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All Journal Jurnal Perencanaan Wilayah dan Kota Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian 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 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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Spatial Modeling of Flood Prone Areas in Huamual Sub-district Seram Bagian Barat Regency Indonesia Rakuasa, Heinrich
Journal of Geographical Sciences and Education Vol 1 No 2 (2023): Journal of Geographical Sciences and Education
Publisher : PT. Pubsains Nur Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69606/geography.v1i2.70

Abstract

Modeling of flood-prone areas is needed to provide information as an initial step in future flood disaster mitigation efforts. This research aims to spatially analyze the level of flood vulnerability and affected settlements in the Hunimual Sub-district. The method used is Multi-Criteria Analysis (MCA) by weighting the value of each variable. The variables that influence flooding in this study consist of land elevation, slope, land cover, distance from the river, geology, and rainfall. The determination of weights and scores in this study is an expert judgment. The weighting results are then overlaid to obtain a flood vulnerability map. The results show that the level of flood vulnerability is dominated by the very low vulnerability level of 69.09%, low vulnerability of 22.50%, and high vulnerability of 8.41% of the total area of the research location. The area of settlements affected by flooding is 556.47 ha. The results of this study are expected to be used as a basis for future flood disaster mitigation efforts to minimize losses, both casualties and physical damage in Hunimual District
Analysis of Indonesia's Foreign Policy in the Face of Climate Change: A Review from an International Relations Perspective Rakuasa, Heinrich; Dzaka A Faris; Philia Christi Latue; Yamres Pakniany
Journal of International Multidisciplinary Research Vol. 2 No. 4 (2024): April 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/bx9g2j06

Abstract

This research analyzes Indonesia's role in addressing the challenges of climate change from a foreign policy perspective, highlighting the factors that influence policy formation, the diplomacy strategies implemented, as well as their impact at the global level. With a comprehensive review, this research aims to provide insights into how Indonesia interacts with the international community in an effort to address the global environmental crisis. Through an exploration of the internal and external factors that influence foreign policy on climate change, the article identifies the challenges faced as well as the opportunities that exist for Indonesia to play a more active role in shaping the global environmental agenda. By highlighting Indonesia's contributions to climate change mitigation and adaptation as well as its environmental diplomacy efforts, this article provides a better understanding of the complex dynamics between Indonesia's foreign policy and climate change issues in the context of international relations.
Identification of Flood Prone Areas in Sumatra Barat Province Using Remote Sensing Data and Geographic Information System Based on Machine Learning Rakuasa, Heinrich
Journal of International Multidisciplinary Research Vol. 2 No. 5 (2024): Mei 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/3rk53v16

Abstract

This research aims to identify flood-prone areas in West Sumatra Province using remote sensing data and Machine Learning-based Geographic Information System. By utilizing variables such as distance from the river, Normalized Difference Water Index (NDWI), elevation, Topographic Position Index (TPI), Normalized Difference Vegetation Index (NDVI), and Rainfall Data, this research was conducted on the Google Earth Engine platform. This analysis method supports resource optimization, public education, increased environmental safety, and the development of new technologies and research. The results of the research are expected to assist in mitigation and adaptation to future flood disasters, as well as provide more accurate and comprehensive insights for local governments, disaster management agencies, and communities. With this approach, it is expected to reduce flood risk and increase community resilience to natural disasters.
Analysis of Land Surface Temperature Changes in Sorong City, Indonesia Using Landsat 8 Satellite Image Data Based on Cloud Computing Rakuasa, Heinrich; Do Huy-Hoang; Rafly Aulya Rizky Nasution; Fadlan Turi; Muh Hidayatullah
Journal of International Multidisciplinary Research Vol. 2 No. 7 (2024): Juli 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr784

Abstract

This study aims to analyze land surface temperature changes in Sorong City, Indonesia using Landsat 8 satellite image data and Google Earth Engine cloud computing platform. With rapid urbanization, understanding the dynamics of surface temperature is important. Through satellite imagery and cloud computing technology, this analysis provides accurate monitoring of temperature change, supports climate change mitigation strategies, and designs more sustainable cities.
Ability of CA-Markov Model to Predict the Expansion of Growth Rate of Ambon City, Indonesia and Gaza Strip, Palestine Rakuasa, Heinrich; Stewart Pertuack; Philia Christi Latue
Journal of International Multidisciplinary Research Vol. 2 No. 9 (2024): September 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/0qexab84

Abstract

This study aims to explore the ability of Cellular Automata-Markov (CA-Markov) model in predicting the expansion of urban growth rate in Ambon, Indonesia, and Gaza Strip, Palestine. Using a literature study approach, this research collected and analyzed secondary data on land use change, population growth, and factors affecting urbanization in both regions. The results of the analysis show that the CA-Markov model has high accuracy in predicting land use change, and is able to describe the spatial dynamics of built-up land growth. This research emphasizes the importance of integrating environmental aspects in land use planning to achieve sustainable development. The findings are expected to provide useful recommendations for policy makers in managing urban growth, as well as enrich the literature on the application of the CA-Markov model in different contexts.
PREDIKSI PERUBAHAN TUTUPAN LAHAN DI KECAMATAN SIRIMAU, KOTA AMBON MENGGUNAKAN CELULAR AUTOMATA- MARKOV CHAIN Rakuasa, Heinrich; Helwend, Joseba Kristina; Halawa, Feberman; Mehdil, Marhelin Chostansa; Sihasale, Daniel Anthoni
Jurnal Swarnabhumi : Jurnal Geografi dan Pembelajaran Geografi Vol. 8 No. 2 (2023): Jurnal Swarnabhumi : Jurnal Geografi dan Pembelajaran Geografi
Publisher : Geography Education Study Program, Faculty of Teacher Training and Education

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

Abstract

Kecamatan Sirimau memiliki jumlah penduduk terbanyak di Kota Ambon yang berdampak pada kebutuhan terhadap lahan permukiman yang semakin tinggi meningkat, hal ini tentu akan mempengaruhi perubahan tutupan lahan yang tidak terkendali serta berdampak pada alih fungsi lahan dan kerusakan lingkungan. Penelitian ini bertujuan untuk untuk menganalisis perubahan tutupan lahan Kecamatan Sirimau pada tahun 2012, 2017 dan 2022, serta memprediksi tutupan lahan tahun 2031. Penelitian ini menggunakan metode Cellular Automata Markov Chains (CA-MC). Hasil penelitian menunjukan bahwa pada periode 2012-2031 luasan jenis tutupan lahan permukiman dan lahan terbuka terus bertambah seiring dengan bertambahnya jumlah penduduk dan tingginya kebutuhan akan lahan terbangun. Berbeda dengan tutupan lahan daerah pertanian dan bukan daerah pertanian yang mengalami penurunan luasan. Hasil penelitian diharapkan dapat dijadikan dasar dalam pengambilan kebijakan terkait penataan dan pemanfaatan ruang yang baik kedepannya
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; Christi Latue, Philia
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 2 (2024): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i2.635

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.
SPATIAL ANALYSIS OF LAND USE CHANGE IN SLAWI SUBDISTRICT, TEGAL REGENCY, 2014 - 2024 USING HIGH RESOLUTION SATELLITE IMAGERY DATA Rakuasa, Heinrich; Nurul Achmadi , Panji
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 2 (2024): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i2.645

Abstract

This research aims to analyze land use change in Slawi Sub-district, Tegal Regency, from 2014 to 2024 using high-resolution satellite image data. This study used Worldview-2 high resolution satellite image data in 2014 and Geoeye-1 in 2024. This study was classified into 14 land use classes consisting of rivers, roads, railways, agriculture, green open space, other vegetation, industry, housing, government, public service facilities, trade services, transportation, defense and security and open land. The spatial analysis method was used to map changes in land area based on the main use classes such as agriculture, housing, and infrastructure. The results showed a significant decrease in agricultural land area as well as an increase in residential land area and infrastructure, reflecting the changing pattern of regional growth and development. In conclusion, an in-depth understanding of land use dynamics in Slawi Sub-district is important to support environmental management policies, natural resource conservation, and sustainable regional development in the future.
URBAN LANDSCAPE TRANSFORMATION: LAND COVER CHANGE ANALYSIS IN SIRIMAU SUB-DISTRICT, AMBON CITY Rakuasa, Heinrich; Ria Karuna, Joan; Christi Latue, Philia
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 2 (2024): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i2.649

Abstract

This study aims to analyze the Pattern of Land Cover Change in Sirimau District, Ambon City, Indonesia. The introduction of the research discusses the importance of understanding the dynamic interaction between human activities and land resources in the context of spatially distributed land cover. The research method used was descriptive quantitative with a spatial approach, conducted in Sirimau Sub-district, Ambon City, which experienced high population growth and development of built-up areas. Satellite image data analysis was used to identify patterns of land cover change from 2014 to 2024. The results showed the dominance of agricultural land in 2014, with certain areas converted to residential and built-up land in 2019 and 2024. The findings provide valuable insights in understanding the dynamics of land cover change in Sirimau sub-district and its relevance in sustainable land resource management.
REVIEW OF THE USE OF DRONES AND NON-METRIC CAMERAS FOR THE PROVISION OF LARGE-SCALE GEOSPATIAL DATA ACCORDING TO BIG REGULATION NO. 1 OF 2020 Rakuasa, Heinrich
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 2 (2024): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i2.695

Abstract

Currently, the need for large-scale mapping for the entire territory of Indonesia is urgent. Therefore, accelerating the provision of large-scale Geospatial Data (DG) is essential for better spatial planning and regional development. The use of drone technology with non-metric cameras is starting to be used for the provision of large-scale DG. To regulate the use of drones and non-metric cameras, the Geospatial Information Agency issued the Head of Geospatial Information Agency Regulation No. 1 of 2020. The purpose of this paper will review the use of drones with non-metric cameras that have been regulated in the agency's regulations. The method used in this paper uses qualitative research with a data collection strategy or source using the literature method. The results show that the use of direct georeferencing in BIG Regulation No. 1 of 2020 has fulfilled the horizontal and vertical geometry accuracy requirements stipulated in BIG Head Regulation No. 6 of 2018 on Base Map Accuracy. The GSD value requirement in BIG Regulation No 1/2020 is too high compared to the GSD value requirement specified in the ASPRS Accuracy Standards for Digital Geospatial Data. This agency regulation is a standard / reference that must be met for all mapping industry players. Therefore, the implementation of this agency regulation requires further study to truly support the issue of accelerating large-scale mapping.
Co-Authors Abdul Muin Adi Jufriansah Adifan, Muhammad Rayhan Ahmad Jaelani Ahmad Rifai Ahmat Rifai , Ahmat Rifai Amahoru , Abd H Amelia, Risky Nuri Amponsah, Anastasia Arda Fadhli Romadhon Ardin Suwandi, Mohamad 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 Kamiludin, Kamiludin Kappy, Tresia M Karuna, Joan Ria Khromykh , Vadim V. 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 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 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 Tade , Ferdi Tambunan, Mangapul Parlindungan Tambunan, Rudy Parluhutan Tamrin Robo Tehupelasury, Syifa Triani, Triani Turi, Fadlan Viktor Vladimirovich Budnikov Wahab, Wulan Abdul Wulandari, Agustia Ayu Wutres, Sadrak L. Yamres Pakniany Yuni Andriyani Safitri