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All Journal Jurnal Buana Informatika Sistemasi: Jurnal Sistem Informasi Tech-E Jurnal Ilmiah FIFO Jurnal CoreIT Jurnal TAM (Technology Acceptance Model) ILKOM Jurnal Ilmiah J-SAKTI (Jurnal Sains Komputer dan Informatika) CSRID (Computer Science Research and Its Development Journal) Jurnal Tekno Kompak Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Data Mining dan Sistem Informasi Jurnal Ilmiah Infrastruktur Teknologi Informasi Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) EXPLORER BEES: Bulletin of Electrical and Electronics Engineering Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Paradigma Journal of Engineering and Information Technology for Community Service Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science Jurnal Ilmiah Computer Science Jurnal Media Celebes CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Swarnadwipa SANISKALA: Jurnal Pengabdian Masyarakat Jurnal TAM (Technology Acceptance Model) Journal of Decision Support System Research
Yuri Rahmanto
Universitas Teknokrat Indonesia
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Journal : Paradigma

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Optimizing Employee Admission Selection Using G2M Weighting and MOORA Method Rahmanto, Yuri; Wang, Junhai; Setiawansyah, Setiawansyah; Yudhistira, Aditia; Darwis, Dedi; Suryono, Ryan Randy
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i1.8224

Abstract

An objective and effective employee admission selection process is a crucial step for the success of the organization in achieving its goals. Problems in employee recruitment selection often arise due to a lack of good planning and system implementation, namely decisions are often influenced by personal preferences, stereotypes, or non-relevant factors, thus reducing objectivity in choosing the best candidates. Objective selection ensures that candidate assessments are conducted based on measurable, relevant, and bias-free criteria, so that only individuals who truly meet the company's needs and standards are accepted. The purpose of developing an optimal approach in employee admission selection using G2M weighting and MOORA is to create a more objective, efficient, and accurate selection process. This approach aims to integrate the calculation of criterion weights mathematically, such as those offered by G2M, in order to eliminate subjective bias in determining criterion prioritization. The MOORA method of evaluating alternative candidates is carried out through ratio analysis that takes into account various criteria simultaneously, resulting in a transparent and data-driven ranking. The results of the employee admission selection ranking based on the criteria that have been evaluated, Candidate 3 obtained the highest score of 0.4177, indicating that this candidate best meets the expected criteria. The second position was occupied by Candidate 6 with a score of 0.3886, followed by Candidate 9 with a score of 0.3528. This research contributes to the recruitment process, by providing a more reliable, transparent, and less subjective way of selecting the right candidates for the positions that companies need.
Optimizing Employee Admission Selection Using G2M Weighting and MOORA Method Rahmanto, Yuri; Wang, Junhai; Setiawansyah, Setiawansyah; Yudhistira, Aditia; Darwis, Dedi; Suryono, Ryan Randy
Paradigma - Jurnal Komputer dan Informatika Vol. 27 No. 1 (2025): March 2025 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v27i1.8224

Abstract

An objective and effective employee admission selection process is a crucial step for the success of the organization in achieving its goals. Problems in employee recruitment selection often arise due to a lack of good planning and system implementation, namely decisions are often influenced by personal preferences, stereotypes, or non-relevant factors, thus reducing objectivity in choosing the best candidates. Objective selection ensures that candidate assessments are conducted based on measurable, relevant, and bias-free criteria, so that only individuals who truly meet the company's needs and standards are accepted. The purpose of developing an optimal approach in employee admission selection using G2M weighting and MOORA is to create a more objective, efficient, and accurate selection process. This approach aims to integrate the calculation of criterion weights mathematically, such as those offered by G2M, in order to eliminate subjective bias in determining criterion prioritization. The MOORA method of evaluating alternative candidates is carried out through ratio analysis that takes into account various criteria simultaneously, resulting in a transparent and data-driven ranking. The results of the employee admission selection ranking based on the criteria that have been evaluated, Candidate 3 obtained the highest score of 0.4177, indicating that this candidate best meets the expected criteria. The second position was occupied by Candidate 6 with a score of 0.3886, followed by Candidate 9 with a score of 0.3528. This research contributes to the recruitment process, by providing a more reliable, transparent, and less subjective way of selecting the right candidates for the positions that companies need.
Co-Authors ., Rusliyawati Abhishek R Mehta Achmad Yudi Wahyudin Adam Saputra Ade Dwi Putra Ade Dwi Putra Ade Surahman Adhie Thyo Priandika Aditia Yudhistira Adiyta Yudistira Ady Chandra Afrianto Afrianto Afrianto Agung Saputra Agus Wantoro Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Ari Aldino Ahmad Fathurrozi Ahmad Rifki Irliando Aidil Akbar Akhmad Jayadi Alfian, Joni Alita, Debby Almira Devita Putri Alpiana, Nopiah Amat Damuri Amik Herningsih Anang Burlian Andi Nurkholis Andika, Reza Anggun Putri Kinanti Ani Sesanti Aprian Nuriansah Ari Sulistiyawati Arie Qur’ania Arinda Rifaini Arnando Fajar Sidhiq Arshad, Muhammad Waqas Arsy Berlian Sutarman Asistyasari, Ayuni Bagas Setiawan Benhouzer N.P Pasaribu Bentar Priyopradono Budi Waluyo Daffa Pertama Damayanti Damayanti Damayanti, Damayanti Debby Alita Dedi Darwis Dedi Triyanto Devin Pratama Donaya Pasha Dyah Aminatun Dyah Ayu Megawaty Eko Bagus Fahrizqi Enda Tri Ifanda Fatimah Nur Aini Fatriana, Nina Fernando, Yusra Fikih Yuhada Sena Fikri Hamidy Fira Aulia Fitratullah, M. Gunawan, Rakhmat Dedi Handika, H Hari Setiyani Heni Sulistiani Heni Sulistiani Heni Sulistiyani Ida Bagus Suwisma Ikbal Yasin Imam Ahmad Intan Anggrenia Irwan Tubagus Ismail, Izudin Ismail, Izzudin Isnain, Auliya Rahman Izudin Ismail Jeni Sagita Jeni Sagita Putri Johansyah Johansyah Joko Trianto Joni Alfian Khoirunnisa, Yosi Kinanti, Anggun Putri Kurniawan, Arsy Lestari, Ova Lili Andraini Lulud Oktaviani Megawaty, Dyah Ayu Mesran, Mesran Moh. Erkamim Muhammad Akbar Muhammad Alip Pratama Muhammad Bakri Muhammad Irfan Hafidhin Muhammad Najib Dwi Satria Nanang Sadikin Nina Fatriana Nopiah Alpiana novi yona sidratul munti Nuralia Nuralia Nurhasan Nugroho Palupiningsih, Pritasari Parjito Parjito Pasaribu, A. Ferico Octaviansyah Permata Permata Permata Permata Prastowo, Agung Tri Priandika, Adhie Thyo Priskilia Lovika Putra, Ade Dwi Putri, Jeni Sagita Rahayu, Masnia Recxy Yuda Utama Rendy Ramadhan Rhaishudin Jafar Rumandan Rido Febriansyah Riduwan Napianto Rini Nuraini Rio Andika Rizki Febrianto Rohmat Indra Borman Ryan Randy Suryono S. Samsugi Sampurna Dadi Riskiono Sanriomi Sintaro Sari, Priskila Lovika Selfia Agustina Sesanti, Ani Setiawansyah Setiawansyah Shiwi Angelica Cindiyasari Silvia Damayanti Silvia Damayanti Siti Hotijah Sitna Hajar Hadad Stevani Natasiyah Stiawan, Fengky Styawati Styawati Styawati, Styawati suaidah suaidah suaidah suaidah Subhan Subhan Sufiatul Maryana Sumanto, Sumanto Temi Ardiansah Tia Nanda Pratiwi Tien Yulianti Tonggiroh, Mursalim Trinugi Wira Harjanti Ulum, Faruk Very Hendra Saputra Very Hendra Saputra Wang, Junhai Waqas Arshad, Muhammad Willyan Dafit Prayoga Wulan Agustin yasin, ikbal YOHANA TRI UTAMI, YOHANA TRI Yudha, Sandy Yusuf Faqih Zulhan Amir