Jurnal Spatial Wahana Komunikasi dan Informasi Geografi

Analisis Bahaya dan Risiko Banjir Berbasis Multikriteria di Kecamatan Sirimau Kota Ambon

2024-09-20T11:19:08+07:00

This study targets the threat and risk of flooding in Sirimau District, Ambon City, from a multi-criteria perspective using a Geographic Information System (GIS). Important flood hazard characteristics include land use, elevation, slope, distance from rivers, soil, and rainfall. Two risk factors, namely population density, land use, and flood hazard characteristics are used in flood risk analysis. Map aggregation procedure for flood risk and hazard analysis uses the Weighted Linear Combination (WLC) approach. The results of the flood hazard at the study site revealed that the flood hazard category was very high and high. Namely, 12.26% and the flood hazard category was very low and low, 87.84% and only. The results of the flood risk in the research location revealed that the flood risk with very high and high-risk categories was around 17.28%, and deficient and low flood risk categories (82.77%). This is because hilly and mountainous areas mostly dominate the Sirimau sub-district

Kombinasi Survei Terestrial dan Satelit Navigasi untuk Pendefinisian Koordinat Titik Pemantauan Candi Prambanan

2024-09-20T11:19:06+07:00

Prambanan Temple was built on an unstable soil structure—a layer of sandy soil with medium density. While on the west side, there are faults in the Opak River which could affect the stability of Prambanan Temple. Due to those situations, periodic monitoring of geometric aspects is necessary. This research has succeeded in defining X, Y, Z and φ, λ, h coordinates of Monitoring Points based on GPS observations which was post-processed using GAMIT/GLOBK software. The orthometric height (H) of all Monitoring Points had been obtained from the height difference survey tied to the TTG-852 reference point and calculated using the least square adjustment method. The position of Prambanan Temple was obtained by measuring the reflector mounted on the body of the temple using resection method. The results could be used as reference points in monitoring deformation in the following years.

Analisis Desain Arsitektur Masjid di Pulau Jawa dan Masjid di Pulau Sumatera sebagai Bangunan Evakuasi Bencana Banjir di Indonesia

2024-09-20T11:18:59+07:00

Indonesia, as an archipelagic country located in the equatorial region, is faced with a high risk of natural disasters, especially floods, due to its volcanic location and the intersection of three main tectonic plates. In this context, this research aims to analyze the potential of mosques in DKI Jakarta and the Batanghari River basin as flood disaster evacuation buildings. Using a descriptive-analytical study method with a combined approach between online and field observations, as well as data from the official government website, this research evaluates mosques based on the criteria of floor height, availability of the 2nd floor, and other supporting facilities. The results show that there is significant variation in mosque architectural design and facility availability, with some mosques having potential evacuation buildings while others require significant modification to increase their functionality in the face of flood disasters. This research suggests the need to modify the mosque design, including increasing the floor height and adding second-floor facilities and stairs, to strengthen the role of the mosque as an effective evacuation site.

Prediksi Pertumbuhan Penduduk dengan Google Earth Pro Studi Kasus Kelurahan Madyopuro Kota Malang

2024-09-20T11:18:56+07:00

The construction of the Trans Java toll road has brought development to the areas it passes through. As happened in Madyopuro Village, Malang City, which was transformed into a satellite city due to the construction of the toll exit, some unoccupied land in this area began to be looked at by developers to build settlements known from the 2019 image. In addition, supporting facilities in the form of arterial roads were widened so that access to the eastern region of the village became easy. This settlement development factor is an indicator of population growth. The purpose of this research is to analyze changes in the number of settlements with Google Earth Data. The method used is snapshoot analysis through Google Earth Pro image data which is available in full and easily accessible in a multi-spatial and multi-temporal manner. The results are used to predict the amount of population growth. Images from Google Earth are rectified then the amount of built-up land in the form of settlements is calculated through the appearance of the roof. Furthermore, the number of each building is correlated with the population of each building based on SNI-03-1733-2004. The results of this calculation were compared with population data for that year using data from the Central Statistics Agency (BPS). The results of this research show that the population based on predictions in 2015 amounted to 18,604 people, in BPS data 19,566 people. For 2019, predictions with this method show a number of 20,020 people and BPS data shows 20,067 people. The prediction in 2023 is 21,544 people. Through image data from Google Earth Pro, the population predicted by this method is close to data from BPS in 2015 and 2019 with a difference. The conclusion is that data on changes in house buildings from Google Earth can be used to predict the number of people affected by toll road construction.