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All Journal International Journal of Integrative Sciences Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA)
Muhammad Syam Noverick
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Social Sciences

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Analisis Perbandingan Metode Fuzzy Mamdani, Sugeno dan Tsukamoto Dalam Menentukan Harga Smartphone Bekas Ilham Farhandhany; Galuh Surya Permana; Muhammad Syam Noverick; Muhammad Dzulkifli Hidayah Ramadhan; Perani Rosyani
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 1 No 1 (2023): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) INPRESS
Publisher : Shofanah Media Berkah

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Abstract

The sales of used smartphones or devices increase with the purchase of new smartphones or devices because most people sell their old smartphones or devices before buying new ones with advanced features. Ratings are still used for selling used smartphones or electronic devices, resulting in unexpected outcomes. To overcome this problem, a system is needed to accurately determine the selling price of smartphones or electronic devices. By comparing different journals and using Fuzzy Inference System (FIS); B. Fuzzy Sugeno, Fuzzy Mamdani, and Fuzzy Tsukamoto methods, it aims to assist those who want to buy orsell smartphones with more detailed information about the terms and conditions of the smartphones being bought orsold. From the comparative analysis of fourjournals using different methods, it is concluded that theMamdani method is the best method for determining the price of used smartphones. Moreover, both journalsthat use the Mamdani method have higher accuracy scores, achieving 100% validity compared to the Sugeno and Tsukamoto methods. The purpose of this comparison is to find a good way to determine the price of used smartphones.
Decision Support System for Performance Assessment of Honoray Personnel Applying MABAC, MOORA, and ARAS Method with a Combination of ROC Weighthing Woro Agus Nurtiyanto; Perani Rosyani; Ines Heidiani Ikasar; Muhammad Syam Noverick; Galuh Surya Permana; Bagus Wicaksono
International Journal of Integrative Sciences Vol. 2 No. 12 (2023): December 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijis.v2i12.7378

Abstract

MABAC (Multi-Attributive Border Approximation area Comparison), ARAS (Additive Ratio Assessment), and MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) are decision support system methods employed for evaluating the performance of honorary staff. MABAC utilizes a multi-attribute border approximation area approach to measure the relative performance of honorary staff. ARAS assigns weights to competing attributes and produces assessment ratio values aiding in decision-making. Meanwhile, MOORA focuses on multi-objective optimization by considering ratio analysis. The combination of these three methods provides a holistic and comprehensive framework for assessing the performance of honorary staff, enabling decision-makers to effectively evaluate their contributions and achievements based on predefined criteria. This approach allows for the determination of relative rankings and the selection of honorary staff that best align with organizational needs
Co-Authors BAGUS WICAKSONO Galuh Surya Permana Ilham Farhandhany Ines Heidiani Ikasar Muhammad Dzulkifli Hidayah Ramadhan Perani Rosyani Woro Agus Nurtiyanto