Partial Least Square merupakan salah satu teknik analisis statistika multivariat yang dapat menangani banyak variabel respon dan sekaligus variabel eksplanatori. Teknik ini merupakan teknik SEM yang sifatnya lebih fleksibel, karena tidak memerlukan data yang berdistribusi normal. PLS dapat diterapkan kedalam model refletif maupun formatif dengan jumlah sampel yang kecil. Kegunaan PLS yaitu sebagai prediktor untuk mengetahui variabel yang mempengaruhi penagaruh kepuasaan kerja dan displin terhadap kinerja karyawan. Variabel yang digunakan yaitu kepuasaan kerja, displin kerja, dan kinerja karyawan. Hasil penelitian menunjukkan bahwa terdapat satu indikator yang tidak tepenuhui persyaratan yaitu indikator kinerja karyawan . harus dilakukan eliminasi pada indikator yang tidak sesuai syarat dari model PLS. Setelah dieliminasi , terdapat peningkatan nilai R square setelah dilakukan penegiliminasian pada indiaktor X1.1 dengan variabel yang berpengaruh secara signifikan. Kata Kunci : PLS, Kepuasaan kerja, displin kerja, kinerja karyawan

Partial least square is one of the mulvariat statistical analysis techniques that can handle many response variables as well as explanatory variables. This technique is a SEM technique that is more flexible, because it does not require normally distributed data. PLS is applied to both refletive and formative models with a small sample size. PLS uses that is as a predictor to find out the variables that affect job satisfaction and work discipline on employee performance. The variables used are job satisfaction, work discipline, and employee performance. The results of the study that there is one indicator that does not meet the requirements, namely X1.1, must be eliminated on indicators that are not in accordance with the requirements of the PLS model. Then done further, there is an increase in the value of R square after elimination of indicator X1.1, showing that, (1). Job satisfaction does not affect employee performance, (2). Work discipline variables affect employee performance, so from this study it can be concluded that To meet employee performance, it is necessary to improve the variables that have significant influence in the results of this study. Keywords: keywords: PLS, job satisfaction, work discipline, employee performance

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