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Reni Reni, Reni
Mahasiswa Jurusan Teknik Mesin, Fakultas Teknik, Universitas Diponegoro
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Journal : Civil Engineering Scientific Journal

 1 
STUDI DAERAH RAWAN LONGSOR PADA KAWASAN PEMUKIMAN KAMPUNG BUGIS KOTA TARAKAN DENGAN PENERAPAN METODE FOTOGRAMETRI Utomo, Edy; Syarif, Iif Ahmad; Barocah, Alfika Henny; Reni, Reni; Sadam, Muhammad Saipul
Civil Engineering Scientific Journal Vol 2, No 1 (2023): Civil Engineering Scientific Journal
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/cesj.v2i1.3392

Abstract

ABSTRACT: Landslides are events due to changes in land use in the steep slope classification. The slope of the land can be identified by extracting elevation data from the earth’s surface. One way of measurement is to apply the photogrammetric method. In this research, a study was conducted on landslide-prone areas in the residential area of the Kampung Bugis Tarakan City, with a base map that was the results of processing UAV aerial photographs. The results of the study state that the photogrammetric method of aerial photographs of UAVs is able to provide an accuracy rate of 98%, and is able to provide an overview of landslide prone maps with a precision of 90%. Applying this method, the researchers found that the study area is at high risk of landslides, with a potential vulnerability level of 43,61% high and 36,33% very high, which were spread over hillside areas in an area of 72,70 hectare. Keywords: Elevation, Photogrammetric, Landslide, Tarakan, UAV.ABSTRAK: Tanah longsor merupakan kejadian akibat perubahan guna lahan pada klasifikasi kelerengan yang curam. Kelerengan lahan dapat diidentifikasi dengan ekstraksi data elevasi dari permukaan bumi. Salah satu cara pengukurannya adalah dengan menerapkan metode fotogrametri. Pada penelitian ini dilakukan studi daerah rawan longsor di wilayah pemukiman kampung bugis Kota Tarakan dengan peta dasar merupakan hasil dari pengolahan foto udara UAV. Hasil studi menyatakan bahwa metode fotogrametri dari foto udara UAV mampu memberikan tingkat akurasi 98%, dan mampu memberikan gambaran peta rawan longsor dengan ketelitian 90%. Dari penerapan metode ini, dinyatakan bahwa lokasi penelitian merupakan daerah rawan longsor dengan potensi tingkat kerawanan 43,61% tinggi dan 36,33% sangat tinggi, yang tersebar pada daerah lereng perbukitan pada luas lokasi penelitian sebesar 72,70 hektar.Kata kunci: Elevasi, Fotogrametri, Longsor, Tarakan, UAV.
Co-Authors Achmad Widodo Afiandi, Ravi Afrizal Sano Agung Ramadhan, Agung Ramadhan Ahmad Muktamar B Aisyah Aisyah Akhmad Dahlan Amri Anas Alhifni Aryani, Naurah Salsabilah Assidiq, Assidiq Astrid Novita, Astrid Azzahrah, Safira Barocah, Alfika Henny Citra, Alya Rahma Deti Kurniati Devi, Helena Dwi Kurniawati, Dwi Edlin, Zahara Edy Utomo, Edy Farid Iskandar GP, Lazuardi Gurruh Dwi Septano Halim, Nur Handayani, Fatiah Hastuti Retno Kuspiyah, Hastuti Retno Hendri Marhadi Heru Setiawan Idrus Salam Immanuela, Intan In in Indriani, In in Indriani Indo Santalia Iriantara, Yosal Ismoyo Haryanto Junaedi, Abdus Salam Kandias, Rhakean Khamila, Khamila Lestari, Arini Shulkha Liaufaldi, Nurjafa Listi, Listi Lutfi, Muhtar Mahmud Alpusari MAULANA, ZAFRI Mohamad Rahmatuloh, Mohamad Rahmatuloh Mualimah, Eka Nurul Muhammad Ihsan Muhammad Ikhsan Muhammad Rakib Muin, Rahmawati Musdalifa Musdalifa N. Nurjanah Nafiz Annas Neni Hermita Nia Kurniati Nurmala, Anita Nursyamsi Nursyamsi Oktavia, Beby Padapi, Astrini Peribadi, Peribadi Pratama Zurmauliriansyah, Rifzki Purbandari, Theresia Rahayu, Septirina Renaldi Reza Maulana Rezty Arizta Putri Rifqa Gusmida Syahrun Barokah Rina Agustina Rindu, Rindu Rise Meilani, Rise Meilani Riyanto Riyanto Sadam, Muhammad Saipul Salman, Faris Sancka Stella G. Sihura Septiani, Sella Septirina, Septirina siti rodiah Solihatulmilah, Elih Sri Suryanti Suhartini, Shanti Syam, Agus Syarif, Iif Ahmad Tahir, Sumiati Tampubolon, Desi Putri Tunda, Amin Vito, Yulius Kristoforus Wa Ode Yusria Wahab, Abd. Wahyuddin G, Wahyuddin Yenni Yenni