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Journal : Journal of Computer System and Informatics (JoSYC)

Penerapan Metode MOORA dan WASPAS dalam Keputusan Pemilihan Lokasi Usaha Laundry Sanwani Sanwani; Pristiwanto Pristiwanto; Mesran Mesran; Sarwandi Sarwandi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.2517

Abstract

The location of the Laundry business is a means of building a business, namely the place where the business is founded. Competition in this Laundry business causes many things to be considered in choosing a Laundry business location because if you don't choose the right location for a Laundry business, it can cause many losses such as bankruptcy for business owners. For this reason, business owners need foresight when setting up their Laundry business. To assist entrepreneurs in making decisions regarding the selection of a Laundry business location, there is a system that can be used, namely SPK. Decision Support Systems (DSS) are the steps or stages in finding a solution to a problem where the process is carried out using a solution according to how the computer works. There are 2 methods used in this study, namely the MOORA and WASPAS methods. The MOORA method is a method that can be used in the completion and completion process of the DSS. This method has a working procedure that uses mathematical calculations. While the WASPAS method is to find the priority of the most suitable location choice by using weighting. Where the results of research using the Multi-Objective Optimization by Ratio Analysis (MOORA) method, that which meets the criteria as the best Laundry business location is alternative A1, namely Jalan Setia Budi with a value of 0.2780 as the first rank. Meanwhile, based on the WASPAS method that meets the criteria as the best Laundry business location, alternative A7 is Jalan Gatot Subroto with a value of 0.8407 as the first rank.
Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penerimaan Siswa Baru Yeni Setiani; Sanwani Sanwani; Nurul Aini; Lidya Puspita Dewi; Mesran Mesran
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3417

Abstract

Acceptance of new students is a school activity that occurs every year, even in the middle of the teaching year. This activity is the first step to improve the quality of education, namely choosing the quality of students. In general, the process of admitting new students is still done manually, namely by recording student data and the student selection exam schedule to the student data that has been accepted. This is one of the problems every year that can hinder the work of teachers and even school staff. Therefore, we need the right system to be used in schools so that it can assist in the acceptance of new students. One system that is able to solve these problems is the Decision Support System (SPK). . SPK aims to provide information, guide, provide predictions and direct users of information so they can make better decisions. In implementing the SPK, ranking methods are used so that the results obtained are more effective, such as the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Method. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method where it is expected that the normalization process in calculating the value of new student admissions. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method is a method which has a calculation level using minimum calculations and is very simple and practical for applied to the system. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method has a high level of flexibility and convenience on separating the subjective part that comes from an assessment process into the decision weighting criteria using several decision-making attributes. The final result showed that Angga Rifai Zul Fiqri ranked first with a final preference score of 1.0522, which was the highest among all candidates.