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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 183 Documents
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Delineating of Groundwater Aquifer Potential Using Vertical Electrical Sounding (VES) Methods in Giriloyo, Wukirsari Village, Imogiri District, Bantul Regency, Special Region of Yogyakarta Kiswiranti, Desi; Tania, Dina; Dzakiya, Nurul; Hanani, Prita
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6711

Abstract

The geophysical investigation in Giriloyo, Wukirsari Village, has defined the groundwater potential zones. The research region underwent a geophysical examination utilizing the electrical resistance method, which comprised the vertical electrical sounding (VES) technique and the Schlumberger array system. The study area is surrounded by common rock types such as lava, tuff, agglomerate, and alluvial. In the study region, five lines were explored. Data for subsurface resistivity were gathered with an Oyo McOhm type 2115. IPI2win, a piece of computer software that analyzes data and automatically interprets apparent resistivity, was used to examine the data. The VES data showed the varied nature of the subsurface geological sequence. The geoelectrical cross-sections along the profile of (VES 2-3-4-1) show an aquifer, which stretches from the southeast towards the northwest part of the basin. Tuff is seen to have formed shallow aquifers due to the top weathered part at VES-2 and 3, while Quartz chlorite calcite (VES-4) and Plagioclases (VES-1) are devoid of shallow aquifers. The higher-elevation lithological areas recharge the low-elevation aquifer zones. At VES 2 and 3, relatively low resistivity values (< about 100 Ωm) have been observed. A field observation at these locations reveals that these lithologies are highly fractured with a weathering profile of up to 10 m. Thus, these are the sites where groundwater potential zones can be marked (figure 4). The high resistivity (about 3162 Ωm regions is observed extending at the VES-4; this may be due to the least weathered Quartz chlorite calcite at high elevation. VES-1 is also located on the plagioclase and shows a slight resistivity zone, which could be considered a groundwater recharge zone. This profile shows the high possibility of groundwater potential due to the zone of lineaments.
Analysis of Rob Flood Risk on The Coast of East Luwu District Using GIS Devy, Nanda Riska; Agus, Syamsul Bahri; Susilo, Setyo Budi
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6719

Abstract

Rob floods caused by rising sea levels are a natural disaster that can potentially threaten coastal areas, especially in Indonesia. Tidal floods seriously threaten coastal areas, especially East Luwu Regency. Environmental factors and rapid growth on the coast of East Luwu Regency influence the vulnerability and complexity of the environment. This research aims to identify the spatial distribution of tidal flood risk levels and predict tidal flood inundation in 2050 at the highest tide on the coast of Luwu Timur District. This effort is part of a disaster mitigation strategy due to rising sea levels. The modeling approach involves Geographic Information Systems (GIS) overlaying data and integrating DEM, HHWL, and SLR data for 28 years (1992-2020). The research results show that the coastal areas studied have a high risk related to tidal flooding, with locations closest to the coastline being at the highest risk. In contrast, the risk decreases as you move away from the coastline. Apart from that, the modeling results also estimate that in 2050, inundation will reach a height of 1,570 meters. The area affected by tidal flood inundation has increased in each sub-district. The inundation will spread evenly along the coastline and extend inland due to seawater intrusion. Coastal areas dominated by production land, such as ponds and agricultural areas, are predicted to experience the most extensive impact of inundation compared to other land uses. Emphasizes the need for mitigation efforts to minimize the impacts that may be caused by tidal floods in the future.
The Sensitivity Level of the Coastal Areas in Bulukumba Regency to Waste Pollution Adinuha, Dinda Afifah; Agus, Syamsul Bahri; Zamani, Neviaty Putri
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6727

Abstract

The presence of waste in coastal environments can lead to increased coastal damage and burden. Most of the population's activities in Bulukumba Regency are concentrated in coastal areas, thus making this region susceptible to significant pressure from waste pollution. This research aims to determine the level of coastal area sensitivity in Bulukumba towards waste pollution. The study was conducted from October to December 2022. The research location is the coastal area of Bulukumba Regency, which includes seven subdistricts: Gantarang, Ujung Bulu, Ujung Loe, Bonto Bahari, Bontotiro, Herlang, and Kajang. Primary data were obtained through interviews and direct observations at the research locations, while secondary data were collected through literature studies and relevant institutions in Bulukumba. The results of parameter weighting using the expert judgment method indicate that five important parameters are used to assess the sensitivity of the coastal environment to waste pollution. These parameters consist of current velocity (20.27%), distance of the ecosystem from the harbor (18.92%), distance of the ecosystem from settlements (18.92%), distance of the ecosystem from rivers (17.57%), and the presence of waste on the coast (17.57%). The distribution of coastal environmental sensitivity levels to waste pollution shows that the eastern coastal areas are more sensitive to waste pollution than the southern coastal areas. The current velocity is the most significant parameter influencing the coastal environment's sensitivity to waste pollution and holds the highest weight and score across all research areas.
Machine Learning-Enhanced Geographically Weighted Regression for Spatial Evaluation of Human Development Index across Western Indonesia Firmansyah, Gustian Angga; Zeniarja, Junta; Azies, Harun Al; winarno, Sri; Ganiswari, Syuhra Putri
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6755

Abstract

The HDI (Human Development Index) is one of the important components to measure the level of success in efforts to improve the quality of human life. The human development index is built with three dimensions, namely the longevity and health dimension, the knowledge dimension and the decent standard of living dimension. The longevity and health dimension is measured using Life expectancy at birth. The knowledge dimension is measured using expected years of schooling and average years of schooling. Meanwhile, the decent standard of living dimension is measured using Adjusted per capita expenditure. This study aims to find factors that influence HDI (Human Development Index) in Western Indonesia Region using machine learning models. The results obtained are that HDI is influenced by average years of schooling, expected years of schooling, Life expectancy at birth, and Adjusted per capita expenditure which are sorted from the most significantly influential. The model used in this study is GWR (Geographically Weighted Regression) with evaluation results including, AIC of 215.3162, AICc of 226.5107, and the accuracy level in the form of R-square of 99.38% which means this model is good to use.
Data-Driven Modeling of Human Development Index in Eastern Indonesia's Region Using Gaussian Techniques Empowered by Machine Learning Ganiswari, Syuhra Putri; Azies, Harun Al; Nugraha, Adhitya; Luthfiarta, Ardytha; Firmansyah, Gustian Angga
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6757

Abstract

The Human Development Index (HDI) is a statistical measure used to measure and evaluate the progress and quality of human life in a country. For the Government of Indonesia, HDI is important because it is used to create or develop effective policies and programs. In addition, HDI is also used as one of the allocators in determining the General Allocation Fund. The 2022 HDI data released by BPS shows that there has been an increase in the HDI in each district/city over the last 12 years, including in the regions of Eastern Indonesia. High and low HDI values are influenced by several factors, and there are indications that there is spatial diversity where surrounding areas tend to have HDI levels that are not far from the area. The Geographically Weighted Regression method is used in this study because it takes into account spatial aspects. However, the GWR model must be built repeatedly if there is regional expansion. Therefore, a GWR model that applies machine learning methods is needed where the model is built and tested using different datasets, namely training data and test data, so that the model can predict new data better. The results obtained are that the GWR model with test data has a better R-Square value when compared to the GWR model previously trained using training data, which is 0.9946702, based on the linear regression model shows the results that the most influential factor on HDI in Eastern Indonesia is expected years of schooling (X2).
Mangrove Plant Community Structure of Kwala Indah Village, Batu Bara Regency Purba, Ricky Tommy Fransiskus; Barat, Welmar Olfan Basten; Siburian, Daniel Tony E
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6769

Abstract

Coastal areas are transitional areas between land and marine ecosystems that have high biological productivity. Mangroves are a type of plant that grows in coastal areas or river estuaries and has an ecological function by acting as the last defense against sea waves after coral reef and seagrass ecosystems, as sediment traps, as a place to find fish food, as a fish spawning ground, as a shelter, and as a place for fish farming. Mangrove Plant Community Structure Research in the Kwala Indah Village Area was conducted in August–October 2023 with the aim of knowing the types of mangroves, mangrove diversity and uniformity, dominance, Important Value Index (INP), and mangrove crown cover in Kwala Indah Village. The method used in the observation of mangrove plant community structure is to use the quadrant transect method by analyzing species density, relative density, species frequency, relative frequency, species dominance, relative dominance, and important value index at the tree, sapling, and seedling levels, as well as crown cover. Based on the results of the study, 7 species were found, namely Xylocarpus granatum, Xylocarpus mekongensis, Rhizophora apiculata, Rhizophora mucronata, Soneratia alba, Bruguiera parviflora, and Excoecaria agallocha. Xylocarpus and Rhizopora have the highest INP, diversity, uniformity, and dominance. Canopy cover is in the medium category; coastal areas are transitional areas between terrestrial and marine ecosystems that have high biodiversity values.
Macrozoobenthoc Diversity on The Mangrove Ecosystem in The Gosong Telaga Selatan Mangrove Ecotourism, Singkil Utara District, Aceh Singkil District Manik, Riau Wanshi; Barat, Welmar Olfan Basten; Sinaga, Mardame Pangihutan
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6770

Abstract

Macrozoobenthos is a group of organisms that live in or on the surface of bottom sediments and have a length of more than 1 mm. One of the macrozoobenthos habitats is the mangrove ecosystem in the Gosong Telaga Selatan Ecotourism Mangrove, North Singkil District, Aceh Singkil Regency. Knowledge that macrozoobenthos can provide food availability for other organisms and as an indication of the suitability of potential water quality, especially pollution indicators, and plays an important role in the decomposition process of organic material in sediment in the mangrove ecosystem, so that the macrozoobenthos community can be used as an indicator of the balance of the mangrove ecosystem. This research aims to identify the diversity, uniformity, and dominance of Macrozoobenthos in the Gosong Telaga Selatan Mangrove Ecotourism Area, North Singkil District, Aceh Singkil Regency. This research uses a combination of two transect methods, namely line transects and quadratic transects. Determining the research location used the purposive sampling technique. Data analysis uses qualitative and quantitative analysis. The research results show that there are 7 Macrozoobenthos species, consisting of 3 classes, with a total of 182 individuals. Macrozoobenthic diversity in the ecosystem area in the Gosong Telaga Selatan Mangrove Ecotourism, North Singkil District, Aceh Singkil Regency is classified as moderate with a diversity index of Ĥ= 1.35-1.75, the uniformity index is classified as stable, ranging between E= 0.76-0.93, and the dominance index is classified as low.
Sedimentation Rate Analysis Waters in Tegalsari Beach Fishery Port, Tegal Idris, Muhamad Kemal; Heriyanto, Benny Kemal; Sodik, Suryo Nur; Setyaningsih, Wahyu Adi
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6773

Abstract

Tegalsari Coastal Fishing Port (PPP) is a fishing area located in Tegal City and is a port with fairly dense ship activity. With the conditions owned in the Tegalsari PPP, it makes the Coastal Fishing Port with high economic potential. Conditions that affect activities at Tegalsari PPP are the silting of shipping lanes which cause sedimentation in the port pond or in the shipping channel. Therefore, information about bathymetry and sedimentation rate is needed to facilitate shipping flows at PPP Tegalsari. The purpose of this study is to identify hydrooceanographic conditions in Tegalsari PPP, analyze sedimentation rates in Tegalsari PPP and provide recommendations for the results of sedimentation rate analysis. The data used in this study contained 3 data, namely bathymetric data, tidal data and sedimentation rate data. For data processing using Mike 21 software. The results that have been carried out in this study have varied results on bathymetric conditions and sedimentation rates in Tegalsari PPP. The results of bathymetric modeling. In existing conditions PPP Tegalsari has an average depth of 1.2 – 3.6 m, in alternative 1 it has a depth of 3.0 – 7.2 m and in alternative 2 it has a depth of 2.5 – 7.0 m. The sedimentation rate in PPP Tegalsari within the research period of 15 days, namely in existing conditions ranging from 1.095 mm/year, in alternative 1 ranging from 0.438 mm / year and in alternative 2 ranging from 0.486667 mm/year. In the results of the research conducted that the level of sedimentation conditions in Tegalsari PPP is low. Thus, at the time of sedimentation does not affect the shipping channel at PPP Tegalsari.
Mangrove Community Structure in Pematang Sei Baru Village, Tanjung Balai District, Asahan Regency Sitorus, Reaful Samuel; Barat, Welmar Olfan Basten; Handoco, Ewin
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6779

Abstract

Coastal and marine areas are an integrated ecosystem and are interconnected with each other, so they have a mutual correlation. In a coastal ecosystem, there is an exchange of matter and energy that takes place in the system and with other external system components. Based on the importance of the role of mangrove ecosystems in a body of water and the lack of information about the structure of mangrove communities in Pematang Sei Baru Village, Tanjung Balai District, Asahan Regency, North Sumatra, this research is important to be carried out to determine the condition of mangrove ecosystems and can provide understanding to the community about the importance of ecosystems for coastal areas. The data analysis used in this study is both descriptive and quantitative. The data analysis used includes diversity and uniformity index, dominance, mangrove community structure, and canopy cover. The highest diversity in trees is found at station 3, with a value of 2.20, and the lowest, with a value of 2.12, at station 2. The highest uniformity in trees is found at station 2, with a value of 0.96, and the lowest at station 5, with a value of 0.93. The highest dominance value was in Rhizophora mucronata with a value of 15.75%, Xylocarpus granatum with a value of 11.51%, and Bruguiera cylindrical type with a value of 10.73%. 1 highest INP value is the type of Rhizophora mucronata with a value of 55.79% and canopy cover in the medium category. Based on the results of observations made at the location of this study, there are many remnants of logging carried out by the surrounding community, which, if left unchecked, will lead to reduced land, which will greatly affect the ecosystem in it. Therefore, the role of the government is expected in conducting supervision in this area.
Mangrove Plant Community Structure, Sungai Apung Village, Tanjung Balai Sub-District, Asahan District, North Sumatra Province Sitio, Lista Celsi Wilda; Barat, Welmar Olfan Basten; Retno, Ria
Journal of Applied Geospatial Information Vol 7 No 2 (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.v7i2.6781

Abstract

Mangroves are a type of vegetation found in tropical coastal areas. In general, mangrove vegetation thrives in sloping coastal areas or near river estuaries and beaches that are protected from waves. The physical function of mangrove forests is to keep the coastline stable, protect the coast from erosion, reduce storms and waves, and catch sediment, while the biological function of mangroves is as a spawning place or residence, shelter for shrimp, crabs, shellfish, and other animals. Research on Mangrove Plant Community Structure in the Kwala Indah Village Area was carried out in August–November 2023 with the aim of determining mangrove types, mangrove diversity and uniformity, dominance, the Important Value Index (INP), and mangrove canopy cover in Singai Apung Village. The method used to observe the community structure of mangrove plants is to use the quadrant transect method by analyzing species density, relative density, species frequency, relative frequency, species dominance, relative dominance, and important value index at the tree level. , saplings and seedlings, as well as canopy cover. Based on the research results, 10 species were found, namely Avicennia alba, Avicennia lanata, Bruguiera cylindrica, Bruguiera sexangula, Excoearia agallocha, Lumnitzera littorea, Rhizophora apiculata, Rhizophora mucronata, Sonneratia alba, and Xylocarpus granatum. Rhizopora mucronata, which has INP, diversity in the medium category, and uniformity in the high category, has the highest dominance in Rhizophora mucronata. Canopy cover is in the dense category.

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