Ins a businelss, thelrel is a neleld folr prolfelssiolnal elthics belcausel it grelatly affelcts elmplolyelel pelrfolrmancel, elspelcially in thel Custolmelr Selrvicel divisioln. Elmplolyelel pelrfolrmancel is solmelthing that nelelds tol bel colnsidelreld by an olrganizatioln in achielving golals, thelsel golals can bel achielveld by applying prolfelssiolnal elthics whilel wolrking. This relselarch is a qualitativel relselarch delscriptioln Thel relselarch melthold is nolt in thel folrm olf telsting a hypolthelsis, but relvelaling a phelnolmelnoln theln asselsseld and colnclusiolns drawn as an answelr. In qualitativel relselarch meltholds, it is mandatolry tol usel natural relselarch meltholds belcausel thel relselarch is carrield olut with natural colnditiolns. Thel solurcel olf data folr relselarch is using primary data by colnducting intelrvielws. Thel relsults olf this study sholw that thel elthical rellatiolnship olf Custolmellrvicel tol elmplolyelel pelrfolrmancel whilel selrving custolmelrs must usel elthics.

This relselarch was condulcteld to deltelrminel thel elffelct of incelntivels on elmployelel pelrformancel at Bank BJB Majalelngka Branch. Thel melthod ulseld is delscriptivel qulantitativel with a Likelrt scalel. Thel telchniqulel of this relselarch was pulrposivel sampling, a samplel of 42 elmployelels welrel takeln at Bank Bjb Majalelngka Branch. Data collelction telchniqulels ulsel primary data gelnelrateld from qulelstionnairels that havel beleln telsteld for validity, relliability, hypothelsis telsting of data ulsing partial telst (t) and telst of thel coelfficielnt of deltelrmination. Thel relsullts of thel stuldy concluldeld that thel incelntivel variablel has a significant elffelct on elmployelel pelrformancel variablels. Partially (t) thel incelntivel variablel (X) has a positivel and significant elffelct on elmployelel pelrformancel (Y) with t coulnt 11.420 > t tablel 1.68288Keywords:Incelntivels, elmployelel pelrformancel
This relselarch was condulcteld to deltelrminel thel elffelct of incelntivels on elmployelel pelrformancel at Bank BJB Majalelngka Branch. Thel melthod ulseld is delscriptivel qulantitativel with a Likelrt scalel. Thel telchniqulel of this relselarch was pulrposivel sampling, a samplel of 42 elmployelels welrel takeln at Bank Bjb Majalelngka Branch. Data collelction telchniqulels ulsel primary data gelnelrateld from qulelstionnairels that havel beleln telsteld for validity, relliability, hypothelsis telsting of data ulsing partial telst (t) and telst of thel coelfficielnt of deltelrmination. Thel relsullts of thel stuldy concluldeld that thel incelntivel variablel has a significant elffelct on elmployelel pelrformancel variablels. Partially (t) thel incelntivel variablel (X) has a positivel and significant elffelct on elmployelel pelrformancel (Y) with t coulnt 11.420 > t tablel 1.68288.

The purpose of this paper is to analyze the effect of workload on the effectiveness of work work of employees of the Ministry of Trade. This research method is quantitative, with the number of samples taken as many as 31 in the city of Bandung. Data collection techniques use primary data generated from questionnaires that have been tested for validity, reliability, partial hypothesis (T), and coefficient of determination (R2). From the validity test table get the results of the analysis of both variables, namely; workload (x) and work effectiveness (Y) Obtain R-count values > R-Tables. According to the provisions, a variable is said to be valid if the value of R-Calculate > R-Table with a minimum of 0.5. From the reliability test table, the results of all variables have a greater value of Crobach's alpha > 0.6, which means that all variables can meet standard and realistic criteria. From the test table T get the workload sig value (X) 0.019 < 0.5 and the calculated T value 2.495 > 1.69726. This means that there is an effect of workload (X) on work effectiveness (Y). From the R2 test table, the value in the Adjusted R Square is 0.148, which means that the effect of workload (X) on work effectiveness (Y) in the trade service is 54.8%, while the remaining 45.2% is influenced by other variables