The Best Caregiver at SOS Children’s Villages Using a Decision Support System
DOI:
https://doi.org/10.65126/jocosir.v3i1.67Abstract
This study focuses on the development and implementation of a Decision Support System (DSS) designed to determine the best caregiver at SOS Children’s Villages. The main objective is to enhance efficiency and objectivity in the decision-making process related to caregiver performance evaluation. The research methodology includes collecting caregiver performance data, analyzing organizational needs, and applying an appropriate decision-making model. The DSS developed in this study utilizes Artificial Intelligence (AI) techniques to process and analyze performance data, generate performance scores, and identify the best caregiver based on predetermined criteria. The results show that the implementation of the DSS improves the objectivity of performance evaluations and provides significant support in the decision-making process. With this system, the organization is expected to better identify and optimize the potential of each caregiver, thereby increasing productivity and strengthening the competitiveness of SOS Children’s Villages in Medan. The collected data is processed and evaluated using the Simple Additive Weighting (SAW) method. The results are presented in the form of rankings and scores for each caregiver, facilitating a more accurate and transparent decision-making process. This study is expected to contribute positively to improving the efficiency and effectiveness of human resource management at SOS Children’s Villages.
References
Teknik, S. T., & Gresik, Q. (2018). Sistem pendukung keputusan pemilihan motor dengan metode simple additive weigthing (SAW) Hermanto, Nailul Izzah. 6(2), 184–200.
Henderi, H., Gusti, A. R., & Yenti, F. (2022). Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Dengan Menerapkan Metode SAW Pada PT. Gada Agni Indonesia. ICIT Journal, 8(1), 14–22. https://doi.org/10.33050/icit.v8i1.2169
Ayu Winarsih, J., Bahri, S., Nusa Mandiri Jakarta, S., & BSI Yogyakarta, A. (2018). SMS Cengkareng Barat Dengan Metode Profile Matching. Ijse.Web.Id IJSE-Indonesian Journal on Software Engineering, 4(1), 85–92
Christiana, A. D., & Mailoa, E. (2022). Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Berbasis Website dengan Menggunakan Metode TOPSIS Pendahuluan Karyawan dalam suatu perusahaan merupakan bagian terpenting yang mempengaruhi tingkat kemajuan suatu perusahaan . Oleh karena karyawan mema. Jurnal Teknologi Informasi, 19(1), 31–47
Aisyah, N., & Putra, A. S. (2022). Sistem Pendukung Keputusan Rekomendasi Pemilihan Manajer Terbaik Menggunakan Metode AHP (Analytic Hierarchy Process). Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi Dan Sistem Komputer, 5(2), 7–13. https://doi.org/10.55886/infokom.v5i2.275
Rachman, R. (2019). Penerapan Metode Simple Additive Weighting (Saw) Untuk Penilaian Karyawan Pada Kenaikan Jabatan. Jurnal Tekno Insentif, 12(2), 21–27. https://doi.org/10.36787/jti.v12i2.71
Ashari, M., Jannah, S. H., Fadli, S., & Saikin. (2021). Sistem Pendukung Keputusan Penerimaan Murid Baru Menggunakan Metode Ahp Dan Saw. Pixel :Jurnal Ilmiah Komputer Grafis, 14(2), 287–299. https://doi.org/10.51903/pixel.v14i2.592
Esthi, R. B., & Marwah, Y. N. (2020). Kinerja karyawan : motivasi dan disiplin kerja pada pt asahi indonesia. Forum Ekonomi, 22(1), 130–137
http://journal.feb.unmul.ac.id/index.php/FORUMEKONOMI
Jufri, H. Al. (2022). PERHITUNGAN MANUAL DENGAN MENGGUNAKAN METODA SAW ( Simple Additive Weighting ) Salah satu metode dalam sistem pendukung keputusan yakni Metode SAW ( Simple istilah metode penjumlahan terbobot . Konsep dasar metode SAW adalah mencari metode yang paling ter. 2(1), 59–68.
Saputri, A. N., & Rachman, A. N. (2022). Faktor-Faktor Yang Mempengaruhi Kinerja Karyawan PT . Telkom Indonesia Witel Solo. Jurnal Imiah Ekonomi Dan Bisnis, 15(1), 9–23
Nistrina, K., & Sahidah, L. (2022). Unified Modelling Language (Uml) Untuk Perancangan Sistem Informasi Penerimaan Siswa Baru Di Smk Marga Insan Kamil. Jurnal Sistem Informasi, 04, 12–23.
Saw, M. (2020). TERBAIK DAN PEMBERIAN DISKON MENGGUNAKAN. 13(1), 18–33
Sembiring, F., Fauzi, M. T., Khalifah, S., Khotimah, A. K., & Rubiati, Y. (2020). Sistem Pendukung Keputusan Penerima Bantuan Covid 19 menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus : Desa Sundawenang). Explore:Jurnal Sistem Informasi Dan Telematika, 11(2), 97. https://doi.org/10.36448/jsit.v11i2.1563
KENYA, E. S., & LANKA, S. (2022). SOS CHILDREN’S VILLAGES INTERNATIONAL REQUEST FOR RESEARCH PROPOSALS.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Muhammad Iqbal, Maulisa Syahputri
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
