Determination of Competence, Training, and Character of Loyalty Through Personnel Professionalism as Intervening Variables in Guskamla Batam-Indonesia
Eko Agus Susanto,
Chablullah Wibisono and
Indrayani
Additional contact information
Eko Agus Susanto: Department of Economics, Batam University, Riau Islands, Indonesia.
Chablullah Wibisono: Department of Economics, Batam University, Riau Islands, Indonesia.
Indrayani: Department of Economics, Batam University, Riau Islands, Indonesia.
Global Regional Review, 2019, vol. 4, issue 2, 448-457
Abstract:
Guskamla Batam personnel always improve Personnel Professionalism and its quality, both directly and indirectly, but some problems exist, and solutions must be sought. This study used a saturated sample taken from the Census Technique using proportional random sampling, namely personnel in the Guskamla Batam organizational units. The five staff consisting of 120 personnel, were made into the population, the sample in this study. Data analysis techniques in this study using AMOS. There are two stages to the group in analyzing SEM: (1) Measurement Model Analysis (Outer Model), (2) Structural Model Analysis (Inner Model). For Loyalty (LOY) R2 = 0, 789 then the amount of Determination 78.9%. Thus, it can be stated that Loyalty changes are influenced by Competence, Training, Character, and Personnel Professionalism of 78.9%. thus, the problem of the Character of some personnel to support operations is still not optimal, has been answered.
Keywords: Determination of Competence; Training; and Character of Loyalty Through Personnel Professionalism (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://grrjournal.com/jadmin/Auther/31rvIolA2LALJouq9hkR/WdOIgAcxwQ.pdf (application/pdf)
https://www.grrjournal.com/issue/determination-of- ... kamla-batamindonesia (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aaw:grrjrn:v:4:y:2019:i:2:p:448-457
DOI: 10.31703/grr.2019(IV-II).48
Access Statistics for this article
More articles in Global Regional Review from Humanity Only
Bibliographic data for series maintained by M Imran Khan ( this e-mail address is bad, please contact ).