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STUDENT’S KNOWLEDGE ABOUT LAND SUBSIDENCE IN SEMARANG CITY, INDONESIA Astuti, Aurelia Ayu Widhi; Widiyatmoko, Wahyu; Wibowo, Yunus Aris; Dewi, Ratih Puspita; Musiyam, Muhammad
GeoEco Vol 12, No 1 (2026): GeoEco January 2026
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v12i1.101424

Abstract

The city of Semarang is one of the cities on Java Island's north coast that experiences land subsidence. The rate of land subsidence varies across different areas. This research aims to analyse the relationship between students' knowledge about land subsidence phenomena and the location of schools experiencing (SMAN 14 Semarang) and not experiencing (SMAN 4 Semarang) land subsidence in Semarang City. The population for this study comprises all high school students at SMA Negeri 4 Semarang (1,179 students) and SMA Negeri 14 Semarang (958 students). Sampling was conducted using the Slovin formula with a 5% margin of error, yielding 306 respondents from SMA Negeri 4 Semarang and 300 from SMA Negeri 14 Semarang. The sampling technique employed was cluster random sampling. Data collection techniques included multiple-choice tests, followed by point-biserial correlation analysis. The results of this study indicate that students at both SMA Negeri 14 Semarang and SMA Negeri 4 Semarang demonstrate a high level of knowledge about land subsidence, and the analysis indicates no significant relationship between students’ knowledge and school location in areas with different subsidence conditions in Semarang. This highlights the effectiveness of geography instruction in conveying local environmental phenomena and underscores the importance of integrating contextual, place-based examples, such as land subsidence, into geography curricula.
ADAPTIVE CAPACITY AND RESILIENCE TO THE EARTHQUAKE AMONG STUDENTS IN KLATEN REGENCY WIbowo, Yunus Aris; Safriani, Eka Wulan; Ronggowulan, Lintang; Dewi, Ratih Puspita; Hafida, Siti Hadiyati Nur; Widiyatmoko, Wahyu; Wardhani, Puspita Indra; Septiningrum, Usmaningtyas Ayu Dwi; Putri, Sindi Ashyari; Aris, Ibnu Abdullah; Wijayanto, Saifulloh Rizqi
GeoEco Vol 9, No 2 (2023): GeoEco July 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i2.75292

Abstract

One of the risk components that are most vulnerable to earthquake disasters is children. Klaten Regency is one of the areas frequently shaken by earthquakes. Therefore, this study aims to measure students' adaptive capacity and resilience to earthquakes in the Klaten Regency. Respondents in this study were students of SMP M 8 Wedi, MTs M 10 Wedi, and SMP M 21gantiwarno, Klaten Regency. The adaptive capacity of students is measured based on institutional memory, innovative learning, and connectedness. In contrast, students' resilience level is measured based on emotion regulation, control over problems, optimism, empathy, self-efficacy, ability to analyze issues, and achievement. Data were collected using a questionnaire and processed using descriptive statistics. The level of adaptive capacity and resilience of the student community to natural disasters has different characteristics due to the influence of several factors such as the location of the school in a disaster-prone area, the integration of disaster material into learning, experience in disaster emergency response conditions, school policies on disaster mitigation and family or community factors environment. The best level of adaptive capacity is found in SMP Muhammadiyah 8 Wedi with 62.90%, and MTs Muhammadiyah 10 Wedi has a poor level of adaptive capacity with 44.32%. Moreover, based on gender characteristics, the level of adaptive capacity of male students is better than female students, with the lowest percentage being female at MTs Muhammadiyah 10 Wedi. The highest level of student resilience is found at MTs Muhammadiyah 10 Wedi at 61.36%, while SMP Muhammadiyah 21 Gantiwarno is classified as poor at 33.33%. Based on gender characteristics, the highest level of resilience is female at MTs Muhammadiyah 10 Wedi, with 91.67%.
ANALYSIS OF BATHYMETRIC DATA UTILIZATION FOR UNDERWATER MORPHOLOGY VISUALIZATION IN JEMAJA ANAMBAS ISLANDS RIAU ISLANDS INDONESIA Santoso, Bayu Dwi; Wardhani, Puspita Indra; Dewi, Ratih Puspita; Annurhutami, Fitra
GeoEco Vol 10, No 2 (2024): GeoEco July 2024
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v10i2.86314

Abstract

Administratively, Pulau Jemaja is located in the Kepulauan Anambas Regency, Riau Islands Province, which lies between 2°10'0" - 3°40'0" N and 105°15'0" - 106°45'0" E. This area is situated on the outermost border of the Unitary State of the Republic of Indonesia and possesses potential natural resources. The potential resources available in the Natuna Regency, especially on Pulau Jemaja, include coral reefs, mangroves, marine sediment/sand, petroleum, and fishery resources. The presence of these resources on Pulau Jemaja, coupled with its location on the national border, is crucial in determining the research location. This study utilizes two sets of secondary data: bathymetric data issued by Pushidrosal of the Indonesian Navy and BATNAS (National Bathymetric Mapping) data issued by BIG (Geospatial Information Agency). The aim of this research is to determine the morphology of the seabed in the Jemaja port area by comparing the bathymetric data from Pushidrosal and BATNAS (BIG) with a resolution of 6 arc-seconds. The method used in this research is GIS with the assistance of ArcGIS and Surfer software. Data analysis in this study employs descriptive analysis, utilizing comparison tables. Prior to analysis, data preprocessing was conducted to facilitate analysis. The results of this study indicate that the maximum depth in this area is -36 meters according to the data issued by Pushidrosal, while the data from BIG indicates a maximum depth of -40 meters. The seabed morphology around the waters of Jemaja falls within the Continental Shelf. The 3D modeling results show differences due to the varying spatial resolution between the two datasets.