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All Journal JURNAL TEKNIK Jurnal Teknik Informatika C.I.T. Medicom
Dedy Alamsyah
Universitas Muhammadiyah Tangerang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Completion of Multi-Criteria Decision Making Using the Weighted Product Method on the Server Maintenance Vendor Selection System Rini Nuraini; Dedy Alamsyah; Ri Sabti Septarini; Alfry Aristo J Sinlae
Jurnal Teknik Informatika C.I.T Medicom Vol 14 No 1 (2022): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol14.2022.247.pp27-35

Abstract

For companies that use information systems or websites in their business activities, server maintenance is an important thing. For this reason, the selection of a server maintenance vendor is crucial. Vendor determination usually begins with gathering information and holding a leadership meeting based on the assumptions of the decision maker. But this method is time consuming and less objective. Vendor selection is a multi-criteria problem where each criterion has a different importance. This can be solved by using the Multi-Criteria Decision Making (MCDM) approach. Weighthet Product (WP) is one of the methods of solving MCDM. The purpose of this research is to develop a decision support system to determine the best maintenance vendor using the Weighted Product (WP) method. The system is built using a waterfall system development approach that starts from analysis, design, coding and testing. The developed system has the ability to manage alternatives, criteria, alternative assessments, calculations with WP, and displays the best alternative results with WP. From the results of black-box testing, it shows that the developed system can function and run well. In addition, the results of manual calculations with the system show the same results.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI KARYAWAN TETAP MENGGUNAKAN METODE AHP DAN PROFILE MATCHING Dedy Alamsyah; Helfa Rifaldi; Hengki Rusdianto; Yeni Daniarti
Jurnal Teknik Vol. 15 No. 1 (2026): Januari - Juni 2026
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jt.v15i1.15813

Abstract

Penelitian ini bertujuan merancang sistem pendukung keputusan (SPK) untuk proses seleksi karyawan outsourcing menjadi karyawan tetap pada PT Selamat Sempurna Tbk dengan mengintegrasikan metode Analytical Hierarchy Process (AHP) dan Profile Matching. Sistem ini dikembangkan untuk meningkatkan objektivitas, keterstrukturan, dan transparansi dalam pengambilan keputusan, sekaligus meminimalkan subjektivitas yang kerap muncul pada proses seleksi manual. AHP digunakan untuk menentukan bobot setiap kriteria seleksi berdasarkan tingkat kepentingannya, meliputi aspek kinerja, kedisiplinan, sikap kerja, dan kompetensi. Bobot tersebut kemudian digunakan dalam metode Profile Matching untuk mengukur tingkat kesesuaian antara profil aktual karyawan outsourcing dengan profil ideal yang telah ditetapkan perusahaan. Analisis dilakukan melalui perhitungan selisih (gap) antara profil aktual dan profil ideal, yang selanjutnya dikonversi menjadi skor akhir untuk menentukan peringkat rekomendasi. Hasil penelitian menunjukkan bahwa integrasi AHP dan Profile Matching mampu meningkatkan akurasi dan keadilan dalam proses seleksi, serta menghasilkan rekomendasi yang lebih dapat dipertanggungjawabkan. Dengan demikian, sistem ini dapat menjadi alat pendukung keputusan yang efektif bagi manajemen dalam menyeleksi karyawan outsourcing yang paling layak untuk diangkat menjadi karyawan tetap
Co-Authors Alfry Aristo Jansen Sinlae Daniarti, Yeni Helfa Rifaldi Hengki Rusdianto Ri Sabti Septarini Rini Nuraini