Implementation of a Combination of Rank Reciprocal and Additive Ratio Assessment Approaches for 3D Printer Selection

Fryda Fatmayati(1*), Teotino Gomes Soares(2), Mursalim Tonggiroh(3), Allan Desi Alexander(4),

(1) Sekolah Tinggi Teknologi Kedirgantaraan, Yogyakarta
(2) Dili Institute of Technology, Dili
(3) Universitas Yapis Papua, Jayapura
(4) Universitas Bhayangkara Jakarta Raya, Jakarta Selatan
(*) Corresponding Author

Abstract


With the wide selection of 3D printers available on the market, the challenge arises for consumers and businesses to choose the device that best suits their specific needs. To determine the choice, the decision-maker must know one by one the specifications of the 3D printer to be purchased, which results in making difficult decisions and requiring a long time. This research aims to implement a combination of the Rank Reciprocal and additive ratio assessment (ARAS) approaches to make it easier to determine decisions for selecting a 3D printer. The Reciprocal Rank approach provides weight values by utilizing the reciprocal or inverse principle. Meanwhile, the ARAS approach is used to obtain the best alternative by evaluating alternative rankings based on their utility function. From the case studies that have been carried out, the highest to lowest utility values are Anycubic 4Max Pro (A2) getting a score of 0.8289, Creality Ender-3 Pro (A1) getting a score of 0.6174, Anet 3D Printer ET4 Pro (A3) getting a score of 0.5510, and Mingda Magician X2 (A4) getting a score of 0.5116. The output produced by the system in the case study carried out produces the same value as the manual calculation, meaning that the ARAS method calculation in the system is declared valid. Based on usability testing, it got a score of 90%, which shows the system is suitable for use

Keywords


3D Printer; Additive Ratio Assessment; ARAS Method; Decision Support System; Rank Reciprocal

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References


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DOI: http://dx.doi.org/10.61944/bids.v2i2.83

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