Penerapan Metode Simple Additive Weighting (SAW) Dalam Sistem Pendukung Keputusan Pemilihan Calon Peserta Pelatihan Kepemimpinan Pengawas Bagi Pejabat Struktural


  • Sri Lestari STIKOM Cipta Karya Informatika, Jakarta, Indonesia
  • Yomi Kusumah * Mail STIKOM Cipta Karya Informatika, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Decision; Support; Training; Leadership; Supervisor

Abstract

In the nomination of candidates for Pelatihan Kepemimpinan Pengawas (PKP), the Badan Kepegawaian dan Pengembangan Sumber Daya Manusia (BKPSDM) Kota Bekasi is still experiencing problems in determining the nominative to be dispatched. The impact of these problems is in the form of a mismatch of the nominations of potential participants with priorities that must be expedited. Therefore, it is necessary to have a system that uses a database so as to assist the leadership in making decisions to determine and determine the nominative priorities of prospective PKP participants. In this study, the authors propose the application of the Simple Additive Weighting (SAW) method. The data collection method used is the method of observation and interviews. The criteria proposed from the interview results include Age (weight: 0.35), Echelon (weight: 0.25), Group (weight: 0.2), Service Period (weight: 0.15) and Employee Work Target Value (weight: 0.05). The system development method used is the Waterfall method. The system is built using the PHP programming language with MySQL as the database. System design using Unified Modeling Language (UML) and system testing using Black-box Testing. With this decision support system, the leadership will get the results of anyone who has the right to be proposed to take part in the Training.

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References

S. Kusumadewi, S. Hartati, A. Harjoko, and Retantyo Wardoyo, Fuzzy Multi-Attribute Decision Making (FUZZY MADM). 2006.

Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan. 2007.

J. E. and L. T. P. Turban, A. Efraim, Decision Support System and Intelegence Systems, 7th ed. Jogjakarta: Penerbit Andi, 2015.

D. Nofriansyah, Konsep Data Mining Vs Sistem Pendukung Keputusan. 2015.

M. K. Dicky Nofriansyah, S.Kom., KONSEP DATA MINING SISTEM PENDUKUNG KEPUTUSAN. Yogyakarta: DEEPUBLISH, 2014.

Asminah, “Penerapan Metode Simple Additive Weigthing Untuk Penentuan Level Kondisi Penyandang Disabilitas,” Build. Informatics, Technol. Sci., vol. 3, no. 4, pp. 559–565, 2022.

S. K. Simanullang and A. G. Simorangkir, “Sistem Pendukung Keputusan Penerimaan Calon Karyawan Menggunakan Metode Simple Additive Weighting,” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 472–478, 2021.

M. R. Ramadhan, M. K. Nizam, and Mesran, “Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Siswa-Siswi Berprestasi Pada Sekolah SMK Swasta Mustafa,” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 459–471, 2021.

I. J. T. Situmeang, S. Hummairoh, S. M. Harahap, and Mesran, “Application of SAW (Simple Additive Weighting) for the Selection of Campus Ambassadors,” IJICS (International J. Informatics Comput. Sci., vol. 5, no. 1, pp. 21–28, 2021.

R. Y. Simanullang, Melisa, and Mesran, “Sistem Pendukung Keputusan Penerima Bantuan Covid-19 Menggunakan Metode Simple Additive Weighting (SAW),” TIN Terap. Inform. Nusant., vol. 1, no. 9, pp. 2–9, 2021.

R. Rusliyawati, D. Damayanti, and S. N. Prawira, “Implementasi Metode Saw Dalam Sistem Pendukung Keputusan Pemilihan Model Social Customer Relationship Management,” Edutic - Sci. J. Informatics Educ., vol. 7, no. 1, pp. 12–19, 2020.

S. H. Sahir, R. Rosmawati, and K. Minan, “Simple Additive Weighting Method to Determining Employee Salary Increase Rate,” Int. J. Sci. Res. Sci. Technol., vol. 3, no. 8, pp. 42–48, 2017.


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Article History
Submitted: 2022-08-21
Published: 2022-09-04
Abstract View: 583 times
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