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Journal : GEA, Jurnal Pendidikan Geografi

Zoning Determination Analysis of New Student Admissions Using N-Dimensional Euclidean Distance Satrio Muhammad Alif; Nisya Kartika; Andri Hernandi
Jurnal Pendidikan Geografi Gea Vol 22, No 2 (2022)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v22i2.34998

Abstract

The zoning is one of the ways in the New Student Admissions (PPDB) system in Bandar Lampung City. The implementation of PPDB has shortcomings such as lack of capacity and unequal public high schools in the city of Bandar Lampung. Diverse topography makes zoning determination in Bandar Lampung City requires elevation. This study aims to determine the zone of PPDB of Public High School (SMAN) in Bandar Lampung City using Euclidean N-dimensional Distance to get the lack of capacity of each SMAN. This research is a quantitative research using descriptive research method with a sample of the assumption point of residence (APR) in the city of Bandar Lampung which has an interval of 10 meters. Each APR is used in calculating the distance to each SMAN to obtain SMAN zoning with the principle of minimum three-dimensional distance. The population of each zone is calculated from the proportion of the zone in each district and the population of each sub-district involved. The population is linked with the capacity of the school to get information on the lack of capacity of each SMAN. Zone 6, which contains SMAN 6, is the widest zone in the city of Bandar Lampung. There is no SMAN that is not lacking in capacity with the scenario that 75% of the population continues to high school. The districts that most need to increase their capacity are Kedaton, Way Halim, Sukabumi Panjang, Enggal, and Tanjung Karang Pusat districts.
Coherence Analysis of Sentinel-1A Images in Various Land Covers Satrio Muhammad Alif; Ongky Anggara; Vidiya Ristiana
Jurnal Pendidikan Geografi Gea Vol 23, No 2 (2023)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v23i2.61258

Abstract

Coherence analysis is a valuable technique to assess the suitability and similarity of pixel pairs between two radar images taken at different times. In this study, we conducted coherence analysis on a series of Sentinel-1A images acquired between 2017 to 2022 in Palembang, Indonesia, encompassing various land covers. The analysis was conducted on different land covers, including urban areas, agricultural lands and natural terrains. The study aimed to identify land cover types with high coherence values Sentinel-1A images, as these could indicate stable or unchanged surfaces. The results show that land cover in Palembang which has high coherence is open land and built area. The average coherence value in the study area from 2017 to 2022 is ~0.2 to ~0.27, indicating relatively stable surfaces. This study is useful as initial consideration to utilize Sentinel-1A image for further research in earthquake and disaster analysis.