Kendari City has multiple disasters hazard, especially floods and landslides. Consequently, the city requires systematic preventive efforts to minimize the potential disaster risk. This study aims to create a spatial model to determine the resilience of the land against floods and landslides with an ecosystem services approach. We used Sentinel-2 and DEMNAS (National Digital Elevation Model of Indonesia) as our primary data collection tools. Sentinel-2 was used to compile land use maps, and DEMNAS was the basis for compiling landform maps. The integration of the two was carried out by the analytic hierarchy process (AHP). The results showed that 8,259.98 acres (30.01 percent) of land in Kendari had low resilience to disasters. Those areas are located in a residential area on the TWH (Rocky hill over mixed sedimentary rocks) and KHY (Coalescent estuarine/riverine plain) landforms. The dominant disaster hazard in the area is inundation flooding that occurs almost every year in Kendari. Poor soil infiltration capacity is one factor affecting the area become vulnerable to flooding.
Abstrak: Pariwisata adalah segala hal yang berhubungan dengan perjalanan untuk rekreasi, pelancongan, dan hiburan yang dilakukan dengan sukarela dan bersifat sementara serta didukung oleh berbagai fasilitas dan layanan yang disediakan oleh masyarakat, pengusaha, dan pemerintah daerah. Penelitian ini bertujuan untuk: (1) mengetahui kondisi lingkungan kegiatan pariwisata di Kecamatan Nambo; (2) mengetahui daya dukung lingkungan pariwisata Di Kecamatan Nambo. Metode dalam penelitian ini adalah metode penelitian kuantitatif. Metode penelitian kuantitatif digunakan untuk menjawab tujuan penelitian yaitu mengetahui kondisi lingkungan kegiatan pariwisata dan menganalisis daya dukung lingkungan pariwisata pantai di Kecamatan Nambo. Hasil penelitian menunjukkan bahwa: (1) Pantai Nambo merupakan Pantai yang terdiri dari pasir putih dengan topografi yang tidak curam,memiliki suasana yang tenang, udara yang dingin dan pemandangan yang indah. Pantai Nambo sendiri telah menyediakan fasilitas seperti tempat parkir, gazebo, tempat bilas mandi dan tempat sampah. Namun masih terdapat pengunjung yang membuang sampah sembarangan sehinggah mengotori lingkungan Pantai Nambo; (2) Berdasarkan perhitungan daya dukung lingkungan objek wisata Pantai Nambo, maka diperoleh nilai daya dukung fisik (PCC) atau jumlah maksimum wisatawan yang dapat diterima di area wisata dengan luas 10,3 ha sebesar 3.961 wisatawan/hari dengan nilai kapasitas manajemen (MC) sebesar 0,54 dan nilai daya dukung efektif (ECC) sebesar 2.138 wisatawan/hari dengan mempertimbangkan nilai PCC dan MC.Kata kunci: Analisis, Daya Dukung, Kawasan Wisata PantaiAbstract: Tourism is all things related to travel for recreation,travel, and entertainment which is carried out on a voluntary basis and is temporary andsupported by various facilities and services provided by the community,entrepreneurs, and local governments. This study aims to: (1) determine the conditionsthe environment of tourism activities in Nambo District, (2) know the carrying capacitytourism environment in Nambo district. The method in this research is quantitative research methods.Quantitative research method is used to answer objectivesresearch, namely knowing environmental conditions of tourism activities and analyzing carrying capacity of the coastal tourism environment in Nambo District.The results showed that: (1) Nambo Beach is a beach consisting of white sand with a topography that is not steep, has a calm atmosphere, cold air and beautiful scenery. Nambo Beach itself has provided facilities such as parking, gazebo, shower and trash cans. But there are still visitors who throw garbage carelessly so that they pollute the neighborhood of Nambo;(2) Based on the calculation of the environmental carrying capacity of the Nambo Beach tourist attraction,then obtained the value of the physical carrying capacity (PCC), the maximum number of touristswhich can be accepted in the tourist area with an area of 10.3 acre for 3,961 tourists/daywith a value of management capacity (MC) of 0.54 and an effective carrying capacity (ECC) of 2,138 tourists/day by considering the value of PCC and MC.Keywords: Analysis, Carrying Capacity, Beach Tourism Area
The need for images with high spatial and temporal resolution is needed in various fields. To fulfill this, an effective and efficient method or mapping technique is needed but does not neglect the aspect of accuracy. One of them is by utilizing non-metric camera photogrammetry technology from shooting results using an unmanned aerial vehicle (UAV). The purpose of this study was to analyze the geometric accuracy of orthophoto imagery recorded using UAV at locations with relatively flat topography for large-scale mapping based on the Regulation of the Head of the Geospatial Information Agency (BIG) Number 6 of 2018. This study used field measurement survey methods and interpretation of orthophoto imagery to obtain the coordinate and elevation values, then an analysis of geometric accuracy was carried out using the accuracy test form in SNI 8202 of 2015. The results obtained were that the horizontal accuracy (CE90) was 1 m and the vertical accuracy (LE90) was 0.97 m. Based on the provisions in Perka BIG number 6 of 2018, the horizontal accuracy at the research location meets the accuracy requirements for base map scale 1: 2,500 class 2 and scale 1: 2,500 class 3 for vertical accuracy. Keywords: Geometry Accuracy, Unmanned Aerial vehicle (UAV), Orthophoto Kebutuhan citra dengan resolusi spasial dan temporal yang tinggi sangat diperlukan dalam berbagai bidang. Untuk memenuhi hal tersebut dibutuhkan suatu cara atau teknik pemetaan yang efektif dan efisien namun tidak mengabaikan aspek ketelitiannya. Salah satunya dengan memanfaatkan teknologi fotogrametri kamera non metrik hasil pemotretan menggunakan unmanned aerial vehicle (UAV). Tujuan penelitian ini adalah untuk menganalisis ketelitian geometri citra ortofoto hasil perekaman menggunakan UAV pada lokasi dengan topografi relatif datar untuk pemetaan skala besar berdasarkan Peraturan Kepala Badan Informasi Geospasial (BIG) Nomor 6 Tahun 2018. Penelitian ini menggunakan metode survei pengukuran lapangan dan interpretasi pada citra ortofoto untuk memperoleh nilai koordinat dan elevasi, selanjutnya dilakukan analisis ketelitian geometri menggunakan form uji ketelitian dalam SNI 8202 tahun 2015. Hasil penelitian diperoleh nilai ketelitian horizontal (CE90) sebesar 1 m dan ketelitian vertikal (LE90) sebesar 0,97 m. Berdasarkan ketentuan dalam Perka BIG nomor 6 tahun 2018, ketelitian horizontal pada lokasi penelitian memenuhi syarat ketelitian peta dasar skala 1:2.500 kelas 2 dan skala 1:2.500 kelas 3 untuk ketelitian vertikal. Kata Kunci: Ketelitian Geometri, Unmanned Aerial Vehicle (UAV), Ortofoto
Improving the management of coastal areas and small islands needs to have the support of the State of Indonesia as the world's maritime axis area because it has abundant fisheries and marine wealth. The study was conducted in Muna Regency in April-June 2021 with the determination of the location of purposive sampling in the archipelago. Research uses qualitative and quantitative approaches with data collection methods including observations, interviews and document studies using SWOT analysis. The results of the study showed the Muna Regency government in improving the management of coastal areas and small islands provides convenience and support both namely financial access, coaching, counseling and assistance for fishing communities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.