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An Integrated Approach to Land Condition Mapping:Combining Terrestrial Surveys, Photogrammetry, and GIS for Data Center Development in Nongsa Special Economic Zone Irawan, Sudra; Anggoro, Prastiwo; Pratama, Rizki Widi; Rassarandi, Farouki Dinda; Nainggolan, Marsanda; Basri, Muhammad Adi Hasan; M. Rajab Al Hakim; Sembiring, Fridheani Reshana; Simanjuntak, Pernando; Artini, Tia; Aji, Satriya Bayu
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.21462

Abstract

Accurate and comprehensive land condition mapping is crucial for infrastructure development planning, particularly for data center construction in Nongsa Special Economic Zone (SEZ). This research integrates terrestrial survey, photogrammetry, and geographic information system (GIS) data to produce optimal land condition maps. The methodology involves field data collection through terrestrial measurements, aerial photography using photogrammetry, and data processing/analysis using GIS tools. This integrated approach enables the creation of comprehensive land condition maps, incorporating topography, land use, and other supporting parameters. The results demonstrate improved mapping accuracy and detailed spatial information, supporting informed location decisions. Eleven thematic maps were created, including topography, longitudinal and transverse profiles, composite volume, DSM/DTM contours, land cover, soil type, slope, water density, and flood hazard maps. Flood hazard analysis reveals that Nongsa has low (1.13 km²), moderate (61.16 km²), high (34.32 km²), and very high (0.0078 km²) flood risk areas. The majority of Nongsa (61.16 km²) falls within the moderate flood risk category. This research identifies that a significant portion of Nongsa, specifically 61.16 km², is categorized as having a moderate flood risk, highlighting the need for targeted infrastructure planning and risk mitigation strategies in the development of data centers within the SEZ. The results of this study also provide important insights into the impact of land use changes on the local ecosystem, making them valuable for planning more environmentally friendly and sustainable development.
A GIS-based spatio-temporal database approach to land suitability classification for papaya (Carica papaya L.) cultivation Irawan, Sudra; Sismanto, Sismanto; Sari, Diyan Rahma; Aji, Satriya Bayu
Journal of Degraded and Mining Lands Management Vol. 13 No. 2 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.132.9817

Abstract

Papaya (Carica papaya L.) is a high-value horticultural crop that can be cultivated year-round and helps improve farmers’ incomes. However, successful papaya cultivation depends heavily on environmental conditions, making land suitability assessment a critical step for sustainable development. This study examined the limiting factors influencing the suitability of agricultural land for papaya cultivation on Galang Island using a Geographic Information System (GIS) approach. The study used matching and scoring methods to evaluate land characteristics against papaya growth requirements. The assessment was conducted for each land unit to identify actual and potential land suitability classes based on key environmental parameters. The findings show that land suitability on Galang Island is divided into two categories: actual and potential. Under current conditions, land units 1, 2, and 3 fall into the S3 (marginally suitable) class, with water availability (wa) identified as the primary limiting factor, resulting in an S3wa classification. Improvement measures were proposed to enhance land suitability by increasing the suitability class by one level. The implementation of irrigation systems, improved soil management, and appropriate fertilization is expected to upgrade land units 1, 2, and 3 to the S2 (moderately suitable) class. After improvement, land suitability is classified as S2wa, tc, with water availability and temperature remaining as limiting factors. Some parameters cannot be improved due to inherent natural conditions. Overall, Galang Island demonstrates significant potential for sustainable papaya cultivation.
Co-Authors Afdhol Dzikri Agung Riyadi Agus Fatulloh Ahad Oktalijar Malau Andi Andy Triwinarko Anggoro, Prastiwo Anindea Pramilaning Tyas Anis Rahmi Ari Wibowo Arif Roziqin Arif Roziqin Arif Roziqin Arif Roziqin Arif Roziqin Arif Roziqin, Arif Artini, Tia Basri, Muhammad Adi Hasan Bintang Budhiman Cecep Maulana Hidayat Citra Swari Henora condra antoni Destriani Kaban Dhamas Noprian Dicki Prayogi Dodi Prima Resda Dwi Anjen Setia Wulandari Dwi Ely Kurniawan Dwiki Novri Ditya Evaliata Br Sembiring Fadiella Azhaara Ramadhanti Fadli Suandi Fajar Muliana Fajar Putra Farouki Dinda Rassarandi Farouki Dinda Rassarandi Fitriania, Tita Ghazali, Muhammad Gregorius Harry Saktian Sinaga Gusti Hermawansyah Putra Haadi, Maulana Rafly Al Haiqal, Muhammad Hanah Khoirunnisa Jaheskiel Sirait Lubis, Alwi Raihan Luthfiya Ratna Sari Luthfiya Ratnasari M. Rajab Al Hakim Melia Wandanita Metta Santiputri Mir'atul Khusna Mufida Mir’atul Khusna Mufida Muhammad Adha Muhammad Nashrullah Muhammad Zainuddin Lubis Muslimin Muslimin Nainggolan, Marsanda Nanik Lestari Natali, Suci Dayanti Nazara, Kasih Riang Bohouni Neta, Fandy Nova, Dithia Mardi Nur Cahyono Kushardianto Nur Zahrati Janah Okatvianto Gustin Oktavianto Gustin Pratama, Rizki Widi Rafly Aditia Raptama, Mulia Rassarandi, Farouki Dinda Riki Riki Rivki Ryan Nugraha Riza Fahmi Riza Fahmi Rizki Irianto Rizki Widi Pratama Rizki Widi Pratama Rizwan Bin Khamis Rokhayati, Yeni Sandi Prasetyaningsih Sari, Diyan Rahma Sari, Luthfiya Ratna Satriya Bayu Aji Satriya Bayu Aji Satriya Bayu Aji Satriya Bayu Aji, Satriya Bayu Sebayang, Amira Leoni Br Selly Artaty Zega Sembiring, Fridheani Reshana Siahaan, Arta Uly Silvia, Ega Simanjuntak, Pernando Sismanto Sismanto Sismanto Siti Noor Chayati Sormin, Naomi Septania Supardianto Supardianto Swono Sibagariang Uuf Brajawidagda Vera Astutik Vina Dwiyanti Wandanita, Melia Wenang Anurogo Zahra, Mulyani Aprilia