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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
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Search results for , issue "Vol. 9 No. 1 (2020): June: Basic and Applied Science" : 5 Documents clear
Decision Support System Determining Majors at Islam Kader Bangsa Vocational School using the SAW Method Intan Permatasari
International Journal of Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i1.6

Abstract

Decision Support System (DSS) is a computer-based system that can be used to assist someone in improving performance in making decisions. By using SPK, it is hoped that it can help decision making in solving problems to determine majors at the Kader Bangsa Islamic Vocational School. In this study, a decision support system will be developed using a method that can solve the Multiple Attribute Decision Making (MADM) problem which is proven to have very effective performance on data whose values ​​are in the form of a range within a certain value range. The DSS method used in this research is Simple Additive Weighting (SAW). This method determines the weight value for each attribute, which is followed by a ranking process. So that it will produce the best alternative from many alternatives with fairly precise calculations. The alternative is prospective new students at the Kader Bangsa Islamic Vocational School who will be selected based on predetermined criteria.
Employee Acceptance Decision Support System with AHP Method Margaretha Ajeng Purbo Resmi
International Journal of Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i1.7

Abstract

The process of hiring Kanisius Printing Publisher Yogyakarta is the process of getting the best prospective employees from all existing applicants. In the process, applicants must go through several stages of selection, namely administrative tests, written tests, interview tests and medical tests. However, all processes are still done manually. This resulted in the recruitment process takes a long time in determining qualified applicants and in accordance with company criteria. In this research, a software decision-making support system for recruitment of employees is created which functions to help the company make the right decisions in a relatively faster time using the Analytical Hierarchy Process (AHP) method. The AHP method is a superior method for selecting competitive activities or many alternatives based on certain criteria. The main function of this software is to help the company, in this case the HRD section, to get prospective employees who match the criteria needed by the company. This software is implemented using the PHP MySQL programming language.
Credit Decision Support System in Cooperative Fair Ni Ketut Manika
International Journal of Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i1.8

Abstract

The credit distribution system in Cooperative Adil which is still manual, the many criteria used to consider and the number of members who make loans makes the cooperatives (especially managers) overwhelmed to serve their members and the granting process becomes less efficient. To overcome this problem, a Decision Support System for the provision of credit was built, namely a system that helps the cooperative (manager) in the process of granting credit. The system is built using the Delphi 7.0 programming language and the database uses mysql. The system built is used by two parties, namely administrators and managers. From the experimental results of the system that has been built, it can be concluded as follows: the system can provide convenience in obtaining information, the system becomes more selective in providing credit.
Expert System for Identification of Diseases of Toddlers using Bayes' Theorem Method Sandi Manalu
International Journal of Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i1.9

Abstract

The disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about toddlers' illnesses as well as the symptoms experienced frighten parents. Information needs that are very fast from an expert to deal with problems or diseases of children under five expected by parents or the community. So that is what drives the development of a software application, namely the expert system for identification of children under five. An expert system for identification of toddlers is made as a tool to diagnose diseases experienced by children under five by using the symptoms experienced by children under five as a tool to detect diseases experienced by children under five. The system can identify 5 types of diseases with 23 symptoms of the disease. This expert system uses methods for developing problem identification, system design, implementation, and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft access as the database. The results of the consultation with this system indicate that the system is able to determine the disease and treatment solutions and the initial treatment that must be done, based on the symptoms previously chosen by the user.
Expert System for Diagnosing Chicken Diseases using Bayes' Theorem Monica Angriani Br. Simatupang
International Journal of Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i1.10

Abstract

Chicken disease is a condition in which the organs of the chicken farm cannot function normally. To make a diagnosis of the disease requires further examination carried out by specialists (experts). An expert system is a system that uses human knowledge entered into a computer to solve problems that are usually solved by experts. The system created in solving the problem uses the Bayes theorem method where the inference process uses Forward Chaining. The application was developed using the Visual Basic 2010 programming language and MySQL database.

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