INTRODUCTION
Background of study
In order to get an information about the students' pronunciation ability, on December 3, 2018, the researcher conducted a pre-test for the tenth grade students at SMK Muhammadiyah Sekampung, East Lampung. The researcher wanted to try to use Google Assistant as AI (artificial intelligence) for students' pronunciation.
Problem Identification
Problem limitation
Problem Formulation
Objectives and Benefits of Study
This means that there was a positive and significant impact of using Google Assistant on students' pronunciation. This means that there is a positive and significant influence of using Google Assistant on the pronunciation ability of tenth grade students at SMK Muhammadiyah Sekampung East Lampung.
THE ORETICAL REVIEW
The Concepts of Pronunciation
- Pronunciation
- Teaching Pronunciation
In polysyllabic words, he emphasizes the right syllable most of the time, but in some words he places it incorrectly. In polysyllabic words, he emphasizes the right syllable most of the time, but in some words he places it incorrectly.
The Concept of Google Assistant as Artificial Intelligence
- The Google Assistant as Artificial Intelligence
- Step by Step Installing Google Assistant
Based on the above explanation, the researcher concluded that Google Assistant was a virtual assistant app developed by the giant technology company Google. Google Assistant is developed based on (Linux) which have an intelligence to perform the task that was programmed before. The implementation procedure of Google Assistant as AI Here are the implementation procedures of Google Assistant as AI in teaching pronunciation;.
Google Assistant would pop up a series of tasks that instructed students to pronounce a specific word or short conversation in English. Third, press and hold your home button for 2 seconds and the Google Assistant installation procedure will pop. After that, Google Assistant will ask you to choose the number of exercises, and you must answer "number one".
Finally, if you have completed the entire exercise, Google Assistant will pop up the congratulatory message.
Hypothesis
Is there any positive and significant impact of using the Google Assistant on the pronunciation skills of the tenth grade students of SMK Muhammadiyah Sekampung East Lampung. Ha: There is a positive and significant impact of using Google Assistant on the pronunciation ability of the tenth grade students of SMK Muhammadiyah Sekampung in academic year 2019/2020. The researcher analyzed the data to prove whether the use of Google Assistant has a positive and significant impact on the pronunciation ability of the tenth grade students of SMK Muhammadiyah Sekampung East Lampung.
Ha: There is a positive and significant impact of the use of Google Assistant on the pronunciation ability of the tenth grade students of SMK Muhammadiyah Sekampung East Lampung in the academic year 2019/2020. This research observed the pronunciation ability of students in the tenth grade of SMK Muhammadiyah Sekampung. In other words, the use of Google Assistant has had an impact on the pronunciation ability of students in the tenth grade of SMK Muhammadiyah Sekampung East Lampung.
It means that there was a positive and significant impact of using the Google Assistant on the students'.
RESEARCH METHODOLOGY
Research Design
This research used an experimental research method to know the influence of using Google Assistant on students' pronunciation ability. The first class as an experimental group has received the special treatments which was to use Google Assistant to learn pronunciation. Based on the above design, the researcher would like to know whether there is an influence or not by using Google Assistant to learn pronunciation in the experimental group.
The treatment was delivered three times to students who became an experimental group in three different lesson plans by Google Assistant. The researcher wanted to know if there are differences between the experimental group he used. Google Assistant in pronunciation learning and the control group not using Google Assistant.
This research aimed to investigate whether there is a positive and significant impact of using Google Assistant on the pronunciation ability of tenth grade students at SMK Muhammadiyah Sekampung East Lampung.
Population and Sampling Technique
- Population
- Sampling Technique
In cluster sampling, the sampling units contain groups of elements (clusters) instead of individual members or elements in the population.26 The sample of this research was two classes of tenth graders in the TKJ department of SMK Muhammadiyah Sekampung East Lampung. The researcher took two classes, Class X TKJ 2 as an experimental group consisting of 20 students and Class X TKJ 4 as a control group consisting of 20 students.
The Operational Definition of Variables
- Independent Variable
- Dependent Variable
As written earlier, Google Assistant was an artificial intelligence based app developed by Google. It would be beneficial to help the students brush up on their pronunciation. Each student must do an exercise to pronounce a word or short conversation using Google Assistant.
It is an observed aspect of the behavior of an organism that has been stimulated. The dependent variable is that factor that is observed and measured to determine the effect of the independent variables.
Data Collection Method
- Test
- Documentation
Research Instrument
The experimental group and control group were given oral tests, both in pre-test and post-test.
Data Analysis Technique
The purpose of pre-testing the students was to help the researcher get to know the student's pronunciation ability before they were treated using Google Assistant to brush up on theirs. A post-test was administered to determine the pronunciation ability of the students after the treatment. This means that the treatment through Google Assistant successfully affected the students' pronunciation ability.
Ho: In the academic year 2019/2020, the use of Google Assistant did not have a positive and significant effect on the pronunciation ability of the tenth grade students of SMK Muhammadiyah Sekampung East Lampung. Generally, before conducting the research, the researcher conducted a pre-test to determine the prior knowledge of the students' pronunciation ability before the treatment. The researcher hypothesized that learning pronunciation using Google Assistant could help students improve their pronunciation more easily.
Google Assistant successfully helped the tenth grade students of SMK Muhammadiyah Sekampung East Lampung to brush up their pronunciation.
RESULT OF THE RESEARCH
Description of The Research
- The Description of Research Location
- The Description of Research Data
SMK Muhammadiyah Sekampung was established on 5 April 2010 and is registered with the Indonesian Department of Education with the school statistical number. Samsudin Subroto, S.Pd, M.Pd was the founder and also becomes the first headmaster at SMK Muhammadiyah Sekampung. Once the students took the pre-test and the students in the experimental class received a series of treatments using Google Assistant, the researcher conducted the post-test.
The post-test instrument was different from the pre-test, but still has the same pattern and level of difficulty. Based on the frequency distribution, it could be seen that there was no significant difference between the pre-test and the post-test in the control class. Additionally, before conducting the post-test in the experimental classroom, the researcher was given treatments using Google Assistant.
The frequency distribution showed that the students who achieved a score above 60 were 7 students (35% of them).
The Influence of Using Google Assistant on The Students‟ Pronunciation
- Prerequisite Test
- Hypothesis Testing
It would be rejected (Ho) if there was a positive and significant impact of Google Assistant use on students' pronunciation ability and (Ho) accepted if there was no positive and significant impact of Google Assistant use on student pronunciation. pronunciation ability of the students. To get the normality test data, the researcher used SPSS 16.0 for windows with ;. Homogeneity test was a test that proves whether the variances of two or more distributions were equal or not.
To obtain data for the homogeneity test, the researcher used SPSS 16.0 for windows with;. Hypothesis testing was done to know whether or not there was a significant impact of variable X (Google Assistant) on variable Y (pronunciation ability of students). Based on the normality test and the homogeneity test, it was found that the data were normal and homogeneous.
As a result, since the probability or Sig number (2-tailed) was < 0.005, the null hypothesis Ho is rejected and the alternative hypothesis (Ha) is accepted.
Discussion
Therefore, it would make it easier for them to practice pronunciation by directly listening to the native voice. Students would be able to speak directly with the virtual assistant to learn how to pronounce English words. It would have become one of the solutions for students to solve their problems that were difficulties in pronouncing words or vocabulary.
Moreover, according to Supiandi, he stated in his diary that in this modern era we can have a virtual assistant who can be our interlocutor. It could be like the Iron Man movie when Tony Stark talks to his virtual assistant Jarvis. So that the students no longer have to be shy, know that they can do it.
In conclusion, based on the above discussion, the researcher concluded that using Google Assistant could be the solution for the students to encourage and help them to learn the pronunciation.
Limitation
In conclusion, based on the above discussion, the researcher concluded that the use of Google Assistant could be a solution for students to encourage and help them learn pronunciation. the student's pronunciation ability was successful. Based on the results of the research conducted, the researcher can conclude that the use of Google Assistant had a positive and significant impact. With the result, it could be found that there are significant differences between the pronunciation score from the experimental class and the control class, where the post-test score of the experimental class was higher.
We can find that the average score of the control class is 39.5, and that of the experimental class is 60. We suggest the teacher to use Google Assistant to help the students understand how the English word should be pronounced. We suggest that students are more encouraged to learn English, especially to practice pronunciation.
The principal in supervising the English teacher to take advantage of the technology to help the students learn English, so that the students can be more excited to learn English.
CONCLUSION AND SUGGESTION
Conclusion
Suggestion
34; Mengenal apa itu AI (Artificial Intelligence/Kecerdasan Buatan),” di https://rifqifai.com/mengenal-apa-itu-ai-itu-ai-artificial-intelligence-intelligence-artificial/ diakses 4 Maret 2019. R = jarak dari skor maksimum dan minimum I = lama interval pelajaran (total interval pelajaran) N = jumlah siswa.
Pre-Survey Letter
Letter of Reply to the Pre-Survey Letter
Thesis Guidance Latter
Thesis Guidance Consultation Card
Letter of Assignment
Research Letter
Letter of Reply to the Research Letter
Literature-free Certificate
Pre-test Instrument
Score List of Pre-test
Post-test Instrument
Score List of Post-test
Documentation
Attendant List
Pre-requisite Test
Hypothesis Testing
Biography
