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All Journal CHAIN: Journal of Computer Technology, Computer Engineering and Informatics
Dwi Satria, Muhammad Najib
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Application of SAW in the Class Leader Selection Decision Support System Dwi Satria, Muhammad Najib; Inka Takaendengan, Mahardika
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 1 No. 1 (2023): Volume 1 Number 1 January 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v1i1.7

Abstract

The election of the class president is one of the activities that is often carried out when students are in school. A class in school can be interpreted as a country that has a government system. So, it is very important for a class to have a leader. Usually the election of the chairman is done by voting from class members. Later as a chairman, you will have various obligations. Simple Additive Weighting (SAW) is a method that is often known as the weighted sum method. Based on the needs gathering, an approach is proposed using a decision support system using the SAW method in selecting class leaders. There are 4 criteria used in selecting class leaders. The purpose of the weighted sum is to find the weighted sum of the ratings in each alternative on all criteria. Based on the calculation results using SAW for the election of the class leader, the 1st rank of the class leader election is Ahmad Jatmiko with a score of 0.99. Ranked 2nd in the class leader election was Muhammad Akbar with a score of 0.9. And ranked 3rd in the class leader election is Siti Setianingsih with a score of 0.8525.
Penerapan Metode Rank Order Centroid dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Waitress Terbaik Citra, Puspa; Dwi Satria, Muhammad Najib
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 2 (2024): Volume 2 Number 2 April 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i2.116

Abstract

The main duties of a waitress include welcoming and directing customers to tables, taking food and beverage orders, serving dishes, and ensuring customer satisfaction during their visit. One of the main problems in determining the best waitress is finding a balance between technical skills, such as the ability to take orders quickly. The main problem in determining the best waitress is finding a balance between technical skills, such as the ability to take orders quickly or manage tables efficiently, and interpersonal skills, such as good communication skills and the ability to maintain positive relationships with customers. In addition, attention also needs to be paid to the ability to work in demanding situations, maintain cleanliness, and adapt to diverse work environments. The purpose of this study is to apply ROC and SMART methods in a Decision Support System (DSS) for the selection of the best waitress. Using the ROC, this study aimed to determine the relative weights of relevant criteria in waitress assessment, while SMART was used to provide a holistic approach in the evaluation of alternatives. The combination of these two methods is expected to provide a strong and measurable framework for selecting the best waitress, taking into account various aspects of qualifications and relevant preferences. The ranking results for the best waitress 1 with a final value of 0.8353 were obtained by Leni, for the best waitress 2 with a final value of 0.7163 obtained by Haris, and for the best waitress 3 with a final value of 0.6975 obtained by Riyadi.
Co-Authors Citra, Puspa Inka Takaendengan, Mahardika