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INDONESIA
Jurnal Sains dan Teknologi Mitigasi Bencana
Published by Badan Pengkajian dan Penerapan Teknologi
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education
Arjuna Subject : -
Articles 187 Documents
 9   10   11   12   13 
DISTRIBUTION OF WATER POLLUTION AREAS BASED ON THE KERNEL DENSITY METHOD FOR LAPINDO MUDFLOW DISASTER OF SIDOARJO Shofwan, Moch; Aini, Farida Nur
Jurnal Sains dan Teknologi Mitigasi Bencana Vol 15, No 1 (2020): JURNAL SAINS DAN TEKNOLOGI MITIGASI BENCANA
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (636.807 KB) | DOI: 10.29122/jstmb.v15i1.4122

Abstract

The Lapindo mudflow disaster in Sidoarjo Regency which occurred on May 29, 2006 is a natural event that is classified as high risk. This disaster has a significant impact, especially for the water pollution caused by various conditions due to the Lapindo mudflow disaster. The purpose of the study is to mapping the location and analyze the distribution of water pollution based on the kernel density method. This research uses spatial approachment through descriptive-quantitative, qualitative and explorative methods. Primary and secondary data are both used in the research. The research results showed that water pollution is found on the north, west, south and east sides of the Lapindo mudflow disaster area in villages in three sub-districts namely Porong, Tanggulangin, and Jabon with the highest radius of pollution risk maximum of 1 Km from the center of the mudflow. The results of the distribution of water pollution areas based on the method of kernel density showed that the distribution of the highest water pollution leads to the north and west sides of the center of the mudflow.
DETERMINATION OF LANDSLIDE SLIP PLANE USING GEOLOGY AND GEOELECTRICAL ANALYSIS AT MOUNT GEGER PULUS LEGOK EMO SLOPE SEGMENT, CILILIN, WEST JAVA Tejakusuma, Iwan Gunawan
Jurnal Sains dan Teknologi Mitigasi Bencana Vol 15, No 1 (2020): JURNAL SAINS DAN TEKNOLOGI MITIGASI BENCANA
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1737.337 KB) | DOI: 10.29122/jstmb.v15i1.4114

Abstract

Mount Geger Pulus in Cililin District, West Java shows a cone geomorphology composed of an Andesitic intrusion in which part of the slope is covered by volcanic rock. Small scale landslides have occurred several times indicating that the surrounding area is at risk of landslides. The slope segment of Legok Emo of this mount has a steep to very steep slope, covered by secondary and mixed forests. Settlement lies around the bottom of this slope. The results of geoelectrical measurements and geological analysis of this slope segment indicate that the slope has a potential to landslide that is controlled by tuff acting as a slip plane and can be triggered by rainfall. The layer that has the potential to landsliding are weathered volcanic breccias with a thickness of about 3 meters with a maximum of 5 meters that is overlying tuff which is relatively impermeable.
UTILIZATION OF ARTIFICIAL INTELLIGENCE TO IMPROVE FLOOD DISASTER MITIGATION Riza, Hammam; Santoso, Eko Widi; Tejakusuma, Iwan Gunawan; Prawiradisastra, Firman; Prihartanto, Prihartanto
Jurnal Sains dan Teknologi Mitigasi Bencana Vol 15, No 1 (2020): JURNAL SAINS DAN TEKNOLOGI MITIGASI BENCANA
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1516.032 KB) | DOI: 10.29122/jstmb.v15i1.4145

Abstract

Flood disaster is one of predominant disaster event in Indonesia. The frequency and intensity of this disaster tend to increase from year to year as well as the losses caused thereby. To reduce the risks and losses due to flood disasters, innovation in disaster mitigation is needed. Artificial intelligence and machine learning are technological innovations that have been widely applied in various fields of life and can also be used to improve flood disaster mitigation. A literature study conducted in this research shows that the use of artificial intelligence and machine learning has proven to be able, and succeed to fastly and accurately perform flood prediction, flood risk mapping, flood emergency response and, flood damage mapping. ANNs, SVM, SVR, ANFIS, WNN and DTs are popular methods used for flood mitigation in the pre-disaster phase and it is recommended to use a combination or hybrid of these methods. During the flood disaster response phase, the application of artificial intelligence and machine learning are still not much has been done and need to be developed. Examples of the application are the use of big data from social media Twitter and machine learning both supervised learning with Random Forest and unsupervised learning with CNN which have shown good results and have a good prospect to be applied. For the use of artificial intelligence in post-disaster flood phase, are still also rare, because it requires actual data from the field. However, in the future, it will become a promising program for the assessment and application of artificial intelligence in the flood disaster mitigation.
FUNCTION OF INTERCEPTION, EVAPOTRANSPIRATION AND ROOT REINFORCEMENT OF PLANT ON SLOPE STABILIZATION Sittadewi, Euthalia Hanggari
Jurnal Sains dan Teknologi Mitigasi Bencana Vol 15, No 1 (2020): JURNAL SAINS DAN TEKNOLOGI MITIGASI BENCANA
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.206 KB) | DOI: 10.29122/jstmb.v15i1.4116

Abstract

The ability of plants to carry out the functions of interception, evapotranspiration and root reinforcement provides an effective and contributes to an increase in slope stability. Canopy has a role in the process of interception related to the reduction of amount the infiltrated water and the rapid fulfilment of soil moisture. Through the evapotranspiration mechanism, plants can reduce pore water pressure in the soil so that the trigger force for landslides can be reduced and the soil will be more stable. The roots mechanically strengthen the soil, through the transfer of shear stresses in the soil into tensile resistance in the roots. Roots also bind soil particles and increase surface roughness, thereby reducing the process of soil displacement or erosion. There is a positive relationship between the density of the tree canopy with the value of rainfall interception, evapotranspiration with a decrease in pore water pressure in the soil and the ability of root anchoring and binding with an increase in soil shear strength, indicating that the function of interception, evapotranspiration and strengthening of plant roots have a positive effect on increasing slope stability. Plants selection that considers the level of interception, the rate of evapotranspiration and root reinforcement by adjusting environmental and slopes conditions will determine the success of slope stabilization efforts by vegetative methods.Keywords : interception, evapotranspiration, root reinforcement, slope stabilization.
EARTHQUAKE HAZARD ANALYSIS OF NGANJUK REGENCY Wisyanto, Wisyanto; Sri Naryanto, Heru
Jurnal Sains dan Teknologi Mitigasi Bencana Vol 15, No 1 (2020): JURNAL SAINS DAN TEKNOLOGI MITIGASI BENCANA
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1270.844 KB) | DOI: 10.29122/jstmb.v15i1.4148

Abstract

Earthquake hazard must be considered by many regions in Indonesia. This is including Nganjuk Regency, the area with intensifies development and where the longest dam in Indonesia is being built. Earthquake hazard studies are conducted using two methods, namely semi-deterministic and probabilistic methods. The results of analyses using the first method show that Nganjuk Regency can be divided into 3 classes of hazards, low level in the southwest region, middle level in the north and high level in the middle of the region. Analyses using the second method reveal that Nganjuk Regency can be classified into two categories, the southwest region which has the potential to experience very strong shocks with an intensity of upper VII MMI to lower VIII MMI and the northern and central region which has the potential of destructive shocks with an intensity of middle VIII MMI. The difference in the results from the two methods can be eliminated by classifying the detail of the existing soil/rock types.
SPATIAL PATTERN OF SULFUR DIOXIDE DISPERSION AND AFFECTED SETTLEMENT AREAS IN SERANG REGENCY BANTEN PROVINCE Putra, Ahmad Pratama
Jurnal Sains dan Teknologi Mitigasi Bencana Vol 15, No 1 (2020): JURNAL SAINS DAN TEKNOLOGI MITIGASI BENCANA
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1473.035 KB) | DOI: 10.29122/jstmb.v15i1.4117

Abstract

In Serang Regency, pollutants and air emissions are produced by industrial activities, including Sulfur Dioxide (SO2) gas. SO2-polluted air causes problems to the human respiratory system. This study examine the spatial pattern of SO2 gas dispersion and its impact on settlements in Serang Regency using geostatistic and Inverse Distance Weighting (IDW) method in Arc GIS. Based on the results of ambient air quality measurements in Serang Regency, which have been measured by the Serang Regency Environmental Agency from 2015 - 2019 for the SO2 parameter, it can be seen that none of them exceed the standard of the PP No. 411999 concerning Air Pollution Control. The results of spatial analysis of gas dispersion show tendencies of high gas concentration in industrial zones, which indicate the contribution of gases from industrial business activities in several monsoons. The most extensive settlement affected by SO2 gas with the highest value of 40-50 µg / Nm3 is on Cikande District covering an area of 3.173,77 Ha which occurs during the west monsoon from December to February.
FAKTOR GEOLOGI DAN LINGKUNGAN DALAM KEJADIAN LONGSOR DI KABUPATEN MAJALENGKA JAWA BARAT Iwan Gunawan Tejakusuma
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 12 No. 2 (2017): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v12i2.1750

Abstract

Kabupaten Majalengka didominasi oleh topografi perbukitan dan pegunungan yang mencakup 71,3% dari total luas kabupaten ini. Topografi tersebut tersebar di bagian tengah dan selatan kabupaten ini. Curah hujan bulanan mencapai 552 mm di bulan Desember 2013 dan pada bulan November, Januari, Februari, Maret dan April 2013 curah hujan tidak kurang dari 300 mm per bulan. Jumlah penduduk serta aktivitas manusi terus meningkat dari tahun ke tahun. Kejadian longsor di kabupaten ini tahun 2010 – 2012 serta berdasarkan pengamatan lapangan kondisi longsor di Blok Gunung Payung, Blok Cigintung dan di Gunung Anten menunjukkan dominansi faktor kondisi geologi litologi sementara aktivitas manusia berupa pembuatan jalan, perumahan dan pembukaan lahan pertanian berkontribusi untuk terjadinya longsor. Curah hujan juga merupakan faktor pemicu longsor. Kombinasi kondisi geologi dan lingkungan seperti tersebut membuat daerah Kabupaten Majalengka rawan terhadap bencana longsor.
POTENSI GEMPA DAN TSUNAMI DI KABUPATEN BANGGAI LAUT, PROVINSI SULAWESI TENGAH Heru Sri Naryanto
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 12 No. 2 (2017): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v12i2.1907

Abstract

ABSTRAK : Kabupaten Banggai Laut, Sulawesi Tengah merupakan bagian dari kerangka sistem tektonik Indonesia. Daerah ini terletak pada pertemuan tiga lempeng tektonik utama dunia, yaitu Lempeng Indo-Australia, Lempeng Eurasia dan Lempeng Pasifik, sehingga mengakibatkan tingkat aktivitas kegempaan dan tsunami yang tinggi. Kabupaten Banggai Laut yang terbentuk kepulauan, hampir di semua pantai yang mengelilinginya berpotensi untuk terjadi bencana tsunami. Pantai yang relatif datar banyak dimanfaatkan oleh penduduk untuk permukiman, perkantoran, fasilitas umum/khusus dan segala infrastruktur lainnya, mempunyai potensi tsunami yang tinggi dengan persebaran yang luas. Dengan mempertimbangkan klasifikasi besar intensitas gempabumi (skala MMI) dan klasifikasi besaran goncangan, serta rentang nilai PGA dari USGS, maka Kabupaten Banggai Laut dibagi menjadi 2 klas, yaitu klas zona bahaya gempabumi sedang dengan nilai PGA 0,2 - 0,3 g, klas zona bahaya gempabumi tinggi dengan PGA 0,3-0,4 g. Data dan informasi peta  potensi bahaya gempabumi dan tsunami Kabupaten Banggai Laut sangat diperlukan oleh BPBD Kabupaten Banggai Laut. Peta tersebut menjadi acuan dalam proses pembangunan di Kabupaten Banggai Laut, untuk pengurangan risiko bencana gempabumi dan tsunami yang mungkin terjadi baik jiwa maupun harta. Dengan dibuatnya peta bahaya gempa dan tsunami tersebut, diharapkan penanggulangan bencana dapat dilaksanakan dengan lebih terarah, terpadu, menyeluruh, efisien serta terkoordinasi. Keywords : Banggai Laut, earthquake and tsunami hazard, disaster risk reduction 
ANALISIS POTENSI ANCAMAN GEMPA TERHADAP BANGUNAN wisyanto wisyanto
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 12 No. 2 (2017): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v12i2.2069

Abstract

Seiring dengan adanya perubahan status daerah krui menjadi ibukota Kabupaten Pesisir Barat, menjadikan daerah ini, khususnya Krui menjadi berkembang secara pesat, termasuk dengan proses pembangunannya. Tumbuh berkembangnya kota ini juga tidak terlepas dari indahnya pantai dan tempat lainnya yang dapat dijadikan tujuan wisata , termasuk wisatawan dari mancanegara. Mengingat daerah ini rawan terhadap bencana gempabumi, maka perlu adanya suatu informasi kegempaan kepada masyarakat supaya lebih memperhatikan faktor besar ancaman gempa dalam membangun / mendirikan bangunan. Terlebih lagi untuk bangunan yang tinggi yang biasanya didiami oleh banyak jiwa. Melalui penelusuran data kegempaan, survei geolistrik, pengumpulan data sondir dan sampel bor telah dilakukan analisis besar ancaman  gempa dan penetapan besar spektra percepatan gempanya, serta besar koefisien gempa yang nantinya dapat dipakai sebagai dasar perhitungan dalam melakukan desain bangunan yang relatif tahan terhadap ancaman gempabumi.
Tingkat Emisi Gas Rumah Kaca di Kabupaten Indramayu Diyah Krisna Yuliana
Jurnal Sains dan Teknologi Mitigasi Bencana Vol. 12 No. 2 (2017): Jurnal Sains dan Teknologi Mitigasi Bencana
Publisher : Badan Pengkajian dan Penerapan Teknologi (BPPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/jstmb.v12i2.2098

Abstract

Istilah Gas Rumah Kaca mengemuka seiring dengan isu pemanasan global dan perubahan iklim yang dampaknya telah dirasakan di berbagai wilayah di Indonesia. Pemanasan global dan perubahan iklim adalah sebuah fenomena meningkatnya konsentrasi Gas Rumah Kaca (GRK) di atmosfer. Pemerintah Indonesia menargetkan dapat menurunkan kelima sektor potensial yang memicu terjadinya GRK. Kelima sektor potensial tersebut yaitu sektor Kehutanan dan lahan gambut, sektor Pertanian, Sektor energi dan transportasi, sektor industri dan sektor limbah. Kabupaten Indramayu telah melakukan Inventarisasi Gas Rumah Kaca dan melaporkannya melalui Laporan berjudul “Inventarisasi Gas Rumah Kaca Kabupaten Indramayu Tahun 2012”. Namun, Kabupaten Indramayu belum dapat melakukan penghitungan emisi GRK sesuai standar yang ditetapkan sehingga tidak diperoleh hasil yang menunjukkan nilai besarnya emisi GRK dalam laporan tersebut. Berdasarkan hasil kalkulasi, tingkat emisi Gas Rumah Kaca di Kabupaten Indramayu cenderung tinggi dilihat dari jumlah emisi yang dihasilkan dari sektor industri dan transportasi serta terjadinya pengurangan simpanan cadangan carbon yang cukup besar pada sektor kehutanan. Dampak perubahan iklim di Kabupaten Indramayu sangat mempengaruhi kehidupan masyarakatnya, terutama pada sektor pertanian dan perikanan.

Page 11 of 19 | Total Record : 187

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