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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
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Articles 8 Documents
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Search results for , issue "Vol. 15 No. 1 (2020): Jurnal Sains dan Teknologi Mitigasi Bencana" : 8 Documents clear
INDONESIAN COVID-19 CASE MODELING USING GAUSSIAN EQUATION Luthfi Yufajjiru
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 | DOI: 10.29122/jstmb.v15i1.4102

Abstract

The WHO have been setting Covid-19 as pandemic since it spread over the world including Indonesia. Modeling is needed to see the possibility of this case for raising awareness. This research had been conducted to build a model using the Gaussian equation for modeling the Covid-19 case in Indonesia to fulfill the model gap in previous research. The data acquisition is scraping from Line Siaga official account in Line chatting platform based on KEMENKES RI publication. This Modeling is yielding several models and RMS Error: a daily positive case, a daily recovery, a daily death, the cumulative positive case, the cumulative recovery, the cumulative death, a daily active case, and the cumulative active case. Modeling was started on 2 April 2020 and set parameters that want to be evaluated on 12 April 2020, and evaluating the model on 21 April 2020. The result shows that the infection could exceed 33275 cases and 4342 death. The RMS Error is increasing, the cumulative model generally < 56% to <115%, < 35% to <52% for daily cases, and < 5% to 15% for death and recovery rate. From the RMS Error shows that the equation has not a good precission which affected by the community behaviour and also the goverment policy that could reshaping the curve quite significant. The other possible factor is the reliability of the data, there is dependency between positive case and amount of testing which leads to represents the cummulative positive case to not exactly the same in reality.
DETERMINATION OF LANDSLIDE SLIP PLANE USING GEOLOGY AND GEOELECTRICAL ANALYSIS AT MOUNT GEGER PULUS LEGOK EMO SLOPE SEGMENT, CILILIN, WEST JAVA Iwan Gunawan Tejakusuma
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 | 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.
FUNCTION OF INTERCEPTION, EVAPOTRANSPIRATION AND ROOT REINFORCEMENT OF PLANT ON SLOPE STABILIZATION Euthalia Hanggari Sittadewi
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 | 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.
SPATIAL PATTERN OF SULFUR DIOXIDE DISPERSION AND AFFECTED SETTLEMENT AREAS IN SERANG REGENCY BANTEN PROVINCE Ahmad Pratama Putra
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 | 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.
PREDICTION OF MEDICAL HAZARDOUS WASTE GENERATION FROM COVID-19 PATIENT HANDLING HOSPITALS Mr 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 | DOI: 10.29122/jstmb.v15i1.4118

Abstract

The Covid-19 pandemic disaster has resulted in thousands peoples died and hospitalized. Handling of Covid-19 patients requires more medical equipment than normal condition, such as masks, goggles, protective clothing and so on which will increase the rate of generation of medical waste. Prediction of the total medical hazardous waste generation in Indonesia can be calculated using the prediction model of the total number of Covid-19 cases and the average generation of medical waste for each one patient. In this study, the capacity of a hazardous waste incinerator in Indonesia is also calculated to determine the time needed for waste processing. Besides, standar procedures for handling medical  hazardous waste from source to final disposal site are also needed.
DISTRIBUTION OF WATER POLLUTION AREAS BASED ON THE KERNEL DENSITY METHOD FOR LAPINDO MUDFLOW DISASTER OF SIDOARJO Moch Shofwan; Farida Nur Aini
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 | 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.
UTILIZATION OF ARTIFICIAL INTELLIGENCE TO IMPROVE FLOOD DISASTER MITIGATION Hammam Riza; Eko Widi Santoso; Iwan Gunawan Tejakusuma; Firman Prawiradisastra; 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 | 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.
EARTHQUAKE HAZARD ANALYSIS OF NGANJUK REGENCY Wisyanto Wisyanto; Heru Sri Naryanto
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 | 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.

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