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Putri, Rozana Eka
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Spatial Assessment of Carbon Emissions Caused by Industrial Activities in Batang Anai, West Sumatra Novelia, Nabila; Putri, Rozana Eka; Ulni, Arie Zella Putra
Jurnal Penelitian Geografi Vol 13 No 2 (2025): Jurnal Penelitian Geografi (JPG)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpg.v13.i2.33628

Abstract

This study aims to analyze: (1) the spatial distribution of carbon emissions in Batang Anai District, Padang Pariaman Regency, and (2) the impacts of carbon emissions on environmental quality and community settlements. The primary focus is to map emission patterns while also assessing their socio-economic and public health implications. A descriptive quantitative method with a spatial analysis approach was applied, utilizing Geographic Information System (GIS) techniques supported by ArcGIS software. Data collection included field surveys, interpretation of land cover imagery from 2015 and 2025, estimation of potential carbon stocks, and questionnaire distribution to residents within a 2-km radius of industrial areas across three villages (Kasang, Katapiang, and Sungai Buluh). Analytical procedures involved overlaying carbon emission and land cover maps, calculating carbon concentrations, and processing perception data using a Likert scale to assess environmental, health, and socio-economic impacts. The results reveal: (1) the spatial distribution of carbon emissions is categorized into three levels—low, medium, and high; and (2) communities report deteriorating air quality, increased dust and air temperatures, respiratory illnesses, and reduced living comfort. These findings highlight the urgent need for industrial zoning-based carbon emission control and the establishment of vegetative buffers around industrial zones to enhance environmental sustainability and community well-being.
Disaster Learning Based on Local Wisdom Through a Simulation Learning Model Toward Students’ Disaster Preparedness in the Small Volcanic Island of Ternate Lukman, Syahril; Hi Halek, Dahri; Sakir, Revana; Putri, Rozana Eka
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.71212

Abstract

Ternate City is classified among the 170 regencies and cities identified as priority sites for disaster risk reduction by the Indonesian government, as designated by the National Disaster Management Agency (BNPB). This categorization is attributed to the geographic characteristics of Ternate Island, which is characterized as a small volcanic island featuring the active Gamalama Volcano, thereby presenting a significant disaster risk. These circumstances cause local residents, specifically junior high school students residing within the Gamalama Volcano Disaster-Prone Zone (Kawasan Rawan Bencana-KRB), to be particularly vulnerable to disasters. Therefore, the implementation of disaster education that incorporates the local wisdom of Ternate through a simulation-based learning model is crucial to enhance students’ preparedness and mitigate risks during potential disaster occurrences. This study aims to identify the level of disaster preparedness between an experimental group taught using a simulation learning model integrated with local wisdom-based disaster education and a control group taught using conventional learning. It also aims to compare the preparedness levels between both groups. The study employed a quasi-experimental method using a posttest-only control group design. The sample consisted of 192 students selected using cluster random sampling, consisting of 96 students in the experimental group and 96 students in the control group. Data analysis involved both descriptive quantitative analysis and comparative analytical techniques. The results indicate that the preparedness level of the experimental group was classified as “very ready,” with an index of 87.02. In contrast, the control group was categorized as “ready,” with an index of 73.58. Furthermore, the comparative analysis reveals that Sig. (2-tailed) = 0.000 < 0.05, suggesting a statistically significant difference between the two groups; hence, H0 is rejected while Ha is accepted. These findings confirm that the simulation learning model integrated with local wisdom-based disaster education significantly enhances student disaster preparedness in comparison to conventional educational methods.
Co-Authors Agustin, Meli Arie Zella Putra Ulni Dani, Rahma Dt. Tanamir, Momon. Erna M.Si Juita S.Pd Gusti, Hilda Amelia Hastari, Anggi Hendrian, Dina Hi Halek, Dahri Lukman, Syahril Muhammad Hafiz Nefilinda Nefilinda Novelia, Nabila Putri Nst, Shelina Rahma Rika Despica Sakerebau, Nesti Sakir, Revana Setiawan, Febry Gusnedi Setriani, Loli Slamet Rianto Wita, Sesri