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Pasaribu, A. Ferico Octaviansyah
Fakultas Teknik Dan Ilmu Komputer, Universitas Teknokrat Indonesia
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Journal : TIN: TERAPAN INFORMATIKA NUSANTARA

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RAM-MEREC (Root Assessment Method - Method based on Removal Effects of Criteria): A Synergistic Approach to Weight Derivationand Alternative Ranking in the Selection of the Best Intern Employees Permata, Permata; Wang, Junhai; Setiawansyah, Setiawansyah; Pasaribu, A. Ferico Octaviansyah; Wahyudi, Agung Deni
TIN: Terapan Informatika Nusantara Vol 5 No 11 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i11.7198

Abstract

An effective intern selection process requires an objective and systematic approach to decision-making, especially when it involves multiple assessment criteria. This study proposes a combined approach of RAM-MEREC, which is a combination of Method based on Removal Effects of Criteria (MEREC) and Root Assessment Method (RAM), as a method to improve accuracy and reliability in the best internal selection. MEREC is used to objectively determine the weight of criteria based on the impact of the elimination of each criterion on the overall outcome. Meanwhile, RAM is used to generate alternative rankings by considering the root impact of value changes on each candidate's performance. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the application of this method show that RAM-MEREC is able to provide a more representative weighting and a more stable and consistent final ranking. The results of the calculation of the total score of all alternatives using the evaluation method that has been determined, obtained that Alternative 10 is the best candidate with the highest score of 1.4378, followed by Alternative 6 with a score of 1.4375 and Alternative 3 with a score of 1.4375. This approach not only improves the quality of decision-making, but also minimizes subjectivity and bias in the selection process.
Co-Authors Ade Dwi Putra ade rahman Ade Surahman Ade Surahman Adhie Thyo Priandika Adi Sucipto, Adi Agus Irawan Ahmad Ari Aldino Aldi Bagus Prasetyo Amik Herningsih Andi Nurkholis Arif Febriansyah Arifin Nur Dedi Darwis Dedi Darwis Dedi Irawan Depriansah Depriansah Donaya Pasha Eka Shintya Pratiwi Fachrul Kurnia Adam Farid Jack Hendri Farid Jeck Fikri Hamidy Fredy Hermawan Gufran Umar, M. Kasyif Habib Rizki A.Siregar Imam Ahmad Irna Puspasari Kadek Dwi Riska Santi Kiki Septiani Leny Meilisa M. Rizky Fadhilah Mahdalena Serumpun Maria Ainun Nazar Maulana Aziz Assuja Muhammad Al Khusnul Rizki Nita Afriani Novi Eka Wati Nurfitria Ningsi Nuroji Nuroji Nuroji Nuroji Oprasto, Raditya Rimbawan Permata, Permata Prasetyo, Aditya Dwi Purnomo Aji Renaldy Hermanto Renaldy Hermanto Riska Aryanti Riskiono, Sampurna Dadi Sampurna Dadi Riskiono Sanriomi Sintaro Saputra, Febrian Eko Setiawan, Gde Denny Setiawansyah Setiawansyah Shinta Bela Siti Romlah Sumanto, Sumanto Surahman, Ade Vera Nadita Very Hendra Saputra vista anestiviya Wahyudi Wahyudi Wahyudi, Agung Deni Wang, Junhai YOHANA TRI UTAMI, YOHANA TRI Yopita Anggela Yuri Rahmanto Yusra Fernando Yusra Fernando