Journal of Applied Geospatial Information

Evaluation of Coordinate Position Precision Using GNSS NEO SERIES and GSM SIM 7000E Modules

2024-08-05T02:36:17+00:00

This study investigates the precision of coordinate positioning using Global Navigation Satellite System (GNSS) technology, focusing on GNSS Neo Series modules and the GSM SIM 7000E module. The research aims to address the lack of comparative studies evaluating these GNSS receivers simultaneously. A field test spanning 24 hours was conducted to collect data on satellite acquisition and Horizontal Dilution of Precision (HDOP). The GNSS systems were deployed in a controlled environment at the Class I Meteorological Station Hang Nadim, Batam. The system developed comprised GNSS modules (Neo 6M, Neo 7M, Neo 8M, and GSM SIM 7000E), an ESP32 microcontroller, Arduino UNO, and a Micro SD shield module. Data processing involved converting coordinates to meters and calculating longitude and latitude errors. Root Mean Square Error (RMSE) analysis and one-way ANOVA were performed to assess accuracy and compare the GNSS receivers. Results indicate that the GSM SIM 7000E demonstrated superior satellite acquisition, leading to higher accuracy in coordinate positioning compared to the Neo Series modules. The study also identified optimal data collection times for accurate dispersion. These findings provide valuable insights into selecting and deploying GNSS receivers, enhancing performance in location-based services and scientific applications.

Spatial Modeling of Infant Mortality Rate In Sampang Regency : An Ecological Study

2024-08-17T10:29:10+00:00

Infant mortality rate (IMR) is one of the indicators to measure public health status and community welfare. In the last 3 years (2014-2016), the infant mortality rate in Sampang Regency has increased. The purpose of this study is to develop spatial-based modeling of factors affecting infant mortality rates in Sampang. Researchers used an ecological study design where secondary data came from the Health Office and the Central Bureau of Statistics in Sampang Regency. The dependent variable is infant mortality rate, while the independent variables are delivery assisted by health workers, exclusive breastfeeding coverage, neonatal complications handled, K4 visit coverage, LBW percentage, midwife to population ratio, percentage of clean and healthy household behavior. Data has been analyzed and processed using Geoda and Quantum GIS applications. Based on statistical tests, the spatial model is obtained: ŷ_i= -21.82+0.706 ∑_(i=1,i≠j)^n w_ijy_i-0.61* childbirth attended by health worker+0.10* neonatal complications attended by health worker+1.89* LBW babies. Each variable of childbirth assisted by health workers increased by 10, it can decrease the infant mortality rate by 6.1 cases. Each variable of neonatal complications not handled by health workers rises 10 units, it can increase the infant mortality rate by 1 case. each variable of LBW babies rises 1 unit and it can increase infant mortality cases by 1.89 cases. The results of this study can be used to reduce infant mortality rates that occur by intervening in existing factors.

Implications of Clay Minerals in Landslide Disasters: Case Study of the Riau - West Sumatra Highway KM 82 - 89

2024-08-17T12:37:47+00:00

The research area is along the Riau - West Sumater highway KM 82 - 89 where landslides are very common. The factors most often discussed are rainfall intensity, degree of slope, geological structure and the presence of plants. In this research, the factor of the presence of clay is the main focus in its influence on the occurrence of landslides. Landslide sampling is carried out at landslide locations. Soil samples were also carried out in laboratory simulations of the process of landslides. The methods used to identify the type of clay are Scanning Electron Microscope (SEM) and X-ray diffraction analysis (XRD). The results of the analysis showed that all of the 3 soil samples analyzed using SEM showed the presence of Kaolinite, Montmorillonite and Illite types of clay. In terms of the percentage of clay presence based on XRD analysis at 3 stations, it shows the presence of Kaolinite clay in each soil sample with the percentage of ST1, ST2 and ST3 Kaolinite presence are 29.55%, 18.33% and 36.67%. The presence of Montmorillonite and Illite is indicated by the presence of the mineral Muscovite from the SEM analysis results where its presence is only found in ST1 and ST2 with percentages of 34.85% and 26.67%. The implication of the presence of Montmorillonite and Illite clay is an important factor in the occurrence of landslides, especially the size of the landslide that occurs. This is shown by the linearity between the percentage of Montmorillonite and Illite presence and the distance of the landslide that occurred in the simulation results.

The Relationship Between Morphology, Morphogenesis and Morphotectonics Potential for Flood Disasters in the Karanggayam Area, Kebumen Regency, Indonesia

2024-08-17T12:42:53+00:00

The Regional Disaster Management Agency (BPBD) of Kebumen Regency recorded that from 2011 to 2020 there were 1,335 disaster events, 154 (11.5%) of which were flood disasters. There were eight flood disasters in Karanggayam District were 8 incidents. This research method consists of four stages: literature study, field observation and mapping, analysis of morphology, morphogenesis, and morphotectonics, and analysis of the relationship between morphology, morphogenesis, morphotectonics, and flood potential. The potential for flood disasters is related to the morphological aspects, morphogenesis, and morphotectonics as controlling factors for flood disasters in the research area. Based on the potential for flood disasters in the research area, it is necessary to carry out non-structural mitigation in the research area. Appropriate nonstructural mitigation of flood disasters based on field facts, such as installing an early warning system for flood disasters, having evacuation routes and signs pointing to evacuation routes, socializing flood disasters, and installing warning boards in areas prone to flood disasters to minimize the risk of flood disasters in the Karanggayam area.

Analysis Of Land Value Zone Changes Due To The Construction Of The Kediri International Airport In Grogol Sub-District, Kediri Regency

2024-08-17T12:46:51+00:00

Grogol Sub-district is one of the areas in the administration of Kediri district. Kediri District continues to carry out development, one of which is the Kediri International Airport Development. The development of Kediri International Airport in the Grogol District area began from 2019 until 2023. The research data used the 2016 Land Value Zone Map data of 17 zones, in 2019 with 20 zones, and in 2023 with 20 zones. The method used is the overlay method analysis to find out how many land value changes occur. The analysis method uses a regression test to determine the effect of airports and provincial roads on the land value zone (ZNT). During the period 2016 to 2023, the results of data processing showed the development of land value zones in 20 zones. Between 2016 and 2019, there was an increase in the Average Indicated Value (NIR) in the Cerme Village area in zone number 528 of Rp. 125,000 with a percentage of 78.13%. Conversely, in the Datengan Village area, zone 395 experienced a drastic decrease of -95% or IDR -114,000 due to zone restructuring and distance from the airport. Between 2019 and 2023, Grogol Village in zone 568 recorded the highest increase in NIR of IDR 1,013,876, with a percentage of 221.85%. Meanwhile, zone 395 again emerged with an increase in NIR of Rp. 5,274 or 4.4%. The results showed the influence of airports and provincial roads on ZNT changes in 2016 - 2023 with an R Square value of 0.385 or has an impact value of 38.5% with a negative correlation where the closer the zone is to the airport, the higher the NIR value, on the other hand, the farther the zone is, the smaller the NIR value.

Analysis of West Sumatra’s Tourism Attraction on The Development of The Minangkabau International Airport Area

2024-08-17T12:51:14+00:00

The West Sumatra region is very rich in tourism potential, in the form of natural beauty and culture which makes many tourists come to the West Sumatra area. The aim of this research is to analyze the tourist attractions in West Sumatra regarding the development of the Minangkabau International Airport area. The method used in the research uses a qualitative descriptive approach to analyze the tourist attractions in West Sumatra regarding the development of the airport area. The data used to analyze tourist attractions uses secondary data from various related agencies. The development of the airport area uses a remote sensing approach, namely, the digitization method on Google Earth images carried out on Google Earth Pro Software in 2013 and 2023. The results of the research conclude that aircraft movements and passenger movements have increased. From the results of digitization via Google Earth in 2013 and 2023, over the last 10 years, the airport area has experienced development, especially the aircraft parking area, passenger terminal, car parking area, in 2023 there will be additional buildings, namely, the airport station.

Analysis of Mangrove Suitability for Ecotourism Development Based on Geographic Information System in Kemboja Village North Kayong Regency, West Kalimantan

2024-10-30T13:06:44+00:00

Mangrove ecotourism has an important role in maintaining the balance of coastal ecosystems. Mangroves have various important benefits, such as in mitigating climate change with their ability to absorb carbon and protect coastal areas from abrasion. To improve tourism development, the Geographic Information System's ecotourism suitability analysis has become an important instrument. The purpose of this study is to explore mangrove types and the value of the Tourism Suitability Index. A Geographic Information System (GIS) and Tourism Suitability Index (TSI) approach was used to analyze parameter data, including mangrove density, species richness, mangrove thickness, tides and association biota. Results show that the dominant mangrove species are Xylocarpus granatum, Rhizopora mucronata, Rhizopora apiculata, and Bruguiera parviflora, with densities varying from 4 m²/ind to 23 m²/ind. Mangrove thickness varied from <50 to >500 meters, and biota association varied from 1 to 4 groups. The average tides vary in height, providing an important hydrological context. The land suitability analysis showed great mangrove ecotourism potential in Kemboja Village, with 2,532.20 hectares classified as highly suitable (46.07%) and 2,961.86 hectares classified as suitable (53.89%) for sustainable tourism development. Unsuitable areas cover 1.61 hectares (<1%).