Simple Multi Attribute Rating Technique Method Research Articles

IMPLEMENTATION OF THE SMART METHOD IN THE DECISION SUPPORT SYSTEM FOR PENALTY RECOMMENDATIONS

Sanctions need to be given to students who do not obey school rules, and the purpose is to establish student discipline and ethics. SMK Gazza Wiguna 1 Megamendung Bogor district also imposes sanctions for students who violate the rules of conduct. The problem is that determining the violation point has not been done objectively. To overcome this, applying the Simple Multi-Attribute Rating Technique Method (SMART) method to the decision support system to determine recommendations for sanctions for students who commit violations. This system is designed to use UML tools and is built on a web basis. The system uses an alternative oral warning, first warning letter, second warning letter, third warning letter, and returned to parents (DO). The criteria include violation of school uniforms, tidiness, discipline, cleanliness, order, hospitality, commemorating national holidays, and additional provisions. The type of criteria used is the cost criteria because it is expected that students do not violate school rules; if students commit violations, it is hoped that students do not commit serious transgressions.

A conceptual model of decision-making support of thevolunteer team in conditions of dynamic changes

The paper examines the problem of decision-making by a team of volunteers in transport logistics tasks under conditions of dynamic changes in the external environment. Transport logistics is a system of organizing cargo delivery to the place of need along a certain route. The task of transport logistics, during dynamic changes in the external environment, is a task of multi-criteria selection due to consideration of various criteria. Solving the problems of transport logistics requires the construction of aconceptual model of decision-making support, regarding the choice of the best route, taking into account all the factors that influence decision-making, and the choice of the decision-making method. The multi-criteria decision-making methodswhich are used in the transport sector are analyzed. A conceptual model of decision-making support for choosing the optimal route in the transport logistics problem is proposed. Verification of the proposed model was carried out, for which the task of choosing the bestroute of cargo transportation in the transport logistics problem was set and solved. When finding a solution, the multi-criteria decision-making methods were used: Analytic Hierarchy Process method, Multiplicative Analytic Hierarchy Process method, SimpleMulti-Attribute Rating Technique method, improved Simple Multi-Attribute Rating Technique method. The criteria used to evaluate alternative routes for cargo transportation were identified based on volunteer surveys. In order to evaluate the alternatives according to the established criteria, volunteer experts were involved, since during dynamic changes in the conditions of cargo transportation, the involvement of professional experts is a difficult task. To establish the reliability of the evaluations of alternatives according to the criteria obtained from volunteer experts, the Kendall and Spearman correlation coefficients were calculated. Analytic Hierarchy Process method, Multiplicative Analytic Hierarchy Process method, and the improved Simple Multi-Attribute Rating Technique method are found to provide the most reliable results, but the Analytic Hierarchy Process method and Multiplicative Analytic Hierarchy Process methods are more time-consuming during data inputthan the improved Smart method

Decision Support System Using Simple Multi-Attribute Rating Technique Method in Determining Eligibility of Assistance

Determining the viability of establishing business support for small and medium companies (UKM) is one of the activities that must be assessed carefully and selectively based on the existing evaluation at the Medan City Cooperatives and UKM Office. It is hoped that as a result of this, adequate outcomes for business development help for small and medium companies (UKM) to get assistance funding in business development can be obtained. The solution to the aforementioned issues is to construct a decision support system to aid in determining the feasibility of UKM development assistance. Smart (Simple Multi-Attribute Rating Technique) was chosen to facilitate the aforementioned problem solution by assigning weight to each choice. This decision support system demonstrates how improvements in science and technology may help the Medan City Cooperatives and UKM Office determine the feasibility of village development assistance for the right choice of SMEs based on the proper factors and calculations

Decision Support System for Service Quality Using SMART and Fuzzy ServQual Methods

The Regional Technical Implementation Unit of the Tresna Werdha Social Home for the Elderly of Natar South Lampung does not yet have a systematic calculation, which can be a parameter of the quality level of each service. This study develops a system to solve the problem of the calculation gap between perceptions and expectations in determining the quality level of each service, namely the Decision Support System using the Simple Multi-Attribute Rating Technique Method (SMART) and Fuzzy Service Quality. The results showed that the SMART method obtained an accuracy rate of 85.71%, 75.00% Precision, 100% Recall, and 100% Specificity, while the Fuzzy Service Quality method obtained an accuracy rate of 71.43%, 66.67% Precision, 66.67% Recall, and 75.00% Specificity. So that the Simple Multi-Attribute Rating Technique Method (SMART Method) is superior, so it is more appropriate to solve the problem of decision-making on the level of service quality at the Regional Technical Implementation Unit of the Tresna Werdha Elderly Social Home, Natar South Lampung.

Implementation of the Simple Multi Attribute Rating Technique Method (SMART) in Determining Toddler Growth

Toddler nutritional status is an important factor in efforts to reduce child mortality. The development of community nutrition can be monitored through the results of recording and reporting of community nutrition improvement programs reflected in the results of weighing infants and toddlers every month at the Pos Pelayanan Terpadu (Posyandu/ Integrated Service Post) , where these efforts aim to maintain and improve health and prevent and cope with the emergence of public health problems, especially aimed at toddlers. However, in carrying out the health service activities of Medical Officers, faced with an important problem that is still difficult in providing information related to the results of monitoring the growth and development of infants, because information on growth and development of infants owned is obtained from the data collection done manually such as; make records and calculations to find out the condition of a toddler declared good, less, or bad. Implementation of the SMART method in Toddler's growth and development, this method can be used based on the weights and criteria that have been determined. The criteria used are based on the Anthropometric index assessment criteria. The results of the analysis are the results of ranking the greatest value to be used as the material in the decision-making process.

Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method

Employees are one of the resources used as a means of movement in promoting a company. Employee performance is highly influential on the profits obtained by the company. Therefore, to stimulate employee performance in selecting outstanding employees each period by providing additional bonuses or salaries for selected employees. However, because the process of evaluating and selecting outstanding employees carried out by managers of Human Resource Development (HRD) still uses a conventional system and takes a lot of time, so a decision support system is needed to evaluate the performance of HRD managers to be more effective and efficient while saving time and energy compared to the current system. For this reason, the author proposes a decision support system and was used to determine outstanding employee by using the simple multi-attribute rating technique (SMART) method. The Decision Support System Application applies the SMART method to help decision maker to determinate the outstanding employee and based on the table above, it was concluded that the employee recommended as an outstanding employee is employee C with the highest final score of 66.20.