Weighted Product and Its Application to Measure Employee Performance

The decision support system of employee performance index appraisal is a decision support system that can assist decision makers for employee performance appraisal at the Pringsewu district revenue department. As for the purpose of this DSS namely 1. To make decisions in the field of human resources to come, 2. To evaluate the performance of each employee in achieving the target work that has been determined , 3. For improve employee performance in the future. The problems to be solved are: 1. How to change the assessment process that used to still use manual way by computerization. 2. How to apply the progress of change in today's sophisticated technology. In this decision system using Weighted Product (WP) weighting method of WP method is the choice of method on decision support system of employee performance appraisal index at revenue department of Pringsewu district. Weighted product method is a method of completion by using multiplication to attribute attribute rating in which rating must be prefixed with bob ot attribute in question. This decision support system can perform the process of calculating employee performance appraisal so that it can realize a fair assessment based on existing criteria calculations on this system using weighted product weighting (WP) that can produce the best employee performance appraisal system calculation from the highest value of 0.250 to the lowest value of 0.133 . The highest score is the best employee while the lowest score is the worst employee performance. This system can present employee performance appraisal reports quickly and clearly so that more effective and efficient.

[1]  R. Elavarasu,et al.  Closed loop Fuzzy Logic Controlled Interleaved DC-to-DC converter Fed DC Drive System , 2018 .

[2]  S. Mesbah,et al.  A GIS-based DSS for evacuation planning , 2012, 2012 22nd International Conference on Computer Theory and Applications (ICCTA).

[3]  A. Maseleno,et al.  Move Prediction in Start Kicking of Sepak Takraw Game Using Dempster-Shafer Theory , 2012, 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT).

[4]  Muhammad Rizqi Al Akbar,et al.  Dismissal Working Relationship using Analytic Hierarchy Process Method , 2018 .

[5]  Andino Maseleno,et al.  Fuzzy Logic and Mathematical Theory of Evidence to Detect the Risk of Disease Spreading of Highly Pathogenic Avian Influenza H5N1 , 2015 .

[6]  Andino Maseleno,et al.  Hepatitis disease detection using Bayesian theory , 2017 .

[7]  Ratih Fitria Jumarni,et al.  An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems , 2018 .

[8]  Andino Maseleno,et al.  Fuzzy Logic and Dempster-Shafer belief theory to detect the risk of disease spreading of African Trypanosomiasis , 2015, 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC).

[9]  Tri Susilowati,et al.  Finding Kicking Range of Sepak Takraw Game: Fuzzy Logic and Dempster-Shafer Theory Approach , 2016 .

[10]  Siti Mukodimah,et al.  Fuzzy Simple Additive Weighting and its Application to Toddler Healthy Food , 2018 .

[11]  M Kiran Kumar,et al.  An improved 1-φ rectifier system using fuzzy logic control with 3-φ variable frequency drive , 2018 .

[12]  Miftachul Huda,et al.  Combining the previous measure of evidence to educational entrance examination , 2017 .

[13]  Andino Maseleno,et al.  Fuzzy logic and dempster-shafer theory to find kicking range of sepak takraw game , 2013, 2013 5th International Conference on Computer Science and Information Technology.

[14]  M Karthikeyan,et al.  Optimum Distribution of Power by Intelligent Fuzzy Sets Analyzer and Controller , 2018 .

[15]  Surjeet Dalal,et al.  Optimizing performance of fuzzy decision support system with multiple parameter dependency for cloud provider evaluation , 2017, International Journal of Engineering & Technology.

[16]  Radivoje Borivoje Antic,et al.  Definition of manufacturability - product of mathematical expressions and fuzzy logic for his early design , 2013 .

[17]  A. Amudha,et al.  Hybrid harmony search algorithm & fuzzy logic for solving unit commitment problem with wind power uncertainty , 2018 .

[18]  E P EPhzibah,et al.  Big data management with machine learning inscribed by domain knowledge for health care , 2017 .

[19]  A Sarath kumar,et al.  Efficient Routing In Wsn Using Enhanced Fuzzy Logic , 2018 .

[20]  A. Maseleno,et al.  Skin infection detection using Dempster-Shafer theory , 2012, 2012 International Conference on Informatics, Electronics & Vision (ICIEV).

[21]  Victor M. Castaño,et al.  Fuel flow control through a fuzzy servomechanism: a comparative analysis , 2014 .

[22]  K Reena,et al.  Intelligent Decision Support System for Home Automation - ANFIS Based Approach , 2018 .

[23]  Andino Maseleno,et al.  Avian influenza (H5N1) expert system using Dempster-Shafer theory , 2012, Int. J. Inf. Commun. Technol..

[24]  Ashit Kumar Dutta Computing with words using intuitionistic fuzzy logic programming , 2018 .

[25]  Miftachul Huda,et al.  Hau-Kashyap approach for student’s level of expertise , 2019, Egyptian Informatics Journal.

[26]  N S.Srivatchan,et al.  Harmonic reduction in a renewable energy islanded microgrid with fuzzy PID controller , 2018 .

[27]  Andino Maseleno,et al.  Skin Diseases Expert System using Dempster-Shafer Theory , 2012 .

[28]  A. Umamakeswari,et al.  Managing Irrigation in Indian Agriculture Using Fuzzy Logic – A Decision Support System , 2018 .

[29]  S. Prayla Shyry,et al.  Distributed fuzzy logic based cluster head election scheme (DFLCHES) for prolonging the lifetime of the wireless sensor network , 2017 .

[30]  Andino Maseleno,et al.  Finding Kicking Range of Sepak Takraw Game: A Fuzzy Logic Approach , 2015 .

[31]  M Rathaiah,et al.  Adaptive Fuzzy Controller Design for Solar And Wind Based Hybrid System , 2018 .

[32]  Andino Maseleno,et al.  Ebola virus disease detection using Dempster-Shafer evidence theory , 2015, 2015 IEEE International Conference on Progress in Informatics and Computing (PIC).

[33]  Andino Maseleno,et al.  Dempster-Shafer Theory for Move Prediction in Start Kicking of The Bicycle Kick of Sepak Takraw Game , 2014, ArXiv.

[34]  Andino Maselenoa,et al.  Third International Conference on Recent Trends in Computing ( ICRTC 2015 ) Fuzzy logic and mathematical theory of evidence to detect the risk of disease spreading of Highly Pathogenic Avian Influenza H 5 N 1 , 2015 .

[35]  Pradeep Vishnuram,et al.  Investigations on stability and performance of a varia-ble frequency based fuzzy logic controller for induction cooking system , 2017 .

[36]  P Selvaraju,et al.  Formation and speciation of Sullage Water Natural Conduct analysis of Fuzzy logic Application by Solar Distillation , 2018 .

[37]  Muhammad Muslihudin,et al.  A Solution to Competency Test Expertise of Engineering Motorcycles using Simple Additive Weighting Approach , 2018 .

[38]  Andino Maseleno,et al.  Poultry Diseases Warning System using Dempster- Shafer Theory and Web Mapping , 2012 .

[39]  Andino Maseleno The Dempster-Shafer Theory Algorithm and its Application to Insect Diseases Detection , 2013 .

[40]  Andino Maseleno,et al.  African Trypanosomiasis Detection using Dempster-Shafer Theory , 2012, ArXiv.