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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Bulletin of Electrical Engineering and Informatics SMATIKA AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Rancang Bangun BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo ComTech: Computer, Mathematics and Engineering Applications Building of Informatics, Technology and Science TIN: TERAPAN INFORMATIKA NUSANTARA Abdi Kami : Jurnal Pengabdian Kepada Masyarakat IJPD (International Journal Of Public Devotion) Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) COMMENT: Journal of Community Empowerment Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Edutic : Pendidikan dan Informatika Journal of Computing and Informatics Research Journal of Informatics, Electrical and Electronics Engineering Bulletin of Informatics and Data Science
Ahmad Ari Aldino
Universitas Teknokrat Indonesia
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Journal : Journal of Computing and Informatics Research

 1 
Combination of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) in Determining the Best Cashier Sintaro, Sanriomi; Aldino, Ahmad Ari; Setiawansyah, Setiawansyah; Saputra, Very Hendra
Journal of Computing and Informatics Research Vol 3 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i1.969

Abstract

MOORA (Multi-Objective Optimization by Ratio Analysis) method is one of the multi-criteria analysis techniques used for alternative selection based on several different criteria or objectives. In the context of selecting the best cashier, by using the MOORA method to select cashiers based on several relevant criteria. While Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) is a method used to assess the importance of criteria relative to each other in the context of multi-criteria analysis. This method helps in determining the weight of criteria used in multi-criteria decision making. The combination of MOORA and PIPRECIA will produce the best cashier selection based on the criteria used. The results of the best cashier assessment ranking using the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and the Simplified Pivot Pairwise Relative Criteria Importance Assessment weighting method obtained results, namely for Rank 1 obtained by Rini Maya with a final value of 0.343.
Co-Authors Abraham Julius Achmad Yudi Wahyudin Aditia Yudhistira Akmal Junaidi Andi Nurkholis Ari Sulistiyawati Arif Munandar Asmiati Asmiati Budiono, Andiswar Muhamad Deby Sintia Amelia Dedi Darwis Defia Riski Anggarini Dhira Atika Emi Suryati Febryansyah, Rido Fera Lestari Gibtha Fitri Laxmi Heni Sulistiani Ika Septiana Ika Septiana Intan Hamzah Isnain, Auliya Rahman Larasati Ahluwalia Lathifah Lathifah Lestari, Fera Lulud Oktaviani Marchamah Ulfa, Marchamah Megawaty, Dyah Ayu Muhammad Alfathaan Nabila Arra Putri Neneng Neneng ningtyas, Kurnia rimadhanti Olvi Lorensky Yeztiani Palupiningsih, Pritasari Pasaribu, A. Ferico Octaviansyah Putra, Ade Dwi Qadhli Jafar Adrian Rido Febryansyah Riyama Ambarwati Ryan Randy Suryono Sanriomi Sintaro Saputra, Alvin Setiawansyah Setiawansyah Sitna Hajar Hadad Styawati Styawati suaidah suaidah SUAIDAH SUAIDAH, SUAIDAH Surahman, Ade Very Hendra Very Hendra Saputra Very Hendra Saputra Yuni Tri Lestari, Yuni Tri Yuri Rahmanto