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All Journal Journal of Computer System and Informatics (JoSYC) KLIK: Kajian Ilmiah Informatika dan Komputer
Muhammad Waqas Arshad
University of Bologna, Bologna
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation Muhammad Waqas Arshad; Setiawansyah; Mesran; Desyanti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1677

Abstract

Supplier performance evaluation is a critical aspect of supply chain management that focuses on assessing and monitoring the performance of suppliers. Supplier performance evaluation not only provides benefits for the company, but also motivates suppliers to improve their quality standards and operational efficiency. This study aims to evaluate supplier performance based on existing assessment data by applying the ROC method to determine the weight of the criteria used, then the MAIRCA method will evaluate supplier performance so that it will produce a rating of supplier performance evaluation which will be a decision recommendation for companies in assessing the performance of existing suppliers. The combination of ROC and MAIRCA weighting methods forms a powerful approach in addressing the complexity and challenges of multi-criteria decision making. ROC with its focus on relative ranking criteria, whereas MAIRCA which considers the difference between ideal and real conditions, presents complementary perspectives. By combining the two, decision makers can generate a more contextual and informational weight of criteria. The ranking result graph in figure 4 shows the best supplier performance obtained on behalf of Supplier C with a final value of 0.052391944 ranked 1, then on behalf of Supplier F with a final value of 0.050077222 ranked 2, and on behalf of Supplier G with a final value of 0.049074028 ranked 3.
Combination of Rank Sum and Multi Attribute Utility Theory in Determining the Best Receptionist Performance Muhammad Waqas Arshad; Setiawansyah Setiawansyah; Mesran
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1791

Abstract

As the frontline of the service industry, a receptionist's performance not only reflects his professionalism, but also affects the first impression and overall customer experience. Problems in assessing the performance of a receptionist can include several things, namely difficulty measuring the quality of social interactions objectively, performance appraisals often focus more on administrative tasks, lack of understanding of the receptionist's role as a liaison between the company and customers, difficulty in assessing intangible aspects such as friendliness, patience, or the ability to respond to changing customer needs quickly and efficiently. The combination of rank sum weighting methods and Multi-Attribute Utility Theory (MAUT) can result in a more holistic and robust approach to decision making. In this approach, the rank sum weighting method can be used to get an initial picture of the relative preferences of various alternatives, while MAUT can be used to dig deeper into those preferences and account for complex factors such as attribute weights and utility values. By combining these two methods, decision makers can gain a deeper understanding of their preferences, while still maintaining openness to multiple perspectives and information. The results of the ranking of the best cashier performance the 1st best cashier with a value of 0.574 obtained by Zulaikah, the 2nd best cashier with a value of 0.473 obtained by Arini, and the 3rd best cashier with a value of 0.337 obtained by Lilik Karlina.
Decision Support System for Best Honorary Teacher Performance Assessment Using a Combination of LOPCOW and MARCOS Ade Dwi Putra; Muhammad Waqas Arshad; Setiawansyah Setiawansyah; Sanriomi Sintaro
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5127

Abstract

Teachers are the main pillars in the formation and development of future generations. They not only pass on knowledge, but also play an important role in guiding, inspiring, and shaping the character of students. The main problems in selecting the best honor teachers are limited resources and a less systematic evaluation process, lack of transparency and consistency in the selection process can also lead to dissatisfaction and injustice among honor teachers. Through the combination of LOPCOW and MARCOS, this research succeeded in producing a more accurate and accountable ranking in the selection of the Best Honorary Teacher. The LOPCOW approach provides a deep understanding of percentage changes against set criteria, while MARCOS assists in weighting compromise solutions that can optimally meet those criteria. Thus, the study provides a more holistic and detailed view of various aspects of teacher quality and performance, enabling better decision-making in selecting the Best Honorary Teachers who meet educational needs and advance student learning. The ranking results showed that the assessment results from the LOPCOW and MARCOS methods gave results, namely rank 1st with a final value of 0.3404446 obtained by SF Teachers, 2nd place with a final value of 0.3367384 obtained by LBS Teachers, and 3rd place with a final value of 0.3343083 obtained by ASB Teachers.
Co-Authors Ade Dwi Putra Desyanti Mesran, Mesran Sanriomi Sintaro Setiawansyah Setiawansyah Setiawansyah