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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 9 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2023): Juni" : 9 Documents clear
Kondisi Sosial Ekonomi Pembudidaya Rumput Laut di Desa Apal Kecamatan Liang Kabupaten Banggai Kepulauan Indra Jaman; Hermon Maurits Karwur; Xaverius Erick Lobja
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.2260

Abstract

The socioeconomic aspects of seaweed cultivators in Apal Village, Liang District, Banggai Islands Regency are the focus of this study. This study's sub-focus is income, educational background, and seaweed product marketing. The findings state that farmers' incomes are at low and medium levels. Due to financial constraints, high school costs, and a vast distance from secondary schools, seaweed cultivators can only acquire a basic education. Seaweed marketing at the local level. There has been no effort from the government or the community to expand marketing. The impact is that the economic conditions of seaweed cultivators have not improved.
Penerapan Model Pembelajaran Project Based Learning untuk Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran Geografi Juwita Amalda; Hermon Maurits Karwur; Muhamad Isa Ramadhan
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.4065

Abstract

This study seeks to ascertain how using the project-based learning approach affects bettering learning results. A non-equivalent control group design with a quasi-experiment is the technique employed. Independent Samples Test and N-Gain score analysis method. According to research, PjBL motivates students to do experiments, learn from experience, be creative, and learn new things. There was an impact of PjBL learning on learning outcomes, as evidenced by the tcount results of 4.121 with sig (2-tailed) 0.000 > 0.05 and a comparison of tcount values 4.121 > ttable 2.056. The PjBL learning paradigm significantly improves learning outcomes, with an N-Gain score of 67.31.
Penerapan Model Pembelajaran Inkuiri terhadap Hasil Belajar Siswa pada Mata Pelajaran Geografi Fernandi Seni Banari; Hermon Maurits Karwur; Irfan Rifani
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.4396

Abstract

The purpose of this study was to determine how the application of the inquiry learning model to student learning outcomes in Geography subjects at SMA Negeri 5 Halmahera Utara. Non-randomized control group pretest and posttest design were used in the research method, which is a quasi-experimental approach. The findings show the strong influence of the inquiry learning model on student learning outcomes for lithosphere material in the subject of Geography. This shows that the results of the posttest data analysis test using a t-test with a significance threshold of 0.05, where tcount > ttable is 14.91 > 1.76, is significant. Based on observations, the application of the inquiry learning model in the experimental class compared to conventional learning, its application was at a very good level of 93%.
Restorasi dan Revitalisasi Pasca Degradasi Ekosistem Mangrove di Paluh Merbau Kabupaten Deli Serdang Meilinda Suriani Harefa; Adeline Adeline; Feby Cyntia Silalahi; Michael Austin Lambue Panjaitan
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.5477

Abstract

This study aims to determine restoration and revitalization efforts after the degradation of mangrove ecosystems in Paluh Merbau. The observation method is direct observation of the mangrove area. The results show that the mangrove ecosystem is fragile and sensitive to change. Mangrove forest degradation in Paluh Merbau has been very severe; much mangrove vegetation has fallen due to being unable to withstand abrasion and sedimentation in coastal waters and continues to experience area shrinkage. Restoration and revitalization of the Paluh Merbau mangrove ecosystem were carried out by naming Rhizapora apiculata, Rhizapora stylosa, and Avicennia marina.
Optimalisasi Model ARIMA dalam Prakiraan Curah Hujan di Jambi Alya Claudina Anggun Nandarie; Abdul Aziz Al Badri; Yosafat Donni Haryanto
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.5776

Abstract

Process determine predicted monthly rainfall values for 2022, this study models rainfall forecasts. Observations of monthly rainfall over 30 years (1992–2022) were used to collect the data. The data is then analyzed using the Minitab application's ARIMA model to examine historical trends. For each model utilized, the forecast results are connected with the actual observation data in 2022. The model (1,0,1), (1,0,1) is used to calculate the difference to acquire a result of 54%, which is the best correlation value. The most accurate model for predicting monthly rainfall in Jambi is this one.
Validasi Data Model Prediksi Curah Hujan Satelit GPM, GSMaP, dan CHIRPS Selama Periode Siklon Tropis Seroja 2021 di Provinsi Nusa Tenggara Timur Achmed Gerland; Aprilliani Ersa S Dengo; Yosafat Donni Haryanto
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.5778

Abstract

Rainfall is also one of the meteorological parameters that are very influential in life. Measurements of this rainfall can also vary both from direct observations and remote sensing results from satellites. But often, data from satellites is not accurate for the conditions that occur in an area. The purpose of this study is to test the accuracy of product data from various GPM, GSMaP, and CHIRPS satellites with observational data using the Seroja tropical cyclone case study that will occur in 2021 in East Nusa Tenggara Province. Based on the results of the analysis, it can be seen that there are variations in various assessments, including RMSE, correlation, and contingency table analysis. In terms of correlation, it shows that the lowest correlation is in the Ruteng area based on data from the GSMaP satellite, and the highest correlation is in the Larantuka area based on data from the GSMaP satellite. Meanwhile, the satellite data that has the smallest error value is from the CHIRPS satellite data in the Maumere area.
Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031 Juan Steiven Imanuel Septory; Philia Chisti Latue; Heinrich Rakuasa
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.5801

Abstract

The rate of population growth that continues to increase in Ambon city with the availability of suitable land is relatively constant, resulting in inconsistencies between land requirements and available land. This study aims to analyze land cover changes in Ambon City in 2013, 2018, 2023 and predict land cover in 2031 using the Cellular Automata Markov Chain (CAMC) and the carrying capacity index of residential areas. The driving factors used in this study were elevation, slope, distance from the coastline, distance from the main road, distance from the river, distance from the center of economic activity and distance from protected areas. Based on the predictions of the Cellular Automata Markov Chain model in 2031, the built-up land cover has increased in area to 4,958.33 ha or 49,583,268 m2, with a predicted population of Ambon City in 2031 of 2,445,961 people. The calculation of the carrying capacity of residential land in 2031 in Ambon City results in the carrying capacity index of residential land of 1.27 m²/capita, meaning that if DDPm > 1 indicates the carrying capacity of residential land is high and still able to accommodate residents to live and build houses in the area. In other words, Ambon City can still accommodate an increase in settlements of 1.27 m²/capita.
Disparitas Pembangunan Wilayah Pesisir (Studi Kasus Kabupaten Pangkajene dan Kepulauan) Hasriyanti Hasriyanti; Grace Amanda Rammang; Mutmainnah Ali; Susiyanti Susiyanti
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v4i1.7042

Abstract

Coastal areas often have great economic potential because of easy access to natural resources, harbors, tourism, and trade activities. However, in many cases coastal development is uneven, and significant disparity occurs between developed regions and those left behind. The disparity of coastal development refers to significant differences in the development rate between different coastal regions. The problem of coastal development involves a few aspects to consider: development disparity: coastal regions often face disparity between those that have developed and those that have been left behind. Some coastal areas may have experienced significant economic growth and infrastructure development, while others are falling behind and lack access to basic resources and services. This study uses case studies the case study is the coastal region of kab. Pangkajene and islands. The case study method uses development inequality analysis methods. Size to analyze how high regional disparity is by means of the Williamson index (Williamson, 1965). The findings show the county of pangkajene is still below the standards of the provinces and the national. And still, inequality and inequality of people or gini ratio ratio to pangkajene and islands counties.
SAMPUL VOL. 4 NO. 1 (2023): Juni Geographia
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 4 No. 1 (2023): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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