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All Journal Faktor Exacta STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) sudo Jurnal Teknik Informatika Jurnal Rekayasa Komputasi Terapan Kapas: Kumpulan Artikel Pengabdian Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Nasional Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Mercy Hermawati
Universitas Indraprasta PGRI
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Social Sciences Other

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Sistem Pendukung Keputusan Untuk Pemilihan Vendor IT Menggunakan Metode TOPSIS Pada PT IBBI Zefri Andi; Mercy Hermawati
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 1 (2026): Januari 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i1.292

Abstract

IT vendor selection is a strategic decision that affects service quality, cost efficiency, and the sustainability of a company’s information technology systems. PT Investasi Bangun Bangsa Indonesia (PT IBBI) faces challenges in its IT vendor selection process, which is still conducted manually and tends to be subjective, potentially leading to suboptimal decisions. This study aims to design and develop a web-based decision support system for IT vendor selection using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method is applied to support multi-criteria decision-making by ranking vendors based on their proximity to the positive ideal solution and their distance from the negative ideal solution. The criteria considered include price, service quality, implementation time, portfolio, reliability, and uptime. The research methodology includes system requirements analysis, a literature review, data collection through observation and interviews, system design, implementation of the TOPSIS algorithm, and system testing using black-box testing. The results indicate that the proposed system is capable of providing objective and measurable IT vendor recommendations. Therefore, this decision support system can enhance the effectiveness and efficiency of the IT vendor selection process at PT IBBI while minimizing the risk of decision-making errors.
Co-Authors Ade Kurnia Solihin Ade Kurnia Solihin Adrian, Adrian Akbar Muchbarak Alfian Ramadhan ARI IRAWAN Auliga, Muhamad Aldy Budi Santoso Dian Nur Sholihaningtias Didi Supriyadi Effendi, Muhammad Ade Fauziah, Lulu Nisa Maulana, Aldian Maulana, Habib Imam Millati Izzatillah Muhamad Tofan Nova Agustina Nugraha, Mohamad Lutfi Nurfidah Dwitiyanti Opitasari Opitasari Opitasari, Opitasari Putri, Zahra Anzani Rahmawati Yuliani Rahnita Nuzulah Rakha, Muhammad Rismawati, Nofita Rizardi, Dandi Rudiansah, Arbi Rustiawan Rustiawan Septian Wulandari Sholihaningtias, Dian Nur Solihin, Ade Kurnia Syuhardi, Yossi Indrawati Tri Yuwono, Tri Yoga, Karinsa Sandi Yuli Haryanto, Yuli Yuliani, Anisa Yulianingsih, Yulianingsih Zefri Andi