114 research outputs found
Sistem Informasi E-Commerce Bolon Coffee Berbasis Website
No full textE-commerce is one of the most developed concepts in the field of information technology. The concept of e-commerce provides many conveniences and advantages when compared to conventional shopping concepts, including all the information desired by consumers can be accessed in more detail, quickly without being limited by place and time, and the transaction process can be made much easier. So that the application of this system will greatly facilitate and benefit many parties, both sellers and consumers.
Bolon coffee is a shop that is in the field of coffee sales. Promotional media is needed to increase sales, especially from the many media used in this case. Seeing the current opportunities, the author has an idea to design a web-based information system for Bolon Coffee to increase sales which are currently declining. With this website, business owners can increase customer confidence to shop at bolon coffee. E-commerce at bolon coffee uses the codeigniter framework in the design and creation process. This framework can help and facilitate programmers in creating the desired e-commerce website.56 HalamanKertas Karya Diplom
Turi-Turian Legenda Batu Basiha di Desa Aek Bolon, Kecamatan Balige Pada Etnik Batak Toba : Kajian Psikologi Sastra
No full textLiterary psychology is a literary research discipline that discusses human problems from a psychological aspect. This is what makes the writer interested in analyzing the psychology contained in the Legend batu basiha. Problems in research: 1) What are the intrinsic elements found in the Legendary Turi-Turian Stone In Aek Bolon Village, Balige District in the Toba Batak Ethnic, 2) What Aspects of Literary Psychology are contained in the Turi-Turian Legend batu basiha In Aek Bolon Village, Balige District with the Toba Batak Ethnic. The theory used in this study refers to theories about character traits, namely Nurgiyantoro (2010), Hamidy (2012), Minderop (2013), Endraswara (2013), Aminuddin (2014). The approach that researchers use is a qualitative approach, this type of research is a library, the method used is descriptive method. The results of the study concluded: The author concludes that the theme of this legend is the selfishness of Manggak Napitupulu. The author finds several characters in the legend, including: manggak napitupulu and tigers as the main characters in the legend batu basiha. And there are several auxiliary characters found in the legend, namely ompung, tunggane, namboru, lae, doli-doli akkang, babiat dan tulang. As well as this legend found psychoanalysis namely id, ego and superego in this folklore.113 HalamanSkripsi Sarjan
Analysis of Rainfall-runoff Neuron Input Model with Artificial Neural Network for Simulation for Availability of Discharge at Bah Bolon Watershed
No full textAbstractIndonesia is a tropical country with two seasons (wet and dry) which play the main role in water cycle process. Occurrence of rain continues into the flow of the discharge in the river with a huge energy potential that can be exploited for the life of the surrounding community. The occurrence and intensity of rain is random and difficult to predict in a certain period of time so that discharge is also difficult to be estimated although it is measured in the field in time of rainfall occurrence. The amount of runoff produced by the same depth of precipitation in a watershed will result a different magnitude with another watershed because it is influenced by land use in the watershed. This paper discusses the modeling of rainfall-runoff in the Watershed of Bolon in Simalungun district of North Sumatra Province using Artificial Neural Network (ANN) to determine the potential of the available discharge in the long term for the purpose of Micro Hydro Power (MHP). The software/program is developed with Scilab mathematical open source software (www.scilab.org) based on ANN algorithm. The data are record of monthly rainfall and discharge for 12 years (2001 to 2012). The models developed are 12 monthly neurons, 4 year neurons and series neuron (48 neurons) for input (rainfall) - output (runoff) neurons. The result shows that reliability the 12 monthly neurons is 99% (the best) followed by series neuron with 78% and 4 year neuron 77%. The chosen model (12 monthly neurons) then to be used for predicting the monthly discharge availability at Bah Bolon Site. Dependable discharges predicted with this software for year 2013 to 2016 consecutively are as follows: 0.678246 m3/s, 0.655288 m3/s, 0.678475 m3/s and 0.678135 m3/s
Estimating Snakebite Risk in the Terai, Nepal: A High-Resolution Geospatial and One Health Analysis
No full textMost efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans and animals, based on both a national-scale multi-cluster random survey and, environmental, climatic, and socio-economic gridded data for the Terai region of Nepal. The resulting Integrated Nested Laplace Approximation models highlight the importance of poverty as a fundamental risk-increasing factor, augmenting the snakebite odds in humans by 63.9 times. For animals, the minimum temperature of the coldest month was the most influential covariate, increasing the snakebite odds 23.4 times. Several risk hotspots were identified along the Terai, helping to visualize at multiple administrative levels the estimated population numbers exposed to different probability risk thresholds in one year. These analyses and findings could be replicable in other countries and for other diseases
Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach
No full textMost efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans and animals, based on both a national-scale multi-cluster random survey and, environmental, climatic, and socio-economic gridded data for the Terai region of Nepal. The resulting Integrated Nested Laplace Approximation models highlight the importance of poverty as a fundamental risk-increasing factor, augmenting the snakebite odds in humans by 63.9 times. For animals, the minimum temperature of the coldest month was the most influential covariate, increasing the snakebite odds 23.4 times. Several risk hotspots were identified along the Terai, helping to visualize at multiple administrative levels the estimated population numbers exposed to different probability risk thresholds in 1 year. These analyses and findings could be replicable in other countries and for other diseases
Semi-Structured File Analysis for Information Integration
No full textThis paper describes a PostScript file analyzer for extracting information from Web PostScript documents. Our motivation for studying this problem is the building of an information- integration system. The information extracted from these semi-structured files can be used to model the contents of Web information sources and to define semantic links between items of information. Extracted information can be integrated to other information coming from different sites. We have demonstrated this analyzer by an operational prototype system. Key words: World Wide Web, information source, semi-structured data file, PostScript analyzer, information integration. 2.1 Introduction The World Wide Web (WWW) is an ever-expanding global information resource. Despite the general availability of information, it is difficult for a user to locate relevant pieces of information and to integrate them. To overcome these problems, several solutions have been proposed recently, which mainly rely on two res..
Evaluation of the Implementation of the Indonesian Conditional Cash Transfer Programmer and Non-Cash Food Subsidy Program in Overcoming Extreme Poverty in the Districtgirsang Sipangan Bolon
No full textThis research is entitled "Evaluation of the Implementation of the Indonesian Conditional Cash Transfer Programme and Non-Cash Food Subsisy Program in Overcoming Extreme Poverty" and took the location of this research in Girsang Sipangan Bolon District. The rationale for choosing this research location was because there was a phenomenon in poor communities not receiving assistance from the PKH and BPNT programs. This research used a purposive sampling technique with eight informants consisting of two key informants, five main informants, and 1 additional informant. Data collection techniques use qualitative research methods. The results show that to evaluate the implementation of the PKH and BPNT programs it is necessary to use theory to measure the level of program success. The author uses theory from Willian N Dunn, there are six indicators, namely Effectiveness focuses on the expected results to achieve goals, Efficiency focuses on the amount of effort required to produce a certain level of effectiveness, Adequacy focuses on how far a level of effectiveness is satisfactory, Equity focuses on equal distribution policy benefits, Responsiveness focuses on the policy can satisfy needs, Accuracy focuses on the price of the program objectives. The conclusion is that the process of implementing the PKH and BPNT programs in overcoming extreme poverty has not yet run completely well and optimally. This is because there are still many poor people who have not received financial assistance from the PKH and BPNT programs in the hope of being able to solve the problem of poverty.118 PagesSkripsi Sarjan
Evaluation of the Implementation of the Indonesian Conditional Cash Transfer Programmer and Non-Cash Food Subsidy Program in Overcoming Extreme Poverty in the Districtgirsang Sipangan Bolon
No full textThis research is entitled "Evaluation of the Implementation of the Indonesian Conditional Cash Transfer Programme and Non-Cash Food Subsisy Program in Overcoming Extreme Poverty" and took the location of this research in Girsang Sipangan Bolon District. The rationale for choosing this research location was because there was a phenomenon in poor communities not receiving assistance from the PKH and BPNT programs. This research used a purposive sampling technique with eight informants consisting of two key informants, five main informants, and 1 additional informant. Data collection techniques use qualitative research methods. The results show that to evaluate the implementation of the PKH and BPNT programs it is necessary to use theory to measure the level of program success. The author uses theory from Willian N Dunn, there are six indicators, namely Effectiveness focuses on the expected results to achieve goals, Efficiency focuses on the amount of effort required to produce a certain level of effectiveness, Adequacy focuses on how far a level of effectiveness is satisfactory, Equity focuses on equal distribution policy benefits, Responsiveness focuses on the policy can satisfy needs, Accuracy focuses on the price of the program objectives. The conclusion is that the process of implementing the PKH and BPNT programs in overcoming extreme poverty has not yet run completely well and optimally. This is because there are still many poor people who have not received financial assistance from the PKH and BPNT programs in the hope of being able to solve the problem of poverty.118 PagesSkripsi Sarjan
Community-based symptom reporting among agro-pastoralists and their livestock in Chad in a One Health approach.
No full textOne Health Syndromic Surveillance has a high potential for detecting early epidemiological events in remote and hard-to-reach populations. Chadian pastoralists living close to their animals and being socio-economically unprivileged have an increased risk for zoonosis exposure. Engaging communities in disease surveillance could also strengthen preparedness capacities for outbreaks in rural Chad. This study describes a retrospective cross-sectional survey that collected data on clinical symptoms reported in people and livestock in Chadian agro-pastoral communities. In January-February 2018, interviews were conducted in rural households living in nomadic camps or settled villages in the Yao and Danamadji health districts. The questionnaire covered demographic data and symptoms reported in humans and animals for the hot, wet, and cold seasons over the last 12 months. Incidence rates of human and animal symptoms were comparatively analyzed at the household level. Ninety-two households with a homogeneous socio-demographic distribution were included. We observed cough and diarrhea as the most frequent symptoms reported simultaneously in humans and animals. In all species, the incidence rate of cough was significantly higher during the cold season, and diarrhea tended to occur more frequently during the wet season. However, the incidence rate of cough and diarrhea in animals did not predict the incidence rate of these symptoms in humans. Overall, the variations in reported symptoms were consistent with known seasonal, regional, and sociological influences on endemic diseases. Our retrospective study demonstrated the feasibility of collecting relevant health data in humans and animals in remote regions with low access to health services by actively involving community members. This encourages establishing real-time community-based syndromic surveillance in areas such as rural Chad
Climate change and infectious diseases
No full textGlobal changes are major determinants for infectious diseases, although attributable, part of climate change remains debatable. Vector-borne diseases are prone to be impacted by global warming, although other factors may play a substantial role, evidenced by the dramatic decrease in malaria in the last decades in places where climate change has deep and significant effects. There is now evidence that in some areas of the world, e.g. Horn of Africa, warm El Niño Southern Oscillations (ENSO), which are observed in the South Pacific Ocean, are associated with higher risk of emergence of Rift Valley fever, cholera and malaria and during cold La Niña events, dengue fever, chikungunya and yellow fever. This has been observed for these and other diseases in other parts of the world. For example, seasonal influenza outbreaks have been more intense (i.e. higher number) and more severe (i.e. higher mortality) when concomitant with La Niña events. Since climate scientists have recently observed that climate change is tied to more frequent and more intense ENSO events, we may foresee increases in frequency and severity in emerging infectious diseases in the world
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