scholarly journals Implementasi Metode SMARTER Untuk Rekomendasi Penerima Bantuan Raskin Masa Covid 19

2021 ◽  
Vol 5 (2) ◽  
pp. 549
Author(s):  
Julfikar Rahmad ◽  
Volvo Sihombing ◽  
Masrizal Masrizal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Rural Areas ◽  
Lower Class ◽  
Developed Countries ◽  
Decision Support Model ◽  
Head Of Household ◽  
Classic Problem ◽  
The Government ◽  
The Right

The problem of poverty is a classic problem that occurs in every country, both developed countries and developing countries like Indonesia. In every country, there are many programs carried out by the government to overcome the problem of poverty, one of which is the RASKIN program carried out by the Indonesian government. The method used to complete this research is SMARTER (Simple Multi Attribute Rating Technique Exploiting Ranks). During the Covid 19 pandemin, which is currently happening, various kinds of assistance are needed for middle and lower class people in rural areas, thus to distribute assistance, assistance distribution techniques are needed so that it reaches the right people. The SMARTER method was chosen because it is a form of decision support model used in decision making with multi attributes that will be used to solve decision-making problems. The research was conducted in Sei Beluru Village, Meranti District, Asahan Regency. In Sei Beluru Village, several criteria were obtained from direct observation of the field, namely the area of the house floor, the type of floor of the house, the type of house wall, the toilet facilities, the source of drinking water, lighting, materials. fuel used, frequency of eating, ability to buy meat, ability to buy clothes, ability to seek treatment, monthly income, education of the head of household, ownership of assets. Decision support systems using the Smarter method are able to analyze data on people who are entitled to receive Raskin assistance. The results obtained from this study are that from several prospective recipients of Raskin assistance with the specified criteria, it is found that the most prioritized alternative has the highest value of 0.603 using the Smarter method.

scholarly journals Assistance Decision Model for SMEs

2020 ◽  
Vol 8 (5) ◽  
pp. 1248-1255
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Support System ◽  
Research Method ◽  
Decision Model ◽  
Financial Assistance ◽  
System Model ◽  
Decision Making Process ◽  
Decision Support Model ◽  
The Government

SMEs in Indonesia are one of the economic drivers of the nation. Its presence and development shows a sizeable contribution to Gross Domestic Income (GDP) each year. With this background, the Indonesian government provides stimulants in the form of financial assistance for the special SMEs for beginner SMEs. The government is encouraging the growth of SMEs by providing assistance to SMEs. During this time the process of determining the provision of assistance is done manually so that it is less effective and efficient. Therefore, the purpose of this study is to make a decision support model for the Ministry of SMEs to provide financial assistance to SMEs. The research method uses AHP and Promethee. Based on the results and discussion produced a Decision Support System model to help the Ministry of SMEs provide financial assistance to SMEs. The conclusion of this study is the suitability of SME ministry staff with the resulting model in the form of ease in the decision making process of providing assistance to SMEs.

scholarly journals Framework for Risk-Based Decision Support on Infiltration and Inflow to Wastewater Systems

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2320
Author(s):  
Anna Ohlin Saletti ◽  
Lars Rosén ◽  
Andreas Lindhe
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Decision Support ◽  
Limited Resources ◽  
General Level ◽  
Decision Making Process ◽  
Decision Support Model ◽  
Piping Systems ◽  
Wastewater Systems ◽  
The Right

Infiltration and inflow (I/I) to wastewater systems cause e.g., flooding, pollution, and the unnecessary use of the limited resources in society. Due to climate change and an increased need for the renewal of piping systems, making the right decisions on how to handle I/I is more important than ever. This paper presents a novel framework for risk-based decision support on I/I based on established theories on risk assessment and decision-making. The framework is presented on a general level and suggests that uncertainties are included in the decision-making process, together with criteria representing the economic, social, and environmental dimensions of sustainability. Published models on I/I and decision support are evaluated based on criteria from the framework showing that (1) the models rarely include risk-based decision-making or uncertainties in the analyses and that (2) most models only include project-internal financial aspects, excluding social and environmental, as well as project-external aspects, of I/I and I/I measures. A need for further research to develop a more holistic decision support model for I/I is identified, and it is concluded that the application of the proposed framework can contribute to more sustainable decisions on how to handle I/I and provide transparency to the process.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU PRODUKTIF PESERTA PELATIHAN ASESOR KOMPETENSI LSP P1 SMK SWASTA DWIWARNA MEDAN MENGGUNAKAN METODE THE EXTENDED PROMETHEE II (EXPROM II)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Dwika Assrani ◽  
Mesran Mesran ◽  
Ronda Deli Sianturi ◽  
Yuhandri Yuhandri ◽  
Akbar Iskandar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multicriteria Analysis ◽  
Professional Certification ◽  
Promethee Ii ◽  
Certification Exams ◽  
The Government ◽  
Alternative Ranking ◽  
The Right

Vocational schools that have been licensed from BNSP to LSP P1 (first party professional certification institute) are schools that have been able to carry out their own competency certification exams for their students and later a competency assessor who will test and declare the eligibility of the students, competency assessors are productive teachers who have participated in and been given training by the government, in that training the schools choose from the number of productive teachers from each department to become competency assessor trainees in accordance with predetermined criteria so a decision support system is needed so there is no gap in the selection of productive teacher assessor training participants, a vocational school that has become a P1 LSP must have a competency assessor and is a requirement to be a P1 LSP. one of the solutions to the problem is the right one by using the Decision Support System (SPK). Decision Support System (DSS) can help the school in making the decision to choose the productive teacher of the appropriate assessor training and improve the efficiency of the decision. The Extended Promethee II (EXPROM II) is a development of the Promethee II method based on the ideal and anti-ideal solution. Promethee II itself is a method of making decisions on the function of preferences with problems through an outranking approach (ranking) or is a multicriteria analysis, comparing one alternative to another and calculating the alternative gap in pairs so as to produce an output that is alternative ranking based on the highest value.Keywords: Competitive Assessor LSP P1, SPK, The Extended Promethee II

scholarly journals Free and Frank Advice and the Official Information Act

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Andrew Kibblewhite ◽  
Peter Boshier
Keyword(s):  
Decision Making ◽  
New Zealand ◽  
Government Agency ◽  
Government Officials ◽  
The Public ◽  
Good Government ◽  
Work Programme ◽  
The Government ◽  
The Right ◽  
Official Information

Concern exists that New Zealand hasn’t struck the right balance between two potentially competing principles of good government: officials should provide free and frank advice to ministers, and the public should have opportunities to participate in decision making and hold the government to account. Steps we have taken to address this include: strengthening constitutional underpinnings for free and frank advice (Cabinet Manual changes and issuing expectations for officials); a work programme to improve government agency practice in relation to the Official Information Act; and the Office of the Ombudsman reducing uncertainty about when advice can be withheld by issuing new principles-based guidance and providing more advisory services.

scholarly journals Rights to Education for Poor Peoples: How The Country Protect Them?

2020 ◽  
Vol 2 (1) ◽  
pp. 29-42
Author(s):  
Luthfi Widyantoko
Keyword(s):  
Educational Development ◽  
National Development ◽  
Access To Education ◽  
Key Factors ◽  
Right To Education ◽  
Equal Distribution ◽  
Classic Problem ◽  
Development Agenda ◽  
The Government ◽  
The Right

This paper discusses the rights of the poor and marginalized in obtaining the right to education as one of the basic human rights. This paper is based on the condition that the urgency of educational development is one of the top priorities in the national development agenda. Educational development is very important because of its significant role in achieving progress in various fields of life: social, economic, political, and cultural. Therefore, the Government is obliged to fulfill the rights of every citizen in obtaining education services in order to improve the quality of life of the Indonesian people as mandated by the 1945 Constitution, which requires the Government to be responsible in educating the life of the nation and creating public welfare. The lack of equal distribution of education in Indonesia is a classic problem which until now there has not been any strategic steps from the government to handle it. This paper confirms that the achievement of the right to education in Indonesia has not been achieved and is motivated by several key factors, among government policies. In addition, human resources and infrastructure are also one of the causes of unequal access to education in Indonesia.

scholarly journals Auxiliary Decision Support Model of Sports Training Based on Association Rules

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Changnian Zhang ◽  
MeiJie Li ◽  
Hui Wang ◽  
Ning Wang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Association Rules ◽  
Human Body ◽  
Movement Trajectory ◽  
Classification Rules ◽  
Sports Training ◽  
Decision Support Model ◽  
Discriminative Ability ◽  
Support Model

In sports or fitness training, nonstandard movements will affect the training effect and even lead to sports injuries. However, the standard movements of various sports activities need professional guidance, so it is difficult to find out whether the movements are standard or not. In recent years, body pose estimation has become a hot topic in computer vision research. A deep learning model can effectively identify the human nodes and movement trajectory in pictures or videos and evaluate the movements of the target human body. However, the movement process is generally covered by others or the situation of nearby personnel, which leads to the deviation of the movement recognition of the human body and affects the evaluation of the movement. Thus, it is unable to effectively correct the wrong movement, but will mislead the training personnel. Therefore, this paper proposes a novel decision support model for sports training based on association rules. We use posterior probability settings to reveal the weights of the discriminative ability of attribute items and set the classification performance to reflect the weights of three measures to evaluate credit contribution. Thus, the learning threshold setting reflects the weight of the decision-making ability of sports training. Furthermore, compared with traditional association rules, attribute items, frequent item sets, and classification rules that can improve the decision-making performance of sports training are discovered, which complement the deficiencies of different measures. Finally, using the weighted voting strategy to fuse the decision-making information of the classification rules, we can effectively assist in sports training so that the coach can work out corresponding countermeasures and realize scientific management.

scholarly journals Role of Teachers’ towards Primary School Children with Exceptional Orientation towards Quality Education based on Statistical Measures using ANOVA Tool

2019 ◽  
Vol 8 (12) ◽  
pp. 824-831
Keyword(s):  
Rural Areas ◽  
Primary Schools ◽  
Quality Education ◽  
Primary School Children ◽  
Quality Teachers ◽  
Statistical Measures ◽  
The Status ◽  
Education In India ◽  
The Government ◽  
The Right

The paper presents the current scenario of education in India and as examined the rural areas of Patna district area becoming nastiest in spite of initiatives taken and expenses made by the government in this regard. This paper used some statistical measures to evaluate the purpose of the right to education, which is not mere providing education but to provide the right to receive an education of good quality to every child. A quality education is maintained by three key columns viz. providing quality teachers, providing quality resources and by providing secure and compassionate atmosphere. Some suggestive measures have been given through this paper which will help in improving the status of education especially in primary schools in our country

Decision Support Software

2009 ◽  
pp. 440-447
Author(s):  
John Wang ◽  
Huanyu Ouyang ◽  
Chandana Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Mathematical Logic ◽  
Decision Support ◽  
Support Systems ◽  
Scientific Methods ◽  
Simulation And Optimization ◽  
Business Software ◽  
The Right ◽  
Support Software

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or individuals need to choose the right software that best fits their requirements and demands. The beginning of business software extends back to the early 1950s. Since the early 1970s, the decision support technologies became the most popular and they evolved most rapidly (Shim, Warkentin, Courtney, Power, Sharda, & Carlsson, 2002). With the existence of decision support systems came the creation of decision support software (DSS). Scientists and computer programmers applied analytical and scientific methods for the development of more sophisticated DSS. They used mathematical models and algorithms from such fields of study as artificial intelligence, mathematical simulation and optimization, and concepts of mathematical logic, and so forth.

scholarly journals Two-Envelope System for Consultant Selection using Weighted Sum Model

2018 ◽  
Vol 7 (4.27) ◽  
pp. 121
Author(s):  
Mohd Faizal Bin Omar ◽  
Bambang Trigunarsyah ◽  
Johnny Wong
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Model Building ◽  
Classical Problem ◽  
Quality Criteria ◽  
Weighted Sum ◽  
Decision Support Model ◽  
User Requirement ◽  
Study Approach ◽  
Technical Department

Consultant Selection is one of a classical problem in Multi Criteria Decision Making (MCDM). Most of the literature in Operation Research only concentrates on model building rather than developing an inclusive analytic tool that extends to a Decision Support System (DSS). In this paper, we deploy a case study approach to understand the user requirement for DSS development. We observe the process of consultant selection and the decision making at one of the technical department which involve in the infrastructure project in Malaysia. A two-envelope system and a simple Weighted Sum Model are currently in use. We demonstrate the abstraction and application based on two case projects. Sensitivity analysis is also performed and the result shows that the decision changed if it is solely based on fees or with minimal quality criteria.  Finally, we gather the findings from the organizational flows, user modelling and decision making process in order to benchmark with our future works. This will helps us to better understand and develop an improved decision support model or tools for consultant selection problem. 

Business Intelligence: How Sport Scientists Can Support Organization Decision Making in Professional Sport

2019 ◽  
Vol 14 (4) ◽  
pp. 544-546 ◽  
Author(s):  
Patrick Ward ◽  
Johann Windt ◽  
Thomas Kempton
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Data Collection ◽  
Business Intelligence ◽  
Professional Sport ◽  
Data Systems ◽  
Decision Support Model ◽  
Systematic Analysis ◽  
Domain Specific ◽  
Specific Expertise

The application of scientific principles to inform practice has become increasingly common in professional sports, with increasing numbers of sport scientists operating in this area. The authors believe that in addition to domain-specific expertise, effective sport scientists working in professional sport should be able to develop systematic analysis frameworks to enhance performance in their organization. Although statistical analysis is critical to this process, it depends on proper data collection, integration, and storage. The purpose of this commentary is to discuss the opportunity for sport-science professionals to contribute beyond their domain-specific expertise and apply these principles in a business-intelligence function to support decision makers across the organization. The decision-support model aims to improve both the efficiency and the effectiveness of decisions and comprises 3 areas: data collection and organization, analytic models to drive insight, and interface and communication of information. In addition to developing frameworks for managing data systems, the authors suggest that sport scientists’ grounding in scientific thinking and statistics positions them to assist in the development of robust decision-making processes across the organization. Furthermore, sport scientists can audit the outcomes of decisions made by the organization. By tracking outcomes, a feedback loop can be established to identify the types of decisions that are being made well and the situations where poor decisions persist. The authors have proposed that sport scientists can contribute to the broader success of professional sporting organizations by promoting decision-support services that incorporate data collection, analysis, and communication.

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