A Determination of The Best Employees using Simple Additive Weighting (SAW) Method

Retnasari, Tri; Prihatin, Titin; Fikri, Muhammad

doi:10.33395/sinkron.v4i1.10169

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…In his research (Prihatin, Retnasari, & Fikri, 2019) it can be concluded that PT. Buana Estate Bukit Hambalang Villa Agrowisata in making decisions in choosing its best employees using Simple Additive Weighting (SAW).…”

Section: Introductionmentioning

confidence: 92%

Simple Additive Weighting for Decision Support Selection of Expedition Services

Janti

Adriansyah

Taufik

2020

SinkrOn

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Freight forwarding services are increasingly developing and each delivery service provider competes to provide the best service, resulting in competition in terms of price and delivery time, in order to attract the attention of users of shipping services. The number of service providers with various types of packages offered by freight forwarding services, making users difficult in determining the right service provider. One way to overcome this problem is by the existence of a method that can provide recommendations as consideration for making appropriate decisions. This study aims to create a decision support system for the selection of goods delivery services by applying the Simple Additive Weighting method that can solve problems by comparing between shipping services. The results of this study are in the form of conclusion calculations that can be taken into consideration for decision making in choosing the most widely chosen freight forwarding services for students and getting the best results in decision making. The results of calculations using the Simple Additive Weighting method, the highest value based on time criteria is JNE YES with a value of 0.73, based on price criteria is a vehicle with a value of 0.68, based on the weight criteria is JNE YES with a value of 0.75, while based on the volume criteria the highest value is a vehicle with a value of 0.70 .

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Section: Introductionmentioning

confidence: 92%

Simple Additive Weighting for Decision Support Selection of Expedition Services

Janti

Adriansyah

Taufik

2020

SinkrOn

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“…The Simple Additive Weighting (SAW) method is one of the methods in decision support systems [7] describing that method has the basic concept of using Simple Additive Weighing by finding the weighted sum of the rankings of each alternative on all attributes. According to [8] solving the selection problem in multi-process decision making which has many attributes is recommended to be solved using the Simple Additive Weighting (SAW) method.…”

Section: Introductionmentioning

confidence: 99%

CPU and eGPU Support System Based on Naive Bayes Classification

Ardiansyah¹,

Hidayat²,

Utami³

et al. 2021

Indonesian J. Comput. Cybern. Syst.

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Central Processing Unit (CPU) and External Graphics Processing Unit (eGPU) technology are known as overclocks which aim to make the device exceed the benchmarks set by the device maker. Until now there is no determination to rank the two hardware within certain limits such as hardware price range and year-by-year. Therefore, it is necessary to process the ranking of the hardware using Simple Additive Weighting (SAW) to obtain a ranking range and determine the weight per type of hardware analyzed. It can be classified using Naïve Bayes to determine results of criteria combination between two hardware to determine possible criteria into "not good" and "good". This classification used to determine probability criteria of choosing a combination of CPU and eGPU hardware. The results of this study are getting the best CPU and eGPU every year using SAW and then classifying it for pricing. In testing conducted on application of Naïve Bayes using 80% of training data has 2776 data and 20% of testing data has 695 data that will be tested for accuracy, precision, recall, and F1-score. For results of tests that have been carried out get 0.78 accuracy results, precision 1, Recall 0.764, and F1-Score 0.866.

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Decision Support System For Determining Exemplary Students Using SAW Method

Sudradjat

Destiana

Sefenizka

2020

SinkrOn

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In order to motivate students to continue to excel, MTs Al Falah undertakes activities to develop students' potential through determining exemplary students. However, the decision to determine exemplary students is not based on academic and non-academic abilities, but on the subjectivity of the principal and teachers. So that many complain about the decision of the selection of exemplary students who are not well targeted or deserve to be exemplary students. There is no information system that supports the determination of exemplary students on MTs Al Falah, It is less precise in determining the exemplary students on MTs Al Falah, decision support systems in Determination of the Exemplary Students using the Simple Additive Weighting (SAW) method is based on 5 criteria, namely the value of knowledge, the value of skills, class rank, extracurricular activity, extracurricular values. The results obtained will be in the form of exemplary student rankings. Then the student who gets the highest score in five categories with a percentage of 0.97 is Afifah Angelia Azhariyanti. The Simple Additive Weight method can help the school especially in determining a number of issues regarding education, one of which is to determine exemplary students. Because this method is a weighted method of rating the performance of each alternative.

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A Determination of The Best Employees using Simple Additive Weighting (SAW) Method

Cited by 3 publications

References 2 publications

Simple Additive Weighting for Decision Support Selection of Expedition Services

Simple Additive Weighting for Decision Support Selection of Expedition Services

CPU and eGPU Support System Based on Naive Bayes Classification

Decision Support System For Determining Exemplary Students Using SAW Method

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