Hasil Pencarian  ::  Simpan CSV :: Kembali

"Peristiwa banjir bandang yang terjadi di Kabupaten Lebak pada tanggal 1 Januari 2020 menyebabkan sebanyak 30 desa di 6 kecamatan terdampak. Dari 30 desa yang terdampak, Desa Banjaririgasi merupakan salah satu desa dengan dampak terparah dibandingkan desa lainnya. Penelitian mengenai kerugian akibat banjir bandang di Desa Banjaririgasi selain didasari oleh data kerusakan, juga didasari oleh bentuk lahan, letak yang berada di hulu DAS Ciberang Hulu, dan jumlah permukiman yang banyak terdapat di sisi sungai Ciberang. Penelitian ini bertujuan untuk menentukan karakteristik fisik dari wilayah terdampak banjir bandang di Desa Banjaririgasi berdasarkan parameter kemiringan lereng, dan perbedaan tinggi dengan sungai. Sedangkan, estimasi kerugian ditentukan berdasarkan overlay dari peta wilayah terdampak dengan peta penggunaan lahan Desa Banjaririgasi, kemudian dihitung luasannya lalu dikalikan dengan nilai ekonomi (economic exposure) dari kelas penggunaan lahan itu sendiri. Hasil dari penelitian menujukkan bahwa wilayah terdampak banjir bandang di Desa Banjaririgasi mencakup beberapa kelas penggunaan lahan dengan karakterisitk fisik berupa memiliki kemiringan lereng datar hingga agak landai dan perbedaan tinggi rendah. Sedangkan, tingkat kerugian terbesar di Desa Banjaririgasi berasal dari kerusakan pada fasilitas pemerintahan yang ditaksir sebesar Rp59,415,832,341.00. Sementara tingkat kerugian terkecil berasal dari penggunaan lahan hutan yaitu sebesar Rp59,457,216.00.

---

Flash flood that occurred at Lebak Regency in January 1st, 2020 affected around 30 villages in 6 sub-districts. The most affected area among 30 villages was Banjaririgasi Village. The research of estimating flood damage in Banjaririgasi Village was based on damage data, also based on the the topography of the area, location of the village itself that located at Ciberang Hulu river upstream, and most settlement are built in river bank area. The goal of this research are to determining physical characteristics of flash flood innudated area based on two parameter: slope steepness and elevation difference. The estimated amount of loss caused by flash floods were obtained by overlaying inundation map and land use map then calculate the area of inundated land use, and compared to economic exposure value of each type of land use. Results showed that the innudated area of flash flood in Banjaririgasi Village has physical characteristics: it has flat to gently sloping, and low elevation. Also, the highest damage caused by flash flood in Banjaririgasi Village estimated around IDR 59,415,832,341.00 from damaged/destroyed government facility, and the lowest damage estimated around IDR59,457,216.00 that comes from forestry."

"Dalam beberapa tahun terakhir, bencana banjir menunjukkan peningkatan frekuensi di DKI Jakarta. Penelitian ini ingin mengetahui persepsi warga DKI Jakarta mengenai risiko dari banjir serta hubungannya dengan kualitas hidup (QoL). Penelitian dilakukan terhadap 443 partisipan dengan karakteristik berusia 18-60 tahun dan tinggal di DKI Jakarta. Setengah dari partisipan melaporkan pernah mengalami banjir dan rata-rata persepsi risiko banjir ditemukan cukup tinggi. Meskipun begitu, analisis regresi sederhana menemukan bahwa persepsi risiko banjir tidak memiliki kontribusi yang signifikan terhadap kualitas hidup. Hasil penelitian dapat menjadi peringatan bagi pihak-pihak terkait untuk meningkatkan tindakan preventif dan respons protektif terhadap banjir di DKI Jakarta untuk menghindari dampak yang lebih buruk pada kualitas hidup warganya.

---

In recent years, floods are seen to increase in frequency around DKI Jakarta. This research aims to study the perception of DKI Jakarta residents regarding risks of floods and its relationship with their quality of life (QoL). This research was carried out on 443 participants between the age of 18-60 years old and live in DKI Jakarta. Half of the participants had flood experience and the average score of flood risk perception is found to be fairly high. However, simple regression analysis revealed that flood risk perception did not contribute significantly to quality of life. Present findings serve as a warning to related parties to improve preventive and protective measures toward flooding in DKI Jakarta to avoid possible worse impacts on the residents’ quality of life."

"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):...."

"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...."

"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...."

"Indonesia merupakan negara yang rentan dengan banjir. Salah satu sungai yang paling sering terdampak banjir adalah Sungai Citarum. Penelitian ini bertujuan untuk mengidentifikasi karakteristik endapan banjir menggunakan metode Penginderaan Jauh (SIG) dan Total Organik Karbon (TOC) pada Daerah Aliran Sungai (DAS) Citarum, Kabupaten Bandung. Hasil dari metode Penginderaan Jauh (SIG) merupakan pengolahan data Rupa Bumi Indonesia (RBI) berupa peta geologi, peta jenis tanah, peta penggunaan lahan, peta geomorfologi, peta ketinggian, dan peta kemiringan lereng. Selanjutnya, data diolah dan ditumpangtindih (overlay) menjadi peta kerentanan bencana banjir. Terdapat pula beberapa data pendukung seperti data cuaca dan iklim BMKG, data Global Weather, dan data CHIRPS dari Climate Hazard Center USA (CHC USA). Selanjutnya, peta di validasi dengan data banjir dari Badan Nasional Penanggulangan Bencana (BNPB). Hasil dari metode Total Organik Karbon (TOC) merupakan hasil dari analisis lab yang dibandingkan dengan data penelitian sebelumnya, yaitu data Granulometri dari Prayoga (2020). Kemudian, data TOC dikorelasi dengan data statigrafi untuk menganalisis keterjadian banjir. Hasil dari penelitian ini merupakan sintesis dan kolaborasi berbagai data untuk mengetahui daerah yang rentan akan bencana banjir serta menganalisis endapan banjir dengan mengkorelasi data Granulometri dari Prayoga (2020), data lapangan, dan data TOC di Daerah Aliran Sungai (DAS) Citarum, Kabupaten Bandung.

---

Indonesia is a country that is prone to flooding. One of the rivers most frequently affected by flooding is the Citarum River. This study aims to identify the characteristics of flood sediment using Remote Sensing (GIS) and Total Organik Carbon (TOC) methods in the Citarum Watershed (DAS), Bandung Regency. The results of the Remote Sensing (GIS) method of processing Rupa Bumi Indonesia (RBI) data are in the form of geological maps, soil type maps, land use maps, geomorphological maps, map elevations, and slope maps. Furthermore, the data is processed and being overlay into a flood hazard map. There are also some supporting data such as BMKG weather and climate data, Global Weather data, and CHIRPS data from the Climate Hazard Center USA (CHC USA). Furthermore, the map is validated with flood data from the National Disaster Management Agency (BNPB). The results of the Total Organik Carbon (TOC) method are the result of lab analysis compared to previous research data, namely Granulometric data from Prayoga (2020). Then, the TOC data was correlated with the statigraphic data to analyze the occurrence of flooding. The results of this study are a synthesis and colaboration of various data to identify areas prone to flood disasters and to analyze flood sediment by correlating Granulometric data from Prayoga (2020), field data, and TOC data in the Citarum River Basin (DAS), Bandung Regency."

"ABSTRAKPermasalahan bencana banjir tidak hanya dipengaruhui oleh fenomena alam yang ekstrim saja, tetapi juga dipengaruhi oleh kondisi kerusakan lingkungan, fenomena sosial mayarakat serta kebijakan pemerintah dalam upaya mengurangi risiko banjir. Strategi upaya mengurangi risiko banjir dapat dilakukan secara tepat dengan melakukan penilaian risiko banjir meliputi penilaian bahaya, kerentanan dan kapasitas. Penelitian ini bertujuan untuk mengembangkan model penilaian bahaya banjir berdasarkan data kejadian bencana banjir di DAS Kemuning Sampang Madura. Metode penilaian bahaya banjir terdiri dari 2 (dua) antara lain metode indeks topographi modifikasi dan metode kombinasi Geomorphic Flood Index(GFI) dan metode Height Above the Nearest Drainage (HAND). Indeks bahaya banjir dibagi menjadi 3 kelas yaitu rendah (indeks bahaya < 0,333), sedang (indeks bahaya: 0.333 - 0.666), tinggi (indeks bahaya > 0,666). Hasil Indeks Bahaya Banjir model indeks topographi modifikasi diperoleh luas bahaya banjir sebesar 6459 hektar (24%) indeks bahaya tinggi, 8329 hektar (31%) indeks bahaya sedang, dan 11882 hektar (45%) indeks bahaya rendah. Sedangkan hasil Indeks Bahaya Banjir model kombinasi GFI dan HAND luas bahayanya sebesar 1402 hektar (44%) indeks bahaya tinggi, 1271 hektar (40%) indeks bahaya sedang, 504 hektar (16%) indeks bahaya rendah. Model penilaian bahaya banjir metode kombinasi GFI dan HAND disimpulkan memiliki hasil yang sebagian besar mewakili kejadian sebenarnya di Kabupaten Sampang serta mampu mengakomodir model penilaian bahaya banjir sesuai ketentuan pada Perka BNPB No. 2 Tahun 2012 yaitu menggunakan parameter potensi ketinggian genangan, sehingga direkomendasikan sebagai model penilaian bahaya banjir tingkat Kab/Kota berdasarkan data kejadian (histori) banjir.

---

ABSTRACTThe problem of floods event is not only affected by extreme natural phenomena, but also influenced by conditions of environmental damage, social phenomena and government policies in efforts to reduce floods risk.The strategy to reduce flood risk can be done appropriately with conducting flood risk assessments including hazard assessment, vulnerability and capacity. This study aims to develop a flood hazard assessment model based on historical data on flood event in Kemuning watershed, Sampang-Madura. The flood hazard assessment method consists of 2, including the modified topographic index (MTI) method and the combination of the geomorphic flood index (GFI) method and the height above the nearest drainage (HAND) method. The disaster hazard level is divided into 3 classes, namely low (hazard index <0.333), medium (hazard index: 0.333 - 0.666), high (hazard index> 0.666). The result is a flood hazard index using modified topographic index models that with details of 1182 hectare (24%) high level, 8329 hectare (31 %) medium level, 11882 hectare (45%) low level. While the result is a flood hazard index using GFI and HAND Combination models that with details of 1402 hectare (44%) high level, 1271 hectare (40 %) medium level, 504 hectare (16 %) low level.The flood hazard assessment model of the GFI and HAND combination method is concluded to have results that largely represent the actual events in Sampang Regency and are able to accommodate the flood hazard assessment model according to the provisions of Perka BNPB No. 2 of 2012, namely using parameters of potential inundation height, so it is recommended as a flood hazard assessment model at the district /city level based on the event data (history) of floods."