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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) 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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The Physical Spatial Development of Tiakur City, Moa Island, Maluku Province, Indonesia Rakuasa, Heinrich; Reinhard Nolly Limba; Stewart Pertuack; Arda Fadhli Romadhon; Raihan Rabbani
Journal of International Multidisciplinary Research Vol. 3 No. 2 (2025): Februari 2025
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr1175

Abstract

Tiakur City, the capital of Southwest Maluku Regency, has undergone significant physical development between 2015 and 2025, driven by population growth and economic activities. This study employs a quantitative approach using remote sensing technology with PlanetScope satellite imagery to analyze land cover changes. The analysis reveals an increase in built-up land area from 171.29 hectares (7.31%) in 2015 to 395.66 hectares (16.89%) in 2025, while non-built-up land experienced a decline. These findings indicate a rapid development rate and highlight the importance of sustainable spatial planning. In conclusion, understanding the patterns and intensity of land cover changes in Tiakur City is crucial for evaluating spatial planning policies and improving infrastructure development planning for the future.
Spatial Evaluation of Ambon City Spatial Plan from Flood Vulnerability Aspect Rakuasa, Heinrich; Philia Christi Latue
Jurnal Perencanaan Wilayah dan Kota Vol. 20 No. 2 (2025)
Publisher : Program Studi Perencanaan Wilayah dan Kota, UPT Publikasi Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jpwk.v20i2.2014

Abstract

Flooding is among the most common hydrometeorological disasters in Indonesia, including in Ambon City. This research aims to evaluate Ambon City’s 2011–2031 Spatial Plan with a focus on flood vulnerability. Using the Multi-Criteria Analysis (MCA) method, six parameters influencing flooding were analyzed: landform, elevation, land use, river buffer, soil type, and rainfall. The results indicate that the flood hazard classes in Ambon City are predominantly low (22,461.27 ha), followed by medium (9,872.83 ha) and high (1,833.07 ha) hazard areas. Notably, 50.08% (2,222.06 ha) of settlements are predicted to be affected by high flood hazard, 49.91% (2,214.67 ha) by medium hazard, and 0.01% (0.39 ha) by low hazard. Among spatial patterns, medium-density residential areas represent the largest portion of flood-affected zones, covering 532.78 ha in the high hazard class and 1,899.45 ha in the medium hazard class. In the low hazard class, buffer zones (5,127.05 ha) and agricultural areas (4,074.65 ha) are most affected. Based on these findings, recommendations include strengthening drainage infrastructure, enforcing strict zoning for new developments, and enhancing community participation in spatial planning, with the goal of increasing regional resilience to flood disasters and promoting environmental sustainability
Spatial Analysis of Vegetation Index in Ambon City Center Area, Indonesia using Sentinel-2 Satellite Imagery in Google Earth Engine Rifai , Ahmat; Halim; Rakuasa, Heinrich; Tade , Ferdi; Purnama , Aventus; Jufriansah , Adi; Khusnani , Azmi
Frontiers in Sustainable Science and Technology Vol. 2 No. 1 (2025): June
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/fsst.v2i1.365

Abstract

This study analyzed the impact of urbanization on vegetation cover in Ambon City using Google Earth Engine (GEE) technology and the NDVI index. The methods used include Sentinel-2 image data processing and field validation at 40 sample points conducted in Google Earth Engine. The analysis revealed that the Non-vegetation area has a percentage area of 29.25%, Sparse vegetation area of 19.89%, Medium Vegetation area of 21.80% and Dense Vegetation area of 29.06% of the total area of Ambon City center. The results of this study emphasize the urgent need for conservation policies and utilization of monitoring technology in the planning of sustainable green open space in Ambon City Center.
Detection of Land Cover Change in Nickel Mining Areas, in Weda Tengah Sub-district, Halmahera Island, Indonesia using Planet-Scope Satellite Images Rakuasa, Heinrich; Ahmat Rifai , Ahmat Rifai; Latulanit , Abdul Kadir; Amahoru , Abd H; Laitupa , Rizky Ahmad; Diaz Astiza , Diaz Astiza; Rajani , La Mbeli
Frontiers in Sustainable Science and Technology Vol. 2 No. 1 (2025): June
Publisher : CV. Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/fsst.v2i1.379

Abstract

Land cover change is a global phenomenon triggered by human activities, including mining, which has significant impacts on the environment and ecosystems. In Indonesia, particularly on Halmahera Island, nickel mining has become one of the main economic sectors, but this activity often results in serious environmental degradation. The data used in this study is PlanetScope satellite image data for 2016, 2020 and 2024 which has a 3-meter spatial resolution. The image data was then interpreted and digitized to obtain land cover classes consisting of settlements, farming areas, vegetation and water bodies. The validation results of land cover in 2016, 2020, and 2024 obtained accuracy values of 92%, 90%, and 95%, respectively. In 2016, settlements had an area of 222.79 ha, mining area of 364.98 ha, vegetation of 52,938.88 ha, water body of 212.88 ha. In 2020, settlements were 343.92 ha, mining areas were 1,329.18 ha, vegetation was 51,853.55 ha, water bodies were 212.88 ha. In 2024, settlements are 563.92 ha, mining area is 4,498.32 ha, vegetation is 48,464.41 ha and water bodies are 212.88 ha. The mining area certainly continues to increase in area every year.
Utilization of GIS Technology for Mapping Flood-prone Areas in Ambon Island, Indonesia Rakuasa, Heinrich; Viktor Vladimirovich Budnikov
Indonesian Journal of Fundamental and Applied Geography Vol. 2 No. 1 (2024)
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/ijfag.v2i1.20249

Abstract

Flooding is one of the most common natural disasters in Indonesia, including on Ambon Island, which can cause significant economic and social losses. This research aims to map flood-prone areas on Ambon Island using Geographic Information System (GIS) technology to map flood hazards and affected residential areas. This research uses variables of elevation, slope, rainfall, land cover, distance from rivers, and soil type. The weighted overlay method was used to produce maps of flood hazards and affected areas. The results showed that the low class flood had an area of 58,114.44 ha, the medium class had an area of 14,066.44 ha, and the high class had an area of 4,733.31 ha, while the built-up land area affected by flooding in the low class had an area of 907.92 ha, the medium class had an area of 3,445.92 ha, and the high class had an area of 1,681.40. The results of this study are expected to make a meaningful contribution to disaster risk management policies on Ambon Island and other areas with similar characteristics.
Modeling Flood Hazards in Ambon City Watersheds: Case Studies of Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah and Wai Ruhu Rakuasa, Heinrich; Latue, Philia Christi
Journal of Engineering and Science Application Vol. 1 No. 2 (2024): October
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i2.6

Abstract

Flood hazard modeling in watersheds is an important step in natural disaster risk mitigation, especially in vulnerable areas such as Ambon City. This research focused on the Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah, and Wai Ruhu watersheds, using JRC Global Surface Water Mapping Layers data, NASA SRTM Digital Elevation 30 m data, and USGS Landsat 8 Level 2, Collection 2, Tier 1 data analyzed on the Google Earth Engine (GEE) platform. Prediction of built-up land in flood-prone areas was conducted by utilizing flood history analysis, hydrological modeling, and flood zone mapping. The results show that flood hazard modeling provides a better understanding of flood risk, assists in the development of safer land use planning, and increases public awareness of flood risk in Ambon City. It is hoped that the results of this research can contribute to flood risk management and sustainable regional development in the future.
Integrating Geospatial Technology in Learning: An Innovation to Improve Understanding of Geography Concepts 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.v1i2.70

Abstract

This research discusses the integration of geospatial technology in geography learning as an innovation to improve students' understanding of geography concepts. This research uses literature study method to investigate the importance of geospatial technology integration in geography learning with the aim of improving students' understanding of geography concepts. The results show improvements in visualization of abstract concepts, introduction of global and local concepts, development of analytical skills, and more active student interaction. Constraints such as facility availability and teacher training were also recognized. The integration of geospatial technology opens up opportunities for more engaging and effective contextualized learning in the digital era.
Integration of Artificial Intelligence in Geography Learning: Challenges and Opportunities 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.v1i2.71

Abstract

This research discusses the potential and challenges of integrating Artificial Intelligence (AI) in geography learning. By considering the fundamentals of AI and the role of geography in the era of globalization, this research outlines the benefits of AI in geography learning through interactive visualization and personalization of learning. However, challenges such as equitable access to technology and teacher training are major concerns in the application of AI. The research uses descriptive method with literature review which involves collecting, analyzing, and explaining the information in the literature relevant to the integration of artificial intelligence (AI) in Geography learning. In addition, this study highlights the opportunities of AI in geographic data analysis and addressing global challenges such as climate change. The profound implications of AI integration in geography learning are also discussed, given its impact on education and society. This research provides a holistic picture of the intersection of AI and geography, encouraging a better understanding of its potential and limitations. It is hoped that this research will provide guidance for educational practitioners and researchers to optimize the potential of AI in geography teaching, taking into account the challenges to be overcome and the opportunities to be exploited.
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.
Co-Authors Abdul Muin Adi Jufriansah Adifan, Muhamad Rayhan Adifan, Muhammad Rayhan Ahmad Jaelani Ahmat Rifai , Ahmat Rifai Amahoru , Abd H Amelia, Risky Nuri Amponsah, Anastasia Arda Fadhli Romadhon Ardin Suwandi, Mohamad ARINI, INE Aswan, Marwis 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 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 Triani, Triani Turi, Fadlan Viktor Vladimirovich Budnikov Wahab, Wulan Abdul Wlary, Anelia P. Wulandari, Agustia Ayu Wutres, Sadrak L. Yamres Pakniany Yuni Andriyani Safitri