Decision Support System Determination Of Employees Receiving Bonus Using The Weighted Product Method
Abstract
Decision support systems are part of computer-based information systems including knowledge-based systems or knowledge management that are used to support decision making in an organization or company. It can also be said as a computer system that processes data into information for making decisions on specific semi-structured problems. The Wighted Product method is part of the Fuzzy Multi Attribute Decision Making (FMADM) concept where normalization is required in the calculation. The Weighted Product method is expected to be able to develop a decision support system software that can be used by an agency, which will be an alternative choice and give a weighted value to the comparison of alternatives and their criteria, while the criteria are discipline, responsibility, loyalty and quality of work. The criteria have been determined by the company. The results showed that the use of the Weighted Product as a decision support system model for determining employee bonus recipients at UD. Rama Jaya Trading can assist company owners in determining which employees are entitled to be recommended to receive multi-criteria weighting bonuses and selection more quickly, carefully and more effectively.
Downloads
References
2. Nababan, D., & Rahim, R. (2018). Employee Bonus Reward Decision Support System With Topsis Method. Journal of Information Systems Development (ISD), 3(1).
3. Agusli, R., Dzulhaq, MI, & Khasanah, U. (2017). Decision Support System for Giving Employee Annual Bonus Using TOPSIS Method. Global Sisfotek Journal, 7(2).
4. Wijaya, VP, & Marisa, F. (2018). Application Design of Employee Bonus Determination With TOPSIS Method. JOINTECS (Journal of Information Technology and Computer Science), 3(2), 91-94.
5. Agustin, YH, & Kurniawan, H. (2017, November). Lecturer Performance Assessment Decision Support System Using the Weighted Product Method (Case Study: Stmik Pontianak). In National Seminar on Informatics (SNIf) (Vol. 1, No. 1, pp. 177-182).
6. Ningtyas, N. (2019). DESIGN AND BUILD EMPLOYEE BONUS DETERMINATION APPLICATION BASED ON PERFORMANCE ASSESSMENT USING WEIGHTED PRODUCT METHOD (Case Study: CV. Hiperlink Bantul, Yogyakarta) (Doctoral dissertation, University of Technology Yogyakarta).
7. Primary, YA (2018). Decision Support System for Determining Employee Bonuses Using the Weighted Product Method at the Solution Partner Store. Journal of Bangkit Indonesia, 7(2), 66-73.
8. Subhi, DH, & Sandi, MK (2019). Implementation of the Fuzzy Multiple Attribute Decision Making-Weighted Product Method for Determining Employee Bonuses. In Polynema Applicative Informatics Seminar (pp. 394-399).
9. SUSANTO, EA (2017). Decision Support System for Giving Employee Bonuses Using the Weighted Product (Wp) (Doctoral Dissertation, UMK) Method.
10. Ainun, N., Kusumawati, D., & Kaharu, S. (2017). DETERMINATION OF EMPLOYEE BONUS USING WEIGTED PRODUCT IN PALU AGRO BUSINESS COMPANY. SEMNASTEKNOMEDIA ONLINE, 5(1), 3-5.
11. Sham, S. (2018). Lecturer Performance Decision Support System Using the Weighted Product Method (Case Study: Faculty of Engineering, Sheikh-Yusuf Islamic University, Tangerang).
12. Sucipto, BH, & Widjaja, A. (2019). THE APPLICATION OF THE WEIGHTED PRODUCT (WP) METHOD IN THE BEST EMPLOYEE DECISION SUPPORT SYSTEM IN THE SUB-DEPARTMENT OF STAFFING OF THE DIRECTORATE GENERAL OF RURAL DEVELOPMENT OF THE REPUBLIC OF INDONESIA. IDEALIS: InDonEsiA journal Information System, 2(2), 251-256.
13. Alberto, M., & Widjaja, A. (2019). APPLICATION OF THE WEIGHTED PRODUCT (WP) METHOD IN THE BEST EMPLOYEE DECISION SUPPORT SYSTEM AT THE MINISTRY OF DEFENSE, THE WORKING UNIT OF THE DEFENSE FACILITIES AGENCY. IDEALIS: InDonEsiA journal Information Systems, 2(4), 143-146.
14. PUTRO, NN EMPLOYEE REWARD DECISION SUPPORT SYSTEM PT. INDOSATOOREDOO, Tbk. AREA EAST JAVA USING WEIGHTED PRODUCT METHOD.
15. Gunawan, G., & Nugroho, AP (2018). COMPARISON OF DECISION SUPPORT SYSTEMS WEIGHTED PRODUCT AND SIMPLE ADDITIVE WEIGHTING METHODS (Case Study: Selection of Print Media as Promotional Means in Balikpapan). SEMNASTEKNOMEDIA ONLINE, 6(1), 2-8.
