The Influence of Training on Lecturer’s Performance

Muhammad Noval

, Ida Wahyuningrum

, Yusniarti

, Henny Madora

Department of Management Informatic, State Polytechnic of Sriwijaya, Palembang, Indonesia

Keywords: Training, performance.

Abstract: This research is to analyze the effect of training to Lecturer’s Performance of State Polytechnic of Sriwijaya.

The respondents in this research are the lectures of State Polytechnic of Sriwijaya having status as public

servants. The data used in this research are primer and secondary data. Analysis method in this research is

using regression linear with training as independent variable and performance as dependent variable. The

result of this research is independent variable has strong influence to dependent variable.

1 INTRODUCTION

The knowledge is dynamic it means that will change

and develop according to era development. The

knowledge to be transferred from a lecturer to

students must be update because the knowledge

which is received by the students will be applied in

job area after they complete their studies in a

university. In the rule of teacher and lecturer number

14 year 2005, a lecturer is a professional educator of

a scientist with the main assignment to transform,

develop and spread the knowledge, technology and

art widely through education, research, and society

dedication.

The quality of an educational institution is

determined by the quality of all educators and the

quality of educator in this matter a lecturer determines

the quality of graduate of an institution or university.

Self development is a way to increase the quality of a

lecturer. A lecturer must have self development

through trainings in order to have the updates

knowledge.

The development of human resources is a process

to increase the knowledge and skill of the employee

to reach effective and efficient goal (Bangun, 2012).

One way of self development is joining the

training which is a process to maintain and improve

the skill of employee to make an effective work.

The training joined by the lecturer will give the

direct output namely to increase the lecturer’s

knowledge and skill besides it will increase the

lecturer’s performance. The more skill and

knowledge of a lecturer are expected the better

performance of this lecturer.

The definition of performance is output reached

by an employee which is based on job requirement.

Performance is a measurement of what an employee

has to and does not has to do (Bangun, 2012). The

better lecturers’ performance will make the

performance of institution better.

In this research the discussed problems are: 1)

How is the influence of the training on lecturers’

performance of State Polytechnic of Sriwijaya?; 2)

What are others variables influencing lecturers’

performance of State Polytechnic of Sriwijaya?

Based on the problems defined above that

purposes of this research are: 1) To know the

influence of training on lectures’ performance of

State Polytechnic of Sriwijaya; 2) To know other

variables giving influence on lectures’ performance.

2 LITERATURE REVIEW

2.1 Training

A lecturer is one of human resources owned by one

educational institution. An effective organization

must be able to find, use, maintain and develop

human to reach ambitious goal (Marwansyah, 2012).

The quality of an educational institution is

determined by the quality of human in this matter

namely lecturer. Human resource is main element of

an organization compared to other elements such as

capital, technology and money because the human

controlling other elements (Ismail, 2010)

Noval, M., Wahyuningrum, I., Yusniarti, . and Madora, H.

The Inﬂuence of Training on Lecturer’s Performance.

DOI: 10.5220/0009153100002500

In Proceedings of the 2nd Forum in Research, Science, and Technology (FIRST 2018), pages 101-103

ISBN: 978-989-758-574-6; ISSN: 2461-0739

101

2.2 Performance

According to (Mangkunegara, 2009) performance is

output performance is output of work with quality and

quantity reached by an employee in doing the given

responsibility. (Wirawan, 2009) explains that

performance is output which is resulted by the

functions or indicators of a job or a profession.

(Bangun, 2012) says that performance is output of

work by an employee that is based on job

specification.

Indicators to measure the performance (Dessler,

2010) are first, qualities of work are accuracy,

carefulness and the output which meets the standard.

Second, productivities are quantity and efficiency of

work in certain time. Third, the knowledge of job are

skill and practical information or the technic used in

work. Fourth, an employee can be relied on

completing the work and assingment. Fifth, the

presence of an employee is on time and the

supervising the time for break and lunch and the

record of presence. Sixth, an employee can work

indepently with or without supervision.

3 RESEARCH METHODOLOGY

3.1 Time and Place of Research

The time of research is 6 (six) month. The collected

data use the questionnaire with quantitative research.

The research is in Palembang with the object of

research is lecturer of State Polytechnic of Sriwijaya.

3.2 Data Source

In this research there are two kinds of data, they are:

primary and secondary data. Primary data is data

collected directly from the first source, example

questionnaire. Secondary data is data collected from

secondary source, example lectures and employees of

State Polytechnic of Sriwijaya.

3.3 Analysis Method

Method of research used in this research is themethod

of correlation survey with multiple regression

analysis technical that is a technique used to analyze

the influence of some independent variables on

dependent variable. To process data statistically we

need a software that is E-views.

The model is made to test statistically which is

used to modify the correlation between training as

independent variable and performance as dependent

variable.

3.4 Analysis Method

A questionnaire is a list of questions filled by

respondents to get data to be related to the research.

The questionnaire is used to get data to test the

hypothesis. Data collecting by delivering the

questionnaire to respondents who are the lecturers of

State Polytechnic of Sriwijaya.

3.5 Population and Sample

Population is all object (people, incident, or

something) having certain characteristic both tangible

and untangible. The object is called the unit of

population. The finite population is a population can

be counted no matter of the size and the infinite

population is the large population which cannot be

counted (Puspowarsito, 2008).

The lectures of State Polytechnic of Sriwijaya are

population of this research. To determine the size of

sample we apply the Slovin formula written by Steph

Ellen with reference principles and methods of

research (Ellen, 2010).

n = N/(1 + Ne^2)

n = sample

N = population

e = level of tolerance

This research is the survey research with using

sample as the object of research because of limited

time and financial and large population. Sample must

represent the respondents. Sampling method is non

probabilistic sample, which every element of

population does not have the same probability to be

choose as a sample or sampling which is not random

and objective. Probabilistic sample with purpose

sampling means that the sample is suitable for the

purpose of research. The population in this research

is the lecturer of State Polytechnic of Sriwijaya as

much as 361.

n = N/(1 +( Ne^2))

n= 361/(1+(361*10%

))

n=361/(1+(361*0.01))

n=361/(1+3.61)

n=361/4.61

n=78

The samples are 78 respondents of 361

population.

FIRST 2018 - 2nd Forum in Research, Science, and Technology (FIRST) – International Conference

102

4 RESULT AND DISCUSSION

4.1 Result

The following table is output of data processing. The

influence of independent variable to dependent

variable simultaneously and partially is shown in

table 1.

Table 1: The result of the research

Variable Persamaan

Coefficient Prob.

Observation

R-Squared

Adjusted R-Squared

F-Statistic

Prob (F-Statistic)

Durbin-Watson stat

10.38402

0.459536

0.407021

0.399115

51.48007

0.000000

2.239696

0.0002

0.0000

Source: SPSS proceed. 2018

After processing the respondents’ data regression

is:

Y = 10.38402 + 0.459536 X

4.2 Discussion

The coefficient of variable X training has positive

value 0.459536 it means that training variable has

positive correlation with performance variable. It has

meaning that if training variable increases one so that

lecturer’s performance will increase 0.459536

The value of R

squared

0.407021 which means

that 40.70% of independent variables gives influence

to dependent variable and the remaining 59.30% is

influenced by other variables outside of the model of

this research.

F-test is a test to see the influence of all

independent variables on dependent variables

simultaneously. The value of prob F-Test is 0.0000

where it is < 0.05 it means that independent variables

give influence on dependent variable simultaneously.

T-test is a test to see the influence of independent

variable on dependent variable partially. The value of

prob. t-test is 0.0000 where it is < 0.05 it is concluded

that there is a positive influence between training

variable and lecture’s performance of State

Polytechnic of Sriwijaya. The coefficient of training

variable is 0.4595 and significant statistically with

confidence level 95%. The value indicates that

training variable has influence positively on lecturer’s

performance variable with every one training can

increase lecturers’ performance.

5 CONCLUSIONS

Variable training gives positive and significant effect

to variable performance with probability 0.0000 and

coefficient value 0.4595 with level of confidence

95%. That training has a strong influence of lectures’

performance both partially and simultenously at State

Polytechnic of Sriwijaya, Palembang, Indonesia.

ACKNOWLEDGEMENTS

This research is assigned by State Polytechnic of

Sriwijaya, Palembang, Indonesia. The author

thankfully for the scientific discussions with other

authors from State Polytechnic of Sriwijaya,

Palembang, Indonesia. The authors would like to

acknowledge all reviewers at the IC FIRST 2018 for

their feedback on an earlier version of the paper, and

also thank to the reviewers who gave feedback as part

of this journal's review process.

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