TPACK-Based Learning Management Training for Batch 2 Pekerti University of Bengkulu

This activity aims to train lecturers in managing TPACK-based learning through the PEKERTI (Basic Instruction Technique Skills Improvement) Batch 2 2023 program.The activity was carried out in March 2023 at Bengkulu University, with a total of 39 participants in the training who were lecturers from different tertiary institutions. The research instrument used was a closed questionnaire with 4 answer choices. The data analysis technique used is descriptive statistical analysis. PEKERTI participant response analysisrelated to training activitiescarried out on the data obtained in the form of a percentage. Percentages are obtained based on modified Likert Scale calculations. The results showed that more than 50% of the respondents were in the Strongly Agree category based on the guidelines in table 4 of the Likert scale interpretation. As for the disagree and strongly agree categories, the number is 0 respondents. This means that the respondents who were the sample in this study only gave answers that strongly agreed and agreed to the 19 positive statements submitted in the questionnaire developed with reference to PEKERTI batch 2 activities in 2023 at the University of Bengkulu. So, it can be concluded that the TPACK-based learning management training in Pekerti Batch 2 at the University of Bengkulu received a positive response from the participants.


A. Introduction
Since the Government no longer issues Deed V certificates for lecturers as a form of coaching and pedagogical development, lecturers can take part in a replacement program, namely the Improvement of Basic Instructional Technique Skills (PEKERTI) [1].
In education 4.0 it is important to be able to adapt to various models, media and learning methods. This is because education 4.0 places demands on teachers to be able to master various technological developments in the teaching and learning process [2]- [5]. The problems faced in learning in Indonesia today include many teachers who use technology in learning, but do not pay attention to pedagogical education. This TPACK-based learning can then become one of the components as a complement in supporting learning using technology that still pays attention to pedagogic aspects [6], [7]. Because in addition to the use of technology as a learning medium, in the TPACK framework, pedagogy is an important aspect that needs to be considered in learning activities [8]- [10]. TPACK is the knowledge needed to integrate technology in learning [11], [12]. The three main studies in TPACK include technological knowledge, content knowledge, and pedagogical knowledge, with these three things helping teachers to meet learning objectives better [13], [14]. Through the TPACK approach the teacher is able to master and integrate pedagogical competencies, knowledge and technology so that learning is effective, innovative and can improve student learning outcomes [15], [16].
Given the important role of technology in current learning and the importance of knowledge about how to integrate technology in learning while still paying attention to the pedagogic side, the PEKERTI activity batch 2 in 2023 at Bengkulu University takes the themeTPACK-based learning management.

B. Research Methods
This activity aims to train lecturers in managing TPACK-based learning through the PEKERTI (Basic Instructional Engineering Skills Improvement) program.The activity was carried out in March 2023 at Bengkulu University, with a total of 39 participants in the training who were lecturers from different tertiary institutions. The research instrument used was a closed questionnaire with 4 answer choices. The data analysis technique used is descriptive statistical analysis. PEKERTI participant response analysis related to training activities carried out on the data obtained in the form of a percentage. Percentages are obtained based on modified Likert Scale calculations. With a Likert scale, the variables to be measured are translated into variable indicators. Furthermore, these indicators are used as guidelines in compiling items in the form of questions or statements. Instrument items are given quantitative values as in  [17]. The following are the results of testing the validity and reliability of the instrument.   The table above shows that the instrument used is reliable because it has a Cronbach alpha value greater than 0.60.
Analysis of the results of PEKERTI participants' responses was carried out quantitatively using the following formula.

100% n p N =
where P is the percentage of the results of the questionnaire analysis, n is the total score of the assessment, and N is the maximum possible score. For the Likert scale, the score interpretation model can be seen in the following table.

Figure 2. PEKERTI Participant Response Analysis Results
From the picture above, it can be seen that more than 50% of respondents are in the Strongly Agree category based on the guidelines in table 4 of the Likert scale interpretation. As for the disagree and strongly agree categories, the number is 0 respondents. This means that the respondents who were the sample in this study only gave answers that strongly agreed and agreed to the 19 positive statements submitted in the questionnaire developed with reference to PEKERTI batch 2 activities in 2023 at the University of Bengkulu.
Based on the responses from the PEKERTI participants, which were submitted by the participants through the distributed questionnaires, it was found that the material presented in the training activities was easy to understand, the material presented was clear and very much in line with the training objectives. In terms of the method of delivery, it is known that the method of delivering the material is easy to understand and the methods used in conveying the material are in accordance with the times.
In addition, the delivery of material is carried out in a structured manner and is also supported by practical activities that are easy to follow and well guided so that participants recognize that from PEKERTI activities, participants get many new things.
In terms of technology, PEKERTI participants stated that the technology that was trained to be used in order to support the implementation of TPACK-based learning management is a technology that is easy to operate because it does not require mastery of programming languages. In addition, the technology is also updated with the times.
This training activity encourages PEKERTI participants to be more creative in carrying out the learning process, increases digital literacy, and makes them aware of the importance of technology in today's modern era and about the importance of integration between technology and pedagogy in content development in the world of education. With so many positive sides of the material chosen in this PEKERTI activity, it is necessary to retrain this material so that the understanding gained is not forgotten. For this reason, the existence of a learning tutorial video provided is very helpful for PEKERTI participants.
TPACK-based learning is adaptive learning, meaning that it adjusts to developments in science and technology so that it can be said that this training activity supports the concept of education emphasized in the 21st century where teachers are required to be proficient in applying technology in learning.

D. Conclusion
The results of filling out the response questionnaire conducted by the PEKERTI participants showed that more than 50% of the respondents were in the Strongly Agree category based on the guidelines in table 4 of the Likert scale interpretation. As for the disagree and strongly agree categories, the number is 0 respondents. This means that the respondents who were the sample in this study only gave answers that strongly agreed and agreed to the 19 positive statements submitted in the questionnaire developed with reference to PEKERTI batch 2 activities in 2023 at the University of Bengkulu. So, it can be concluded that the TPACK-based learning management training in Pekerti Batch 2 at the University of Bengkulu received a positive response from the participants.

E. Acknowledgments
Thanks are addressed to all parties involved in the 2023 batch PEKERTI activities at the University of Bengkulu.