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Study of Development Planning and Spatial Policy of Mapanget Sub-district, Manado as a New City Center: A Review Manakane, Susan E; Latue, Philia Christi; Rakuasa, Heinrich
Nusantara Journal of Behavioral and Social Science Vol. 2 No. 3 (2023)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/202336

Abstract

The policy in dividing the KBI and KTI regions is intended to avoid development imbalances that occur in Indonesia. Development in Eastern Indonesia is considered disproportionate and only focused on the Western Region. But now the priority of regional development will be focused on Eastern Indonesia. As a large city in North Sulawesi that is included in Eastern Indonesia, Manado has a strategic location as an investment gateway to economic growth in Eastern Indonesia, this is the background for the development plan of Mapanget sub-district which is included in the Manado City area to become a new city center. This research aims to assess the feasibility of the Mapanget area as the object of this strategic project. The method used was a literature study in combination with the availability of secondary data obtained from research, records and provisions related to the analysis of new city development. Based on the results of the various elements of new city development such as residential areas, health and education facilities, trade, services and industry, and population accessibility have experienced large growth in the period (2007-2019) or in the last twelve years. In terms of development planning, there are also complete guidelines that are based on an in-depth study of various aspects, so it can be concluded that Mapanget Sub-district is strategic enough for the development of a New City in Eastern Indonesia. Abstrak: Kebijakan dalam pembagian wilayah KBI dan KTI dimaksudkan untuk menghindari ketimpangan pembangunan yang terjadi di Indonesia. Pembangunan di Kawasan Timur Indonesia dirasa kurang proporsional dan hanya terfokus di Kawasan Barat saja. Namun saat ini prioritas pengembangan wilayah akan difokuskan ke Timur Indonesia. Sebagai Kota besar di Sulawesi Utara yang temasuk Kawasan Timur Indonesia, Manado memiliki lokasi yang strategis sebagai gerbang investasi terhadap pertumbuhan ekonomi di Timur Indonesia, Hal ini melatarbelakangi rencana pembangunan kecamatan Mapanget yang termasuk wilayah Kota Manado menjadi pusat Kota baru. Dilakukan penelitian yang bertujuan mengkaji kelayakan wilayah Mapanget sebagai objek dari proyek strategis ini. Metode yang dilakukan dengan studi literatur dan kombinasi dengan ketersediaan data sekunder yang diperoleh dari penelitian, pencatatan dan ketetapan yang berhubungan dengan analisa pembangunan kota baru. Berdasarkan hasil dari berbagai unsur pembangunan kota baru seperti wilayah hunian, sarana kesehatan dan pendidikan, perdagangan, bidang jasa dan industri, serta aksesibilitas penduduk telah mengalami pertumbuhan yang besar dalam periode (2007-2019) atau dalam dua belas tahun terakhir. Dari segi perencanaan pembangunan juga tersedia kelengkapan pedoman yang berdasarkan kajian mendalam terhadap beragam aspek, maka dapat disimpulkan bahwa Kecamatan Mapanget cukup strategis untuk pembangunan Kota Baru di Kawasan Timur Indonesia.
Spatial Analysis of the Impact of Nickel Mining on Vegetation Cover Change in Obi Island, Indonesia Rakuasa, Heinrich; Khromykh, Vadim V; Rifai, Ahmad; Latue, Philia Christi
BIOPENDIX: Jurnal Biologi, Pendidikan dan Terapan Vol 12 No 2 (2025): Biopendix: Jurnal Biologi, Pendidikan & Terapan
Publisher : Program Studi Pendidikan Biologi FKIP Unpatti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biopendixvol12issue2page77-85

Abstract

The nickel mining activities in Indonesia, particularly on Obi Island, have significantly altered land-use patterns, marked by an expansion of bare land due to topsoil and vegetation removal. This has led to a drastic decline in dense and productive vegetation cover, which previously served as a carbon sink and habitat for local biodiversity. Utilizing Landsat 8 Surface Reflectance Collection 2 Tier 1 imagery (2015, 2020, 2025), this study employed the Normalized Difference Vegetation Index (NDVI) within the Google Earth Engine and ArcGIS Pro platforms to assess spatiotemporal changes in vegetation cover. Results indicate a substantial increase in non-vegetated areas and a significant reduction in moderate-to-high-density vegetation, particularly within the mining core zone, directly attributable to nickel extraction activities, which drive habitat fragmentation and ecosystem degradation. Although rehabilitation and revegetation efforts demonstrate localized success, ongoing mining pressures pose risks of further environmental damage without sustainable management. This study underscores the critical need for stringent environmental regulations and targets ecological restoration to mitigate mining impacts and ensure the long-term sustainability of Obi Island's ecosystems
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.
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