Recently, Indonesia has sufficient number of
seafarers, yet the industry requires the competent
seafarer according to the certificate possesed.
Human competency can be known by people
who see and assess the activities that he did. A
competency appraiser may come from a person who
has more knowledge in the field or a superior of the
human services user who has the competency.
Perception is the work of the brain in understanding
and assessing something that happens around it
(Waidi, 2006). Furthermore, perception is a process
that starts from the utilization of the human senses,
from sight, hearing and others to the formation of
responses that occur within the individual so that the
individual is aware of everything in the environment
through the senses he has. The assessment of
competency can be done by comparing the
characteristics underlying the effectiveness of
individual performance (competence) with the
required job competence (Moeherino, 2012). By
using perception, we are able to know whether a
person has the competencies required in that
position.
The expectations reflect individual perceptions
of the ability to clearly define goals, to take the
initiative and to retain the motivation to use
strategies, and to develop specific strategies to
achieve those goals (Snyder, 1994). The expextation
is something that can be formed and can be used as a
step for change. Profitable changes can cause the
individual to achieve a better life. Each individual
has the ability to form expectations because they
have a basic component in the cognitive abilities
needed to produce thoughts of hope. Changes related
to those expectations require the formation and
maintenance of personal power in the context of a
supportive or supportive relationship. By comparing
perception and expectation, we can know whether
there is a gap in achieving a goal.
From the problems presented above, researchers
are interested to examine the perceptions and
expectations of seafarers' competence, especially
Indonesian marine engine officers. This is very
important for policy makers to know which
indicators are gaps so that solutions and
improvement can be applied. This research is also
important for the shipping companies to understand
what is the strong factor of Indonesian marine
engine officers as well as the area which needs to be
developed during on board ship.
2 RESEARCH METHOD
To start with the method, this research is a
quantitative descriptive study using the user
approach. The research sample, consisting of 100
respondents, was selected by means of the accidental
sampling technique. The respondents were the
marine engine officers who were identified proper to
fill the questionairre. The data were collected
through questionnaires. The analysis used is the Gap
Analysis (Franklin, 2005) and IPA (John, 1977).
The questionnaire survey consists of the several
group questions. First is the questions of general
information of the respondent. Then, the questions
asked respondents to level the degree of perception
and expectation of each variable. To extract the level
of perception, the respondents were asked to rate
each variable on the five–point using Likert scale,
varying from “strongly unnecessary” (1) to “strongly
necessary” (5). Whereas for the level of expectation,
the five – point using Likert scale is used, varying
form “strongly unexpected” (1) to “strongly
expected” (5).
A questionnaire survey was designed into five
competency categories. The first competency
category is related to the marine engineering which
consists of 7 variables. The second competency
categoy of questionnaire survey consists of 2
variables which related to the electrical, electronic
and control engineering. The third competency of
the questionnaire survey category consists of 3
variables which related to the maintenance and
repair. The fourth competency of questionnaire
survey category consists of 8 variables which related
to controlling the operation of the ship and care for
persons on board. The last competency of the
questionnaire survey category is related to the soft
skill which consist of 11 variables. The detail of
variables is arranged as diplayed in the Table 1.