Development Learning Models of Fish Stock Assessment Technique Subjects based E-Learning at Aquatic Resources Technology Management Program Study at the Jakarta Fisheries High School
Heri Triyono1, Diana Nomida Munsir2, Suriani3
1Heri Triyono, Post Graduate, Educational Technology, Universitas Negeri Jakarta, Jakarta, Indonesia.
2Diana Nomida Munsir, Post Graduate, Educational Technology, Universitas Negeri Jakarta, Jakarta, Indonesia.
3Suriani, Post Graduate, Educational Technology, Universitas Negeri Jakarta, Jakarta, Indonesia.
Manuscript received on 02 September 2019 | Revised Manuscript received on 12 September 2019 | Manuscript Published on 23 September 2019 | PP: 930-936 | Volume-8 Issue-5C, May 2019 | Retrieval Number: E11320585C19/19©BEIESP | DOI: 10.35940/ijeat.E1132.0585C19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aim of the study in general is to develop a learning model fish stock assessment techniques based e-learning to meet competencies for program Students study of Aquatic Resources Management Technology in the Jakarta Fisheries University. This research uses research and development methods. Result of study: In the field trial, the value obtained from the results of the post-test is higher than the value of the Pre-test, the average value of the results of the pre-test 62 and the post-test average value of 86.79, so there is an increase of 24 , 79 points, the rate of increase is very significant, meaning that this figure shows that the model developed can improve student learning achievement in the Study Program of Aquatic Resources Management Technology. While the average percentage value obtained from field trials is 88.88%, this number is higher than the learning objectives specified in the specific instructional objectives of 80%.
Keywords: Learning Model, E-Learning, Fish Stock Assessment Techniques, Jakarta Fisheries University.
Scope of the Article: Cloud Resources Utilization in IoT