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INDONESIA
GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi
Published by Universitas Negeri Manado
ISSN : -     EISSN : 27746968     DOI : https://doi.org/10.53682/gjppg.v2i2
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Education Environmental Science Social Sciences Other
Journal of Geographia focuses on the field of geography education and research based on empirical research written by academics, researchers, professionals, and practitioners. The scope of the Geographia Journal covers the fields of education in Geography, physical geography, social and cultural geography, Remote Sensing, GIS, Geography study classroom action research, development of Geography learning models and methods, Geography learning content studies, and multidisciplinary environment. The journal is published in June and December.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol. 6 No. 2 (2025): Desember" : 7 Documents clear
Sebaran Vegetasi Bunga Edelweis di Kawasan Taman Nasional Kelimutu dengan Citra Lansat 8 TM Siki, Theodosia Monika; Pani, Emilianus; Semiun, Chatarina Gradict
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i2.10450

Abstract

Edelweis (Anaphalis longifolia) is one of Indonesia's mountain vegetation that grows at an altitude of 1,000–2,000 meters above sea level and plays a role as a pioneer plant in volcanic soils. Anaphalis longifolia is one of the places in Kelimutu National Park, which spans altitudes of 1,000–1,731 meters above sea level. Using Landsat satellite imagery, the research aims to identify environmental factors influencing edelweis distribution. Data collection was conducted across six tracking routes: Moni, Wologai-Protelindo, Dedumudi, Niowula, Ratebeke, and Saga-Bukit Sokoria, combining field observations with the analysis of Landsat 8 imagery, elevation SHP, rock type SHP, and NDVI values. The results of the study show that the distribution of edelweis is most commonly found at an altitude of 1471-1599 meters above sea level. Meanwhile, the distribution of edelweis is at least at an altitude of 1114-1200 meters above sea level. The types of rocks in the Kelimutu National Park area are young volcanic rocks and the distribution of edelweis tends to be more abundant in areas with moderate NDVI values (0.25-0.35). Environmental factors such as temperature, humidity, sunlight intensity, soil pH, and wind speed play a role in the spread of Edelweis in Kelimutu National Park.
Perbedaan Kemampuan Berpikir Spasial Siswa berdasarkan Gender di SMA Muhammadiyah 1 Karanganyar At tamimi, Ghulam Abas; Wardhani, Puspita Indra; Dewi, Ratih Puspita; Widiyatmoko, Wahyu; Wibowo, Yunus Aris
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i2.10911

Abstract

Spatial thinking ability in the 21st century is crucial for students to respond to challenges and global competition. While each student possesses different spatial thinking abilities, these abilities are also vulnerable to decline due to the uncertain global conditions. This study aims to analyze spatial thinking abilities based on students' gender through the Spatial Thinking Ability Test (STAT). The research employs a comparative method with quantitative data analysis using a two-sample t-test. The subjects of this study were male and female students at Muhammadiyah Senior High School 1 Karanganyar. Data collection was carried out using a test. The results showed that the average spatial thinking ability score for male students was 181.45, while female students scored 139.10. The Asymp. Sig. (2-tailed) value of 0.000, with a significance value (sig.) < 0.05, indicates that the alternative hypothesis (Ha) is accepted, while the null hypothesis (H0) is rejected. In conclusion, there is a significant difference in spatial thinking abilities, suggesting that male students at Muhammadiyah Senior High School 1 Karanganyar tend to have higher spatial thinking abilities than female students.
Mapping Land Potential and Carrying Capacity for Cattle Breeding Area Development Arini, Audi Cindra; Safitri, Isti Farin Oktafia; Aini, Maulidya Nur
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i2.10416

Abstract

Resources have a crucial role in maintaining the sustainability of human life and the surrounding ecosystem. Malang Regency, one of the regions with the largest number of beef cattle in Indonesia, has great potential to support the growth of the livestock sector with 234,481 beef cattle and is ranked fifth nationally. Optimal support, especially land carrying capacity, is the key to maximizing the potential of the livestock sector. The establishment of a livestock area in Tumpang District is a strategic step to increase production capacity and availability of animal feed. This research uses a Mixed Methods method with a spatial approach, involving data analysis such as unsupervised classification, evaluation of natural forage potential, and calculation of the Forage Carrying Capacity Index (IDD). The findings show that all villages in Tumpang District have an IDD above 2 so they are categorized as safe. With several potential villages such as Pulungdowo, Duwet Krajan, and Bejor. With these findings, strategic steps can be taken to utilize this potential sustainably to increase the contribution of the livestock sector in Malang Regency.
Perbedaan Kemampuan Berpikir Spasial Siswa berdasarkan Gender di SMA Muhammadiyah 1 Karanganyar At tamimi, Ghulam Abas; Wardhani, Puspita Indra; Dewi, Ratih Puspita; Widiyatmoko, Wahyu; Wibowo, Yunus Aris
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i2.10911

Abstract

Spatial thinking ability in the 21st century is crucial for students to respond to challenges and global competition While each student possesses different spatial thinking abilities these abilities are also vulnerable to decline due to the uncertain global conditions This study aims to analyze spatial thinking abilities based on students gender through the Spatial Thinking Ability Test STAT The research employs a comparative method with quantitative data analysis using a two sample t test The subjects of this study were male and female students at Muhammadiyah Senior High School 1 Karanganyar Data collection was carried out using a test The results showed that the average spatial thinking ability score for male students was 181 45 while female students scored 139 10 The Asymp Sig 2 tailed value of 0 000 with a significance value sig lt; 0 05 indicates that the alternative hypothesis Ha is accepted while the null hypothesis H0 is rejected In conclusion there is a significant difference in spatial thinking abilities suggesting that male students at Muhammadiyah Senior High School 1 Karanganyar tend to have higher spatial thinking abilities than female students < em>< p>
Earthquake clustering analysis in North Sumatra region based on double-difference relocation Purba, Rini Kumala Sari; Aisjah, Aulia Siti; Arifin, Syamsul; Nugroho, Hendro
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/e7n0yj02

Abstract

North Sumatra is an active tectonic zone influenced by the complex interaction between the subduction of the Indo-Australian plate and the movement of the Sumatra Fault. Accurate determination of earthquake hypocenter locations is crucial for seismotectonic modeling and disaster mitigation. This study aims to improve the precision of earthquake hypocenter location in this region through the implementation of the Double-Difference (HypoDD) relocation method and to analyze clustering based on the spatial distribution of earthquakes to identify active fault segments. The earthquake data used came from local seismic station catalogs during the period 2008–2024. The application of the HypoDD method significantly reduced the Root Mean Square (RMS) value of the average seismic phase arrival residual from 0.79373 to 0.33888, indicating an increase in the accuracy of the hypocenter location. Earthquake clustering analysis identified a total of 10 clusters that showed a strong correlation with the surrounding geological structure. The shallow earthquake cluster in the Tarutung region was dominated by a strike-slip fault mechanism, which definitively confirmed that the Renun Segment is an active segment of the Sumatra Fault with intense activity. In addition, a swarm pattern with low magnitude and very shallow depth (<15 km) was identified in the Toba Basin (Cluster 2), indicating the contribution of tectonic-magmatic processes. The cluster of medium- to deep-depth earthquakes (70–150 km) is strongly associated with subduction activity in the Sumatra intraslab megathrust zone. Overall, this study successfully mapped the spatial distribution pattern of earthquake sources in greater detail, contributing significantly to the updating of earthquake hazard maps and the determination of active fault zones in North Sumatra.
Daily rainfall forecast based on multi-station observation data in Medan City Sinaga, Nora Valencia; Aisjah, Aulia Siti; Arifin, Syamsul; Saragih, Immanuel Jhonson Arizona
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/82y51t67

Abstract

This study develops a multi-horizon daily rainfall forecasting model using the Long Short-Term Memory (LSTM) deep learning method, based on multi-station Automatic Weather Station (AWS) data in Medan City. Ten-minute AWS data from multiple stations (2021–2024) were merged and time-synchronized (UTC), followed by a quality control process including physical range checks, rate-of-change filtering, inter-variable consistency checks, and spike detection. Missing values were addressed using linear interpolation for short gaps and Multiple Imputation by Chained Equations (MICE) for longer gaps. Predictor features were constructed from weather parameters (temperature, humidity, pressure, wind, radiation), aggregated to an hourly scale, and reshaped into input time windows for LSTM. A two-layer LSTM model (128–64 units, 0.3 dropout, Adam optimizer) was trained to predict daily rainfall up to five days ahead. Evaluation metrics, including RMSE, MAE, POD, FAR, and CSI (with rainfall threshold ≥1 mm/day), indicated strong model performance: for instance, RMSE was below 10 mm/day for 1–3 day horizons, with POD above 0.80 and FAR below 0.20. The LSTM model outperformed conventional statistical models, yielding an accuracy improvement of approximately 30–40%. These findings highlight the potential of high-resolution AWS-based automatic forecasting systems to support hydrometeorological disaster mitigation in tropical urban areas.
Struktur dan dinamika sektor ekonomi perkotaan: analisis basis ekonomi kota Kotamobagu tahun 2018-2022 Rifani, Irfan; Wenas, Richy Imanuel; Sangari, Imanuel Keygo; Leme, Renita; Putri, Anindya Puspita
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 2 (2025): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/7xv23p10

Abstract

Regional economic development requires understanding of economic structure and sectoral dynamics to formulate effective and sustainable policies. This study aims to analyze the economic structure and sectoral dynamics of Kotamobagu City by identifying base and non-base sectors and assessing their medium-term sustainability prospects. A descriptive quantitative approach was employed using Gross Regional Domestic Product (GRDP) data of Kotamobagu City and North Sulawesi Province at constant prices for the period 2018–2022. The analysis applied the Location Quotient (LQ) and Dynamic Location Quotient (DLQ) methods. The results indicate that Kotamobagu’s economy is dominated by service sectors, particularly public administration, financial services, social services, and construction, which function as base sectors. However, DLQ analysis reveals that not all base sectors exhibit sustainable growth prospects. Conversely, several non-base sectors demonstrate positive growth dynamics and potential role repositioning. These findings confirm that sectoral advantages are dynamic and cannot be adequately assessed using static approaches alone. This research provides a theoretical contribution to the development of regional economic analysis based on sectoral dynamics and serves as an empirical basis for the formulation of regional economic development strategies.

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