scholarly journals LANDSLIDE SUSCEPTIBILITY MAPPING IN BERASTAGI DISTRICT KARO REGENCY BASED ON GEOGRAPHIC INFORMATION SYSTEMS

2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Desi Permata Sari ◽  
Nahor Manahat Simanungkalit ◽  
Nina Novira
Keyword(s):  
Landslide Susceptibility ◽  
System Approach ◽  
Rock Type ◽  
Geographic Information ◽  
Landslide Susceptibility Mapping ◽  
Low Level ◽  
Medium Level ◽  
High Level ◽  
Very High

This study aims to describe the spatial distribution of landslide prone areas in Berastagi District, Karo Regency with a Geographic Information System approach. Determination of the level of landslide susceptibility is obtained based on the method of scoring and weighting and overlaying of parameters including slope, rainfall, land use, soil type, rock type, and landform. The results showed that there were 4 levels of landslide susceptibility in Berastagi District, Karo Regency, namely low level of susceptibility 1,036.76 Ha (33.16%), medium level of susceptibility 772.02 Ha (24.69%), high level of susceptibility 1,055 .53 Ha (33.76 %), and very high level of susceptibility 262.13 Ha (8.38 %). The low level of susceptibility is dominated by Guru Singa Village (10.83 %), Raya Village (8.66 %), and Rumah Berastagi Village (3.72%). The medium and high level of susceptibility were dominated by Sempajaya Village at 4.51% and 3.68%. The very high level of susceptibility to landslides is dominated by Doulu Village, which is 17.40%. Meanwhile, the other 5 (five) villages have varying levels of susceptibility to landslides. Thus, 33.16% of the Berastagi District area is still safe from landslides, while the remaining 66.83% is prone to landslides.

scholarly journals GEOGRAPHIC INFORMATION SYSTEM (GIS) APPLICATION TO ANALYZE LANDSLIDE PRONE DISASTER ZONE IN JEMBER REGENCY EAST JAVA

2018 ◽  
Vol 2 (1) ◽  
pp. 45
Author(s):  
Fahmi Arif Kurnianto ◽  
Bejo Apriyanto ◽  
Elan Artono Nurdin ◽  
Fahrudi Ahwan Ikhsan ◽  
Rosmadi Bin Fauzi
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Local Community ◽  
Geographic Information ◽  
Gis Application ◽  
High Level ◽  
Very High ◽  
Landslide Disaster

Jember regency has several areas that are morphology of folding hills and mountain folds. The part of landslide prone zone is closely related to the slope of the slope. Areas with a sloping slope of more than 15º need attention to the possibility of a landslide disaster. Interconnection contacts with weathering of rocks, settlements and land cover also affect the landslide potential. The existence of Ijen Volcano that produces volcanic rock deposits that are generally not yet unified will increase the potential for landslides in Jember Regency. Landslide has occurred one of them on Gunung Gumitir Street which is the main route of Surabaya-Jember-Banyuwangi traffic. In May 2016 this street is hit by landslide, so the flow of traffic through this lane is paralyzed and must be diverted to a further path, which rotates to Situbondo City. The transfer of this pathway resulted in a loss to the local community and who crossed the path.The occurrence of landslide disaster shows that Jember Regency area is vulnerable and potentially return to landslide. Therefore there is a need for a solution to solve this problem. One solution to solve the problem is by utilizing Geographic Information System (GIS) application. The purpose of this research is to analyze zonation prone to landslide in jember district. The design of the research is Geographic Information System overlay analysis. This design combines several parameters in the determination of landslide-prone zones. This design combines several parameters in the determination of landslide-prone zones. The parameter used in this research is (1) land use, (2) topography, and (3) soil.Based on the research results, it can be known zone with highest to lowest vulnerability level. Zone with very high level of vulnerability is located in Panti sub-district, Sumberbaru, Sukorambi, Dyke, Silo and Jelbuk. The zones have similar characteristics that include (1) soil type of andosol, (2) clay texture, (3) uncompacted rock, (4) slope of 30⁰-40⁰ (steep and very steep), and (5) land use for settlements and plantations. Keyword: landslide disaster, jember regency, Geographic Information System

scholarly journals Learning Skills Level on The Young Prisoners in Correctional Institution Adolescent

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Alizamar Alizamar ◽  
Gusni Dian Suri ◽  
Mudjiran Mudjiran ◽  
Syahniar Syahniar ◽  
Afdal Afdal
Keyword(s):  
Research Finding ◽  
Quantitative Method ◽  
Correctional Institution ◽  
Correctional Institutions ◽  
Learning Skills ◽  
Low Level ◽  
Medium Level ◽  
The Government ◽  
High Level ◽  
Very High

The future achievement of adolescent in correctional institutions is also required to assume education or learning. The government has need to provide coaching for young prisoners in education at correctional institution so they are ready to enter new life after free. But the coaching that has not been able to optimally implementation. One of the problems that young prisoners is low learning skills. The purpose of this study was to describe learning skills of the young prisoners in correctional institution adolescent Tanjung Pati Lima Puluh Koto. This research used quantitative approaches with descriptive-quantitative method. The sample in this research consisted of 32 young prisoner. An analyze of the data used instruments learning skills of the young prisoners and analysis used is presentation. The research finding showed that learning skills of young prisoners at a medium level as many as 17 people with 73,91%, the very high level as many as 5 people with 21,74%, the low level as many as 1 people with 4,35%. The implication of this research is to describe learning skills young prisoners. In order, the results of this study could be data to assist the prisoners and coaching for solving their problems in learning

scholarly journals Determining the prevalence of musculoskeletal injuries and its relationship with workplace posture in copper industry repairmen

2021 ◽  
Author(s):  
Masuomeh KARAMI ◽  
Saeid Ghane EZABADI ◽  
Zohreh KARAMI ◽  
Yaser SAHRANAVARD
Keyword(s):  
Musculoskeletal Disorders ◽  
Occupational Injuries ◽  
Musculoskeletal Injuries ◽  
Risk Level ◽  
Low Back ◽  
Low Level ◽  
Left Limb ◽  
Medium Level ◽  
High Level ◽  
Very High

Introduction: Musculoskeletal disorders are one of the most common causes of occupational injuries that mainly affect the low back, neck, and upper limbs. Preventing these discomforts requires assessing workplace posture using ergonomic job analysis methods. The aim of this study was to determine the rate of musculoskeletal injuries of mechanical repairs using REBA method in 2018 in Sarcheshmeh copper mine. Methods: In this descriptive-analytical study, the workplace posture of 65 mechanical repairs were evaluated using REBA method. The prevalence of musculoskeletal disorders was also obtained using the Nordic questionnaire. The collected data were analyzed by SPSS 20. Results: In this study, the prevalence of wrist discomfort was 43.07%, neck 18.46%, shoulder 33.84%, low back 53.85%, and leg 27.70%. Regarding the risk level of the right limb, 9.25% of the subjects were at a low level, 46.15% at a medium level, 32.30% at a high level, and 12.30% at a very high level. Also, regarding the risk level of the left limb, 4.62% of the subjects were at a low level, 64.61% at a medium level, 26.15% at a high level, and 4.62% at a very high level. Conclusion: These results indicated that the workplace posture of the subjects needed to be improved. To prevent the occurrence of these disorders, education is required to recognize biomechanical risk factors and correct methods of working, use of appropriate tools and appropriate to the work process, and improvement and control of stressors and environmental factors.  

Urban network of China from the perspective of population mobility: Three-dimensional co-occurrence of nodes and links

2021 ◽  
pp. 0308518X2199781
Author(s):  
Xinyue Luo ◽  
Mingxing Chen
Keyword(s):  
Three Dimensional ◽  
Geographical Distance ◽  
Two Dimensional ◽  
Population Mobility ◽  
Urban Network ◽  
Urban Networks ◽  
Low Level ◽  
Medium Level ◽  
High Level ◽  
External Connections

The nodes and links in urban networks are usually presented in a two-dimensional(2D) view. The co-occurrence of nodes and links can also be realized from a three-dimensional(3D) perspective to make the characteristics of urban network more intuitively revealed. Our result shows that the external connections of high-level cities are mainly affected by the level of cities(nodes) and less affected by geographical distance, while medium-level cities are affected by the interaction of the level of cities(nodes) and geographical distance. The external connections of low-level cities are greatly restricted by geographical distance.

Colorimetric Determination of Aklomide (2-Chloro-4-Nitrobenzamide) in Poultry Feed

1969 ◽  
Vol 52 (3) ◽  
pp. 438-441
Author(s):  
Glenn M George ◽  
A C Daftsios ◽  
Joseph L Morrison
Keyword(s):  
Nitro Group ◽  
Poultry Feed ◽  
Colorimetric Determination ◽  
Average Recovery ◽  
Low Level ◽  
Color Development ◽  
Titanium Trichloride ◽  
High Level

Abstract The coccidiostat aklomide is extracted from feed with methanol and assayed colorimetrically by reduction of the nitro group to anamine with titanium trichloride and subsequent color development with t he Bratton-Marshall reaction. Thirteen laboratories studied the method collaboratively on two levels of medicated feed. Overall average recovery was 106.5% of the oretical for the low level and 104.5% of the oretical for the high level. The method is recommended for adoption as official first action

scholarly journals Building Extraction in Very High Resolution Imagery by Dense-Attention Networks

2018 ◽  
Vol 10 (11) ◽  
pp. 1768 ◽  
Author(s):  
Hui Yang ◽  
Penghai Wu ◽  
Xuedong Yao ◽  
Yanlan Wu ◽  
Biao Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Building Extraction ◽  
Learning Networks ◽  
Feature Maps ◽  
Low Level ◽  
High Resolution Imagery ◽  
Very High Resolution Imagery ◽  
High Level ◽  
Very High

Building extraction from very high resolution (VHR) imagery plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Compared with the traditional building extraction approaches, deep learning networks have recently shown outstanding performance in this task by using both high-level and low-level feature maps. However, it is difficult to utilize different level features rationally with the present deep learning networks. To tackle this problem, a novel network based on DenseNets and the attention mechanism was proposed, called the dense-attention network (DAN). The DAN contains an encoder part and a decoder part which are separately composed of lightweight DenseNets and a spatial attention fusion module. The proposed encoder–decoder architecture can strengthen feature propagation and effectively bring higher-level feature information to suppress the low-level feature and noises. Experimental results based on public international society for photogrammetry and remote sensing (ISPRS) datasets with only red–green–blue (RGB) images demonstrated that the proposed DAN achieved a higher score (96.16% overall accuracy (OA), 92.56% F1 score, 90.56% mean intersection over union (MIOU), less training and response time and higher-quality value) when compared with other deep learning methods.

scholarly journals Evaluation of Resistance Development in Bemisia tabaci Genn. (Homoptera: Aleyrodidae) in Cotton against Different Insecticides

Insects ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 996
Author(s):  
Muhammad Zaryab Khalid ◽  
Sohail Ahmed ◽  
Ibrahim Al-ashkar ◽  
Ayman EL Sabagh ◽  
Liyun Liu ◽  
...  
Keyword(s):  
Bemisia Tabaci ◽  
The Other ◽  
Resistance Development ◽  
Susceptible Population ◽  
Low Level ◽  
Development Of Resistance ◽  
Major Pest ◽  
Selection For ◽  
High Level ◽  
Very High

Cotton is a major crop of Pakistan, and Bemisia tabaci (Homoptera: Aleyrodidae) is a major pest of cotton. Due to the unwise and indiscriminate use of insecticides, resistance develops more readily in the whitefly. The present study was conducted to evaluate the resistance development in the whitefly against the different insecticides that are still in use. For this purpose, the whitefly population was selected with five concentrations of each insecticide, for five generations. At G1, compared with the laboratory susceptible population, a very low level of resistance was observed against bifenthrin, cypermethrin, acetamiprid, imidacloprid, thiamethoxam, nitenpyram, chlorfenapyr, and buprofezin with a resistance ratio of 3-fold, 2-fold, 1-fold, 4-fold, 3-fold, 3-fold, 3-fold, and 3-fold, respectively. However, the selection for five generations increased the resistance to a very high level against buprofezin (127-fold), and to a high level against imidacloprid (86-fold) compared with the laboratory susceptible population. While, a moderate level of resistance was observed against cypermethrin (34-fold), thiamethoxam (34-fold), nitenpyram (30-fold), chlorfenapyr (29-fold), and acetamiprid (21-fold). On the other hand, the resistance was low against bifenthrin (18-fold) after selection for five generations. A very low level of resistance against the field population of B. tabaci, at G1, showed that these insecticides are still effective, and thus can be used under the field conditions for the management of B. tabaci. However, the proper rotation of insecticides among different groups can help to reduce the development of resistance against insecticides.

scholarly journals SCREENING FOR DYSLIPIDEMIA AND EXPEDIENCE OF STATIN THERAPY FOR THE CITIZENS OF TRANSCARPATHIA VALLEY REGIONS WITH OVERWEIGHT AND OBESITY

2017 ◽  
Author(s):  
A. V. Kedyk ◽  
M. V. Rishko ◽  
O. O. Kutsyn
Keyword(s):  
Statin Therapy ◽  
Overweight And Obesity ◽  
Obese Patients ◽  
Microsoft Excel ◽  
Atherogenic Dyslipidaemia ◽  
Overweight Group ◽  
Group 2 ◽  
High Level ◽  
Very High

Background. The lipid profiles of patients with overweight, obesity and healthy individuals, the citizens of Transcarpathia valley regions were analysed.Objective. The study was aimed at evaluation of dyslipidaemia frequency in patients with overweight and obesity, determination of expedience of statins prescription.Methods. All patients were divided into 2 groups: group 1 – patients with overweight; group 2 – patients with obesity of I and II degree. Estimation of lipid profile parameters was conducted by means of spectrophotometric device SIEMENS Dimension RxL Max. Statistical analysis of the data was conducted using Microsoft Excel 2007.Results. The patients with obesity had higher level of total cholesterol (6.03±0.53 mmol/l), lower HDL-C (1.15±0.07 mmol/l) and higher level of LDL-C (4.19±0.46 mmol/l) compare with overweight patients.In 46% of patients with overweight, dyslipidaemia was evidenced and required correction, 27% of them had high CVR and needed statin therapy, 19% of people with obesity had moderate CVR and didn’t need statins.77% of obese patients needed lipid correction, 54% of them with very high and averagely high level of CVR required statin therapy; 23% of people with obesity had moderate CVR and did not need statins.Conclusions. In the studied overweight and obese patients, atherogenic dyslipidaemia was established in 46% and 77% of cases respectively. Correction of dyslipidaemia with statin was compulsory for 27% of patients with overweight and for 54% with obesity.

scholarly journals Geospatial Technology for Landslide Susceptibility Mapping along the Vathalmalai Ghat road section, South India

2021 ◽  
Vol 30 (4) ◽  
pp. 683-691
Author(s):  
G. Kavitha ◽  
S. Anbazhagan ◽  
S. Mani
Keyword(s):  
Landslide Susceptibility ◽  
Drainage Density ◽  
Landslide Susceptibility Mapping ◽  
Slope Aspect ◽  
Susceptibility Map ◽  
Landslide Susceptibility Zonation ◽  
Road Section ◽  
Gps Measurement ◽  
Causative Factors ◽  
Very High

Landslides are among the most prevalent and harmful hazards. Assessment of landslide susceptibility zonation is an important task in reducing the losses of lifeand properties. The present study aims to demarcate the landslide prone areas along the Vathalmalai Ghat road section (VGR) using remote sensing and GIS techniques. In the first step, the landslide causative factors such as geology, geomorphology, slope, slope aspect, land use / land cover, drainage density, lineament density, road buffer and relative relief were assessed. All the factors were assigned to rank and weight based on the slope stability of the landslide susceptibility zones. Then the thematic maps were integrated using ArcGIS tool and landslide susceptibility zonation was obtained and classified into five categories ; very low, low, moderate, high and very high. The landslide susceptibility map is validated with R-index and landslide inventory data collected from the field using GPS measurement. The distribution of susceptibility zones is ; 16.5% located in very low, 28.70% in low, 24.70% in moderate, 19.90% in high and 10.20% in very high zones. The R-index indicated that about 64% landslide occurences correlated with high to very high landslide susceptiblity zones. The model validation indicated that the method adopted in this study is suitable for landslide disaster mapping and planning.

The Analysis of Students Mathematic Problem Solving Ability During Online Learning

2021 ◽  
Vol 6 (1) ◽  
pp. 62-68
Author(s):  
M. Arif Wahyu Daroini ◽  
Tri Novita Irawati ◽  
Sholahudin Al Ayubi
Keyword(s):  
Online Learning ◽  
Problem Solving ◽  
Mathematical Problem ◽  
Mathematical Problem Solving ◽  
Ability Level ◽  
Maximum Score ◽  
Low Level ◽  
Medium Level ◽  
Good For ◽  
High Level

This study aims to determine students' mathematical problem solving abilities based on their high, medium and low level of ability in solving the problem. This type of research is descriptive qualitative. The data collecting method that use are observation, test, and interview. The results showed that the problem-solving ability of high-level subjects reached an average of 75%, the problem-solving abilities of medium-level subjects reached an average of 67%, the problem-solving abilities of low-level subjects reached an average of 67%, out of a maximum score of 100. The result of interview, ability level high, medium, and low, students are capable and good even though it does not reach 100%. So, it can be concluded that high, medium, and low level abilities are good for going through the problem solving ability indicator.  Keywords: problem solving, online learning  

Sign in / Sign up

Export Citation Format

Share Document