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Muhammad Yunus
Universitas Murni Teguh
Computer Science & IT

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PEMBANGUNAN HOTEL DENGAN METODE MULTI-ATTRIBUTIVE BORDER APPROXIMATION AREA COMPARISON Muhammad Yunus; Elsida Aritonang; Victor Maruli Pakpahan; Jubelando O Tambunan; Doris Yolanda Saragih
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.1054

Abstract

This research aims to develop a Decision Support System (DSS) for determining the location of hotel development on Samosir Island. This DSS is constructed using the Multi-Attributive Border Approximation Area Comparison (MABAC) method. The criteria used in this study include Distance (C1), Natural Beauty (C2), Cleanliness (C3), Transportation (C4), and Atmosphere (C5). The choice of MABAC as the method is made because it provides flexibility for decision-makers to specify preferences and consider variations in criteria. The ranking results from MABAC indicate the top three locations, namely LH04, LH03, and LH01. By implementing the DSS using the MABAC method, this system is expected to make a significant contribution to optimizing the selection of hotel development locations in Samosir. The findings of this research illustrate that the use of the DSS with the MABAC method can be relied upon as a guide in addressing the impact of sustainable hotel growth in crucial tourist destinations such as Samosir.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN CALON PUSTAKAWAN MENGGUNAKAN METODE ARAS Heru Sugara; Eka Pratiwi Parapat; Eko Deswin Siringo-ringo; Muhammad Yunus; M. Ali Hanafiah; Yuyun Dwi Lestari
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1055

Abstract

This research aims to build a Decision Support System (SPK) for the selection of prospective librarians at the Indonesian Business Polytechnic using the ARAS (Additive Ratio Assessment) method. In the era of globalization and advances in information technology, the need for competent librarians is increasingly urgent. The SPK developed aims to assess prospective librarians objectively based on various criteria such as GPA, age, work experience, psychological test scores and interview scores. This research collected data from 10 prospective librarians and applied the ARAS method to normalize and calculate the value of each alternative. The research results show that the best alternative is A1 with a value of 0.94780, followed by A6 and A7 with a value of 0.91508 and 0.87145 respectively. The application of the ARAS method in this SPK provides selection results that are more transparent, objective and efficient, and supports a better decision-making process in the context of librarian selection.
Co-Authors Doris Yolanda Saragih Eka Pratiwi Parapat Eko Deswin Siringo-ringo Elsida Aritonang Heru Sugara Jubelando O Tambunan M. Ali Hanafiah Pakpahan, Victor Maruli Yuyun Dwi Lestari