Development of Computer Based Media for Learning to Fill in Export Notification and Notification of Import of Goods in the Department Ketatalaksanaan Pelayaran Niaga Program Diploma Pelayaran Universitas Hang Tuah Surabaya

Abstract

The learning of filling in export notification of goods (PEB) and notification of import of
goods (PIB) conducted in the department of Ketatalaksanaan Pelayaran Niaga (KPN) of Program
Diploma Pelayaran (PDP) of the Universitas Hang Tuah (UHT) Surabaya still uses lecture and
presentation methods using OHP (Over Head Projector) slides. OHP slide presentations have
weaknesses in the material, presentation display, user interaction, and program interactions. Therefore
it is necessary to develop computer-based media in order to improve the effectiveness of PEB and PIB
filling learning. The problem of the effectiveness of learning to fill PEB and PIB will be solved by
Research and Development method. The research steps include potential problems, needs analysis,
design, implementation, expert validation, product revision I, user trials, product revision II, and mass
publications. The test respondents consisted of 41 students of KPN semester VI and 4 lecturers of KPN
PDP UHT. Methods of data collection is done by documentation and questionnaire. The method used
to analyze the data is with quantitative descriptive analysis techniques in the form of scores and
percentages on a predetermined assessment scale. The results showed that computer-based media able
to improve the effectiveness of learning filling PEB and PIB. Based on the assessment of students and
lecturers, computer-based learning media charging PEB and PIB has the average percentage of
indicator value; content equal to 68,41% (effective), view equal to 68,66% (effective), user interaction
equal to 79,76% (very effective), and program interaction equal to 79,02% (very effective). The average of new learning performance or using the PEB and PIB charging tutorial program
(73.96%) is better than the old learning performance or without using the PEB and PIB charging
tutorial program (37.5%). The statistical test using the left side correlated t test shows t count -34.8354
falls on the area of acceptance Ha, so Ha accepted. The alternative hypothesis (Ha) states that the old
learning performance is smaller than the new learning performance.