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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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Journal : Journal of Data Analytics, Information, and Computer Science (JDAICS)

 1 
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.
FUTURE POPULATION PREDICTION 2050 OF BANTEN PROVINCE, JAKARTA, JAWA BARAT, JAWA TENGAH, DAERAH ISTIMEWA YOGJAKARTA, JAWA TIMUR, USING WORLDPOP DATA WITH GOOGLE EARTH ENGINE Rakuasa, Heinrich; Lasaiba, Mohammad Amin
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.v1i2.712

Abstract

This study uses WorldPop data and the Earth Engine platform to predict population in Banten, Jakarta, West Java, Central Java, Special Region of Yogyakarta and East Java Provinces. Through high-resolution grid-based analysis, the study identifies patterns of population growth that are not visible with traditional, more aggregated data. Prediction results show significant population increases from 2020 to 2023, with Jakarta and West Java experiencing the most notable growth. Predictions for 2050 show significant population increases in all provinces, with Jakarta and West Java being the provinces with the highest populations. The implications of these population dynamics for infrastructure planning and public policy are critical to anticipate rapid population growth. This information can be used for more effective resource allocation, targeted infrastructure planning, and improved public welfare. Thus, this research is expected to make a significant contribution to regional planning and sustainable development, as well as in facing future demographic challenges.
APPLICATION OF REMOTE SENSING DATA AND GEOGRAPHIC INFORMATION SYSTEM FOR FLOOD MODELING IN WAI RUHU WATERSHED AMBON CITY BASED ON GEOGLE EARTH ENGINE 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.v1i2.739

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.
IDENTIFICATION OF POTENTIAL LANDSLIDE AREAS IN NUSANIWE SUB-DISTRICT USING SLOPE MORPHOLOGY METHOD Latue, Philia Christi; Rakuasa, Heinrich
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 3 (2024): Juli
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i3.750

Abstract

This study aims to identify landslide-prone areas in Nusaniwe District using the Slope Morphology Method (SMORPH), which is based on slope and slope shape analysis. The research method uses the Slope Morphology Method (SMORPH) to assess landslide potential in Nusaniwe District. The analysis was carried out by mapping the slope gradient and slope shape in the area to determine areas at high risk of landslides. Topographic and geological data were collected and analyzed to identify factors that contribute to landslide risk. The results of the analysis show that  complex geological and topographic conditions in Nusaniwe District increase the risk of landslides. Areas with high slope gradients and steep slope shapes are identified as the most landslide-prone areas. This assessment revealed a significant relationship between slope gradient, slope shape, and landslide potential in the area. The conclusion is that the analysis of slope and slope shape using the Slope Morphology Method (SMORPH) is effective in identifying landslide-prone areas in Nusaniwe District. To reduce landslide risk, interdisciplinary collaboration, community education, and development of effective mitigation strategies are needed. These findings provide a basis for planning and implementing landslide prevention measures in areas with similar conditions. Keywords: Landslide, Nusaniwe, Slope Morphology
SPATIAL TEMPORAL ANALYSIS OF LAND SURFACE TEMPERATURE CHANGES IN AMBON ISLAND FROM LANDSAT 8 IMAGE DATA USING GEOGLE EARTH ENGINE Latue, Philia Christi; Rakuasa, Heinrich
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 3 (2024): Juli
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i3.751

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. Keywords: Ambon Island, Geogle Earth Engine, Land Surface Temperature
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