ANALYTICAL HIERARCHY PROCESS BASED ARTIFICIAL INTELLIGENCE TO OVERCOME POSTPONING REALITY PHENOMENON IN SOCIETY 5.0

 ANALYTICAL HIERARCHY PROCESS BASED ARTIFICIAL INTELLIGENCE TO OVERCOME POSTPONING REALITY PHENOMENON IN SOCIETY 5.0 

Jumadila Purnama*, Fayza Ananda, and Andi Ammar Akrar 

Mathematics Department, Mathematics and Natural Sciences Faculty, Universitas Negeri Makassar 

*zumapurn@gmail.com 

ABSTRACT 

Postponing reality, as identified by the Indonesian Minister of Education and Culture, is a situation in which fresh graduates tend to run away facing a world of work or career disorientation. Consequently, this phenomenon is predicted to threaten the nation's economy with the increase of aimless postgraduates and educated unemployed. The situation becomes more crucial as Indonesia is currently preparing for the demographic dividend as well as the achievement of the 8th goal of Sustainable Development Goals (SDGs) 2030 agenda, namely, decent work and economic growth. This study aims to provide a solution to the aforementioned issue by conducting literature reviews on the causative factors and how to overcome postponing reality. The idea reconciles the technology and humanity aspect, which corresponds with the vision of the transition to society 5.0. The literature reviews are conducted on ten primary literatures and some supplementary literatures in two categories: the causative factors of postponing reality and the solution of causative factors of postponing reality. The data gathered are then analyzed qualitatively in four stages, which are: 1) decontextualizing, 2) categorizing, 3) re-contextualizing, and 4) designing. The data analysis revealed two factors of postponing reality: internal factors such as interest, skills, and psychology, and external factors like parental demand, social prospect, relation, and information. In addition, solutions that correspond to both the internal and external factors are also revealed in the literature analysis, which are then translated into an Analytical Hierarchy Process based Artificial Intelligence system which has six main features: 1) MBTI Test to identify 2 personality type; 2) Counseling to identify psychological condition; 3) Personal Data to gather the undergraduates' academic background and psychology informations; 4) Diagnose to analyze and calculated personal data and give recommendation; 5) Career Directory to describe appropriate career recommendation; and 6) Link and Match to connect to the relevant positions and institutions. By providing analysis and design, this study opens an opportunity for the development of the prototype of the designed AHP-based AI system. It includes the experimentation and examination of its practicality, which will be recommended to be performed in future research. Keywords: Postponing Reality, Artificial Intelligence, Analytical Hierarchy Process, Society 5.0

CONCLUSION

Postponing reality is a condition where many recent graduates have a problematic career and postpone the realities of the working world. In order to counter this tendency, the causative factors and alternative solutions for postponing reality are first identified. The result is used to develop an AI system to overcome postponed reality.

This phenomenon has been investigated as being caused by internal factors: interest and skills, and psychology; and external factors: family demands, society prospects, relations, and information. The findings lead to alternative solutions to postponing reality, including academic information, skill training, personality, psychological identification, career counseling, and one-door information.

Furthermore, to accommodate the alternative solutions, this research was initiated to design an Analytical Hierarchy Process (AHP)-based Artificial Intelligence (AI) system, which is used to link and match the graduates' requirements and needs to the adequate and appropriate position or institution. In the end, an AHP-based AI system will assist graduates in determining their best future careers. Further research, including the development of an AI product and prototype, as well as experiments and implementation trials, is advised due to the study's entirely theoretical nature.

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