Research of Simple Multi-Attribute Rating Technique for Decision Support

Siregar, Dodi; Arisandi, Diki; Usman, Ari; Irwan, Dedy; Rahim, Robbi

doi:10.1088/1742-6596/930/1/012015

Cited by 74 publications

(54 citation statements)

References 5 publications

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“…The Simple Additive Weighting Method (SAW) and the Weight Product Model (WPM) method is part of a decision-making system using multi-parameter criteria with a multiple attribute decision making (MADM) approach [38]. MADM describes the parameters/criteria that will be used to determine the best alternative based on several appropriate criteria, the characteristics of decision making using the MADM system will describe the attribute requirements in the spatial analysis process, make the decision weight from the data that has been described Table 1 to form a decision matrix produced [37,39,40].…”

Section: Multiple Attribute Decision Making (Madm)mentioning

confidence: 99%

Spatial Data Modeling on GIS for Classification of Measles-prone Region Using Multiple Attribute Decision Making

Vitianingsih¹,

Choiron²,

Cahyono³

et al. 2019

IJIES

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Indonesia is a country that has a tropical climate, so that many typical tropical climate diseases emerge. This disease is caused by viruses and parasites that breed during the dry season or the rainy season. One typical tropical disease is measles. This paper discusses the geographical information system (GIS) technology by analyzing spatial data modeling to determine the classification of measles-prone areas based on immunization status coverage using the Simple Additive Weighting (SAW) and Weight Product Model (WPM) method. Some parameters are used consist of immunization status data for multiple attribute decision making (MADM), diseases preventable by immunization (PD3I), epidemic and nutritional status of infants. The SAW and WPM method in modeling spatial data analysis processes data according to the parameters to determine the scale in comparing all alternative data on the scope of classification of immunization status areas, namely: good, average, fair and poor. The test results with the Cohen's Kappa Method Consistency Test (MCT) is obtained an average coefficient of 0.41 for consistent measurements for the chosen method. It can be concluded that the two measurements using the SAW and WPM methods have a moderate for the strength of agreement category, for using in spatial data modeling on the GIS for classification of measles prone regions using MADM.

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Section: Multiple Attribute Decision Making (Madm)mentioning

confidence: 99%

Spatial Data Modeling on GIS for Classification of Measles-prone Region Using Multiple Attribute Decision Making

Vitianingsih¹,

Choiron²,

Cahyono³

et al. 2019

IJIES

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“…Decision support systems are systems that provide solution support from semi-structured and structured problems, DSS supports multiple levels, for individuals and groups alike. [6]- [8]. The system is used to assist decision making in semi-structured situations and unstructured situations, where no one knows exactly how decisions should be made.…”

Section: Decision Support Systemmentioning

confidence: 99%

Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection

Indahingwati¹,

Wajdi²,

Susilo³

et al. 2018

IJET

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Decision Support System is an interactive system that supports decision in the decision-making process through alternatives derived from the processing of data, information and design of the models. Selection decision support system of chemical fertilizer in fruit plant is expected to help anyone who wants to cultivate fruit trees can determine the chemical fertilizer as expected based alternatives and criteria set by the user. In this research method used is TOPSIS Method and Method of Fuzzy Logic. TOPSIS method is one of multiple criteria decision making method that uses the principle that the alternatives selected must have the shortest distance. Fuzzy Logic is a methodology of control systems troubleshooting, the fuzzy logic stated that everything is a binary which means it is only two possibilities, "Yes or No", "True or False", "Good or Bad", and others. Therefore, all of these can have a membership value of 0 or 1.

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“…Decision support system (DSS) [8]- [10] in the world of computerization is overgrowing, with this system humans can obtain information in support of the decision. There are several stages in the decision support system that define the problem, the collection of relevant and appropriate data, data processing into information (searching process) [11]- [18], and determine alternative solutions.…”

Section: Introductionmentioning

confidence: 99%

Decision Support Rating System with Analytical Hierarchy Process Method

Nasution¹,

Rossanty²,

Gs³

et al. 2018

IJET

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Human resources within a company's organization are significant to support the progress and quality of the company in achieving the goal. However, to achieve it all of these employees must have other supporting factors such as endurance, diligence, and accuracy or other skills. These factors can manage a system that can help to make decisions. One of the methods that can be used for decision support system is by using AHP (Analytical Hierarchy Process) method, this method is chosen because it can select the best alternative from a number of alternatives that is entitled to get the promotion and value of employee performance expected by company based on criteria which are determined. The result of the implementation process can sort the alternatives from the most considerable value to the smallest value.

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Research of Simple Multi-Attribute Rating Technique for Decision Support

Cited by 74 publications

References 5 publications

Spatial Data Modeling on GIS for Classification of Measles-prone Region Using Multiple Attribute Decision Making

Spatial Data Modeling on GIS for Classification of Measles-prone Region Using Multiple Attribute Decision Making

Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection

Decision Support Rating System with Analytical Hierarchy Process Method

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