Abstract

Bureaucracy condition in Indonesia reveals many shortcomings. One of bureaucratic reformation from the government is the remuneration for Civil Servants (PNS). Remuneration is a part of welfare received by employees, which can be used as an element of motivation for employees to excel and improve their performance. Variables in this study are interrelated. Motivation for achievement (ξ1), characteristics of work environment (ξ2) and training transfer (ξ3) are supposedly affect the performance (η1), while the performance (η1) affects the remuneration (η2). Both the performance and remuneration are constructs or latent variables, which cannot be measured directly. Therefore, the SEM method is considered able to resolve these problems. However, SEM has some assumptions that must be met. The assumptions were frequently violated when real data is used, so we need a method that is free of assumptions, free distribution and flexible that is variance-based SEM or namely partial least square (PLS). PLS is an estimation method that focuses on maximizing the variance among latent variables, which is an alternative to OLS regression. This study was conducted to model the remuneration of educational staff in ITS by using Partial Least Square (PLS) with path scheme, centroid scheme, and factor scheme. The results show that the best method for modeling the remuneration of educational staff in ITS is PLS with factors scheme, which yields Q-square value of 0.7262, R-square value of 67.69 percent and 15.28 percent for performance and remuneration respectively. Structural model obtained with factors scheme PLS is η1 = 0,6296 ξ1 + 0,1795 ξ2 + 0,0843 ξ3 + ξ1 and η2 = 0,3909 η1 + ξ2.

Original languageEnglish
Title of host publication2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016
Subtitle of host publicationProceeding of ConFAST 2016 Conference Series: International Conference on Physics and Applied Physics Research, ICPR 2016, International Conference on Industrial Biology , ICIBIO 2016, and International Conference on Information System and Applied Mathematics, ICIAMATH 2016
EditorsRara Sandhy Winanda, Qonitatul Hidayah, Iwan Tri Riyadi Yanto, Nursyiva Irsalinda, Oktira Roka Aji, Damar Yoga Kusuma, Syarifah Inayati
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414037
DOIs
Publication statusPublished - 17 Jun 2016
Event2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016 - Yogyakarta, Indonesia
Duration: 25 Jan 201626 Jan 2016

Publication series

NameAIP Conference Proceedings
Volume1746
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2016 Conference on Fundamental and Applied Science for Advanced Technology, ConFAST 2016
Country/TerritoryIndonesia
CityYogyakarta
Period25/01/1626/01/16

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