scholarly journals Application of SMART Methods (Simple Multi-Attribute Rating Technique) In the Decision Support System for the Provision of People's Business Loans At Bank Sumut (Case Study: KCP Pasar Martubung)

Author(s):  
Romindo Romindo ◽  
Siti Hardianti

Bank SUMUT KCP Pasar Martubung in the provision of People's Business Credit (KUR) and the subject of this research is the People's Business Credit Account (KUR), which amounts to one person. The high interest of the community in obtaining KUR made it difficult for Bank SUMUT to determine who was entitled to receive KUR. In the process of determining the eligibility of previous KUR recipients, the method of comparison between monthly income and monthly needs is still using the manual method. This method is considered to be still simple, this is due to dependence on one indicator that causes bad credit. To overcome this problem, a decision support system is needed with the SMART Multi Attribute Ranking Technique which can assist in the provision of KUR to the community that meets the criteria in the provision of KUR

Author(s):  
Poningsih Poningsih ◽  
Sundari Retno Andani

STIKOM Tunas Bangsa give facility to some students in tuition payment to the underprivileged students in economic but they achieve. For the convenience, it must suitable with applicable criteria established by the Institution. Because of the large number of students who apply for the tuition free dispensation was very much, it is necessary to build a decision support system to give a decision or recommendation associated with the tuition payment dispensation. This decision support system use fuzzy logic that will help STIKOM Tunas Bangsa Institution in determining who is eligible to receive a tuition free dispensation as well as a large percentage of tuition free delays. The criteria that established in this case study was the large of parents income, the number of parental dependent, the number of sibling. Not all who apply for dispensation will be accepted, but only those who meet the criteria will be accepted.


2020 ◽  
Vol 3 (1) ◽  
pp. 15-20
Author(s):  
Pramitha Dwi Larasati ◽  
Ari Irawan

In the selection of acceptance of lecturers at a university can be done when the selected applicants have a good competence in accordance with they’re background because this can affect the teaching service. Lecturers who have good competence has the ability for understanding the subject matter that in line with the background, extensive pieces of knowledge, be able to speak English both oral and written and be able to provide a positive example and teaching methods that are easily understood by students. This can provide a good image for the university because the selected lecturers have a good potential. To help determine the acceptance of lecturers then we needed a decision support system. One method that can be used for Decision Support System is using Simple  Additive Weighting (SAW). This method is chosen because it is able to select the best alternative from a number of alternatives, in this case, the intended alternative is to determine the acceptance of lecturers


2021 ◽  
Author(s):  
Chawis Boonmee ◽  
Nirand Pisutha-Arnond ◽  
Wichai Chattinnawat ◽  
Pooriwat Muangwong ◽  
Wannapha Nobnop ◽  
...  

2017 ◽  
Vol 20 (1) ◽  
pp. 19-22
Author(s):  
Róbert Galamboš ◽  
Jana Galambošová ◽  
Vladimír Rataj ◽  
Miroslav Kavka

Abstract Presented paper deals with the topic of preventive maintenance. A decision support system was designed, incorporating historical as well as forecast information to calculate the time remaining to preventive maintenance. The designed system optimizes maintenance costs without any further investment and running costs. An algorithm of the designed system is introduced and a case study of its implementation is described in the paper.


Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.


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