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

Abstract

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.

Naïve Bayes and SMART Metods to Determine Toddler Development and Status

“…Each alternative consists of a set of attributes, and each attribute has an average value with a certain scale. Each attribute has a weight to be used as a benchmark in determining an alternative that is considered the best for a particular problem [11] [4].…”

“…Calculation Concept Each criterion is given a value and weight or has a value and weight to be used as a benchmark in determining an alternative that is best assessed on a particular problem [4].…”

“…The existence of classification and ranking in decision making can determine the quality of the data which is an important factor in the success of forecasting [1][2] [3]. The application of the Simple Multi Attribute Rating Technique (SMART) method can be used to rank the growth and development of toddlers, nutritional status of toddlers, student assessments and assessment of vulnerability to BLAST based on predetermined weights and criteria [4][5][6] [7]. While the Naïve Bayes (NB) method can be used to classify tweet feeds into negative or positive polarity classes, but still has low accuracy.…”

Permanent Employee Assessment Decision Support System using the Simple Multi Attribute Rating Technique (SMART) Method

“…Borissova et al used SMART to develop E-Learning tools in decisionmaking systems, which, according to him, are very dynamic and require quantitative methods based on one-factor regression analysis [11]. SMART, which can be applied to many cases of this decision making system, was then used by Wahana et al to determine the growth of toddlers [12], used by Sihombing et al and Setiawan et al to determine the level of employee Key Performance Index [13], [14], used by Mahdiana et al and Putra et al to determine the best teachers based on achievements [15], [16], even used by Tangkesalu to determine the ranking of the best startup businesses [17].…”

Implementation of the Smart Method in the Decision Support System for Penalty Recommendations

“…Weighting assesses each alternative to obtain the best alternative [10]. Another study used the SMART method to determine toddlers' growth and skinning criteria [11]. SMART method Determining the quality of clothing materials following consumer demands, consumers give the value professionally [12].…”