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Gaby Nanda Kharisma
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Geographica: Science and Education Journal
Published by Universitas Sembilanbelas November Kolaka
ISSN : 27236560     EISSN : 27164837     DOI : https://doi.org/10.31327/gsej.v4i2
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Education Environmental Science Social Sciences
Geographica: Science and Education Journal is the information media for academics and researchers who have attention to developing the Geography both science and education. Geographica: Science & Education Journal is published by Study Program of Geography Education, Universitas Sembilanbelas November Kolaka. It provides a way for students, lecturers, and other researchers to contribute to the scientific development of Geography. Our scope of publications encompasses geography education, physical geography, human geography, regional planning and development, remote sensing and GIS. Geographica: Science and Education Journal welcomes original Research Articles and Review Papers. Geographica: Science & Education Journal publishes its issues twice a year in June and December.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Proses Permukaan Bumi
Articles 5 Documents
 1 
Search results for , issue "Vol 7, No 2 (2025): December" : 5 Documents clear
INTEGRATING SPATIAL MAPPING AND SOCIO-CULTURAL DYNAMICS FOR SUSTAINABLE ECOTOURISM MANAGEMENT AT GOA ERGENDANG: A GEO-ANTHROPOLOGICAL STUDY IN DELI SERDANG REGENCY Br Barus, Mita Nalsalisa; Hutasuhut, Vadillah Raihto; Fahmi, Muhammad Najmul; Simanullang, Angelo Arevalo; Oktavira, Annisa; Matondang, M Faoug Ghazali
Geographica: Science and Education Journal Vol 7, No 2 (2025): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/gsej.v7i2.2613

Abstract

Goa Ergendang, a unique geo-cultural site in Deli Serdang, Indonesia, possesses significant ecotourism potential, including natural hot springs, stalactites, and rich local folklore (the Umang mythos). However, its development is severely hindered by informal community self-management, poor infrastructure, and a critical lack of spatial information for visitors. This research aims to (1) identify the fundamental challenges in its sustainable management and (2) formulate an integrated management model based on a geo-anthropological approach. This study employed a mixed-method design, integrating quantitative spatial analysis (GIS) with qualitative socio-cultural analysis. Methods included GIS mapping for accessibility, topography, and potential zoning, combined with in-depth interviews with local managers, stakeholders, and visitors. The findings reveal four primary challenges: (1) weak institutional capacity due to informal management, leading to resource limitations and poor heritage protection (e.g., the destruction of the "sacred drum stone"); (2) severe  infrastructural barriers, particularly damaged access roads; (3) a critical spatial information gap, evidenced by 16 hidden pools remaining unknown to visitors due to a lack of maps; and (4) high physical vulnerability from steep topography and corrosive acidic water. This research proposes a sustainable management model based on Community-Based Ecotourism (CBT) supported by GIS planning. In this model, GIS functions as the objective physical planning tool for conservation zoning and visitor navigation, while a formalized community institution (e.g., BUMDes/Village-Owned Enterprise) acts as the socio-cultural manager, responsible for revitalizing local culture (Ergendang and Umang myths) as a core attraction. This integrated geo-anthropological model provides a clear pathway to optimize the area's unique potential sustainably.
IPCC-Based Household Climate Vulnerability Index in Salokaraja Village, South Sulawesi Rusdi, Rusdi; Miharja, Helmi Ayuradi; Armadani, Inaz; Arfandi, Arfandi; Syahruddin, Darma Jaya
Geographica: Science and Education Journal Vol 7, No 2 (2025): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/gsej.v7i2.2512

Abstract

Climate change is intensifying floods and droughts across rural Indonesia, yet vulnerability assessments rarely drill down to the village scale. This study evaluates household-level vulnerability in Salokaraja Village, Soppeng Regency, through the IPCC framework of exposure, sensitivity, and adaptive capacity. Primary data were gathered via a survey of 115 households, key-informant interviews, and focus-group discussions; long-term rainfall records (2000-2023), disaster reports, and a 30-m DEM provided secondary inputs. Indicators were normalised, weighted, and combined into a composite index, then analysed statistically and mapped using GIS interpolation. Results reveal that 34 % of households are highly vulnerable, with an average index score of 0.55; flood-plain exposure and rice-monoculture dependence drive risk, while adaptive capacity—particularly credit access (27 %) and climate-information literacy (46 %)—shows a strong negative relationship with vulnerability (? = –0.44). Policy recommendations include rehabilitating tertiary irrigation and flood canals, integrating BMKG seasonal outlooks into extension services, offering subsidised "Green KUR" credit for adaptive investments, and revitalising farmer groups as co-production platforms for climate information. The findings highlight that strengthening human, financial, and institutional capital is as critical as hazard control in building rural climate resilience.
INTEGRATION OF CELLULAR AUTOMATA - ARTIFICIAL NEURAL NETWORK TO PREDICT THE PATTERN OF LAND CHANGE INTO RESIDENTIAL FLOORS ON REMPANG ISLAND Siregar, Razita Zahra; Anurogo, Wenang
Geographica: Science and Education Journal Vol 7, No 2 (2025): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/gsej.v7i2.2524

Abstract

Unstable or fluctuating land use changes cause land degradation, reduced absorption capacity, and decreased land value. This study aims to predict land use on Rempang Island in 2029 using the Cellular Automata - Artificial Neural Network method to obtain a spatial picture of land use development, particularly residentials, so that the negative impacts of change can be anticipated early. CA is applied to simulate the spatial dynamics of land use change, and Artificial Neural Network is used to analyze historical data (land use in 2014, 2019, and 2024) and driving factors in predicting future land use changes. The driving factors used are slope inclination, area designation, and disaster risk. Land use change modeling was performed using the MOLUSCE plugin in QGIS software. The results of the study show that land use change in 2029 will experience a decrease in vegetation area of 5,987.15 hectares and open land area of 7,373.78 hectares. Residential and water areas are expected to increase. The residential area will increase to 1,932.32 hectares and the water area will increase to 170.55 hectares. The modeling of predicted land use on Rempang Island in 2029 produced an accuracy value with a strong interpretation of 79.01%.
MANAGING MOBILITY FOR SUSTAINABLE TOURISM: EVIDENCE FROM INDONESIA Bakty, Andi Fatimah Maoudy A; Jasman, Jasman
Geographica: Science and Education Journal Vol 7, No 2 (2025): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/gsej.v7i2.2543

Abstract

Losari Beach, a prominent tourist destination in Makassar City, faces various challenges in mobility management during major events such as the Makassar International Eight Festival Forum (F8). The surge in tourist numbers often results in traffic congestion, increased carbon emissions, and pressure on public infrastructure. This study explores the application of sustainable transport concepts to address these issues, which have become a concern for both local communities and visiting tourists during large-scale events in Makassar. Through multimodal and intermodal approaches, transportation modes such as shuttle buses, cycling lanes, and pedicabs can be integrated to create environmentally friendly systems that enhance connectivity and improve the tourist experience.The revitalization of traditional transportation, such as equipping pedicabs with electric motors, is proposed as a short-distance transportation solution that not only supports carbon emission reduction but also reinforces the cultural heritage of Makassar. Additionally, transportation demand management (TDM) measures, such as high parking fees and incentives for using eco-friendly modes, can help reduce reliance on private vehicles in the Losari Beach area. This approach also encourages local community participation in sustainable transport systems through the training of pedicab drivers as tourist guides.The findings of this study indicate that sustainable transportation management in Losari Beach requires the integration of policies, infrastructure, and technology, as well as collaboration among governments, event organizers, and local communities. Implementing this concept not only reduces the negative environmental impacts of transportation but also aims to enhance the tourism appeal of Losari Beach by providing authentic cultural experiences. Consequently, this area can serve as a successful example of a sustainable tourism destination that empowers local communities
Spatial Analysis of Physico-Chemical Parameters of Water and Soil in the Kuala Langsa Mangrove Ecosystem, Aceh Isma, Muhammad Fauzan
Geographica: Science and Education Journal Vol 7, No 2 (2025): December
Publisher : USN Kolaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31327/gsej.v7i2.2547

Abstract

Mangrove ecosystems play a vital role in maintaining coastal ecological balance through their biological, hydrological, and economic functions. However, increasing anthropogenic activities such as aquaculture, settlement expansion, and infrastructure development have led to environmental degradation in the mangrove areas of Kuala Langsa, Aceh. This study aims to analyze the physicochemical characteristics of water and soil in three mangrove zones—ecotourism, residential, and airport areas—by measuring parameters such as temperature, oxidation-reduction potential (Eh), water and soil pH, salinity, and moisture content. Field sampling was conducted in situ in February 2024 using a purposive sampling method, while data analysis was performed descriptively and quantitatively. The results show that Station 1 (Mangrove Ecotourism Area) exhibited the best environmental conditions, with an average temperature of 30 °C, Eh of 141.67 mV, water pH of 7.14, soil pH of 6.34, salinity of 33‰, and soil moisture of 67.6%. Station 2 (Residential Area) experienced higher anthropogenic pressure, indicated by higher temperature (33.33 °C), negative Eh (-159.33 mV), and lower salinity (2‰). Meanwhile, Station 3 (Airport Area) showed stable environmental conditions with a positive Eh (115.33 mV), neutral pH, salinity of 2.5‰, and moisture of 32.33%. Overall, the Kuala Langsa mangrove ecosystem still demonstrates a good degree of ecological resilience, although some areas have experienced degradation due to human activities. This study highlights the importance of ecosystem-based adaptive management through domestic waste control, tourism activity regulation, and mangrove vegetation conservation as ecological buffer zones to sustain the environmental functions of coastal ecosystems.

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