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Men's Perfume Recommendation System Using Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Method Adline Twince Tobing, Fenina; Kusnadi, Adhi; Endariahna Surbakti, Eunike; Rayhan Harsono, William; Ivan Wijaya, Aurelius; Dinarta, Farrel; Irelynn, Maecyntha; Paskah, Richard
International Journal of Science, Technology & Management Vol. 4 No. 6 (2023): November 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i6.1002

Abstract

Perfume has been a product used for thousands of years by human civilization. Rapid growth of perfume products creates a problem especially for men to choose the best perfume to fit their personality. This research aims to help men find out which perfume suits each individual's personality by inputting a comparison of four main criteria, namely quality, price, aroma and durability. In this research, the research team built a perfume recommendation system specifically for men using the application of the Analytic Hierarchy Process (AHP) & Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. The research resulted in an 89.17% usefulness score, 89.34% ease of use, 89.34% ease of learning, and 91.61% satisfaction, resulting in an overall score of 90.07%. The research results demonstrate that the AHP and TOPSIS algorithm can assist men in choosing appropriate perfume through its implementation in the system built by the research team, which was tested using a questionnaire
Designing and Developing a Mobile Academic Platform for University Endariahna Surbakti, Eunike; Adeline Twince Tobing, Fenina; Sasmita Wijaya, Sagita; Rinanda Saputri, Fahmy
International Journal of Science, Technology & Management Vol. 5 No. 5 (2024): September 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i5.1120

Abstract

Academic consultation is a consultation activity between academic supervisors and students in the study and helps solve problems that accept students. The goal is that students who can complete their studies according to their interests and abilities. The implementation of academic consultation is regulated by each study program / faculty / university. The current academic guidance process at Multimedia Nusantara University does not control the students being guided. In addition, the current process of distributing student assistance is done manually by the head and vice of the study program. They divide the average number of students by the number of lecturers. With the random number algorithm, pseudo random number generator will help the division of students with automatic divide. The pseudo random number generator algorithm was chosen because it has the advantage of providing initial value of the process that is produced quickly, simply and saves storage. The design of this online academic consultation application will assist in the academic monitoring process anytime and anywhere. This application developed using flutter and can be use by students and supervisor. The result from this research was application successfully developed and received a score of 88 % for UEQ Questionare, which is categorized as excellent.