist destination that offers a tourism concept with a variety of interesting attractions and facilites. Taman Krida Wisata has an artificial tourist attraction, while Pijar Park has natural and artificial attractions. In 2020, Taman Krida Wisata had 2.588 visitors, while Pijar Park was 723. In addition, in 2019, Taman Krida Wisata was visited by 22.836 tourists, while Pijar Park was visited as many as 3.623. The two tourist areas affect the surrounding economy because there are people who take benefit from the existence of the tourist area. Besides, Taman Krida Wisata and Pijar Park have different management, visitor’s distribution, and tourist destination facility. Therefore, Hedonic Pricing Method is used to determine the value of visitors prefrences in the area and the Gravity model to determine the flow of movement berweetn the two tourist areas with nearest district, office zone, and central economic zone. There are 9 variables are used for HPM, namely tourism facility, transportation, lodging, gift center, entrance fee, health facilities, worship facilities, shopping complex, and public service area. HPM Taman Krida Wisata used 131 sample, while Pijar Park used 135 sample. Taman Krida Wisata has a hedonic value with intervals 4.000-4.189, while Pijar Park has a value 3.976-4.160. Based on the calculation of spatial interaction, Taman Krida Wisata has a higher value than Pijar Park.

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