Tadris: Jurnal Keguruan dan Ilmu Tarbiyah xx (xx): xx-xx (20xx)
DOI: xxxxxxxxxxxxxxxxxx
       Effectiveness of Learning Module Autodesk Inventor Subjects
                 Drawings on Manufacturing Engineering
             Fadly Nendra1*, Syahril2, Rijal Abdullah3, Yumn Jamilah4, Netriwati5
   Technology and Vocational Education, Faculty of Engineering State University of Padang, Indonesia
 ______________                       Abstratc: Judging from the learning models that use teachers who
 Article History:                     are still centered on teachers or teacher centers pose boredom for
 Received: xxxx xx, 20xx              students, visible from the activities of many dreamy students,
 Revised: xxxx xx, 20xx
 Accepted: xxxx xx, 20xx
                                      students do not listen to the teacher when explaining and students
 Published: xxxx xx, 20xx             rarely want to Answer questions from the teacher when given a
                                      question. In this regard, students expect a learning model that creates
                                      an effective, engaging, interactive and enjoyable learning process. In
 _________                            addition to the learning process, student learning activities are low,
 Keywords:                            and the assignments given to students are generally not resolved
 Effectiveness, Modules,              based on the time specified. Referring to the problem of earning a
 Manufacturing Engineering            value that is not maximized, it is necessary the Autodesk Inventor
 Drawings
                                      application to overcome it because the program will make students
                                      active and effective to learn so that the results can be better than
 ________________________             Previous. The research aims to determine the effectiveness of the
 *Correspondence Address:             Autodesk Inventor learning modules that have been developed. The
 fadlynendra@gmail.com                effectiveness test is done by giving the students pretests and posttest
                                      instruments. Instruments of effectiveness using tests, and data
                                      processed gain score. Autodesk Inventor Learning module is said to
                                      be effective for improving student learning outcomes because 75% of
                                      students have reached the Minimum mastery criteria. Based on these
                                      results, it can be concluded that the Autodesk Inventor learning
                                      module on the learning of the drawing of manufacturing techniques is
                                      effectively used as a learning medium in the learning process of
                                      subjects in manufacturing engineering drawings.
INTRODUCTION                                              that contains the meaning of a tool that
       Technical drawings are tools to                    implies of an engineering degree in the
express ideas or ideas of engineering                     form of engineering drawings (Suharto,
experts. Therefore, technical drawings are                2005:9).
often referred to as technical language or                      Along with current science and
language for technical experts in the                     technology developments, many drawing
technique used as a means to present the                  software are created with the aim of
idea of construction work. Thus in                        easing the design process. One type of
summary it can be said that the image                     software used to draw is Computer Aided
serves as a technical language in the                     Design (CAD). CAD can be interpreted as
machining industry (Khumaedi, 2009:1).                    a computer program to assist in creating,
The language of the technique in question                 modifying, and analyzing a product or
is the language for scholars of engineering               part of a product. Design-making
                             © 2019 URPI Faculty of Education and Teacher Training
                                 Universitas Islam Negeri Raden Intan Lampung
           Effectiveness of Learning Module … | F. Nendra, Syahril, R. Abdullah, Y. Jamilah, Netriwati
activities start from idea collection,                     explanation above, where the media has
sketching (drafts), creating models,                       not been used in the form of modules in
making detailed images, analyzing                          the classroom and still has not achieved
designs, up to creating simulations or                     the desired results of learning, then
animations. The use of CAD will cover                      researchers are interested to develop the
the entire design process and can be                       Learning module Autodesk Inventor
accommodated quickly and cheap.                            where the module can be used in the
       So the industry will be more                        learning    process      of     mechanical
effective and efficient in conducting the                  engineering drawings and can effectively
design process. In today's industrial                      improve the learning outcomes of the
world, CAD is increasingly trusted to help                 students. Therefore, the researcher's desire
with product design production. Many                       to research on "the development of
CAD programs are used in the industry,                     Autodesk Inventor learning modules on
among others: AutoCAD, Solidworks,                         the subjects of mechanical engineering
Autodesk Inventor, Catia, and so on.                       drawings".
       The learning process that has been
done in the classroom still runs                           METHOD
conventionally i.e. a demonstration                               Method      used      should      be
method that is dominated by lectures to                    accompanied by references, relevant
achieve the skills of mechanical                           modification should be explained.
engineering drawings, after learning the                   Procedure and data analysis technique
theory done then the teacher gave the task                 should be emphasized to literature review
to students work. So it can be concluded                   article.
that the learning process is only centered                        This type of research that will be
on the teacher. Learning the Teacher                       done is research and development or
Center here is the teacher to be the center                research & development. This research
of the teaching and learning process that                  includes the research that produces new
occurs in the class (information delivery).                products in a learning system. According
       Such an atmosphere causes                           Sugiyono (2009: 3) development model
boredom for the students, seen from the                    used in this study is a model of Dick &
activities of the students who are many                    Carey (1996: 5-7) studies were conducted
daydream, students do not listen to the                    in class XI Department of Mechanical
teacher when explaining and students will                  Engineering SMKN 1 Padang totaling 24
rarely answer questions from the teacher                   students. Phase effectiveness is at the
when given a question. In this regard,                     development stage. This phase is
students expect a learning model that                      performed to assess whether the module
creates an effective, engaging, interactive                that was developed can be used according
and enjoyable learning process. In                         to expectations for increased activity and
addition to the learning process, student                  student achievement. The instrument used
learning activities are low, and the                       to collect data is a media effectiveness
assignments given to students are                          tests. The tests used to obtain the data of
generally not resolved based on the time                   student learning outcomes are cognitive
specified. Referring to the problem of                     tests performed at the end of learning
earning a value that is not maximized, it is               after using Module. After testing the
necessary      the    Autodesk       Inventor              modules, the next activity is to analyze
application to overcome it because the                     the data. The analyzed data is test data
program will make students active and                      modules developed.
effective to learn so that the results can be                     The effectiveness of this module is
better than Previous. From the                             determined by how to see whether the
xx | Tadris: Jurnal Keguruan dan Ilmu Tarbiyah xx (xx): xx-xx (20xx)
                                         Title | Author
achievement of the students ' learning             Table 1. Result of the activity of grade XI students
outcomes by using the learning modules             in mechanical engineering at SMKN 1 Padang.
                                                        Total   Maximum   Achieve
used at the time of research has reached a          No
                                                        score    score    ment %
                                                                                             Criteria
minimum or no guidelines. The Data                   1    77       100      77             HIGH
effectiveness gained from the cognitive              2    76       100      76             HIGH
                                                     3    79       100      79             HIGH
tests of students taken after using the              4    87       100      87             VERY HIGH
module during the learning process. The              5    83       100      83             VERY HIGH
                                                     6    77       100      77             HIGH
effectiveness test is done by comparing              7    86       100      86             VERY HIGH
the learning results before and after using          8    87       100      87             VERY HIGH
                                                     9    82       100      82             VERY HIGH
the module. The analysis used is analysis           10    88       100      88             VERY HIGH
of the difference in learning outcomes              11    86       100      86             VERY HIGH
                                                    12    79       100      79             HIGH
before and after the treatment using the            13    81       100      81             VERY HIGH
gain score.                                         14    79       100      79             HIGH
                                                    15    77       100      77             HIGH
                                                    16    77       100      77             HIGH
RESULT AND DISCUSSION                               17    76       100      76             HIGH
                                                    18    79       100      79             HIGH
       After doing research on class XI             19    87       100      87             VERY HIGH
Department of Mechanical Engineering at             20    83       100      83             VERY HIGH
                                                    21    77       100      77             HIGH
SMK 1 Padang then the data obtained                 22    79       100      79             HIGH
after the implementation of the pretest to          23    82       100      82             VERY HIGH
                                                    24    76       100      76             HIGH
the student tests were analyzed manually                 1940     2400     80.8            VERY HIGH
with Microsoft Exel, to determine the               TOTAL SCORE                                1940
distribution of the data, the average value         MAXIMUM TOTAL SCORE                        2400
                                                    PERCENTAGE ACTIVITIES                     80.8%
and standard deviation of the data                  CATEGORY                               VERY HIGH
obtained. The results of the analysis of the
data pretest results presented in Table 1.               Based on Table 1. the results of
                                                   student learning activities, it can be
Judging the effectiveness of student               concluded that the activity of students in
activity.                                          learning activities using learning modules
       Student activity during the learning        for Autodesk Inventor are at very high
activity was observed using student                category.
activity      observation      instruments.
Observations were made during the                  Effectiveness seen from The difference
learning process. The observation of 4             in pretest results and posttest results
times the learning averaged to generalize
the results of observation of student               Data from pre-test
activity. The average results of student                  Data obtained after the initial test
activity is shown in the appendix to show            to the students, its data as follows at
average results of student activity held on          Table 2 below:
class XI Department of Mechanical
Engineering at SMK 1 Padang. Can be
seen in Table 1 below:
                                                   Table 2. Result of Pre-test Data Analysis
                                    Tadris: Jurnal Keguruan dan Ilmu Tarbiyah xx (xx): xx-xx (20xx) | xx
              Effectiveness of Learning Module … | F. Nendra, Syahril, R. Abdullah, Y. Jamilah, Netriwati
      TOTAL      MAXIMUM                      INFORMATI         1    27      40             65       66       FAIL
No    SCORE       SCORES
                             SCORE     KKM
                                                  ON            2    29      40            72.5      66     SUCCESS
                                                                3    25      40            62.5      66       FAIL
                                                                4    26      40             65       66       FAIL
                                                                5    30      40             75       66     SUCCESS
                                                                6    32      40             80       66     SUCCESS
                                                                7    24      40             60       66       FAIL
                                                                8    26      40             65       66       FAIL
                                                                9    25      40            62.5      66       FAIL
                                                               10    35      40            87.5      66     SUCCESS
                                                               11    34      40             85       66     SUCCESS
                                                               12    25      40            62.5      66       FAIL
                                                               13    33      40            82.5      66     SUCCESS
                                                               14    24      40             60       66       FAIL
                                                               15    26      40             65       66       FAIL
                                                               16    24      40             60       66       FAIL
                                                               17    25      40            62.5      66       FAIL
                                                               18    29      40            72.5      66     SUCCESS
                                                               19    27      40            62.5      66       FAIL
                                                               20    28      40             70       66     SUCCESS
                                                               21    24      40             60       66       FAIL
                                                               22    24      40             60       66       FAIL
                                                               23    28      40             70       66     SUCCESS
                                                               24    27      40            67.5      66     SUCCESS
                                                               TOTAL SCORE                                   2157.5
                                                               AVERAGE SCORES                                 68.43
                                                               HIGH SCORES                                     95
                                                               LOWEST SCORE                                    65
                                                               TOTAL RESPONDENTS
                                                                                            10       %        42%
                                                               SUCCCES
                                                               TOTAL RESPONDENTS
                                                                                            14       %        58%
                                                               FAILED
                                                                    From the data in table 2. Then
                                                              obtained the lowest pretests result with a
                                                              value of 55 and the highest pretests result
                                                              with a value of 80 with details of the
                                                              number of respondents due 10 students
                                                              with a percentage of 42% and respondents
                                                              who did not complete as much as 14
                                                              people with a percentage of 58%.
                                                               Data from post-test
                                                                    Data obtained after the posttest is
                                                                done, its data as follows at Table 3
                                                                below:
                                                              Table 3. Result of Post-test Data Analysis.
                                                                     TOTAL    MAXIMUM                       INFORMATI
                                                               No    SCORE     SCORES
                                                                                          SCORE     KKM
                                                                                                                ON
                                                                1      30         40        75       66     SUCCESS
                                                                2      29         40       72.5      66     SUCCESS
                                                                3      31         40       77.5      66     SUCCESS
                                                                4      26         40        65       66       FAIL
                                                                5      33         40       82.5      66     SUCCESS
                                                                6      33         40       82.5      66     SUCCESS
                                                                7      24         40        60       66       FAIL
                                                                8      29         40       72.5      66     SUCCESS
                                                                9      30         40        75       66     SUCCESS
                                                               10      35         40       87.5      66     SUCCESS
                                                               11      34         40        85       66     SUCCESS
                                                               12      29         40       72.5      66     SUCCESS
                                                               13      33         40       82.5      66     SUCCESS
                                                               14      24         40        60       66       FAIL
                                                               15      31         40       77.5      66     SUCCESS
                                                               16      26         40        65       66       FAIL
xx | Tadris: Jurnal Keguruan dan Ilmu Tarbiyah xx (xx): xx-xx (20xx)
                                                        Title | Author
17    26      40             65         66           FAIL        Gain Score Min                                  0.00
18    29      40            72.5        66         SUCCESS       Gain Score Max                                  0.40
19    32      40             80         66         SUCCESS       Gain Score                                      0.14
20    28      40             70         66         SUCCESS       Category                                       Medium
21    24      40             60         66           FAIL
22    29      40            72.5        66         SUCCESS
23    28      40             70         66         SUCCESS
24    29      40            72.5        66         SUCCESS
TOTAL SCORE                                         2157.5
AVERAGE SCORES                                       68.43
HIGH SCORES                                           95
LOWEST SCORE                                          65
TOTAL RESPONDENTS
                             18         %           75%
SUCCES
TOTAL RESPONDENTS
                              6         %           25%
FAILED
        Based on data analysis in Table 3
above, then obtained the lowest post-tests
result with a value of 60 and the highest
post-tests result with a value of 87.5 with
a breakdown number of respondents                                 Figure 1. Charts increase in student value
succesded as many as 18 students with a
percentage 75% and respondents who                                      Analysis results are obtained in
failed 6 people with a percentage of 25% .                        Table 4. and Figure 1, judging by the
                                                                  gain score min in the value can be 0.00
Analysis of difference pretest results                            and gain score max of 0.4 so that the gain
and posttest results (Gain Scores)                                score 0.14 categorized value is medium.
         After learning the results of the                        From the average value in Pretests 68.43
analysis of the pretest and posttest                              and the average in posttest 73.12 with a
analysis results. the result of the                               difference of 4.6 value, this can be
difference between the pretest to posttest                        concluded the existence of the value of
results of data analysis as follows at table                      4.6% for the effectiveness of students in
4 below:                                                          the development of Autodesk Inventor
Table 4. Result of Post-test Data Analysis.                       learning modules on the subject of
No
     Score
     Pretest
                Score
               Posttest
                          Posttes-
                          Pretest
                                      100- score
                                       pretest
                                                      Gain
                                                      Score
                                                                  Drawings of manufacturing techniques.
 1   67.5     75            7.5         32.5          0.23        Thus,     the    effectiveness   of    the
 2   72.5    72.5            0          27.5          0.00        development of Autodesk Inventor
 3   62.5    77.5           15          37.5          0.40
 4    65      65             0           35           0.00        Learning module can be said to be very
 5    75     82.5           7.5          25           0.30        well used in learning activities with the
 6    80     82.5           2.5          20           0.13
 7    60      60             0           40           0.00        gain of score 0.14.
 8    65     72.5           7.5          35           0.21
 9   62.5     75           12.5         37.5          0.33
10   87.5    87.5            0          12.5          0.00        CONCLUSION
11    85      85             0           15           0.00
12   62.5    72.5           10          37.5          0.27              This     research has       produced
13   82.5    82.5            0          17.5          0.00        Autodesk Inventor learning module which
14    60      60             0           40           0.00
15    65     77.5          12.5          35           0.36        can be used in learning in the subjects of
16    60      65             5           40           0.13        manufacturing engineering drawings. The
17   62.5     65            2.5         37.5          0.07
18   72.5    72.5            0          27.5          0.00        learning module of Autodesk inventor has
19   67.5     80           12.5         32.5          0.38        been through the process of effectiveness
20    70      70             0           30           0.00
21    60      60             0           40           0.00        test through the students ' study results,
22    60     72.5          12.5          40           0.31        namely pretests and posttest. The results
23    70      70             0           30           0.00
24   67.5    72.5            5          32.5          0.15        of its effectiveness test state that the
TOTAL SCORE                  1642.5     1755          112.5       learning module of Autodesk Inventor is
AVERAGE SCORES               68.437     73.125       4.6875
                                                                  in effective category. This research is able
                                                   Tadris: Jurnal Keguruan dan Ilmu Tarbiyah xx (xx): xx-xx (20xx) | xx
           Effectiveness of Learning Module … | F. Nendra, Syahril, R. Abdullah, Y. Jamilah, Netriwati
to provide feedback to the education                              Content Oriented Fertilization
provider, since the developed Autodesk                            Constructivism      On      Course
Inventor Learning module can improve                              Development Center On Higher
student learning outcomes. Teachers can                           Education". Unpublished thesis.
develop the Autodesk Inventor's learning                          Padang: Graduate UNP Padang.
module so that its use is not only limited                 Riduwan. 2010. Learning Easy-Employee
to learning the drawings of manufacturing                         Research for Teachers And
techniques but also can be used for other                         Researchers starters. Bandung:
learning.                                                         Alfabeta.
                                                           Sadiman, Arief S. et al. 2006. Media
REFERENCES                                                        Education               (Definition,
Alchazin, Saiful AB 2011. Training                                Development and Utilization).
        Module Autodesk Inventor 2012.                            Jakarta: Rajawali Press
        Bogor: National Institute of                       Sudjana, Nana and Ahmad Rivai. 2007.
        Aeronautics and Space.                                    Media Teaching. Bandung: New
Arsyad, Azhar. 2006. Learning Media.                              Light Algensindo.
        Jakarta: King Grafindo Persada.                    Suharto.      2005.      Reading       and
Autodesk          Inventor.      Retrieved                        Comprehension                Image
        fromhttp://en.wikipedia.org/wiki/                         Engineering. Jakarta: Directorate
        Autodesk_inventor on 21 April                             of vocational education.
        2019.                                              Sugiyono. 2009. Quantitative Research
Anwar, S. 2014. Reliability and validity.                         Methods, Qualitative, and R & D.
        Yogyakarta: Library Learning.                             Bandung: Alfabeta
Bilalis, Nicos. 2000. Computer Aided
        Design CAD. Technical University
        of Crete: Innoregio Project.
Borg, WR et al. 2002. Educational
        Research:      An     Introduction
        (seventh edition). New York and
        London: Longman Inc.
Dick, W and Carey, L. 1996. The
        Systematic Design of intruction.
        New York: Harper Collins
        Publishing.
Hidayat Nur and Ahmad Shanhaji. 2011.
        Mastering Autodesk Inventor 3D
        Mechanical Design. Bandung:
        Informatics.
Jahidin, Saddam and Djauhar. 2013.
        Design      of   3D-Based     Ship
        Construction Autodesk Inventor
        To Analyze Heavy Construction.
        Journal of Engineering. (Volume
        2, Number 1). P. 1-6.
Khumaedi, Muhammad. 2009. Textbooks
        Engineering Drawings. Semarang:
        Unnes
Nerita, Siska. 2011. "Development of a
        Compact Disk (CD) Interactive
xx | Tadris: Jurnal Keguruan dan Ilmu Tarbiyah xx (xx): xx-xx (20xx)