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Irfan Rifani
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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 152 Documents
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Implementasi Sistem Informasi Geografis dalam Pemetaan Kejadian ISPA di Wilayah Kerja Puskesmas Cipatat Fitriani, Winda Syahrian; Firmansyah, Yura Witsqa
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.10460

Abstract

Cases of ARI disease in the Cipatat Health Center working area in December 2023-February 2024 are still high with 1,298 cases and no ARI disease mapping has been done. This study aims to determine the autocorrelation of prevalence, distribution patterns, number of cases, point prevalence rate value and distribution of ARI disease in the Cipatat Health Center working area. This type of research is correlation with a spatial approach based on the Moran index and with a retrospective cohort study. The data collection technique was purposive sampling, namely files taken in December 2023-February 2024 with the highest number of cases in Citatah village with 598 cases. The highest point prevalence rate value is in Citatah village with 360, the distribution is done with four-level clustering with the highest level of cases in Citatah and Cipatat villages. Based on spatial statistics, the p-value is 0.00, the hypothesis H1 is accepted and H0 is rejected because the p-value is less than α (5%). Factors causing ARI are internal community factors and external environmental factors. It can be concluded that the incidence of ARI in the Cipatat Health Center working area is cluster-shaped, which means that there are similarities in the characteristics of the incident area with other areas so that regional-based disease prevention interventions are needed.
Development of Disaster Knowledge Measurement Instrument for Visitors in Volcanic Tourism Areas Budiatiningsih, Mahmudah; Ikhsanudin, Ikhsanudin; Irsyad, Maulana Malik
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.10471

Abstract

This study aims to develop an instrument to measure the disaster knowledge of the visitors of volcanic disaster-prone tourism area. This study is a design and development research, using test development procedure stated by Oriondo & Dallo-Antonio. The test development procedures are (1) designing or drafting test, (2) field testing, (3) measuring validity, (4) measuring reliability. The field test was done by online test on 123 respondents that were sampled by convenience sampling. The test instrument analysis was done by expert judgement, the objective validity test based on Rasch Model and the reliability test based on K-20 reliability test. The objective validity and reliability test were done using Quest program. The test results showed that the instruments are valid and reliable. The objective validity test showed that 31 items on the instruments fit with Rasch model with the items range of INVIT MNSQ score are 0.88-1.11 and the items range of OUTFIT T are -1 to +1.2. The item reliability score is 0.96 and the case reliability score is 0.59. Based on the validity and reliability tests results, the instrument is qualified to measure the volcanic disaster-prone tourism area visitors’ disaster knowledge.
Integrasi Random Forest dan Landscape Expansion Index (LEI) untuk Identifikasi Pola Perkembangan Perkotaan Yogyakarta Hidayati, Iswari Nur; Andita, Aning; Herdiansyah, Herdiansyah
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.10493

Abstract

The urban areas of Yogyakarta and its surroundings have experienced highly dynamic growth. Therefore, research is needed to analyze urban development, starting with land cover and land use analysis using Landsat TM and Landsat 8 OLI imagery. Random Forest (RF) classification, a machine learning-based method, was employed to accelerate the land cover and land use classification process. This study combines the Random Forest and Landscape Expansion Index (LEI) methods to analyze land use changes and urban growth patterns. LEI was utilized to identify urban development types, such as outlying (diffusion), edge expansion, and infilling.  The study highlights the roles of RF and Google Earth Engine (GEE) in land cover and land use classification. The results show that Yogyakarta and its surrounding urban areas are predominantly expanding outward, following an edge expansion pattern, especially toward Sleman and Bantul regencies. Additionally, infilling growth is observed in Gondomanan and Gondokusuman sub-districts, which are already densely populated areas. Outlying development patterns were found in Sleman and Bantul regencies, occurring far from the Yogyakarta city center.  This study underscores that the combination of RF, GEE, and LEI is an effective method for analyzing urban growth patterns.
Media Pembelajaran Peta Berbasis Web untuk Meningkatkan Minat Belajar Siswa Otoluwa, Yemima; Sumarmi, Sumarmi; Bachri, Syamsul
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.10624

Abstract

This research is a research and development that produces learning media based on the media feasibility and effectiveness. The resulting product is a web-based map learning media on the material of Geographic Information Systems at Grade XII. This research used the ADDIE development model (Analysis, Design, Development, Implementation, & Evaluation). The instrument used was a questionnaire for validators, teachers, and students. The results of the validation test were 89.56% with valid criteria, which means a trial can be carried out. The results of the student trial obtained a score of 86.58%, while the average student learning outcome was 83.75% and the results of the teacher's trial obtained a score of 95%. The results were categorized into effective criteria. Thus, the media can be used properly.
Pemahaman Geometri Danau Tondano melalui Pendekatan Batimetri dan Morfometrik Kumaat, Jocye Christian; Tumengkol, Aghata Archenta; Liuw, Chistian Beckham
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 5 No. 2 (2024): Desember
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v5i2.11313

Abstract

In order to understand the geometric characteristics of Lake Tondano and to obtain a comprehensive picture of the lake's geomorphological structure and dynamics, this study utilized various descriptive-analytical approaches. These approaches included hydrographic surveys, spatial analysis techniques, bathymetry, and morphometrics. The bathymetric analysis of Lake Tondano reveals a maximum depth of 30.22 meters, with a total water volume of 590,647,445.7 m³. Morphometric analysis yielded a maximum length of 11,024.75 meters, a maximum width of 2,940.01 meters, a surface area of 45,434,418.9 m², and a circumference length of 43,121.56 meters. The results indicate that the contour map and 3D visualization depict detailed information regarding depth variations and bottom topography. The average depth of 13.00 meters exerts a substantial influence on water productivity and nutrient distribution. The volume development (VD) value of 1.29 suggests that Lake Tondano is a shallow lake with a flat bottom.This research underscores the necessity for regular monitoring of water volume changes to comprehend ecosystem dynamics and the impacts of human activities. The study's findings underscore the significance of a comprehensive understanding of morphometric parameters and water volume in managing water resources, formulating conservation policies, and advancing research in aquatic ecology within Lake Tondano.
Ground Clutter Filtering pada Radar Cuaca Manado Utama, Dhira; Sukojo, Bangun Muljo
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.11699

Abstract

This study aims to improve the accuracy of Manado weather radar data by filtering ground clutter interference originating from reflections of surface objects such as mountains and buildings. The scope of the study includes the analysis of Manado weather radar reflectivity data in 2024, focusing on the North Sulawesi region. The methods used include thresholding techniques to separate weather signals from ground clutter, data processing using the Python programming and the wradlib module, and validation based on Himawari-9 satellite imagery and Automatic Weather Station (AWS) data. Radar data in VOL format is converted to geospatial projections to produce CMAX (Column Maximum Reflectivity) products and integrated with SRTM30 topographic data. The results show that thresholding is effective in reducing ground clutter, with a correlation value between radar rainfall estimates and AWS observations reaching 0.859 (MAE: 0.306 mm/10 minutes; RMSE: 1.283 mm/10 minutes). Mapping the results via Web GIS facilitates visualization of corrected data. The study's conclusion states that this method improves the accuracy of radar interpretation and rainfall estimates. This study provides operational contributions to weather information-based disaster mitigation in the Manado region.
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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