Decision Support System for Educational Staff Promotion in Universitas Negeri Gorontalo

Abstract

This study aims to develop a decision support system for promotion of education staff based on work performance and work behavior using the Fuzzy AHP method to avoid subjective judgments. AHP method is chosen to overcome doubts and uncertainties in the assessment of educational staff performance. There are 2 criteria (work performance and work behavior) and 10 sub-criteria (quantity, quality, time, cost, service orientation, integrity, commitment, discipline, teamwork, and leadership) for assessing the performance of educational staff. The system developed was able to provide the best alternative in selecting educational staff to be promoted in certain positions. Nevertheless there are shortcomings, namely the absence of standard rules in determining the weight and level of interest in each criterion.

Keywords

work performance, work behavior, Fuzzy AHP

References

  • [1] Martoyo S 2007 Manajemen Sumber Daya Manusia [Human Resource Management] Edisi 5 Cetakan pertama BPFE Yogyakarta.
  • [2] Hasibuan M S P 2008 Manajemen Sumber Daya Manusia [Human Resource Management] PT bumi aksara Jakarta.
  • [3] Peraturan Pemerintah Republik Indonesia No. 17 Tahun 2010. http://luk.staff.ugm.ac.id/atur/PP17-2010Lengkap.pdf. Accsess February 5 2019.
  • [4] Politeknik Negeri Bandung 2013 Pelaksanaan Penilaian Prestasi Kerja PNS (Pengganti DP3) Slide Presentasi.
  • [5] Primarizky A 2013 Pembangunan Sistem Pendukung Keputusan Promosi Jabatan Menggunakan Weighted Product (WP) Studi Kasus: Badan Kepegawaian Negara Kantor Wilayah III Bandung [Decision Support System for Job Promotion Using Weighted Product (WP) Case Study National Civil Service Agency Region III Bandung] Universitas Pendidikan Indonesia.
  • [6] Abdullah D, Djanggih H, Suendri S, Cipta H, and Nofriadi N 2018 Fuzzy Model Tahani as Decision Support System for Employee Promotion. International Journal of Engineering and Technology. 7. 10.14419/ijet.v7i2.5.13958.
  • [7] Taufiq R and Sugiharto A 2011 The Decision Support System Design of Employee Performance Appraisal Using Analytical Hierarchi Process ( AHP ) Method Univ. Diponegoro 283–8
  • [8] Wang Y M and Chin K S 2011 Fuzzy Analytic Hierarchy Process: A Logarithmic Fuzzy Preference Programming Methodology Int. J. Approx. Reason. 52 541–53.
  • [9] Lu J, Zang G, Ruan D and Wu F 2007 Multi-objective group decision making: methods, software and applications with fuzzy set technique Imperial College Press, London.
  • [10] Özdağoğlu A and Özdağoğlu G 2007. Comparison of AHP And Fuzzy AHP For The Multi-criteria Decision Making Processes with Linguistic Evaluations. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. Yıl: 6 Sayı:11Bahar 2007/1 s. 65-85
  • [11] Chan F T S, Kumar N, Tiwari M K, Lau H C W and Choy K L 2008 Global Supllier Selection: A Fuzzy-AHP Aprroach. International Journal of Production Research, No. 14, Vol. 46, 3825-3857
  • [12] Stoltmann A, Bućko P and Jaskólski M 2016 Multi-criteria investment decision support model using fuzzy analytic hierarchy process (F-AHP) method for power industry Zesz. Nauk. Wydz. Elektrotechniki i Autom. Politech. Gdańskiej 47 179–82

DOI : https://doi.org/10.32698//tech1315127