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All Journal Jurnal Perencanaan Wilayah dan Kota Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Sumberdaya Alam dan Lingkungan Journal of Applied Geospatial Information Jurnal Geografi Jurnal Ulul Albab DoubleClick : Journal of Computer and Information Technology JURNAL SWARNABHUMI J SIG (Jurnal Sains Informasi Geografi) Biopendix: Jurnal Biologi, Pendidikan dan Terapan Journal of Tourism and Creativity Science Map Journal Journal of Innovation Information Technology and Application (JINITA) International Journal of Multidisciplinary: Applied Business and Education Research Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat El-Jughrafiyah : Jurnal Geografi dan Terapannya Nusantara Journal of Behavioral and Social Science Jurnal Penelitian Geografi (JPG) Journal of Information Systems and Technology Research PREVENIRE: Journal of Multidisciplinary Science Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Jurnal Geosains West Science jgeo International Journal of Multidisciplinary Approach Research and Science Journal of Education Method and Learning Strategy GEOFORUM Jurnal Geografi dan Pendidikan Geografi Sinergi International Journal of Communication Sciences Sinergi International Journal of Economics Sinergi International Journal of Education Rumphius Pattimura Biological Journal Calamity: A Journal of Disaster Technology and Engineering Pancasila International Journal of Applied Social Science Journal of Health Science and Medical Therapy Jurnal Riset Multidisiplin dan Inovasi Teknologi Journal of Community Service and Society Empowerment Jagratara: Journal of Disaster Research Journal of Geographical Sciences and Education Journal of International Multidisciplinary Research Journal of Data Analytics, Information, and Computer Science (JDAICS) Rechtsvinding Journal Education Innovation Asian Journal of Environmental Research Journal of Scientific Insights Jurnal Teknologi dan Sains Modern Journal of Environment and Geography Education Applied Engineering, Innovation, and Technology Journal of Engineering and Science Application JERIT: Journal of Educational Research and Innovation Technology JOAPE Journal of Applied Research In Computer Science and Information Systems Frontiers in Sustainable Science and Technology Indonesian Journal of Fundamental and Applied Geography Scientific Journal of Engineering Research Journal of Selvicoltura Asean International Journal of Educatio Elementaria and Psychologia Journal of Loomingulisus ja Innovatsioon Techno Agriculturae Studium of Research
Rakuasa, Heinrich
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Integrating Geography in Disaster Education: A Step Toward a Disaster Resilient Ambon City Manakane, Susan E; Latue, Philia Christi; Rakuasa, Heinrich
Sinergi International Journal of Education Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/education.v1i2.72

Abstract

The alignment of geography concepts in disaster education is an important strategy to build an Ambon City that has high preparedness in facing disaster risks. The integration of geography concepts enables a deeper understanding of geographical factors that influence risk, such as location and topography. This research uses a descriptive Qualitative Method by conducting a literature study. The results show that through disaster education that incorporates aspects of geography, communities can plan appropriate mitigation actions and design disaster-resistant infrastructure. Cross-sector collaboration between the government, private sector, community organizations, and educational institutions is the foundation in dealing with disaster risks in a holistic way. This integrated disaster education builds high awareness of risks and the environment, provides mental and physical preparedness in the face of crisis, and forms a solid foundation for a safer and more resilient future. In the face of disaster threats, integrating geography in disaster education is an important milestone in making Ambon City a city that is ready and resilient in the face of various natural challenges and crises.
Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth Engine Rakuasa, Heinrich; Sihasale, Daniel Anthoni
Journal of Innovation Information Technology and Application (JINITA) Vol 5 No 1 (2023): JINITA, June 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v5i1.1869

Abstract

Rapid urban development and increasing human activities in the city can affect the decline in the Vegetation Index in Ambon City. The research aims to analyze the vegetation index using sentinel-2 satellite image data with the Normalized Difference Vegetation Index (NDVI) method based on Google Earth Engine (GEE) in Ambon City in 2023. This research uses Sentinel-2 Satellite Image data which is analyzed using Google Earth Engine with the Normalized Difference Vegetation Index (NDVI) method. The results showed that the vegetation index value in Ambon City in 2023 was the lowest value of -0.672381 and the highest value of 0.949297. The vegetation index value is then divided into four classes, namely No Vegetation which has an area of 4,448.99 ha or 13.67%, Low Vegetation areas have an area of 1,611.06 ha or 4.95%, Moderate Vegetation areas have an area of 2,895.12 ha or 8.89% and High Vegetation areas have an area of 23,597.35 ha or 72.49%. Analysis of the vegetation index in Ambon City is very important to maintain environmental balance and a healthy and sustainable environment.
Spatial Temporal Analysis of Land Surface Temperature Changes in Ambon Island from Landsat 8 Image Data Using Geogle Earth Engine Rakuasa, Heinrich
Journal of Applied Research In Computer Science and Information Systems Vol. 2 No. 1 (2024): June 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v2i1.123

Abstract

This study aims to analyze land surface temperature changes on Ambon Island using Landsat 8 imagery data and Google Earth Engine. The research method involves the use of Ambon Island boundary data from the Geospatial Information Agency (BIG) as well as Landsat 8 Collection 2 Tier 1 and Real-Time satellite image data that have been calibrated to reflect the reflectance of the Earth's surface to the atmosphere. The analysis steps include temperature conversion from Kelvin to Celsius, land surface temperature classification, and data export to Arc GIS software. The results showed an increase in land surface temperature associated with urban development in Ambon City, highlighting the importance of sustainable urban planning and good resource management to mitigate the negative impacts of land surface temperature increase and support adaptation to climate change.
Identification of Potential Landslide Areas in Nusaniwe Sub-district using Slope Morphology Method Rakuasa, Heinrich
Journal of Applied Research In Computer Science and Information Systems Vol. 2 No. 1 (2024): June 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v2i1.124

Abstract

This study aims to identify potential landslide areas in Nusaniwe Sub-district using the Slope Morphology Method (SMORPH) based on slope and slope shape analysis. The results show that the complex geological and topographical conditions in the area increase the risk of landslides, with areas of high slope and steep slope shapes tending to be landslide hotspots. Interdisciplinary collaboration, community education, and the development of effective mitigation strategies are key in reducing the risk of landslides in Nusaniwe Sub-district and similar areas.
Assessing Settlement Suitability Using Road Network Analysis for Sustainable Urban Planning in Ambon City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.39

Abstract

The availability of infrastructure, particularly the road network, is a critical factor influencing the spatial distribution and suitability of land for settlement development in Ambon City. This study aims to assess settlement suitability by analyzing the relationship between settlement areas and their proximity to the road network, with a focus on supporting sustainable urban planning. Using road network data and SPOT 6 satellite imagery, the research employs a buffer technique to categorize settlements into three zones based on their distance from the nearest road: less than 100 meters, between 100 and 750 meters, and more than 750 meters. The findings reveal that settlements located within 100 meters of the road network cover 8,538.43 hectares, or 26.21% of the total settlement area. Settlements situated between 100 to 750 meters from roads account for 11,634.20 hectares (35.72%), while those farther than 750 meters from the road network occupy 12,401.05 hectares, representing 38.07% of the total settlement area. These results underscore the critical role that proximity to roads plays in determining the suitability of land for residential development, with a noticeable concentration of settlements closer to transportation infrastructure. The outcomes of this study provide valuable insights for urban planners and policymakers in Ambon City, offering a spatial understanding of settlement distribution that can guide future infrastructure development and land use policies.
Utilization of Digital Elevation Models in Slope Morphology Analysis for Landslide Identification in Ternate City, Indonesia Rakuasa, Heinrich; Budnikov, Viktor Vladimirovich; Adifan, Muhammad Rayhan
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.40

Abstract

 Ternate City, located in the North Maluku archipelago, Indonesia, has hilly geographical and morphological conditions that make it vulnerable to landslides. This research aims to identify potential landslide risks by utilizing the Digital Elevation Model and slope morphology analysis and provide recommendations for disaster mitigation. This study used Digital Elevation Model (DEM) data obtained from the Indonesian Geospatial Information Agency, as well as land use data extracted from Sentinel 2 satellite imagery. The Slope Morphology (SMORPH) method was applied to analyze the shape and slope, which was then used to generate a landslide potential map. The analysis results show that 1,391.72 hectares of area in Ternate City have a high risk of landslides, with factors such as slope, slope shape, and land use conditions contributing to soil stability. The study also identified the importance of risk mapping and socialization to the community on early signs of landslides to improve preparedness.  This research confirms the need for comprehensive and sustainable mitigation efforts to reduce the impact of landslides in Ternate City. Recommendations include infrastructure strengthening, drainage channel construction, and reforestation in critical areas. The results of this study are expected to serve as a basis for policymakers to formulate more effective disaster mitigation strategies and increase public awareness of the importance of wise environmental management.
PEMODELAN SPASIAL PERUBAHAN TUTUPAN LAHAN DAN PREDIKSI TUTUPAN LAHAN KECAMATAN TELUK AMBON BAGUALA MENGGUNAKAN CA-MARKOV Somae, Glendy; Supriatna, S; Rakuasa, Heinrich; Lubis, Aufar Raynanda
J SIG (Jurnal Sains Informasi Geografi) Vol 6, No 1 (2023): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v6i1.1832

Abstract

Teluk Ambon Baguala District, is one of the sub-districts in Ambon City which has experienced a significant increase in population. Along with the increasing population, the need for residential, infrastructure and industrial land is increasing. This will certainly have an impact on the conversion of other cover to uncontrolled built-up land, environmental damage and natural disasters. This study aims to analyze land cover changes in Teluk Ambon Baguala District in 2014, 2018, 2022 and predict land cover models in 2026, 2030 and 2034. The driving factors used are slope, land height and distance from the road. This study uses the CA-Markov method to predict future land cover. The results of the analysis of changes and predictions of land cover in 2014, 2018, 2022, 2026, 2030 and 2034 show that built-up land continues to increase in area along with increasing population and the high demand for built-up land which is increasing.
Transforming Education in the Age of Artificial Intelligence: Challenges and Opportunities in Indonesia, A Literature Review Rakuasa, Heinrich; Dzaka Ashriel Faris; Muh. Hidayatullah
Journal Education Innovation (JEI) Vol. 2 No. 1 (2024): Januari 2024
Publisher : Yayasan Perguruan Kampus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65474/qhps7h31

Abstract

In the era of artificial intelligence, education transformation in Indonesia faces significant challenges and opportunities. Key challenges involve disparities in technology access between regions, curriculum adjustments, and teachers' lack of understanding of artificial intelligence. Meanwhile, opportunities include the potential for personalized learning, responsive curriculum development, and the use of artificial intelligence in learning monitoring. With these dynamics in mind, the transformation of education in Indonesia is not only a response to challenges, but also an opportunity to create a more inclusive and technologically relevant education system. This research uses a descriptive qualitative approach using the literature study method. The results of this study discuss the challenges and opportunities of education in the era of artificial intelligence and strategies for implementing educational transformation. The results show that this educational transformation not only offers an opportunity to update the education system, but also to create a learning environment that is more inclusive and relevant to future needs. With the right implementation strategy, Indonesia can optimize the potential of artificial intelligence in improving the quality and accessibility of education across the country.
Analisis Bibliometrik Penelitian Tentang Merdeka Belajar di Indonesia Rentang Tahun 2014-2024 Rakuasa, Heinrich; Dzaka Ashriel Faris; Muh. Hidayatullah; Nathanya I Alicia
Journal Education Innovation (JEI) Vol. 2 No. 2 (2024): April 2024
Publisher : Yayasan Perguruan Kampus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65474/2zckmt71

Abstract

Penelitian ini menyajikan analisis bibliometrik terhadap penelitian-penelitian yang berfokus pada konsep merdeka belajar di Indonesia dalam rentang waktu 2014-2024. Melalui pengumpulan dan analisis data database Google Scholar penelitian ini mengidentifikasi tren perkembangan penelitian, tema-tema utama yang muncul, serta pola kolaborasi antarpeneliti. Penelitian ini menggunakan Aplikasi reference manager Publish or Perish digunakan untuk mengambil database Google Scholar dalam rangka pemenuhan data penelitian dan Aplikasi VOS viewer digunakan untuk memvisualisasikan dan mengevaluasi arah masa depan dalam penelitian. Hasilnya menunjukkan 474 artikel yang relevan. Hasil analisis menunjukkan adanya peningkatan jumlah publikasi seiring berjalannya waktu, dengan fokus utama pada aspek-aspek seperti otonomi sekolah, partisipasi siswa, inovasi pembelajaran, dan evaluasi kebijakan. Temuan ini memberikan pemahaman yang lebih mendalam tentang kontribusi penelitian terhadap konsep merdeka belajar serta arah perkembangan potensial untuk penelitian pendidikan masa depan di Indonesia.
Sistim Informasi Geografis Sebaran Objek Wisata Bahari di Kecamatan Salahutu, Pulau Ambon Berbasis Web Dengan Menggunakan ArcGIS StoryMaps Rakuasa, Heinrich; Somae, Glendy; Sihasale, Daniel Anthoni; Pakniany, Yamres; Septory, Juan Steiven Imanuel; Latue, Philia Christi
EL-JUGHRAFIYAH Vol 3, No 2 (2023): El-Jughrafiyah : August, 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jej.v3i2.25224

Abstract

Penelitian ini memperkenalkan penggunaan Sistem Informasi Geografis (SIG) dalam merancang platform web berbasis ArcGIS StoryMaps untuk memvisualisasikan dan mempromosikan objek wisata bahari di Kecamatan Salahutu, Pulau Ambon. Platform ini mengintegrasikan data geografis dengan elemen multimedia seperti gambar, video, dan teks naratif untuk menghasilkan pengalaman interaktif yang memadukan informasi tentang objek wisata, jalur perjalanan, serta budaya lokal. Melalui peta interaktif, pengunjung dapat menjelajahi lokasi objek wisata, mendapatkan informasi detail, dan memahami konteks lingkungan sekitarnya. Diharapkan platform ini akan memungkinkan promosi yang efektif terhadap keindahan dan daya tarik objek wisata bahari di Kecamatan Salahutu kepada berbagai jenis audiens, serta mendorong kesadaran akan pentingnya pelestarian lingkungan bahari.
Co-Authors Abdul Muin Adi Jufriansah Adifan, Muhammad Rayhan Ahmad Jaelani Ahmad Rifai Ahmat Rifai , Ahmat Rifai Alce Albartin Sapulette Amahoru , Abd H Amelia, Risky Nuri Amponsah, Anastasia Arda Fadhli Romadhon Ardin Suwandi, Mohamad ARINI, INE Aswan, Marwis Asweres A.F. Termas Budnikov, Viktor Vladimirov Budnikov, Viktor Vladimirovich C Latue, Philia Christi Latue, Philia Daniel Anthoni Sihasale Darisera, Stiadi Darisera, Stiadi Ivanto Diaz Astiza , Diaz Astiza Do Huy-Hoang Dzaka A Faris Dzaka Ashriel Faris Elvis Salouw Fadlan Turi Faris, Dzaka. A Gustavo, Geoffrey John Pascal Halawa, Feberman Halim Halim Halim, Halim Hehanussa, Fekry Salim Helwend, Joseba Kristina Hidayatullah, Muh Hidayatullah, Muh. Imanuel Septory, Juan Steiven Joshua, Benson Juan S. I. Septory Kamiludin, Kamiludin Kappy, Tresia M Karuna, Joan Ria Khromykh , Vadim V. Khromykh, Vadim Khromykh, Vadim V Khromykh, Vadim V. Khusnani , Azmi Kusratmoko, Supriatna, Eko Laitupa , Rizky Ahmad Langputeh, Sukree Latue , Philia Christi Latue, Philia Latue, Philia C Latue, Philia Christi Latue, Philia, Christi Latue, Theochrasia Latulanit , Abdul Kadir Letedara, Reindino Letedara, Reindino` Liwan, Sandy Lubis, Aufar Raynanda Luturmas, Jochbeth D. Maimina, Steiven Mehdil, Marhelin Chostansa Mehdila, Marhelin C Mohammad Amin Lasaiba Muh Hidayatullah Muh. Hidayatullah Muhammad Ikhsan Muskita, Marike Nasution, Rafly Aulya Rizky Nathanya I Alicia Nordin, Norazah Nurul Achmadi , Panji Pakniany, Yamres Pertuak, Anesia Clorita Philia Christi Latue Pinoa, W S Pitri, Mellia Laura Purnama , Aventus Purwantara, Suhandi Rafly Aulya Rizky Nasution Rahayaan , Muhamad F. M. Raihan Rabbani Rajani , La Mbeli Rajani, La Mbeli RAMDHANI RAMDHANI Reinhard Nolly Limba Ria Karuna, Joan Rifai , Ahmat Rifai, Ahmat Rinaldi, Muhamad Rohima Wahyu Ningrum, Rohima Wahyu Sarfan , Riri Septory, Juan Steiven Imanuel Sihasale, Daniel A Sihasale, Daniel Anthoni Sipiel, Roni Somae, Glendy Stewart Pertuack Sugandhi, Nadhi Sugandhi, Nandhi Supriatna, s Susan E. Manakane, Susan E. Suwandi, Mohamad Ardin Syahran Wael Tade , Ferdi Tambunan, Mangapul Parlindungan Tambunan, Rudy Parluhutan Tamrin Robo Tehupelasury, Syifa Toisuta , Meike Elsa Triani, Triani Turi, Fadlan Viktor Vladimirovich Budnikov Wahab, Wulan Abdul Wlary, Anelia P. Wulandari, Agustia Ayu Wutres, Sadrak L. Yamres Pakniany Yuni Andriyani Safitri