DEVELOPMENT OF ARTIFICIAL INTELLIGENT-BASED LEARNING MEDIA IN TRADITIONAL DANCE LEARNING IN VOCATIONAL HIGH SCHOOLS

American Journal of Humanities and Social Sciences Research (AJHSSR) 2024
A J H S S R J o u r n a l P a g e | 119
American Journal of Humanities and Social Sciences Research (AJHSSR)
e-ISSN :2378-703X
Volume-08, Issue-11pp-119-125
www.ajhssr.com
Research Paper Open Access
DEVELOPMENT OF ARTIFICIAL INTELLIGENT-BASED
LEARNING MEDIA IN TRADITIONAL DANCE LEARNING
IN VOCATIONAL HIGH SCHOOLS
Tuti Rahayu1
, Suharyanto2
, Iskandar Muda3
1
(Faculty of Language and Arts, The State University of Medan, Indonesia)
2
3
ABSTRACT :This study is entitled Development of Artificial Intelligence-Based Learning Media in
Traditional Dance Learning in Vocational High Schools. The problem currently found is the unavailability of
Artificial Intelligence-based learning media for traditional dance learning in Vocational High Schools. The
purpose of this study is: development of Artificial Intelligence-based learning media and to determine the
validation, practicality and effectiveness of Artificial Intelligence-based learning media for traditional dance
learning in Vocational High Schools. The research method used is the development method (R&D) 4 D model
by Thiagarajan with stages of define, design development and dissemination. The collection technique is
carried out with validation and reliability tests, practicality and effectiveness tests. Data analysis using validity
data analysis and effectiveness test data analysis. This study produces Artificial Intelligence-based learning
media in the form of Image Processing (Digital Image Processing) applications with the link:
https://gerakantari.karimhasibuan.com on the Tatak Garo-garo dance material from the Pak-pak ethnic group.
The results of the assessment from the media expert validator consisting of four main aspects of the
assessment, namely: (1) Design/Layout 90% very very valid category; (2) Typography Text 95% very valid
category; (3) Images, 82% valid category; (4) Media Quality 82% valid category, with an average of 87.25%
valid category. The assessment results from the expert validator of the material consisting of four main aspects
of the assessment, namely: (1) Learning Material Quality 95% very valid category; (2) Learning Delivery
System 95% very valid category; (3) Learning Strategy Quality 85% valid category; (4) Learning Material
Language Quality 100% very valid category.; (5) Display Quality 100% very valid category, with an average
achievement of 95% very valid category. The assessment results from students consisting of four main aspects
of the assessment, namely: (1) Design and layout 94.44% very practical category; (2) Typography text 94.28%
very practical category; (3) Images 92.85% very practical category; (4) Media Quality 88.57% practical
category, with an average achievement value of 92.53% with a very practical category. The results of the N-
Gain value in the effectiveness test obtained a value of 0.85 with a percentage of g > 0.7 with a high category.
Based on the N-Gain value obtained, it is known that the development of learning media based on Artificial
Intelligence that has been revised by media experts is Very Effective.
KEYWORDS :Development, Learning Media, Artificial Intelligent, Traditional Dance
I. INTRODUCTION
Education in the digital era that occurred in the 21st century requires education implementers to be able
to integrate Information and Communication Technology (ICT) into all aspects of learning. This era provides
opportunities for students to obtain abundant sources of knowledge from various internet sources that are
easily accessible anytime and anywhere students are in a fast and easy way. This condition makes educators as
the main role holders in delivering education challenged to be able to adjust to meet their scientific
competencies according to the demands of the times. Educators are required to be able to communicate and
adapt to the times, in this case the development of technology, in addition, with the continued development of
the era, it is directly proportional to the development of problems that require solutions with high-level
thinking. Research by Scheel, Laura; Vladova, Gergana; Ullrich, André (2022) concluded that although digital
learning disrupts traditional learning concepts and activities in higher education, to achieve successful
integration of digital learning, student use and acceptance are very important. Therefore, the acceptance of

digital learning in turn depends on the characteristics and dispositions of students, among other factors.
Learning media is one of the mandatory components that must be present when the teaching and learning
process takes place, including in digital learning, because in general learning media aims to make it easier for
educators to provide material and make it easier for students to receive lesson material. Over time, learning
media has also begun to develop from manual to digital. The presence of digital learning media provides a
variety of innovations in learning, because conventional learning that has been carried out so far is very rigid
and monotonous. The use of digital learning media is considered more practical, flexible and not limited by
space and time. There are several characteristics of globalization, including the absence of boundaries in the
world, applications in human life have progressed towards applications and science, the struggle for human
rights, and better cooperation and competence, Akrim (2018). Artificial Intelligence-based learning media or
also known as artificial intelligence is currently very popular in learning, because it can simulate human
intelligence in machines that are programmed to think and act like humans. Artificial Intelligence is the ability
to display behavior that is considered equally intelligent if the ability is displayed by humans. Artificial
Intelligence can read human minds based on brain activity, understand human emotions and feelings.
Thongprasit, Junjiraporn, Wannapiroon, Panita (2022), stated that currently Information Technology has been
integrated as part of life activities. This not only affects teaching and learning methods at all levels, but also
the teaching style of each teacher in accordance with the digital era. Therefore, a standard platform must be
created for all teachers in order to effectively serve future education policies.
Vocational High Schools in Medan City have several similar subjects, such as general subjects
(mathematics, Indonesian, Arts and Culture, PPKN and so on). However, there are several different subjects as
characteristics of the Vocational High School which are adjusted to their fields of expertise, such as SMK
Negeri 11 Medan whose fields of expertise are music and dance.
Traditional dance is one of the dance learning materials that contains several traditional dance practices
from eight ethnic groups in North Sumatra. Traditional dances that will be developed into artificial
intelligence-based learning media in this study are eight traditional dances in North Sumatra, including Malay,
Nias, Batak Toba, Karo, Simalungun, Phakpak, Sibolga, Mandailing. The results of observations made on the
Arts and Culture subject, especially on dance practice materials in several Vocational High Schools in Medan
City, are still mostly carried out conventionally, including traditional dance practice subjects, where teachers
are only models in dance learning and interspersed with learning media in the form of dance technique learning
videos. Therefore, in this study, researchers will develop this learning media using digital learning media based
on Artificial Intelligence. This study will develop learning media based on Artificial Intelligenceespecially in
traditional dance subjects, so that this digital learning media can be used by students and teachers.
II. RESEARCH METHOD
This study uses a Research and Development (R & D) approach. According to Sugiono (2019) the
Research and Development method is a research method used to produce products and the effectiveness of the
product will be tested.
III. FINDING
The Artificial Intelligence learning media developed aims to improve traditional dance learning in
Vocational High Schools, precisely at SMK Negeri 11 Medan, which is a vocational school in the field of dance.
Therefore, the packaging of Artificial Intelligence-based learning media is packaged in the Dance Education Study
Program, FBS Unimed and tested on students at SMK Negeri 11 Medan. The research procedure is in accordance
with the stages in the 4-D model, namely: Define, Design, Develop, and Disseminate, to be more clear, it is
described as follows:
1.Define
The define stage is to define the needs analysis in the development of learning media based on
Artificial Intelligence in traditional dance learning in Vocational High Schools. The needs analysis consists
of:
a. Initial Analysis
The initial analysis was conducted by reviewing and analyzing the syllabus of traditional dance subjects
based on North Sumatra. In this case, the researcher analyzed the Syllabus and RPP of the traditional dance
Tatak Garo-garo originating from Pakpak. The results of the analysis found that the learning media used in
traditional dance subjects were still in manual form and none were in digital form (Artificial Intelligence).
Therefore, in this study, the researcher developed a traditional dance learning media based on Artificial
Intelligence that was adjusted to the local content of North Sumatra, especially the Tatak Garo-garo dance from
Pakpak.
b. Student Analysis

The identification results found that most students did not understand the Tatak Garo-garo dance
material, therefore researchers need to develop learning media based on Artificial Intelligence in order to answer
this problem.
c. Task Analysis
Task analysis is done by analyzing the tasks in the traditional dance subject. The tasks given by the
teacher are not only on practical materials but also given tasks on theoretical materials, because for traditional
dance learning, students' knowledge (practice and theory) must be balanced so that students dancing the Tatak
Garo-garo dance can dance with the correct expression according to the meaning contained in the dance.
d. Concept Analysis
Concept analysis was conducted by analyzing the concept of learning traditional dance (Tatak Garo-garo)
based on Basic Competencies (KD), Standard Competencies (KD) and indicators. In this case, it was found that
learning traditional dance in Vocational High Schools was not yet in-depth, because so far teachers have only
taught traditional dance based on the teacher's experience in dancing the traditional dance (Tatak Garo-garo).
This causes students to be more familiar with the practice of traditional dance and do not know the description
of the traditional dance..
e. Formulation of Learning Objectives
The formulation of learning objectives is carried out to achieve student competencies after learning
traditional dance (Tatak Garo-garo), because it will be the achievement of student learning to be able to
understand, identify, compare, formulate, present, analyze, create traditional dance Tatak Garo-garo.
2.Design
The design was carried out by designing learning media based on Artificial Intelligence with the type of
Image Processing for learning traditional dance in Vocational High Schools before being tested on students:
a.Preparation of Test Standards
The stage of preparing the test standards was carried out by giving an initial test (pretest) to class XI
students of SMK Negeri 11 Medan before the material was given. The questions given were related to the
Tatak Garo-garo dance which aimed to determine the students' initial abilities in understanding the Tatak
Garo-garo dance. After the material was given, a final test (post-test) was given to students which aimed to
determine the extent of students' knowledge in understanding the Tatak Garo-garo dance.
b. Selection of Learning Media
The stage of selecting learning media is carried out by developing learning media based on Artificial
Intelligence for dance learning in Vocational High Schools based on material characteristics, learning
objectives and student characteristics. The learning media developed is based on Artificial Intelligence with
the type of Loomi.
c. Development
The development stage was carried out by developing learning media based on Artificial Intelligence
which began with recording the various movements of the Tatak Garo-garo dance which was carried out in
the dance study of the Dance Education Study Program, Faculty of Language and Arts, Unimed.
3.Effectiveness Test
a.Practicality of Artificial Intelligence Based Learning Media
The trial was conducted in class X1 of SMK Negeri 11 with the aim of assessing the practicality of
the designed Artificial Intelligence-based learning media which can be observed from student responses in
the Traditional Dance subject. The trial results are presented in the following table:
Table1.Level of Practicality
No. Achievement(%) Category
1 90–100 Very Practical
2 80–89 Practical
3 65–79 Quite Practical
4 55–64 Less Practical
5 0–54 Very Impractical
Table 2.Student Practical Results
No Assessment Aspects Achievement(%) Category
1 Design 94,44 Very Practical
2 Typography text 94,28 Very Practical
3 Picture 92,85 Very Practical

4 Media quality 88,57 Practical
Average 92,53 Very Practical
b.Effectiveness of Traditional Dance Material
At this stage, learning and assessment are carried out to observe the effectiveness of teaching materials
applied to Traditional Dance learning through three stages, namely: pretest, first trial, second trial and posttest.
The results of the three stages are presented in the following table:
Table3.Average Test Results
Activity Pretest(%) Phase 1 Trial (%)
Phase 2 Trial (Postest)(%)
Score 42,14 64,28 91,42
The results (pretest) of the first stage trial, and the second stage trial and posttest can be described as
follows:
1). Pretest
The pretest was conducted by giving 20 questions in the form of multiple choices. The pretest questions
contained dance art material. The purpose of the pretest was to determine students' initial abilities in learning the
learning materials in Traditional Dance learning. The percentage at the pretest stage obtained an average student
score of 44.14% with the category of Quite Effective.
Table4.Effectiveness of Pretest Results
No. Achievement(%) Number of Students Category
1 81–100 0 Very Effective
2 61–80 0 Effective
3 41–60 5 Quite Effective
4 21–40 2 Less Effective
5 0–21 0 Very Less Effective
Based on the table above, it can be seen that SMK Class X1 students already have knowledge about
traditional dances of North Sumatra from various sources so that it is known that there are 5 students who are quite
effective but there are 2 students who are less effective.
2)Phase 1 Trial
The first stage trial was conducted by providing Traditional Dance teaching materials that had been
developed but had not been revised based on suggestions from media experts. The percentage of the first
stage trial obtained an average student score of 64.28 with an effective category. The students' mastery was
grouped into learning effectiveness as shown in the following table:
Table5.Effectiveness of Phase 1 Trial Results
5 0–21 0
Very Less Effective
Based on the table above, it can be seen that the development of traditional dance teaching materials tends
to be quite effective with 2 students and effective with 5 students.
3).Phase 2 Trial (Posttest)
In the second phase of the trial, the researcher provided revised Traditional Dance teaching
materials based on suggestions from media experts. Furthermore, questions (Posttest) were given to
students to determine student competence in the Traditional Dance subject. The percentage of the second

phase of the trial obtained an average student score of 91.42 with the Very Effective category. The
students' mastery is grouped into learning effectiveness as shown in following table:
Table6.Effectiveness of Phase 2 Trial Results
Based on the table above, it can be seen that the development of Traditional Dance materials tends to be
very effective with 6 students and effective with 1 student. The N-Gain value obtained in the effectiveness test got
a value of 0.85 with a percentage of g> 0.7 with a high category. Based on the N-Gain value obtained, it is known
that the development of learning media based on Artificial Intelligence that has been revised by media experts is
Very Effective.
Table 7.N-Gain Score Criteria
N-Gain Score Category
g>0,7 High
0,3g0,7 Medium
g<0,3 Low
Table 8. N-Gain Score Criteria
No. Achievement (%) Category
1 90–100 Very Practical
2 80–89 Practical
3 65–79 Quite Practical
4 55–64 Less Practical
5 0–54 Very Impractical
Table 9. Student Practical Results
No
Assessment Aspects Achievement(%) Category
1 Design 94,44 Very Practical
2 Typography text 94,28 Very Practical
3 Picture 92,85 Very Practical
4 Media quality 88,57 Practical
Average 92,53 Very Practical
The results of the students' assessments consisted of four main aspects of the assessment, namely: (1)
Design and layout, which was at a value of 94.44% with a very practical category; (2) Typographic text, at a
5 0–21 0
Very Less Effective

value of 94.28% with a very practical category; (3) Images, at a value of 92.85% with a very practical category;
(4) Media Quality, at a value of 88.57% with a practical category, with an average achievement value of 92.53%
with a very practical category.
IV. CONCLUSION
The problem currently found is the unavailability of Artificial Intelligence-based learning media for
traditional dance learning in Vocational High Schools. The purpose of this study is: development of Artificial
Intelligence-based learning media and to determine the validation, practicality and effectiveness of Artificial
Intelligence-based learning media for traditional dance learning in Vocational High Schools. The research method
used is the development method (R7D) 4 D model by Thiagarajan with stages define, design, development and
dissemination. The collection technique is carried out with validation and reliability tests, practicality and
effectiveness tests. Data analysis using validity data analysis and effectiveness test data analysis. This study
produces Artificial Intelligence-based learning media in the form of Image Processing (Digital Image Processing)
applications with the link: https://gerakantari.karimhasibuan.com on the Tatak Garo-garo dance material from the
Pakpak ethnic group. The results of the assessment from the media expert validator consisting of four main aspects
of the assessment, namely: (1) Design/Layout 90% very very valid category; (2) Text Typography 95% very valid
category; (3) Images, 82% valid category; (4) Media Quality 82% valid category, with an average of 87.25% valid
category. The assessment results from the expert validator of the material consisting of four main aspects of the
assessment, namely: (1) Learning Material Quality 95% very valid category; (2) Learning Delivery System 95%
very valid category; (3) Learning Strategy Quality 85% valid category; (4) Learning Material Language Quality
100% very valid category; (5) Display Quality 100% very valid category, with an average achievement of 95%
very valid category. The assessment results from students consisting of four main aspects of the assessment,
namely: (1) Design and layout 94.44% very practical category; (2) Typographic text 94.28% very practical
category; (3) Images 92.85% very practical category; (4) Media Quality 88.57% practical category, with an
average achievement value of 92.53% with a very practical category. The N-Gain value obtained in the
effectiveness test was 0.85 with a percentage of g> 0.7 in the high category. Based on the N-Gain value obtained, it
is known that the development of learning media based on Artificial Intelligence that has been revised by media
experts is Very Effective.
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DEVELOPMENT OF ARTIFICIAL INTELLIGENT-BASED LEARNING MEDIA IN TRADITIONAL DANCE LEARNING IN VOCATIONAL HIGH SCHOOLS

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