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Decision Support System Feasibility for Promotion using the Profile Matching Method Dyah Ayu Megawaty; Andris Silitonga
Journal of Data Science and Information Systems Vol. 1 No. 2 (2023): Volume 1 Number 2 May 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i2.36

Abstract

Human Resources (HR) is an important element in companies and agencies. In companies like PT. Petrogas Sinta Energi, with fairly good economic growth and being able to compete with other companies, a system is needed to evaluate each employee to fill a position. Decision Making System (DSS) Determination of job eligibility using the profile matching method by utilizing two aspects, namely the Aspect of Work Attitude and the Intellectual Aspect can assist the Company in measuring the eligibility of an employee to occupy a position. Technology or Website-based Decision Support Systems (DSS) can speed up and simplify the determination of employee eligibility assessments as well as computerized data that can be accessed online. The results of calculations using the profile matching method, the results of the decision support system on behalf of Asep with a value of 4.55 are obtained which are selected in rank 1.
Multi-Attribute Decision Making Seleksi Kandidat Ketua OSIS Menggunakan Metode SMART Chyntia Adelia Valentina Haris; Yesi Meliyana; Erna Novita; Dyah Ayu Megawaty
Journal of Data Science and Information Systems Vol. 1 No. 4 (2023): Volume 1 Number 4 November 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i4.80

Abstract

The selection process for candidates for Student Council President (Intra-School Student Organization) often involves various problems that need to be considered and overcome. There is a risk of non-objectivity in the assessment of candidates, either from the part of the selection committee or from the selection participants themselves. The purpose of this study is to apply the Simple Multi-Attribute Rating Technique (SMART) method in the selection of Student Council President candidates by the student affairs department before voting by students. The ranking results of candidates for student council president recommended 1st place with a final score of 0.738 with the name of the prospective candidate, Janice Lie, and 2nd place with a final score of 0.643 with the name of the prospective candidate, Branden Riski Dwi Kurniawan. Based on the application of the SMART method, 2 candidates for student council president are Janice Lie, and Branden Riski Dwi Kurniawan to carry out the next process in voting for the student council president election by the school students.
Design and Development of Lecture Planning System in Informatics Study Program Dyah Ayu Megawaty; Delsa Diana Saputri
Journal of Information Technology, Software Engineering and Computer Science Vol. 1 No. 2 (2023): Volume 1 Number 2 April 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v1i1.31

Abstract

In everyday life, the existence of the internet is increasingly becoming an important part, including for students. Students can easily find information via the internet, but the function of the internet is not only that, especially for students, one of which is to arrange schedules, and find out grade information online. Strategy greatly influences students in undergoing lectures, it can even affect student achievement and graduation time. Therefore, this research produces a system for managing student strategies in lectures, for example scheduling lectures. The system developed is the Lecture Planning System. The development model used in this study is a procedural model in the form of the Extreme Programming (XP) application development methodology. Extreme Programming includes planning and analysis, so it is very helpful in determining learning and planning strategies. The results of the test obtained a score of 100% which indicates that this lecture planning application system is very feasible to use.
Combination of Response to Criteria Weighting Method and Multi-Attribute Utility Theory in the Decision Support System for the Best Supplier Selection Faruk Ulum; Junhai Wang; Dyah Ayu Megawaty; Ari Sulistiyawati; Riska Aryanti; Sumanto Sumanto; Setiawansyah Setiawansyah
J-INTECH ( Journal of Information and Technology) Vol 13 No 01 (2025): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v13i01.1810

Abstract

Choosing the right supplier is a strategic factor in supporting operational efficiency and a company's competitive advantage. This process requires a decision support system that is able to assess various alternatives objectively and in a structured manner. This study aims to develop a decision support system in the selection of the best supplier by combining the Response to Criteria Weighting (RECA) and Multi-Attribute Utility Theory (MAUT) methods. The RECA method is used to objectively determine the weight of each criterion based on the variation of data between alternatives, so as to reduce subjectivity in the weighting process. Meanwhile, the MAUT method functions to calculate the total utility value of each supplier based on the normalization value and weight that has been obtained. The results of the RECA method show the objective weight of each criterion, which is then used in the MAUT calculation process. The results of the analysis, obtained in the best supplier selection based on the total score of each candidate, it can be seen that PT Global Niaga Mandiri ranks first with the highest score of 0.6512, this shows that this company is the best choice in the supplier selection process. In second place is UD Anugrah Bersama with a score of 0.399, followed by PT Indo Logistik Prima in third place with a score of 0.3451. The combination of the RECA and MAUT methods has been proven to be able to produce accurate, rational, and accountable decisions. This system provides a measurable approach in filtering supplier alternatives efficiently and is relevant to be applied to various other multi-criteria decision-making contexts.