Application of Simple Additive Weighting Method for Determination of Toddler Nutrition Status

In this study, the Best Private Universities in Medan will be discussed with the TOPSIS method (Techniques for Other References with Similarities to Solutions). TOPSIS is one method of Decision Support Systems that is used to accept decisions that have many criteria. The general objective of this study is to use the TOPSIS method which is expected to be able to provide optimal results in determining the best universities. And specific targets of this study can provide estimates or indicators that can be used by Universities in Medan in determining whether the College is the best or not. The criteria used in this study were Institutional, Student Activities, Lecturer HR, Research and Community Service, and Innovation. In the future these criteria can be added according to the needs and requirements provided by the Ministry of Research, Technology and Higher Education. By applying the TOPSIS Method to Decision Supporters in the selection of the Best Private Universities in Medan City can provide optimal results based on the criteria and weighting that has been determined.

Section: Decision Support Systemmentioning

confidence: 99%

Decision Support System For Determining the Best College High Private Using Topsis Method

Lestari

Mardiana

2020

“…According to Faqih and Irrigation (2014), in other words, a Decision Support System is a computer-based information system that produces various alternative decisions to assist management in dealing with various structured problems using data and models (Windarto, 2017). According to Nofriansyah (2014), Decision support systems (DSS) are usually built to support solutions to a problem or to an opportunity (Badrul, Rusdiansyah, & Budihartanti, 2019).…”

Section: B Decision Support Systemmentioning

confidence: 99%

Selection of Outstanding Lecturers with Simple Additive Weighting Method

Wati

Istikharoh²,

Tuslaela

2020

One of the elements in the implementation of Higher Education is a lecturer. Lecturers are academic staff who are tasked with carrying out the Tri Dharma of Higher Education which includes education, research, community service. Lecturers who excel are entitled to be selected and get promotions and awards according to their academic performance. Therefore, we need a calculation method that can be used as a media for performance appraisal of outstanding lecturers who can facilitate assessment. This assessment includes performance appraisal which includes commitment, integrity, service orientation, discipline, cooperation, and leadership. In addition to the criteria, the assessment also includes the Employee Performance Target (SKP) assessment. This Employee Performance Target is in the form of a total assessment of lecturer performance. Two criteria, namely performance and SKP will be used as guidelines in the calculation of the selection of outstanding lecturers. Samples were taken as many as 20 lecturers at the Sriwijaya State Buddhist College in Tangerang. The simple additive weighting method is effectively used in the selection of outstanding lecturers with an assessment limit of more than 0.88. Of the many candidates, there were three lecturers with sufficient performance and SKP, with grades 0.922, 0.88, 0.94. So that the highest achieving lecturer with the highest value is 0.94.

“…Decision support systems are designed to support all stages of decision making ranging from identifying problems, selecting relevant data, and determining the approach used in the decision making process, to evaluating alternative choices (Hidayat, Widiyanto, & Hasim, 2017). Decision making is the result of a selection process of various alternative actions that might be selected with certain mechanisms, with the aim of producing the best decision (Nurjannah et al, 2015) Some characteristics contained in the decision support system are (Badrul, Rusdiansyah, & Budihartanti, 2019) : a. Can support an organization or company in making the decision process.…”

Section: Literatur Review a Decision Support Systemmentioning

confidence: 99%

Simple Additive Weighting for Decision Support Selection of Expedition Services

Janti

Adriansyah

Taufik

2020

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 .