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All Journal Dinamik Building of Informatics, Technology and Science CHAIN: Journal of Computer Technology, Computer Engineering and Informatics
Nuari, Reflan
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Penerapan Sistem Pendukung Keputusan Pemilihan Cleaning Servis Terbaik Menggunakan Kombinasi Metode Pembobotan Entropy dan COPRAS Nuari, Reflan; Setiawansyah, Setiawansyah; Mesran, Mesran
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5796

Abstract

The main problem in choosing the best cleaning service is often a challenge because it involves a variety of complex and subjective criteria. Cleaning service performance assessments are not only based on factors such as speed and efficiency in work, but also include other aspects such as cleanliness of work results, interpersonal skills, and the ability to comply with safety procedures. The purpose of this research is to implement a system that is able to evaluate and select cleaning service providers objectively and effectively. The Entropy method to measure and assign weights to relevant criteria in the assessment of cleaning service providers, based on the information contribution of each criterion. The COPRAS method to assess and compare various alternative cleaning service providers based on the weight of predetermined criteria, so as to identify the service provider that best meets the desired needs and standards. Based on the results of the ranking that has been carried out by applying the entropy and COPRAS weighting methods, Hadi Santoso occupies the top position with a perfect score of 100, showing that he is the best cleaning service employee among other candidates. Dewi Lestari is ranked second with a score of 96.07, which also shows a very good performance but slightly below Hadi. Meanwhile, Haryani occupies third place with a score of 92.46. Even though it is in last place, this score still reflects a fairly satisfactory performance. This difference in scores indicates a variation in the performance aspects assessed, so that it can be used as a basis for decision-making for awards or service quality improvement.
Sistem Pendukung Keputusan untuk Pemilihan Platform Pengembangan Aplikasi Web Menggunakan Metode MOORA Nuari, Reflan
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 3 (2024): Volume 2 Number 3 July 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i3.146

Abstract

A web application development platform is a framework or environment that provides tools, libraries, and features to simplify the process of creating a web-based application. Choosing a web application development platform is an important step that affects the success of an application development project. Each platform has its own advantages and disadvantages, such as scalability, ease of integration, security level, cost efficiency, and ease of use. However, without a systematic approach to evaluating and comparing these alternatives based on relevant criteria, the risk of choosing a suboptimal platform is increasing. The purpose of this research is to apply DSS in the selection of web application development platforms using the MOORA method which provides an objective and structured solution in choosing the platform that best suits the needs of web application development based on various criteria. By using the MOORA method, it is hoped that it can produce recommendations that are appropriate and acceptable to developers and stakeholders in the decision-making process. As a result of the calculation using the MOORA method, react ranks first with a final value of 0.4265, making it the best platform for web application development in this case. Angular follows in second place with a value of 0.4261, which indicates a performance that is almost on par with React. Laravel is ranked third with a value of 0.4142, followed by Django in fourth place with a value of 0.4095. Vue.js ranks fifth with a value of 0.3902, while Ruby on Rails is in last place with a value of 0.3756. The results of this ranking reflect the excellence of React in meeting the set criteria, followed by other alternatives that have strong performance in certain aspects.
Penentuan Tempat Lokasi Usaha Baru Menggunakan Simple Multi Attribute Rating Technique Method Nuari, Reflan
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.v2i2.114

Abstract

Determining the location to establish a new business is a critical stage in the business planning process. The right decision in choosing a location can have a significant impact on the success and continuity of the business. The location of a new business has many factors to consider, but there are some problems that entrepreneurs often face in this process. One is the limitation of accurate and up-to-date information about local market conditions, infrastructure, and business regulations in the location under consideration. The lack of comprehensive data can make decision-making less accurate and potentially lead to errors in assessing market potential as well as environmental and social risks. Determining the location of a new business using Simple Multi Attribute Rating Technique (SMART) involves a series of structured and measurable steps. Application of the SMART method to identify and assess various attributes that are relevant and have an impact on business success, as well as to investigate the advantages of the SMART method in providing an objective and measurable approach to the decision-making process, as well as to test the effectiveness of this method in reducing risk and increasing the chances of success in establishing new ventures. The data from alternative ranking provides recommendations for determining the location of new businesses with the results of rank 1 with a value of 0.7583 obtained by CH Village, rank 2 with a value of 0.6167 obtained by ST Village, and rank 3 with a value of 0.4625 obtained by DR Village.
Perbandingan Metode Maut, Smart dan Waspas dalam Sistem Pendukung Keputusan menentukan Karyawan Terbaik pada Sisilia Boutique Juliansyah, Muh Rifki; Nuari, Reflan
Dinamik Vol 31 No 1 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i1.10339

Abstract

This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates preferences into a numerical scale, SMART calculates the average value of attributes based on weights, while WASPAS combines weighted summation (WSM) and weighted multiplication (WPM) for more balanced results. Employee performance data from Sisilia Boutique in June 2025, including attendance, store layout, customer service, and discipline, were used as the research object. The comparison results show consistency in the highest (K3) and lowest (K7) ratings across the three methods, with differences in the middle ratings. WASPAS offers a more balanced distribution of final scores, making it a comprehensive alternative for performance evaluation.
Co-Authors Juliansyah, Muh Rifki Mesran, Mesran Setiawansyah Setiawansyah