International Journal of Basic and Applied Science
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.
Articles
119 Documents
Employee Determination Decision Support System at Pt. Pos Indonesia in Medan using the TOPSIS Method (Case Study: Mail Processing Center Office)
Suryani Sianipar
International Journal of Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science
Publisher : Institute of Computer Science
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DOI: 10.35335/ijobas.v8i3.42
TOPSIS method is widely used to solve practical decision problems. the concept is simple and easy to understand, computationally efficient and has the ability to measure the relative performance of decision alternatives in a simple mathematical form. in this case the alternative in question is the determination of the right employees to run as a consideration that the company can improve based on the criteria of employees at PT. Pos Indonesia Medan. With this method, it is hoped that the assessment will be more precise because it is based on the criteria and weights that have been determined so that it will get more accurate results for the determination of employees to be carried out. This thesis will describe the decision support system for determining employees at PT.
Decision Support System for Determining Homeroom Teachers in Musda Perbaungan Private Vocational Schools Using the Simple Additive Weighting Method
Ravyson Purba
International Journal of Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science
Publisher : Institute of Computer Science
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DOI: 10.35335/ijobas.v8i3.43
This research is based on observations, the MUSDA Perbaungan Private Vocational School is one of the vocational schools that cannot be separated from the struggle of the Regional Government of Serdang Bedagai Regency which is located in Tualang. MUSDA Perbaungan Private Vocational School has majors in Computer Network Engineering, Software Engineering, Light Vehicle Engineering, Motorcycle Engineering, and Mechanical Engineering with a total number of 45 teachers. Making a decision support system for determining homeroom teachers is very much needed by the MUSDA Perbaungan Private Vocational School. This system will make it easier to determine homeroom teachers, and also this system can help evaluate teacher performance systems that are lacking in performance standards in general. Thus, a decision support system using the Simple Additive Weighting (SAW) method is suitable to be developed in this system. This system will make it easier to find and determine teachers who are worthy of being homeroom teachers and will speed up the calculation of assessments and attributes to determine teachers who are worthy of being homeroom teachers. The Simple Additive Weighting method can be used as a method in making applications in decision making. Simple Additive Weighting uses a value ordering system in determining attribute ratings, where the rating of each attribute is summed with the weight of the attribute in question. The Simple Additive Weighting method is often also known as the weighted addition method. The basic concept of the Simple Additive Weighting method is to find the weighted sum of the performance ratings for each alternative on all attributes.
Decision Support System for Determining the Level of Employee Salary Increase in CV. Hera Citra Abadi by Using the Simple Additive Weghtting (SAW) Method
Suryatmo Sijabat
International Journal of Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science
Publisher : Institute of Computer Science
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DOI: 10.35335/ijobas.v8i3.44
In accordance with the regulations determined by the office to obtain a promotion, criteria are needed to determine who will be elected to receive promotion. Job promotion is carried out with the aim of providing feedback on the performance produced by a civil servant for a certain period. To help determine in applying someone who deserves to be promoted his position for Decision Support Systems is to use the Fuzzy Multi Attribute Decision Making (FMADM) model. 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 that case. Fuzzy is used using a fuzzy system rule that is fuzzification, inference and deffuzification. This FMADM model was chosen because it is able to select the best alternative from a number of intended alternatives, namely those who have the right to choose employees to be promoted in accordance with the specified criteria. The research was conducted by looking for weight values for each attribute, then a ranking process was carried out that would determine the optimal alternative, namely the best civil servants.
Decision Making System for Preparation of Village Annual Work Plans and Budgets Using the AHP Method
Jenerivani Katarina Br Ginting
International Journal of Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science
Publisher : Institute of Computer Science
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DOI: 10.35335/ijobas.v8i3.45
This research is a Decision Making System for the preparation of work plans and annual village budget with the AHP method. The AHP method is used for the preparation of the work plan and annual village budget which is determined based on the criteria of time, funds, jlh / vol in determining the best alternative. This Decision Making System was built with the Visual Studio 2010 application as a tool in the preparation of the annual village work plan and budget and using MYSQL as a database. The outcome of the Decision Making System is the Taking System. Decision on the preparation of the work plan and the annual village budget helps the village apparatus in submitting the work plan and annual village budget.
Teacher Performance Assessment Decision Support System Using Topsis Method
Yogi Kurnia
International Journal of Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science
Publisher : Institute of Computer Science
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DOI: 10.35335/ijobas.v8i3.46
Decision Support System is a means of assisting in making decisions accurately, and quickly. In the Decision Support System, several methods can be applied including the TOPSIS method. The TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) method is a multi-criteria decision-making method or alternative choice which is the alternative that has the smallest distance from the positive ideal solution and the largest distance from the negative ideal solution from a geometric point of view using Euclidean distance. The results of the TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) method based on data and criteria determined by the Deli Serdang Education Office, an assessment was made of teacher performance at SD Negeri 105336 Rantau Panjang.
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
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DOI: 10.35335/ijobas.v8i4.47
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
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DOI: 10.35335/ijobas.v8i4.48
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
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DOI: 10.35335/ijobas.v8i4.49
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
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DOI: 10.35335/ijobas.v8i4.50
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
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DOI: 10.35335/ijobas.v8i4.51
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.