Using Multi-Attribute Decision-Making (MADM)
STUDENT PAPER
By Zavier Naafi Rahmansyah
Jakarta, Indonesia
“He who fails to plan is planning to fail.” – Winston Churchill.
ABSTRACT
Selecting universities that can help us thrive is not an easy task. Some people managed to use the opportunity very well. However, others are not fortunate in the end. Because of that, it is crucial to consider some factors from each university we might get into. This research shows how to use Multi-Attribute Decision Making (MADM) to pick a university that would fit students the most theoretically. It would also show how we can differentiate universities numerically. MADM allows users to compare qualitative and quantitative data using compensatory and non-compensatory approaches. The conclusion states that MADM is one of the best ways that we can use to prevent later regrets in choosing the university. This research can be expanded by applying other feasible attributes or expanding the use of MADM in other problems.
Keywords: Best Universities, High School student, Data Analysis, Decision Making, Problem-Solving, and How to find a good university.
INTRODUCTION
Choosing the university that fits us can be one of life’s most exciting yet challenging parts. While some students are lucky enough to find that their university satisfies their expectations, others regret their choice. Research conducted on 1453 students before and after they started college[1] suggested that about 50% of them chose to attend a college of “lesser” academic esteem relative to their high school. On average, 27% of these students had lower self-esteem and were threatened by depression.
Students often choose colleges based on a factor such as academic reputation or the rank of the university through particular ranking institutions. However, not considering simple factors such as the cost of attendance or how safe the place could affect students’ behavior and increase their pressure to complete the path they are pursuing. It is essential to consider as many factors as possible before students choose which university to apply to. Based on this problem, a methodology is needed to create an organization of data, which could help students select a university.
The Multi-Attribute Decision Making (MADM), also known as Analytical Hierarchy Method (AHP), is a tool that perfectly combines pure quantitative data with almost purely qualitative models used in the logical framework. This method has been proven to be practiced in business areas. We can also use this methodology to select which university would suit us. By using the MADM, we could identify and compare the attributes of each university we are interested in attending.
Some critical factors must be considered when applying this method to compare universities. The first is to question why we should use the approaches step by step to create the best decision. The second is to understand how vital the differences in factors are in the decision-making process. The last is to identify attributes that are not comparable but are equally important in the decision. The questions will be answered in the conclusion.
METHODOLOGY
There are six approaches to making a choice using Multi-Attribute Decision Making[2]. 4 of them are non-compensatory (full-dimensioned), and others are parts of the compensatory (single-dimensional) decision-making models:
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How to cite this paper: Rahmansyah, Z (2023). “Project Managing” Your Best-Choice University Using Multi-Attribute Decision-Making (MADM), student paper; PM World Journal, Vol. XII, Issue II, February. Available online at https://pmworldlibrary.net/wp-content/uploads/2023/02/pmwj126-Feb2023-Rahmansyah-project-managing-your-best-choice-university.pdf
About the Author
Zavier Naafi Rahmansyah
Jakarta, Indonesia
Zavier Naafi Rahmansyah is a high school student interested in pursuing knowledge of technology and integrated science. Attending his high school at Sekolah Highscope Indonesia during the pandemic, his chosen path has forged him to be a thriving student who understands his value, strengths and weaknesses, and surroundings. Zavier participated in this research in response to an invitation from Dr. Paul D. Giammalvo, CDT, CCE, MScPM, GPM-m Senior Technical Advisor, PT Mitrata Citragraha, to prove his data analysis skills, skills that are essential in the 21st century. Zavier can be contacted at zavier.135937@sch.highscope.or.id
[1] Hess, A. J. April 30 2018. Study finds that picking the wrong college can make you depressed—here’s why.
[2] 1.4.1.12 Unit 12- Managing Change – PTMC