Decision Support System for Internship Acceptance at Digital Connection Using the Simple Additive Weighting Method
DOI:
https://doi.org/10.35870/ijsecs.v4i3.2996Keywords:
Internship Program, Decision Support System, Simple Additive Weighting, Digital Connections, Recruitment ProcessAbstract
The internship program serves as a bridge for students into the professional world. At Digital Connection, the current manual selection process for internship candidates leads to inefficiency and potential errors. This study aims to implement a Decision Support System using the Simple Additive Weighting (SAW) method to improve the efficiency of the internship selection process. The SAW method is selected for its capability to provide accurate assessments based on predefined criteria and preference weights, as well as to rank the best alternatives. The system is developed as a web-based application with full access for HR (Admin), including tests as evaluation criteria. This research has resulted in the creation of a decision support system utilizing the Simple Additive Weighting (SAW) calculation method. System testing, conducted using black-box testing, shows that all primary functions and buttons of the system, such as adding, editing, deleting, searching, logging in, managing criteria and sub-criteria data, managing alternative data, calculating scores, exporting, and logging out, function properly and as expected. Furthermore, user testing with 6 criteria and 10 alternative input data points revealed the highest rank of 100% for Wahyu, followed by Noelino in second place with 76%, Hana in third place with 74%, and the lowest rank for Sanjaya with 58%. These results confirm that the calculation system operates effectively according to the researched method and provides clear ranking evaluations to assist HR (Admin) in determining the most suitable internship candidates. The system was implemented on a website using the waterfall model approach as the development method for the research system.
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Rahino, R. R. A., Wakhidah, R., & Ariyanto, Y. (2023). Sistem pendukung keputusan seleksi peserta magang menggunakan metode Simple Multiple Attribute Rating Technique. JIPETIK Jurnal Ilmiah Penelitian Teknologi Informasi dan Komputer, 4(2), 44–52. https://doi.org/10.26877/jipetik.v4i2.17864
Supiandi, A., Kusnadi, I. T., & Kusnadi, W. (2022). Penerapan Simple Additive Weighting (SAW) untuk sistem penunjang keputusan kenaikan jabatan karyawan. Swabumi, 10(2), 107–114.
Pratiwi, I., Anardani, S., & Putera, A. R. (2023). Rancang Bangun Sistem Informasi Penjadwalan Mata Pelajaran dengan Metode Waterfall. JDMIS: Journal of Data Mining and Information Systems, 1(1), 20-28. https://doi.org/10.54259/jdmis.v1i1.1513.
Gunawan, R. D., Ariany, F., & Novriyadi, N. (2023). Implementasi Metode SAW Dalam Sistem Pendukung Keputusan Pemilihan Plano Kertas. Journal of Artificial Intelligence and Technology Information, 1(1), 29-38. https://doi.org/10.58602/jaiti.v1i1.23.
Windarto, A. P. (2017). Penilaian Prestasi Kerja Karyawan PTPN III Pematangsiantar Dengan Metode Simple Additive Weighting (SAW). Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika), 2(1), 84-95. http://dx.doi.org/10.30645/jurasik.v2i1.22.
Khatami, D. M., Ruuhwan, R., & Sumaryana, Y. (2023). Sistem Pendukung Keputusan Pemilihan Kurir Terbaik Menggunakan Metode Simple Additive Weighting Dan Analytical Hierarchy Process Berbasis Web. Jurnal Informatika dan Teknik Elektro Terapan, 11(3s1).
Sumarlinda, S., & Lestari, W. (2021, April). Clinical Decision Support System for Mapping of Blood Pressure and Heart Rate. In Proceeding of International Conference on Science, Health, And Technology (pp. 190-192). https://doi.org/10.47701/icohetech.v1i1.1119
Ristiana, R., & Jumaryadi, Y. (2021). Sistem Pendukung Keputusan Pemilihan Paket Wedding Organizer Menggunakan Metode SAW (Simple Additive Weighting). Jurnal Sisfokom (Sistem Informasi dan Komputer), 10(1), 25-30. https://doi.org/10.32736/sisfokom.v10i1.946.
Simanullang, S. K., & Simorangkir, A. G. (2021). Sistem Pendukung Keputusan Penerimaan Calon Karyawan Menggunakan Metode Simple Additive Weighting. TIN: Terapan Informatika Nusantara, 1(9), 472-479.
Sukaryati, L. N., & Voutama, A. (2022). Penerapan Metode Simple Additive Weighting pada sistem pendukung keputusan untuk memilih karyawan terbaik. Jurnal Ilmiah MATRIK, 24(3), 260-267.
Yusman, Y., Nadriati, S., & Putra, N. (2022). Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Pada Pt Pelindo I Mengunakan Metode Simple Additive Weighting (Saw). Jurnal Digit: Digital of Information Technology, 12(1), 12-22. https://doi.org/10.51920/jd.v12i1.213.
Gunawan, R. D., Ariany, F., & Novriyadi, N. (2023). Implementasi metode SAW dalam sistem pendukung keputusan pemilihan plano kertas. Journal of Artificial Intelligence and Technology Information, 1(1), 29–38. https://doi.org/10.26877/jait.v1i1.159.
Alfiansyah, R., & Zufria, I. (2023). Decision Support Systems for Career Recommendations for Graduates in Islamic Broadcasting Communication Studies Using ANP and TOPSIS Methods. International Journal Software Engineering and Computer Science (IJSECS), 3(3), 474-486. https://doi.org/10.35870/ijsecs.v3i3.1914.
Julisawati, E. A., & Mardiyati, S. (2023). Selection of High School Majors using a Decision Support System for Students at SMPN 210 Jakarta Using the Profile Matching Method. International Journal Software Engineering and Computer Science (IJSECS), 3(3), 397-403. https://doi.org/10.35870/ijsecs.v3i3.1847.
Siringo-Ringo, E. D., & Sugara, H. (2023). Decision Support System for Selecting the Best Internship Students using SAW Method. Internet of Things and Artificial Intelligence Journal, 3(4), 375-383. https://doi.org/10.31763/iota.v3i4.660.
Butar, R. S. B., Sigalingging, L., Pramono, S., Nuryanto, U. W., & Butarbutar, D. J. A. (2023). Employee Recruitment Decision Support System Using Analytical Hierarchy Process Method in Security Services Companies. Jurnal Informasi dan Teknologi, 177-182. https://doi.org/10.60083/jidt.v5i4.435.
Tanjaya, F. R., & Leo, A. (2019). Design of Decision Support System for New Employee Acceptance with SAW and WP Method in CV Karya Lestari Abadi. Tech-E, 2(2), 36-40. https://doi.org/10.31253/te.v2i2.204.
Meri, R. (2020). Simple additive weighting (SAW) method on the selection of new teacher candidates at integrated Islamic elementary school. IJISTECH (International Journal of Information System and Technology), 4(1), 428-435. https://doi.org/10.30645/IJISTECH.V4I1.80.
Batubara, R. F., & Hasugian, A. H. (2023). Decision Support System For New Employee Acceptance Using AHP and SAW Method. INTECOMS: Journal of Information Technology and Computer Science, 6(2), 641-649. https://doi.org/10.31539/intecoms.v6i2.7371.
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