FUZZY LOGIC APPLICATION ON EMPLOYEE ACHIEVEMENT ASSESSMENT (CASE STUDY: EDUCATION QUALITY ASSURANCE INSTITUTE OF MALUKU PROVINCE)

  • Nurhidayah Nurhidayah Pattimura University
  • Yopi Andry Lesnussa Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Pattimura University https://orcid.org/0000-0002-8729-3437
  • Zeth Arthur Leleury Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Pattimura University
DOI: https://doi.org/10.30598/barekengvol16iss3pp877-886
Keywords: Fuzzy Logic, work performance value, Mamdani method

Abstract

Employee achievement assessment in an agency is essential for agency planning and evaluation. Therefore, the Employee achievement assessment must be carried out with a good and appropriate method so that it can guarantee fair and satisfactory treatment for the assessed employees. The value of employee achievement is determined by 60% of the target value of employee achievement and 40% of the average employee behavior value consisting of service orientation, integrity, commitment, discipline, and cooperation. The writing and discussion of this research are about the application of the fuzzy logic Mamdani method using MATLAB software in determining the work performance value of the Maluku Education Quality Assurance Institution (LPMP) employees based on the target value of employee achievement and behavioral values. The Mamdani method’s calculation level of truth is 94%, so it can be concluded that the fuzzy logic of the Mamdani method can be used to measure the performance value of employees.

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References

A. Shaout and MK Yousif, “Performance Evaluation- Methods and Techniques Survey,” International Journal of Computer and Information Technology, vol. 3, no. 5, pp. 966-967, 2014.

GC Ananda, "The Effect of Job Performance Assessment on Employee Promotion at Panca Budi Medan College," vol. 2, no. 2, pp. 102-103, 2019.

N. Ramadhani and U., “Application of Employee achievement Assessment at Madura University Using Subtle Logic,” Journal of Link, vol. 25, no. 2, pp. 26-27, 2016.

DL Rahakbauw, FJ Rianekuay and YA Lesnussa, "Application of the Fuzzy Mamdani Method to Predict the Amount of Rubber Production (Case Study: Rubber Production Inventory and Demand Data at PTP Nusantara XIV (Persero) Awaya Plantation, Elpaputih Bay, Maluku-Indonesia)," Scientific Journal Mathematics and Applied, vol. 16, no. 1, pp. 120-121, 2019.

P. Fauziah, "Development of Fuzzy Logic Algorithm for Optimizing Electrical Power in a Room," Jakarta, 2009.

WN Purwanti and L. Patria, "Application of Fuzzy Logic in Employee achievement Assessment: A Case Study of the Open University," South Tangerang, 2013.

A. Muhammad and G., "Development of Teacher Performance Assessment Applications in Junior High Schools (SMP) Using Fuzzy Logic (Case Study: SMP Negeri 3 Mandau," Student Journal of Computer and Information Technology Applications, vol. 1, no. 1, pp.47-48, 2019.

MA Londa, K. Sara, and M. Radja, "Application of Fuzzy Logic Methods in Lecturer Performance Evaluation,” Journal of Matrix, vol. 10, no. 2, pp. 78-79, 2020.

HN Hadi and WF Mahmudy, “Employee achievement Assessment Using Fuzzy Tsukamoto,” Journal of Information Technology and Computer Science (JTIIK), vol. 2, no. 1, pp. 41-42, 2015.

Setiano and S. Marwoto, “Fuzzy Logic Modeling on Damage to Concrete Bridges,” UNS Civil Engineering Media, vol. 10, no. 1, pp. 28-29, 2010.

DL Rahakbauw, "Application of Fuzzy Logic Sugeno Method to Determine Amount of Bread Production Based on Data Inventory and Total Demand (Case Study: Sarinda Ambon Bread Factory)," Barekeng: Journal of Applied and Mathematical Sciences, vol. 9, no. 2, pp. 121-122, 2015.

D. Umpenawany, "Modeling the Accreditation Value of Vocational Schools in Maluku Province Using the MATLAB GUI-Based Mamdani Method," Ambon, 2021.

S. Frans, Sets and fuzzy logic and their applications, Yogyakarta: Graha Ilmu, 2006.

D. Mardhiyana, "Assessment of Learning Outcomes in the 2013 Curriculum Using Fuzzy Logic Mamdani Method," Seminar on Mathematics and Mathematics Education, UNY, pp. 18-20, 2017.

A. Krisma, M. Azhari and PP Widagdo, "Comparison of Double Exponential Smoothing and Triple Exponential Smoothing Methods in Error Rate Parameters Mean Absolute Percentage Error (MAPE) and Means Absolute Deviation (MAD)," Proceedings of the National Seminar on Computer Science and Information Technology, vol. 4, no. 2, 2019.

Published
2022-09-01
How to Cite
[1]
N. Nurhidayah, Y. Lesnussa, and Z. Leleury, “FUZZY LOGIC APPLICATION ON EMPLOYEE ACHIEVEMENT ASSESSMENT (CASE STUDY: EDUCATION QUALITY ASSURANCE INSTITUTE OF MALUKU PROVINCE)”, BAREKENG: J. Math. & App., vol. 16, no. 3, pp. 877-886, Sep. 2022.
Issue
Vol 16 No 3 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

Copyright (c) 2022 Nurhidayah Nurhidayah, Yopi Andry Lesnussa, Zeth Arthur Leleury

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