Published: 2026-02-10
Comparative Analysis of SAW and WP Methods for Employee Selection in MSMEs
DOI: 10.35870/ijmsit.v6i1.6511
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Abstract
The process of selecting new employees in Micro, Small, and Medium Enterprises (MSMEs) is often still carried out subjectively, which can lead to less optimal decision-making. This study aims to apply and compare the Simple Additive Weighting (SAW) and Weighted Product (WP) methods as decision support systems for new employee selection in MSMEs. The evaluation is conducted based on four criteria: education level, work experience, skill competency, and interview results. The dataset consists of ten job candidates that are processed through weight normalization, preference value calculation, and ranking stages. The results show that both methods are capable of providing objective and measurable recommendations for selecting the best employees, although differences appear in the final ranking of candidates because the SAW method calculates scores by summing weighted normalized values for each criterion, while the WP method multiplies each criterion value raised to its weight, making the influence of high or low scores more pronounced. The SAW method is simpler and easier to understand, while the WP method is more sensitive to criterion weights and better distinguishes candidates with varied performance levels. The best alternative tends to consistently rank at the top in both methods. Therefore, the implementation of the SAW and WP methods can assist MSMEs in making systematic and accurate employee selection decisions based on a dataset of ten candidates evaluated across four assessment criteria.
Keywords
Decision support system ; SAW ; WP ; MSMEs
Article Information
This article has been peer-reviewed and published in the International Journal of Management Science and Information Technology. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 6 No. 1 (2026)
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Section: Articles
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Published: %750 %e, %2026
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License: CC BY 4.0
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Copyright: © 2026 Authors
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DOI: 10.35870/ijmsit.v6i1.6511
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Ni Made Yeni Dwi Rahayu
Diploma Three in Hospitality Study Program, Politeknik Negeri Bali, Jembrana Regency, Bali Province, Indonesia
Ni Putu Dewi Eka Yanti
Diploma Three in Hospitality Study Program, Politeknik Negeri Bali, Jembrana Regency, Bali Province, Indonesia
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Adibrata, D. A., & Mustafidah, H. (2021). Sistem Pendukung Keputusan Online untuk Menentukan Kelayakan Tenaga Kerja Indonesia (TKI) Menggunakan Metode Simple Additive Weighting (SAW) dan Weighted Product (WP). Sainteks, 18(1). https://doi.org/10.30595/sainteks.v18i1.10563
-
Alaina, S., Ananda, S. D., Hidayaty, D. E., Pertiwi, S., Sandi, H., Buana, U., & Karawang, P. (2023). Penerapan Proses Rekrutmen dan Seleksi Karyawan pada UMKM Tree Burger House. Madani: Jurnal …, 1(5).
-
Aldisa, R. T., Nugroho, F., Mesran, M., Sinaga, S. A., & Sussolaikah, K. (2022). Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting (SAW). Journal of Information System Research (JOSH), 3(4). https://doi.org/10.47065/josh.v3i4.1955
-
Aulia Nurizki, & Naely Farkhatin. (2024). Sistem Pendukung Keputusan Penggunaan Pewangi Setrika Terfavorit Di Sukmajaya Laundry Menggunakan Metode Weighted Product. Jurnal Ilmiah Sains Teknologi Dan Informasi, 2(4). https://doi.org/10.59024/jiti.v2i4.904
-
Bungkuran, A., Tompi, G. B., & Mambo, R. (2022). Analisis Strategi Dinas Koperasi Ukm Dan Tenaga Kerja Dalam Menanggulangi Pengangguran Di Kabupaten Kepualauan Talaud. Jurnal Administrasi Publik, VIII(121).
-
Eska, J., Nia Sari, A., & Yptk, U. (2023). Implementasi Metode Weighted Product Seleksi Penerima Bantuan Disabilitas Pada Dinas Sosial Kabupaten Batubara. Journal of Science and Social Research, (1).
-
Etikawati, E., & Udjang, R. (2016). Strategi Rekrutmen Dan Seleksi Terhadap Kinerja Karyawan. Jurnal Perilaku Dan Strategi Bisnis, 4(1). https://doi.org/10.26486/jpsb.v4i1.443
-
Fatmariani, Jhonsen Syaftriandi, M., & Hartati, E. (2024). Pengenalan Tren Desain Grafis Untuk Digital Marketing Bagi UKM Mitra Binaan PT. Kilang Pertamina Internasional Unit III Plaju. BECERIS, 2(2).
-
Habibie, M. H. (2023). Pelaksanaan Sertifikasi Halal Terhadap Usaha Mikro Kecil Menengah (Umkm) Di Kota Padang. Ekonomi Islam, 14(2). https://doi.org/10.22236/jei.v14i2.9266
-
Hadiana, A. W. (2022). Sistem Pendukung Keputusan Pemberian Penghargaan Umkm Skala Mikro Di Kabupaten Bandung Barat Menggunakan Metode Analytic Hierarchy Process. Informatics and Digital Expert (INDEX), 3(1). https://doi.org/10.36423/index.v3i1.688
-
Ikhlas, S. (2022). Analisis Peran UKM Dalam Meningkatkan Pemberdayaan Perempuan Dalam Perspektif Islam. Ekopem: Jurnal Ekonomi Pembangunan, 4(4). https://doi.org/10.32938/jep.v4i4.2744
-
Khotimah, D. K., Sunoto, I., & Juliana, J. (2023). Perancangan Aplikasi Sistem Seleksi Penerimaan Karyawan pada PT Trac Astra Berbasis Java. Jurnal Riset Dan Aplikasi Mahasiswa Informatika (JRAMI), 4(01). https://doi.org/10.30998/jrami.v4i01.4684
-
Mardian, D., Neneng, N., Puspaningrum, A. S., Hasibuan, A., & Tinambunan, M. H. (2023). Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Metode Weight Product (WP). Jurnal Informatika Dan Rekayasa Perangkat Lunak, 4(2). https://doi.org/10.33365/jatika.v4i2.2593
-
Mulyani, N., & Hutahaean, J. (2021). Penerapan Metode Simple Additivie Weighting Untuk Mengefektifkan Penilaian Kinerja Karyawan. JURNAL MEDIA INFORMATIKA BUDIDARMA, 5(3). https://doi.org/10.30865/mib.v5i3.3103
-
Nathaniel, D., Padli Pratama, F., Farhan, M., & Asido Elyakim P, V. (2024). Sistem Pendukung Keputusan Pemilihan Laptop Dengan Menerapkan Metode Simple Additive Weighting (SAW). Journal of Data Analytics, Information, and Computer Science, 1(4). https://doi.org/10.70248/jdaics.v1i4.1396
-
Novita, L., Wulan, H. S., & Priono, R. D. (2022). Pengaruh Penilaian Kinerja, Profesionalisme, dan Keterampilan Terhadap Kinerja Karyawan UMKM HR. Collection Bagian Tenun di Desa Troso Kabupaten Jepara. Journal of Management, 8(2).
-
Pahira, S. H., & Rinaldy, R. (2023). Pentingnya Manajemen Sumber Daya Manusia (MSDM) Dalam Meningkatkan Kinerja Organisasi. COMSERVA : Jurnal Penelitian Dan Pengabdian Masyarakat, 3(02). https://doi.org/10.59141/comserva.v3i03.882
-
Putra, D. H., Larasati, L. Y., & Wibowo, S. A. (2025). Pengaruh Rekrutmen Dan Seleksi Terhadap Kinerja Perusahaan: Literature Review. RIGGS: Journal of Artificial Intelligence and Digital Business, 4(2). https://doi.org/10.31004/riggs.v4i2.446
-
Saputri, N. D. M., Yuliani, Y., & Putri, Y. H. (2021). Peningkatan Kemampuan UMKM dalam Melakukan Analisis Kelayakan Usaha Agar Dapat Bertahan di Masa Pandemi COVID-19. Sricommerce: Journal of Sriwijaya Community Services, 2(2). https://doi.org/10.29259/jscs.v2i2.69
-
Suartini, N. K. Y., Divayana, D. G. H., & Dewi, L. J. E. (2023). Comparison Analysis of AHP-SAW, AHP-WP, AHP-TOPSIS Methods in Private Tutor Selection. International Journal of Modern Education and Computer Science, 15(1). https://doi.org/10.5815/ijmecs.2023.01.03
-
Supriadi, I. (2021). Implementasi Algoritma SAW Pada Aplikasi Penentuan Pembimbing Tugas Akhir Mahasiswa (Studi Kasus: Prodi Informatika Universitas Langlangbuana). INTERNAL (Information System Journal), 4(1). https://doi.org/10.32627/internal.v4i1.284
-
Supriyanti, W. (2023). Comparative analysis of the sensitivity test of the SAW and WP methods in scholarship selection. Jurnal Teknik Informatika C.I.T Medicom, 15(2). https://doi.org/10.35335/cit.vol15.2023.471.pp84-95
-
Wahyuni, N., Setyaningsih, E., Hermawansyah, A., Canta, D. S., Kinanti, D. P., Surmiati, S., & Sudarman, S. (2023). Sistem Pendukung Keputusan Penerima Beasiswa Murid Berprestasi dengan Metode SAW. Journal of Computer System and Informatics (JoSYC), 4(3). https://doi.org/10.47065/josyc.v4i3.3362
-
Wijaya, R., Yadewani, D., & Wati, H. (2024). Transformasi Digital Dan Kinerja Usaha Kecil Dan Menengah: Bukti Empiris Di Kota Pariaman Digital. Journal UNRIKA, 13.
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