Open AccessMetal Casting Engineering Courses Assisted by Digital Smart Modules: An Assessment of Experts and Users
Author(s) -
Sutopo Sutopo,
Bayu Rahmat Setiadi
Publication year - 2020
Publication title -
academic journal of interdisciplinary studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.148
H-Index - 5
eISSN - 2281-3993
pISSN - 2281-4612
DOI - 10.36941/ajis-2020-0085
Subject(s) - likert scale , engineering , data collection , needs analysis , multimedia , medical education , computer science , psychology , mathematics , medicine , mechanical engineering , developmental psychology , statistics
This study aims to: (1) produce a digital smart module (DSM) as a learning resource in aluminum metal casting learning; (2) determine the feasibility of the developed DSM; and (3) determine the user's response to the developed DSM. The current research and development build upon the development procedures proposed by Borg & Gall. The research subjects consisted of material experts, media experts, lecturers, and students. Development procedures in this study include need analysis, expert validation, and user response tests. Data collection was carried out by interview and questionnaire. The instruments used are interview guidelines, product validation questionnaire sheets for material and media experts, and lecturer and student response questionnaire sheets. The questionnaire uses a four-point Likert scale. The data obtained were analyzed using quantitative descriptive method. The results of this study are: (1) a DSM for aluminum metal casting learning, (2) the developed module has met the eligibility criteria based on the assessment of material experts and media experts. Material expert assessment obtained a percentage of 93% included in the excellent category and media expert evaluation obtained a percentage of 93.4% included in the excellent category, and (3) overall user response to the developed DSM is excellent, lecturers response has a percentage of 95% included in the excellent category while the students response students has a percentage of 90% included in the excellent category.