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International Journal of Basic and Applied Science
Published by Institute of Computer Science
ISSN : 23018038     EISSN : 27763013     DOI : https://doi.org/10.35335/ijobas
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics
International Journal of Basic and Applied Science provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 8 No. 4 (2020): March: Basic and Applied Science" : 5 Documents clear
Design of a Decision Support System for Performance Appraisal of Civil Servants with a Fuzzy Multi Attribute Decision Making Model M. Syahputra
International Journal of Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v8i4.47

Abstract

In accordance with the regulations that have been determined by the office to obtain a promotion, criteria are needed to determine who will be elected to receive a promotion. Promotions are carried out with the aim of providing feedback on the performance produced by a civil servant during a certain period. To help determine the application of someone who deserves to be promoted to a Decision Support System, the Fuzzy Multi Attribute Decision Making (FMADM) model is used. In this study, a case was raised, namely looking for the best alternative based on predetermined criteria using the Simple Additive Weighting (SAW) method to calculate the FMADM model in this case. The fuzzy used uses a fuzzy system rule, namely fuzzification, inference and defuzzification. The FMADM model was chosen because it is able to select the best alternative from a number of alternatives, namely those who have the right to choose employees to be promoted to their positions according to the specified criteria. The research was conducted by finding the weight value for each attribute, then a ranking process was carried out which would determine the optimal alternative, namely the best civil servant.
Decision Support System for Determining the Level of Employee Salary Increase in CV. Zada Bata Karya, Using the Simple Additive Weighting (SAW) Method Muammar Syahreza
International Journal of Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v8i4.48

Abstract

Employees are seen as one of the important company assets and need to be managed and developed to support the survival and achievement of company goals. One form of organizing employees that can be done by the company is to provide remuneration or appropriate salary payments for employees. Salary increases greatly affect the motivation and productivity of employees in carrying out and completing their work. To determine the amount of salary increase, we need a system that can support decision making by managers. Utilization of a decision support system using the Simple Additive Weighting (SAW) method is very helpful for managers in making decisions that are faster and more accurate. The basic concept of the SAW method is to find the weighted sum of the performance ratings on each alternative and on all attributes that require the normalization process of the decision matrix (X) to a scale that can be compared with all existing alternative ratings. This method was chosen because it is able to select the best alternative from a number of alternatives based on the specified criteria. The research was conducted by finding the weight value for each attribute and then ranking it to determine the optimal alternative.
Decision Support System for the Eligibility of Motorcycle Loans at the Yoyo Showroom Using the Analytical Hierarchy Process (AHP) Method Nuri Latifa Efrata Purba
International Journal of Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v8i4.49

Abstract

This research is about Decision Support System for Motorcycle Credit Eligibility Application at Yoyo Showroom. The method used is Analytical Hierarchy Process (AHP). AHP is applied in determining the Eligibility of applying for Motorcycle loans with the criteria of Personality, Down Payment, Ability, Guarantee, condition. The system was built using the Visual Basic 2008. Net programming language with Microsoft Access 2007 database. The result of the research is the application of a motorcycle loan eligibility decision support system that can assist the leadership in the Yoyo showroom in determining the feasibility of applying for a motorcycle loan.
Decision Support System for Determining Recipients of Rewards (Bonuses) Based on Employee Performance with the Analytical Hierarchy Process (AHP) Method (Case Study: PT.BPR Perbaungan Hombar Makmur) Maju Manurung
International Journal of Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v8i4.50

Abstract

The use of science and technology develops very quickly an produces new innovations that must be balanced with the ability to adapt to the technology. One of them is a decision support system that can assist in making decisions. Decision support system as a set of integrated computer tools that allow decision makers to interact directly with the computer. To create the information that is useful in making unanticipated semi structured and unstructured decisions. Rewards are received once a year, and usually employees get it in December, but there are often some problems in finding the employees who work diligently and responsible with their work. Decision support system is part of a computer based on information system commonly use to support decision making in an organization or company.
Decision Support System for Determining the Level of Employee Salary Increase Based on Performance at PT. Mark Dynamics Indonesia.tbk by Using the Simple Additive Weighting (SAW) Method Nanda Aprilia Batubara
International Journal of Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v8i4.51

Abstract

Employees viewed as by one of important company assets and require to be managed is and also developed to support the continuity of life and attainment of company target. One of form of employees organizing which can be done by company is give the recompensation or appropriate salary payment for employees. Increase employ very influencing of motivation and employees productivity in executing and finishing its work. To determine big of increase employ, needed by a system which can support the decision making conducted by manager. Exploiting of System of decision supporter by using method of Simple additive Weighting ( SAW) very assistive manager in conducting accurate and quicker decision making. Elementary concept of method SAW is look for the wight quantifying from rating performance in each alternative and at all of attribute requiring process of normalization of decision matrix ( X) to an scale which can be compared to by all existing rating alternative. This method is selected by because it is able to select the best alternative from a number of existing alternative pursuant to determined criterion. Research conducted with searching wight value to each; every attribute is later; then conducted by ranking to determine the optimal alternative.

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