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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
 12   13   14   15   16 
The Compatibility Study of Sentinel 1 Multitemporal Analysis For River-Flood Detection, Study Case: Bogowonto River Muhammad Sufwandika Wijaya; Ulfa Aulia Syamsuri; Irfan Zaki Irawan; Prima Widayani; Projo Danoedoro; Sigit Heru Murti
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.v7i2.5365

Abstract

Flooding is a common natural disaster in Purworejo District, which can be caused by the overflowing of the Bogowonto River. The use of multitemporal analysis with Synthetic Aperture Radar (SAR) images, such as Sentinel-1, has the potential to aid in flood inundation detection for disaster mitigation in the area. However, there has not been any research examining the compatibility of flood inundation detection using multitemporal Sentinel-1 images with the flood susceptibility characteristics of the Bogowonto River. This study aims to evaluate this using a SWOT analysis. The results show that multitemporal analysis using Sentinel-1 images is not suitable for detecting flood inundation in the Bogowonto River due to difficulties in finding the right acquisition time at the time of the flood event. The duration of floods in the Bogowonto River is approximately 1-2 days, while the earliest reacquisition time for Sentinel-1 images for this study is 12 days. Additionally, Sentinel-1 images using band C have limitations in detecting floods under vegetation.
Estimation of Attenuation Coefficient Values Using Remote Sensing and Its Relationship With Shallow Water Depth Anggi Tiarasani; Vincentius Paulus Siregar; Jonson Lumban Gaol
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.v7i2.5630

Abstract

In ocean remote sensing, the intensity of light entering the water column decreases exponentially with increasing depth due to scattering and particle absorption in the water column. This process of decreasing light intensity is called attenuation. Attenuation is a limiting factor in detecting objects in the water column and seafloor using remote sensing, which relies on light intensity. The attenuation coefficient (Kd) is an important optical property of seawater as it provides information about water clarity and the level of light attenuation. This study aims to analyze the estimation of the attenuation coefficient values and their variability using in-situ measurements and Sentinel-2 level 2A data in Karang Lebar, Pulau Panggang, and Pulau Air, in the Seribu Islands Regency, North Jakarta. We tested several algorithms to estimate the attenuation coefficient values. The research results show that the in-situ Kd and the estimated model values have a good correlation (r = 0.75-0.86). The distribution of attenuation coefficient values in the shallow waters of the study area ranges from 0.06 to 0.18m-1. The accuracy of estimating shallow water depth at the study sites was best represented by R2 and RMSE values in the range of 0-5m with an attenuation coefficient of 0.06-0.11m-1. Keywords: Diffuse Attenuation Coefficient, Remote Sensing, Sentinel-2 Imagery, Algorithm.
The Economic Value Zone of Semarang Zoo Using Travel Cost and Contingent Valuation Method Hana Sugiastu Firdaus; Muhammad Adnan Yusuf; Ahmad Bassam
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.v7i2.5431

Abstract

Semarang City is one of the cities in Central Java which has a lot of potential and tourist attractions that can be developed further. The city offers diverse destinations, including Semarang Zoo. In 2007, the Municipal Government of Semarang relocated the zoo from Tinjomoyo Zoo to a new site in the Mangkang area and renamed it Semarang Zoo. Currently, Semarang Zoo is a man-made tourist attraction. The presence of these tourist areas has a substantial impact on the local economy, benefiting the surrounding communities. To assess the post-relocation development of tourist areas, an analysis of the economic value zones was conducted using the Travel Cost Method (TCM) and the Contingent Valuation Method (CVM) to determine the total economic value of the tourist areas. The Hedonic Pricing Method (HPM) was employed to gauge tourism potential based on visitor preferences. The Gravity Model was also utilized to measure the attractiveness of both tourist areas. The sample sizes for Semarang Zoo were 110 for TCM, 105 for CVM, and 110 for HPM. The research findings revealed that Semarang Zoo has a total economic value of IDR 245,895,813,400 and the highest hedonic value of 3.050. The calculated hedonic value suggests a preference value of 3, indicating an average level of preference. Based on the calculation of spatial interactions, it shows that the biggest attractions of the Semarang Zoo are Semarang City and Kendal City.
Characteristics and Dispersion Model of Wastewater PT Kayu Lapis Indonesia, Kendal, Central Java Rizqi Rizaldi Hidayat; Irwan Harun; Eddiyanto Eddiyanto; Isnaini Prihatiningsih; Ardiansyah Farabi
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.v7i2.5841

Abstract

PT. Kayu Lapis Indonesia (PT KLI) is a company engaged in the forestry sector, particularly in wood processing. Production activities at PT KLI produce wastewater that is treated and discharged into the sea, and then spreads following ocean currents. This study aimed to analyze the characteristics of wastewater produced by PT KLI and predict the distribution pattern of the waste. The characteristics of the wastewater and seawater were obtained through in situ measurements and sampling, which were analyzed in the laboratory. The distribution pattern of wastewater discharge was modeled using the pollutant model from the hydrodynamic model results around the water. The characteristics of the PT KLI wastewater were dominated by parameters such as pH, biological oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), and total ammonia. The wastewater was processed in a Wastewater Treatment Plant (WWTP) until all the parameters met predetermined standards before being discharged into the ocean. The model results show that wastewater tends to move westward both at high tide in the west and east monsoons and at low tide in the west and east monsoons, with little movement to the east.
TSS (Total Suspended Soil) Analysis Using GEE (Google Earth Engine) Cloud Technology In Sibolga Waters Mardame Pangihutan Sinaga; Jono Barita Sianipar; Ady Frenly Simanullang; Goldberd Harmuda Duva Sinaga; Mila Susanty Sianipar
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.v7i2.5856

Abstract

The TSS research using GEE Cloud Technology in Sibolga Waters was carried out from February to April 2021, Mey to July 2021, August to October 2021, and October to December 2021. The analysis was carried out using the Sentinel-2 Satellite. TSS results showed that the highest amount was 60-120 mg/liter and the lowest was 0-60 mg/l. The content of TSS is spread evenly around the edge of the Sibolga coast to the Middle of Sibolga Waters and has passed the quality standard limit according to the Minister of Environment of the Republic of Indonesia which means the Sibolga Water area is polluted and improper for drinking water as well as for fish cultivation. The result has been seasonal influence can determine the direction of the TSS distribution pattern, both tidal factors and weather conditions such as rain and dry season. The side effect on the TSS distribution pattern in Sibolga Waters causes the TSS value at high tide to be higher than at low tide. Sentinel-2 TOA Reflectance Data imagery can be used to map the TSS distribution pattern in the Sibolga Waters area.
Combining Two Classification Methods for Predicting Jakarta Bay Seabed Type Using Multibeam Echosounder Data Steven Solikin; Angga Dwinovantyo; Henry Munandar Manik; Sri Pujiyati; Susilohadi Susilohadi
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.v7i2.6363

Abstract

Classification of seabed types from multibeam echosounder data using machine learning techniques has been widely used in recent decades, such as Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Nearest Neighbor (NN). This study combines the two most frequently used machine learning techniques to classify and map the seabed sediment types from multibeam echosounder data. The classification model developed in this study is a combination of two machine learning classification techniques, namely Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN). This classification technique is called SV-KNN. Simply, SV-KNN adopts these two techniques to carry out the classification process. The SV-KNN technique begins with determining test data by specifying support vectors and hyperplanes, as was done on the SVM method, and executes the classification process using the K-NN. Clay, fine silt, medium silt, coarse silt, and fine sand are the five main classes produced by SVKNN. The SV-KNN method has an overall accuracy value of 87.38% and a Kappa coefficient of 0.3093.
Smart Island Lemukutan Through WebGIS Based Benthic Habitat Data Collection Zan Zibar; Robin Saputra; Adityo Raynaldo; Supriyatno Supriyatno; Budhi Agung Prasetyo; Risko Risko; Hendrawan Hendrawan
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.v7i2.6512

Abstract

Benthic habitats provide a variety of functions, both ecological and economic, for life in coastal areas and small islands. Smart islands or smart islands are currently being implemented in a number of small island developing countries with one of the challenges being technology based. One technology that can be used in management, including monitoring and supervision of resources, is the Geographic Information System (GIS). The synergy of GIS data and the help of the latest multimedia software technology is necessary to help display an interactive and easily accessible, in this case, webGIS technology. This research was carried out on Lemukutan Island which consists of 6 research stations, each of which has a distribution of coral reef location points based on coordinates. Based on the results of the analysis of the percentage of benthic habitats in the study locations ranging from bad to good categories. Furthermore, the data from field observations and analysis results are displayed on the Lemukan Island smart island website and can be accessed at https://webgissmartisland.com. Regular monitoring of coral reefs is very important and needs to be done to help input data for Smart Island Lemukutan so that it becomes a catalyst in realizing a smart island ecosystem in West Kalimantan Province by providing benthic habitat maps via webgis services and actualizing technological development in coastal areas and small islands. smart island based through the smart destination concept by integrating benthic habitat information via WebGIS services.
Analysis of Land Subsidence in Peatlands in the Awareness Area of Pekanbaru, Riau, Indonesia Husnul Kausarian; Windi Indra Sari; Fitri Mairizki; Batara Batara; Adi Suryadi
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.v7i2.6594

Abstract

This study area is administratively located in Parit Indah District, Bukit Raya District, Pekanbaru City, Riau Province. Geographically, the research area is located at coordinates 0° 28' 30.92" N 101° 28' 9.45" E N 0° 27' 25.63" - 101° 29' 47.30" E. The aim of this study was to find out the effect of peat soil types on subsidence. The data collection method in this study was carried out using sieve analysis, water content analysis, specific gravity, subsidence analysis, and soil testing in the laboratory. The effect of peat soil on subsidence has a significant effect between the type of peat and subsidence, the higher the maturity level of the peat, the lower the level of subsidence on peat soil. Based on the study's results, the soil consolidation test with a depth of 75cm-3m had a soil settlement value of 0.467. It is recommended to do this to reduce the impact of subsidence in the land area such as the research area so that it does not have too much impact on the construction which is carried out by hardening the location using the vertical wick drain method, as well as for building foundations it can be done using chicken claw foundation.
The Directions of Settlement Development on Land Availability in Ternate City Eva Purnamasari; Yudi Antomi
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.v7i2.5941

Abstract

The development of settlements experienced by the City of Ternate has caused quite serious problems, considering that the City of Ternate is an island city dominated by mountainous land, land development for settlements is limited to coastal lands. The purpose of this study is to analyze the direction of settlement development toward the availability of land in the City of Ternate. The method used in this research is the overlay method and uses a qualitative descriptive research type using secondary data in the form of a Map of Disaster Prone Areas from the Ministry of Energy and Mineral Resources. From the results of the overlapping process between settlements in 2010 and 2020, the direction of settlement development in the City of Ternate is to the south and east which are pointing upwards on the slopes of Mount Gamalama. Judging from the Disaster Prone Areas (KRB) map obtained from the Ministry of Energy and Mineral Resources, the direction of settlement development that has occurred in Ternate City is that KRB I is an area that is located along or near the river valley and the lower reaches of the river which originates at the peak area. The availability of land in the City of Ternate which allows for the construction of a settlement is in the south and east. However, the southern and eastern parts of Ternate City are dense enough so that the dominant development is directed upwards. This upward development needs to consider the slope of the slope considering that Ternate City is a volcanic island.
Analysis of Land Value in the Area Surrounding the Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR) Fauzi Janu Amarrohman; Yasser Wahyuddin; Ellena Patricia
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.v7i2.6361

Abstract

According to the Regional Spatial Plan (RTRW) for the City of Semarang in 2011–2031, the area around Simpang Lima is part of City Area 1, with a function as the Central Business District (CBD). Losch (1954) suggests that the value of a parcel of land tends to decrease if it is away from the central business area. Therefore, this study investigated the relationship between changes in land value and the presence of CBD around the Simpang Lima CBD. The methods employed in this study are the calculation of the Average Indicated Value (NIR), analyzing changes in land value in 2012–2023, and the Geographically Weighted Regression (GWR). Based on an analysis of changes in land value for 2012–2023, it shows that the highest change in land value zone for 2012–2018 was in zone 166, with an increase of IDR 20,446,000, and the lowest change in land value was in zone 163, with a decrease of IDR 3,956,000. Meanwhile, the highest change in land value zone for 2018–2023 was in zone 84, with an increase of IDR 28,852,000, and the lowest change in land value was in zone 37, with an increase of IDR 217,000. The results of statistical tests using GWR show that the influence of the distance from the CBD on changes in land values in 2012–2023 is 84%, indicating a high correlation. The results of the T-test performed on each variable indicate that the variables significantly influencing changes in land value are shopping centers and road widths. Shopping centers have a negative correlation. On the other hand, the road width is positively correlation.

Page 14 of 19 | Total Record : 183

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