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"Tarutung -Sipirok road segment is a national road between Medan and Padang cities which landslide always occurs over and over again. From survey and field investigation, Aeklatong and Batujomba areas are located on unstable area and on the Semangko Fault zone...."

"Flooding has become an annual event in Indonesia, one of the regions that suffers from flooding is the regency of Trenggalek in East Java. Flooding as a natural phenomenon that has caused the disaster was tringgered by the high rainfall intensity and limited capacity of the river stream...."

"Nowadays flood is a serius prolem in Jakarta, and this is caused by the uncontrolled urbanisation and bad watershed management in the upper stream. During the 207 floodingm Kampung Melayu, Jatinegara district, Esat Jakarta is one of areas that suffered from big losses...."

"Masalah lingkungan hidup tidak semata merupakan masalah menyangkut fisik masyarakat. Hal ini juga menyangkut aspek biologis dan sosial masyarakat .Makalah singkat mencoba menelaah ketiga aspek tadi dalam tiga bagian (Bell 1988):...."

"Kuala Namu the newly planned Medan - North Sumatera international airport is a vital infrastructure that is not allowed to be flooded. Kuala Namu is located 3.5 km from the coast between the Serdang and ular Rivers. The lowest elevation of airport area is 6.5 m above mean sea level,meanwhile highest tide may reach 2.76 m. Design flood was calculated by using the rational method to provide recommondations for the airport planner...."

"Penelitian ini bertujuan untuk mengetahui daerah rawan tanah longsor di Kabupaten Dairi, Provinsi Sumatera Utara dengan menggunakan metode Spatial Multicriteria Evaluations (SMCE). Sebanyak 100 data inventaris kejadian bencana tanah longsor digunakan dalam penelitian yang berlangsung selama tahun 2018 – 2020. Data ini dibagi menjadi dua bagian yaitu 60 titik digunakan untuk pengolahan dalam menentukan peta rawan longsor dan 40 titik digunakan untuk validasi peta rawan longsor. Untuk menghasilkan peta rawan longsor, digunakan 12 parameter yang memiliki pengaruh terhadap terjadinya longsor yakni kemiringan lereng, arah hadap lereng (aspek), ketinggian (elevasi), bentuk lereng, formasi, jarak dari patahan, jarak dari sungai, topographic wetness index (TWI), stream power index (SPI), sediment transport index (STI), penggunaan lahan, dan jarak dari jalan. Selanjutnya masing-masing peta parameter dianalisis menggunakan metode SMCE melalui pendekatan analytical hierarchy process (AHP). Hasil pembuatan peta kerawanan longsor dibagi menjadi 5 kelas yang terdiri dari kelas sangat rendah, rendah, sedang, tinggi, dan sangat tinggi. Penentuan validasi peta kerawanan yang telah dibuat dilakukan dengan menggunakan metode kurva receiver operating characteristic (ROC). Nilai area under curve (AUC) pada kurva ROC hasil penelitian ini menunjukkan nilai akurasi  83,33 %. Berdasarkan nilai tersebut, maka model peta yang dihasilkan dapat digolongkan memiliki akurasi yang tinggi. Peta daerah rawan longsor yang dibuat dapat berguna sebagai upaya mitigasi bencana di Kabupaten Dairi, Provinsi Sumatera Utara.

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This study aims to determine landslide susceptibility areas in Dairi Regency, North Sumatra Province using the Spatial Multicriteria Evaluations (SMCE) method. A total of 100 pieces of inventory data for landslide events were used in the research that took place during 2018 – 2020. This data was divided into two parts, 60 points were used for processing in determining landslide susceptibility map and 40 points were used for validation of landslide susceptibility map. To produce a landslide susceptibility map, 12 parameters are used that influence the occurrence of landslides, including  slope gradient, slope aspect, elevation, curvature, lithology, distance from faults, distance from rivers, topographic wetness index (TWI), stream power index (SPI), sediment transport index (STI), land use, and distance from roads. Furthermore, each parameter map was analyzed using the SMCE method through the analytical hierarchy process (AHP) approach. The result of making landslide susceptibility map is divided into 5 classes consisting of very low, low, medium, high, and very high classes. Determination of the validation of the susceptibility map that has been made is done using the receiver operating characteristic (ROC) curve method. The area under curve (AUC) value on the ROC curve shows an accuracy value of 83.33%. Based on these values, the resulting map model can be classified as having high accuracy. The map of landslide susceptibility areas that is made is expected to be useful as a disaster mitigation effort in Dairi Regency, North Sumatra Province."

"Gerakan tanah merupakan bahaya geologi utama di dunia yang menyebabkan tingginya jumlah korban manusia hingga kerugian harta benda yang sangat besar, serta mengakibatkan kerusakan pada sumber daya alam, ekosistem, dan infrastruktur. Selama periode Januari 2020 hingga Desember 2021, bancana gerakan tanah telah menjadi bencana yang paling rawan terjadi di Kabupaten Wonosobo, yakni sebanyak 238 kejadian. Bahkan, beberapa dari kejadian tersebut memakan korban jiwa yakni satu orang meninggal dunia di Kecamatan Kaliwiro, satu orang meninggal dunia di Kecamatan Kepil, dan dua orang meninggal dunia di Kecamatan Watumalang. Oleh karenanya, penelitian ini dilakukan agar dapat menentukan zona kerentanan gerakan tanah yang berguna dalam membantu proses mitigasi risiko sehingga segala bentuk kerugian dapat diminimalisasi. Zona kerentanan gerakan tanah pada Kabupaten Wonosobo divisualisasikan dengan peta kerentanan gerakan tanah. Sebanyak 242 titik gerakan tanah dikumpulkan untuk menghasilkan peta inventori. Titik tersebut kemudian dibagi menjadi 168 (70%) sebagai data training dan 74 (30%) sebagai data testing. Parameter yang dipertimbangkan terdiri dari berbagai parameter penyebab seperti aspek lereng, curvature, elevasi, kemiringan lereng, jarak dari sungai, litologi, tata guna lahan dan satu parameter pemicu, yaitu curah hujan. Selain itu, dilakukan pengurangan resolusi terhadap turunan data DEM seperti aspek lereng, curvature, elevasi, kemiringan lereng menjadi 8, 17, 25, dan 40 m untuk melihat pengaruhnya terhadap akurasi model. Semua parameter diolah menggunakan piranti ArcGIS untuk mengasilkan peta parameter. Peta parameter selanjutnya digabungkan dan dianalisis menggunakan metode frequency ratio dan weight of evidence untuk menghasilkan peta kerentanan gerakan tanah. Hasil penelitian menunjukkan bahwa Kabupaten Wonosobo memiliki kecenderungan terhadap kerentanan gerakan tanah dengan tingkatan rendah, sedang, hingga tinggi. Berdasarkan data resolusi DEM 8 m dan 17 m, tingkatan kerentanan didominasi oleh kelas sedang. Namun pada data resolusi DEM 25 m dan 40 m, tingkatan kerentanan didominasi oleh kelas rendah. Peta kerentanan masing-masing resolusi kemudian diuji nilai AUC nya menggunakan success rate curve untuk melihat keberhasilan model dan prediction rate curve untuk mengukur akurasi prediksi model. Setelah dilakukan validasi, resolusi tinggi ternyata tidak berbanding lurus dengan kualitas akurasi model. Akurasi success rate mengalami puncaknya pada resolusi DEM 25 m sedangkan prediction rate pada resolusi DEM 17 m.

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Landslide is a major geological hazard in the world that causes a high number of human casualties to enormous property losses, as well as causing damage to natural resources, ecosystems and infrastructure. During the period from January 2020 to December 2021, landslide disasters have become the most prone to disasters in Wonosobo Regency, with 238 incidents. In fact, some of these incidents claimed lives, namely one person died in Kaliwiro District, one person died in Kepil District, and two people died in Watumalang District. Therefore, this research was conducted in order to determine the susceptibility zones of landslide which are useful in assisting the risk mitigation process so that all forms of losses can be minimized. The landslide vulnerability zone in Wonosobo Regency is visualized with a landslide susceptibility map. A total of 242 landslide points were collected to produce an inventory map. These points are then divided into 168 (70%) as training data and 74 (30%) as testing data. The parameters considered consist of various causal parameters such as slope aspect, curvature, elevation, slope, distance from river, lithology, land use and one trigger parameter, namely rainfall. In addition, the resolution of the DEM data derivatives was reduced, such as slope aspects, curvature, elevation, slope to 8, 17, 25, and 40 m to see the effect on model accuracy. All parameters are processed using the ArcGIS tool to produce a parameter map. Then the parameter maps are combined and analyzed using the frequency ratio and weight of evidence methods to produce a landslide susceptibility map. The results of the study show that Wonosobo Regency has a tendency towards low, moderate and high susceptibility to landslide. Based on DEM 8 m and 17 m resolution data, the susceptibility level is dominated by the moderate class. However, in DEM 25 m and 40 m resolution data, the susceptibility level is dominated by the low class. Then the susceptibility map of each resolution is tested for AUC value using a success rate curve to see the success of the model and a prediction rate curve to measure the accuracy of model predictions. After validation, it turns out that high resolution is not directly proportional to the quality of the model accuracy. Success rate accuracy peaks at DEM 25 m resolution while prediction rate at DEM 17 m resolution."

"ABSTRAKPertumbuhan penduduk kota yang cepat dan tak terkendali menyebabkan tekanan terhadap ketersediaan lahan. Selain itu berbagai masalah seperti fasilitas umum yang tidak merata hingga bencana seperti banjir dan longsor yang terjadi saat ini akan semakin parah di masa yang akan datang. Penelitian ini berusaha untuk melakukan proyeksi mengenai pertambahan penduduk agar ketersediaan lahan yang ada dapat digunakan secara berkelanjutan. Sistem pemodelan merupakan metode yang dapat menggambarkan situasi nyata mengenai ketersediaan lahan. Penilaian kesesuaian penggunaan lahan merupakan penentu utama dalam proses perencanaan dan pengambilan keputusan. Variabel yang diambil untuk penelitian ini adalah kemiringan, ketinggian, dan tutupan lahan. Studi ini memberikan informasi mengenai proyeksi pertumbuhan penduduk dan wilayah terbangun, serta kesesuaian lahan untuk pembentukan kota di masa depan dan strategi mitigasi bencana banjir dan longsor untuk pengembangan wilayah terbangun.

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The rapid and uncontrolled population growth of the city causes pressure on the availability of land. In addition, various problems such as uneven public facilities such as disasters such as floods and landslides that occur at this time will be even worse in the future. This research attempts to make projections regarding population growth so that the available land can be used sustainably. Modeling system is a method that can describe real situations regarding land availability. Land use suitability assessment is the main determinant in the planning and decision making process. The variables taken for this study are slope, altitude, and land cover. This study provides information on projections of population growth and built areas, as well as land suitability for future city formation and flood and landslide mitigation strategies for the development of built areas.

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