scholarly journals ANALISIS RISIKO KEKERINGAN DI KABUPATEN BANTUL PROVINSI D.I. YOGYAKARTA

2021 ◽  
Vol 18 (2) ◽  
pp. 143
Author(s):  
Annisa Mu'awanah Sukmawati ◽  
Puji Utomo
Keyword(s):  
Risk Analysis ◽  
Rural Areas ◽  
Hazard Analysis ◽  
Drought Risk ◽  
Drought Event ◽  
Quantitative Research Methods ◽  
Risk Areas ◽  
High Level ◽  
The Impact ◽  
Very High

Bantul Regency is a district in Yogyakarta Province which has geographic, geological, hydrological, and demographic characteristics that are likely to cause drought. Drought event in Bantul Regency may have significant impacts on various aspects in line with the characteristics of drought impacts which are complex and cross-sectoral. This study addresses to analyze the level of risk of drought with observation units in 75 villages in the Bantul Regency. The risk analysis was carried out by comparing the time period of the 10 years, i.e. 2008 and 2018 to observe the shift of risk areas of drought in Bantul Regency. The research was conducted using quantitative research methods with quantitative descriptive and mapping analysis. The analysis steps are drought hazard analysis, vulnerability analysis, and drought risk analysis. The analysis shows that during the last 10 years, Kabupaten Bantul has been experiencing an increasing number of villages classified as high risk of drought, both in urban and rural areas. In 2008 there were 15 villages (20%) and increased to 21 villages (28%) in 2018 that were classified as very very high level. Meanwhile, in 2008 there were 30 villages (40%) in 2008 and increased to 32 villages (42.7%) in 2018 that were classified as very high level. It caused by the increasing probability of drought as well as vulnerability. The analysis results can be used as input for stakeholders to take mitigation and anticipation actions to reduce the impact of drought based on the spatial characteristics of the risk areas.

scholarly journals Pemetaan Area Berisiko Persampahan di Kota Cimahi Berdasarkan Pedoman Strategi Sanitasi Kabupaten/ Kota 2018

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Indah Fionita ◽  
Iwan Juwana
Keyword(s):  
High Risk ◽  
Solid Waste ◽  
Waste Disposal ◽  
Waste Reduction ◽  
Open Burning ◽  
Risk Areas ◽  
Strategic Policy ◽  
Waste Solid ◽  
The Impact ◽  
Very High

ABSTRAKKota Cimahi merupakan salah satu kota di Jawa Barat yang masih menghadapi permasalahan persampahan, seperti terbatasnya penerapan kegiatan pemilahan sampah, terbatasnya jumlah Tempat Penampungan Sementara (TPS), terjadi pembuangan sampah secara sembarangan ke sungai, terdapat penanganan sampah dengan cara dibakar dan ditimbun, dan lain-lain. Dalam menindaklanjuti berbagai permasalahan sampah tersebut serta mencapai target 30% pengurangan sampah yang ditentukan oleh Kebijakan Strategis Nasional (Jakstranas), maka diperlukan suatu instrumen yang mampu menganalisis area berisiko berdasarkan tingkat risiko persampahan per kelurahan di Kota Cimahi. Area berisiko tersebut digambarkan dalam bentuk peta dengan mengacu pada pedoman Strategi Sanitasi Kabupanen/Kota (SSK) 2018. Area berisiko dinilai melalui skor 1 s.d. 4 secara berturut-turut untuk risiko sangat rendah, rendah, tinggi, dan sangat tinggi. Skor tersebut diperoleh dengan mengalikan parameter Impact dan parameter Exposure. Hasil penelitian ini menunjukkan terdapat tiga kelurahan dengan risiko persampahan sangat tinggi, yaitu Kelurahan Cibeureum, Setiamanah, dan Padasuka serta satu kelurahan dengan risiko persampahan tinggi, yaitu Kelurahan Melong. Penambahan jumlah unit pengolahan direkomendasikan di beberapa kelurahan sehingga terjadi perubahan skor area berisiko.Kata Kunci: Kota Cimahi, Peta Area Berisiko, Persampahan ABSTRACTCimahi City is one of the cities in West Java that still faces solid waste problems, such as the limited implementation of waste sorting activities, the limited number of temporary shelter sites, the indiscriminate waste disposal on river, open burning of solid waste, etc. In following up on these various waste problems and achieving the target of 30% waste reduction determined by the National Strategic Policy, an instrument is needed to analyze risk areas based on the level of risk of solid waste per village in Cimahi City. These risk areas are depicted in the form of maps by referring to the 2018 District/City Sanitation Strategy Guidelines. Risk areas are assessed through a score of 1 s.d. 4 for very low, low, high and very high risks. The score is obtained by multiplying the Impact parameters and Exposure parameters. The results of this study indicate that there are three villages with very high risk of solid waste, namely Kelurahan Cibeureum, Setiamanah, and Padasuka and one village with high risk of solid waste, namely Kelurahan Melong. The addition of the number of processing units was recommended in several villages so that changes in the score of risk areas occurred. Keyword: Cimahi City, Map of Risk Areas, Waste Solid

scholarly journals Modeling the Impact of High Temperature on Mortality in Pakistan

2021 ◽  
Vol 14 (1) ◽  
pp. 332
Author(s):  
Mushtaq Ahmad Khan Barakzai ◽  
S.M. Aqil Burney
Keyword(s):  
High Temperature ◽  
Geographical Location ◽  
Maximum Temperature ◽  
Climate Data ◽  
Medium Temperature ◽  
Average Rainfall ◽  
Medium Level ◽  
High Level ◽  
The Impact ◽  
Very High

The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country.

scholarly journals An African Rural Internet Network, and its interactions with Academics

2013 ◽  
Vol 10 (2) ◽  
Author(s):  
Gertjan Van Stam ◽  
Darelle Van Greunen
Keyword(s):  
Rural Areas ◽  
Service Providers ◽  
Cultural Adjustment ◽  
Related Services ◽  
Telecommunications Infrastructure ◽  
Main Challenge ◽  
Telecommunications Network ◽  
High Level ◽  
Rural Zambia ◽  
The Impact

Creating ICT access in the rural areas of Africa is a complex challenge. In these areas, telecommunications infrastructure is provided at a very high cost that may not be justified by the resulting use and effects of the telecommunications network. Affordable access to ICTs in rural areas can be frustrated at the supply as well as the demand end of the service-provision chain. To supply ICTs and related services in rural areas, the main challenge is the high level of capital and operating expenditures incurred by service providers. On the demand side, rural adoption of ICTs in developing countries is curtailed by low availability of complementary public services, such as electricity and education, and by the relative scarcity of locally relevant content. This paper highlight the various aspects of the challenges of setting up a First Mile project in rural Zambia. It takes a rather unique angle in that it introduces the perspectives on the value of academic interventions in a manner that not only addresses some of the complex issues but also accommodates cultural adjustment. The paper introduces the rural internet project in Macha, rural Zambia and demonstrates the impact of such an initiative on setting up not only connectivity in a rural community but also dealing with the challenges that come with this.

scholarly journals Settlement Arrangement based on Landslide Risk Analysis in Girirejo, Bantul, Yogyakarta

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Sri Aminatun ◽  
Yunalia Muntafi
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Group Discussion ◽  
Disaster Risk ◽  
Risk Level ◽  
Landslide Risk ◽  
Weighting Method ◽  
Risk Identify ◽  
Risk Areas ◽  
High Level

<em>Located on a hilly topography with a steep slope, highlighted the importance of settlement arrangement based on a landslide risk assessment in Girirejo village, Imogiri, Bantul, Yogyakarta. This study aims to map landslides risk, identify houses in the landslide risk zone, and provide recommendations for settlement arrangements. The research begins with observation, interviews, and focus group discussion. Disaster risk mapping and analysis were carried out through weighting method based on Perka BNPB No.2 of 2012 concerning General Guidelines for Disaster Risk Assessment and a formula with parameters of hazard, vulnerability, and capacity. Results showed the medium to a high-level of landslide risk was dominated by northern and eastern parts of Girirejo (21 families in red-zone, 23 families in yellow-zone), while western and southern regions had a low landslide risk level. This research also provided a formulation of settlements concept for medium and high-risk areas by considering landslides risk analysis study.</em>

scholarly journals Risk Analysis in the Preparation of a Business Continuity Plan (BCP) in it Services: a Case Study of Universitas Indonesia

2021 ◽  
Author(s):  
Akmal Gafar Putra ◽  
Betty Purwandari ◽  
Farisya Setiadi
Keyword(s):  
Information System ◽  
Risk Management ◽  
Risk Analysis ◽  
Service Management ◽  
Security Management ◽  
Business Continuity ◽  
It Services ◽  
It Service ◽  
High Level ◽  
Very High

Based on the Horizons Scan Report 2021 by BSI, the top 6 threats to organizations today are pandemics, health incidents, safety incidents, IT and telecommunications outages, cyberattacks, and extreme weather. Universitas Indonesia (UI), as a modern, comprehensive, and open campus, strives to become a leading research university globally. As the IT service manager at UI, the Directorate of Information Systems and Technology (DSTI) has the task of strengthening service management by implementing risk management and security management in line with relevant laws and policies. The main problem for DSTI as an IT service at UI is that there are no documents related to risk management and information security management, resulting in IT services’ failure. This year, there have been four data center failures due to power and UPS problems. DSTI wants to improve IT services at UI by implementing risk management and Business Continuity Management System (BCMS). This study aims to conduct a risk analysis to design a Business Continuity Plan (BCP) for IT services at the University of Indonesia. The research was conducted using mix method. The OCTAVE qualitative method was carried out in finding a list of risks on critical assets in IT services at UI. A quantitative approach is needed to rank the risk list using a questionnaire and FMEA calculations to get a risk priority number. This study separates the risk of general assets and information system assets. For critical assets, it is generally found that two are at a very high level, one is high, eight risks are at a low level, and 12 are at a very high level, for information system assets found 12 assets with very high risk, three medium and one low.

scholarly journals A Bayesian copula-based spatio-temporal method for multivariate drought risk analysis: A case study of the Balkhash Lake Basin

2021 ◽  
Author(s):  
Xin Yang ◽  
Yongping Li
Keyword(s):  
Risk Analysis ◽  
Temporal Analysis ◽  
Lake Basin ◽  
Drought Risk ◽  
Severe Drought ◽  
Drought Event ◽  
Spatio Temporal ◽  
Guarantee Rate ◽  
East West

In this study, a Bayesian copula spatio-temporal drought risk analysis (BCSDA) method is developed through coupling Bayesian copula and spatio-temporal analysis into a general framework. BCSDA can effectively identify drought characteristics and reveal the temporal and spatial variation, as well as analyze drought risk at different guaranteed rates based on the influence of multivariate interaction. Then, BCSDA is applied to the Balkhash Lake Basin (a typical arid watershed in Central Asia) for analyzing drought risk during 1901-2017. Major findings are: (i) Balkhash Lake Basin suffered 53 drought events in 1901-2017, and the most severe drought event occurred in October 1973 to January 1977, which lasted for 40 months and developed into an extreme drought during April 1975 to June 1976, affecting 335,800 square kilometers of the study basin; (ii) most of the drought events developed in the direction of east-west, and Lli River delta and the alluvial plain were the most severe of drought (47.2%), followed by the plateau desert area (28.3%) and the arid grassland in north of Balkhash Lake (24.5%); (iii) drought shows significant seasonality which usually began in spring and summer (64.2%) and ended in summer and autumn (66.0%); (iv) in Balkhash Lake Basin, multivariate characteristics (duration, severity and area) would significantly affect drought risk; (v) the range of drought risk would be [1.9%, 18.1%], [3.7%, 33.1%], [8.7%, 46.0%], [16.0%, 55.1%] and [27.6%, 59.8%] when guarantee rate is 0.99, 0.98, 0.95, 0.90 and 0.80.

scholarly journals INCREASING THE ABILITY TO UNDERSTAND MATHEMATICS THROUGH DISCOVERY LEARNING MODEL FOR PGMI STUDENTS AT MUHAMMADIYAH UNIVERSITY WEST SUMATERA

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Ridania Ekawati
Keyword(s):  
Creative Thinking ◽  
Mathematics Learning ◽  
Learning Model ◽  
Discovery Learning ◽  
Activity Level ◽  
Moderate Activity ◽  
Quantitative Research Methods ◽  
Level Of Activity ◽  
High Level ◽  
Very High

Problem research students of PGMI UMSB find it difficult to understand Mathematics learning. Students do not play an active role and think creatively, indicated by low participation in learning. The research objective was to improve the ability to understand mathematics learning at PGMI with the Discovery Learning model. Qualitative and quantitative research methods. Types of Classroom Action Research. The research was conducted in 2 cycles for 2 meetings. Data collection by pretest, posttest, observation, and interviews about the implementation of learning before and after using the discovry learning model. The results of the pretest students think quite creatively 45% while students think less creatively 50%, only 5% think very creatively. In the first cycle of the first meeting of learning with the online discovery learning model with the zoom application, it was seen that 12.5% of students had very high activity level, 25% of students had high level of activity, and 62.5% of students had moderate activity. The percentage of creative thinking is 67% and less creative thinking is 25%, 8% of students think very creatively. In the second cycle student activity in learning increased by 17%, the level of activity was very high, 67% of students had high level of activity, and 16% of students had moderate activity. Students who think creatively reach 80% and think very creatively at 20%. The increase in the average value and the percentage of completeness can be indicated that the application of the discovery learning model of PGMI students can understand  mathematics learning.

Experiential Learning by Business Students on Short Term Study Tours

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Experiential Learning ◽  
Business Students ◽  
Short Term ◽  
Term Study ◽  
Study Tour ◽  
Short Term Study ◽  
High Level ◽  
The Impact ◽  
Very High

This study incorporates a qualitative, case study based approach to analyze the impact of a short domestic study tour on business students of a Mumbai based college. The methods for data collection were structured questionnaires, feedback forms, interviews, focus groups, and work diaries. Short and economical study tours within the country have succeeded tremendously in their objective and have provided a very high level of learning experiences. There is strong evidence of experiential learning which seem to produce a significant, almost magical, impact on students.

scholarly journals Run Theory and Copula-Based Drought Risk Analysis for Songnen Grassland in Northeastern China

2019 ◽  
Vol 11 (21) ◽  
pp. 6032 ◽  
Author(s):  
Wu ◽  
Zhang ◽  
Bao ◽  
Guo
Keyword(s):  
Risk Analysis ◽  
Goodness Of Fit ◽  
Distribution Functions ◽  
Drought Severity ◽  
Dependence Structure ◽  
Drought Risk ◽  
Drought Event ◽  
Return Periods ◽  
Copula Functions ◽  
Run Theory

Droughts are among the more costly natural hazards, and drought risk analysis has become urgent for the proper planning and management of water resources in grassland ecosystems. We chose Songnen grassland as a case study, used a standardized precipitation evapotranspiration index (SPEI) to model drought characteristics, employed run theory to define the drought event, and chose copula functions to construct the joint distribution for drought variables. We applied two kinds of return periods to conduct a drought risk assessment. After evaluating and comparing several distribution functions, drought severity (DS) was best described by the generalized extreme value (GEV) distribution, whereas drought duration (DD) was best fitted by gamma distribution. The root mean square error (RMSE) and Akaike Information Criterion (AIC) goodness-of-fit measures to evaluate their performance, the best-performing copula is Frank copula to model the joint dependence structure for each drought variables. The results of the secondary return periods indicate that a higher risk of droughts occurs in Keshan county, Longjiang county, Qiqiha’er city, Taonan city, and Baicheng city. Furthermore, a relatively lower risk of drought was found in Bei’an city, Mingquan county, Qinggang county, and qian’an county, and also in the Changling county and Shuangliao city. According to the calculation of the secondary return periods, which considered all possible scenarios in our study, we found that the secondary return period may be the best indicator for evaluating grassland ecosystem drought risk management.

scholarly journals Conventionalization of Organic Agriculture: A Multiple Case Study Analysis in Brazil and Italy

2020 ◽  
Vol 12 (16) ◽  
pp. 6580
Author(s):  
Oscar José Rover ◽  
Adevan da Silva Pugas ◽  
Bernardo Corrado De Gennaro ◽  
Francesco Vittori ◽  
Luigi Roselli
Keyword(s):  
Organic Agriculture ◽  
Rural Areas ◽  
Farming Systems ◽  
Alternative Food ◽  
Alternative Food Networks ◽  
Metropolitan Regions ◽  
Italian Regions ◽  
Food Networks ◽  
High Level ◽  
The Impact

The conventionalization of organic agriculture has been described as a process in which organic agriculture increasingly adopts the features of conventional modes of production based on industrial farming methods. The increasing supply of organic products to the large retailers is considered the main driver of conventionalization. This process has negative implications for the agrobiodiversity of organic farming systems. The present study aims to investigate and analyze the impact of retailing strategies on the agrobiodiversity of organic farms. A survey of farms located in rural areas near large urban centers (three metropolitan regions in Southern Brazil and four Italian regions) was undertaken. Data was collected through face-to-face interviews based on a semi-structured questionnaire. The analysis indicates that the farms surveyed maintained a high level of agrobiodiversity and active participation in alternative food networks. Our findings point out that there was a significant and positive correlation between the crop richness index and the share of farm sales through alternative food networks. We conclude that adopting various forms of direct sale is the key factor in stimulating farms’ agrobiodiversity, but proximity to densely populated areas is a necessary precondition for the development of the short food supply chains needed to stimulate the diversification of organic agriculture.

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