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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.
What Can Spatial Assessment Reveal About Flash Flood Risk and Ecosystem Carrying Capacity in Tropical Highland Environments? Erna Juita; Dasrizal; Mohd Hairy Ibrahim; Elsa Yuniarti; Arie Zella Putra Ulni; Soni
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.11889

Abstract

Flash floods are among the most destructive hydrometeorological hazards in tropical highland regions, yet their spatial risks remain poorly quantified in data-scarce environments. This study assessed flash flood risk in Solok Selatan Regency, West Sumatra (Indonesia), by integrating landform and slope classification with the Topographic Wetness Index (TWI) derived from a 30 m DEM. Historical records of 11 flood events between 2010 and 2020 were used for model validation. The analysis revealed that most of the regency is characterized by moderate flash flood risk, while high-risk zones are concentrated in steep fluvial landscapes. Validation against observed flood locations demonstrated a spatial match of 95.2%, confirming the reliability of the model. In addition, the evaluation of hydrological ecosystem service capacity indicated that over 80% of the landscape has only moderate regulatory function, limiting its ability to buffer runoff. These findings highlight the importance of integrating DEM-based hydrological indices with ecosystem assessments to support more effective disaster risk reduction and spatial planning in tropical highland environments.
Spatial Analysis of Tourist Attractions for Geographic Information System-Based Tourism Development in Sijunjung Regency Hasana, Sari Fatul; Zuriyani, Elvi; Putra Ulni, Arie Zella
Jurnal Geografika (Geografi Lingkungan Lahan Basah) Vol 6, No 2 (2025): GEOGRAFIKA
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jgp.v6i2.16775

Abstract

Sijunjung Regency in West Sumatra possesses breathtaking natural and cultural wealth, including the renowned Silokek Geopark, yet its vast tourism potential remains largely underutilized due to a lack of integrated spatial information. This study addresses a critical research gap by providing a comprehensive spatial overview to transform raw potential into a strategically managed economic pillar. By utilizing Geographic Information Systems (GIS), the research offers a unique and compelling perspective on how mapping characteristics, distribution, and accessibility can drive more targeted, efficient, and sustainable tourism development. The research employs a quantitative descriptive approach, covering 76 identified tourist destinations across eight sub-districts in Sijunjung Regency. The methodology integrates GIS-based spatial analysis, utilizing field observations, GPS coordinate tracking, and Nearest Neighbor Analysis to identify distribution patterns. Furthermore, the study evaluates accessibility through buffering techniques at a 300–800 meter radius from main access points to measure the ease of reaching these diverse attractions. The findings reveal that Sijunjung’s tourism is heavily dominated by natural attractions (69.7%), with the spatial pattern classified as "clustered," particularly around the Sijunjung, Silokek, and Sumpur Kudus districts. While leading natural destinations generally enjoy good accessibility, many cultural and man-made sites remain difficult to reach due to inadequate infrastructure. The study concludes that GIS is a highly effective tool for tourism planning and recommends that local governments prioritize infrastructure improvements and community involvement to ensure equitable and sustainable regional growth.