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Politics is not socially empty. Therefore, politicians must also find the right strategy to increase popularity and electability. One way that can be used is the use of social media. Social media is now widely used by political actors as a means to absorb aspirations in the political field. One of the social media that is currently widely used as a political tool is TikTok. As of April 2022, there are 99,072,000 TikTok users in Indonesia or 51.1% of the Indonesian population aged 18 years and over. This article aimed to explore how Ganjar Pranowo built his self-image through his TikTok account @ganjarpranowofc and what storytelling strategies were used in that image. A qualitative approach with a content analysis method is used in writing this article. There are 252 videos from the TikTok account @ganjarpranowo were analyzed from January to May 2022. This article uses the political image category approach described in Liebhart and Bernhardt's research (2017) as a basis for analysis. From this research, Ganjar Pranowo simplifies political issues in his imagery efforts. In addition, there are indications of three storytelling strategies used in political imagery on the TikTok account: the biographical strategy, the incumbent strategy, and the Kagama chairman strategy.

Efficiently managing academic information systems (AIS) is essential for educational institutions to provide reliable services to students and faculty. This research explores the integration of HAProxy load balancing and file synchronization techniques to optimize the performance of AIS. HAProxy is employed to distribute incoming requests across multiple backend servers, and the backend will call web service to access the data saved in the database to facilitate seamless data sharing and access. Additionally, file synchronization mechanisms are implemented to maintain consistency across scripts used in the backend system. The study conducts performance evaluations and benchmarks to assess the impact of HAProxy load balancing and file synchronization on AIS responsiveness and reliability. The results reveal significant system scalability and fault tolerance improvements, reducing downtime and enhancing user experience. This research contributes to optimizing academic information systems, enhancing their ability to handle increased loads, and ensuring the efficient delivery of educational services.

One of the geopark tourism areas in East Lampung Regency, "Gua Pandan," has run into rock subsidence on the surface. As part of the subsidence prevention, indirect electrical methods between resistivity and chargeability profiling were applied to identify the presence of a subsurface cave in the study area. Two measurement lines were carried out with Wenner Alpha and Wenner Schlumberger arrays. Because the depth target is shallow (approximately 10 m) and to obtain a better resolution, each line has a stretch length of 70 m and 2 m electrode spacing. A line was measured over a known underground cave to produce a desired outcome, and the other was in an area with no cavities. Based on the results from each profile of resistivity and chargeability, an air-filled target has a value of over 5,000 and under 6 ms, respectively. Then, integrated processing of both methods generated a metal factor (MF) profile to view the presence and estimated shape of the cave/ cavities. The result represents that an MF value under 1.5 ms/Ωm is a cavity, and solid rock is over 1.5 ms/Ωm. Also, the MF level from both configurations delineates a similar section. However, a modest difference occurs in estimating the cavity shape geometry, for Wenner Apha and for Wenner Schlumberger. Furthermore, this study can be an initial step in safety assessment in the area.

This research aims to determine the relationship between curiosity factors and device addiction with digital literacy motivation in the context of smart learning. This qualitative study involves a sample of 228 students majoring in Electronics Engineering Education at Universitas Negeri Padang. The data collection technique was carried out using a questionnaire with a Likert scale using the saturated sampling method. Structural Equation Modeling (SEM) analysis was used to evaluate the measurement model of the research questions. The results showed that digital literacy skills are influenced by three main factors: curiosity, gadget addiction, and app addiction. The findings offer valuable insights for curriculum development, especially in improving digital literacy among electronic engineering education students preparing to face the challenges of the Industrial Revolution 4.0 era.

Today's technological developments are growing rapidly, but there are still jobs that are done manually and semi-manually. This paper aims to develop a control system to coordinate the work of tools using an electric motor, which is very helpful in the process of cutting onions in large quantities and is more efficient in spending production costs because the tool designed is an automatic onion cutter. This research method begins with the collection of materials and data related to onion cutters, production of onion cutters, and testing of onion cutters. The measurement results of the tool show that every component in the automatic onion cutter works well and optimally; the measurement process is carried out properly and thoroughly. This optimal work result is supported by Arduino Uno. The Arduino Uno microcontroller acts as a tool controller. In the main system, the onion cutter is controlled by the Arduino Uno with the Arduino programming language. This automatic onion cutting system will work when the onion you want to cut has been inserted into a cross-section that has been equipped with an ultrasonic sensor, and then the onion cutting process is carried out. Compared with the manual method, the cutting time is almost the same. It's just that the advantages of slicing with this tool, the resulting slices are relatively more uniform. Besides that, another advantage is that it doesn't hurt the eyes of the onion slicer. So that this tool can be used by small entrepreneurs and onion farmers to increase productivity and the community's economy.

The increase in the frequency, duration and dependence of individuals using smartphones in the last decade has resulted in a phenomenon of mental health disorders in the form of problematic smartphone usage. This study aims to analyze the causes of problematic smartphone usage based on the conditions of Fear of Missing Out (FOMO), loneliness, virtual presence, and future time perspectives.This study uses a quantitative approach through survey methods and uses a cross-sectional study method and post-positivism assumptions to look at the factors that cause dependent variables. In this study, 597 students were involved, with 290 males (48.57%) and 307 females (51.43%). Path analysis was used in the analysis of this study to determine the impact of the direct and indirect effects of exogenous variables on endogenous variables. Path analysis is also used in mapping and testing the hypotheses that make up the model. The study results show that the virtual presence, loneliness, and future time perspective variables impact individuals' emergence of FOMO conditions, which in turn contributes to the formation of problematic smartphone usage. The study of the direct and indirect relationships of the variables is discussed.

Online learning is an alternative during the COVID-19 pandemic. This study aims to empirically verify the impact of the learning system during the COVID-19 pandemic in several countries and Indonesia. The method used in writing this article is using the prism method, which is part of the literature search method from national and international article sources, which is carried out using an indexed search on Google Scholar. The articles reviewed were the latest 49 articles from 2020 to 2022, consisting of 40 national journals and 9 international journals. The results of the study are presented as follows; (1) The search results prove an increase in the number of articles published from 2020-2021; (2) The distribution of articles by type and method of data is presented using more qualitative data; (3) The results showed that the impact of the learning system during the covid-19 pandemic had a major impact on the learning system, namely the positive and negative impacts of online learning carried out by every school facing the covid-19 pandemic. Online learning itself is very influential on learning during the pandemic and is the most widely used. Digital literacy competence is highly demanded in the conditions of the COVID-19 pandemic.

Academic supervision makes vocational high schools able to improve the quality of graduates to be ready to work and able to compete in the job market in people's lives. This paper aims to explore and describe the implementation of quality and supervision of vocational high schools using a qualitative approach. This type of qualitative research with a case study research design. The main target of this research is the supervisor of a vocational school in the city of Padang. This study is limited to a qualitative description of the implementation of quality and supervision of Vocational High Schools. The source of this research data is from key-informant, purposively. Data collection techniques with interview and observation techniques. Analyze data by coding, linking, and interpreting themes. The results of the research are: 1.) Supervisors are not ready to carry out supervision; 2.) The education office is less than optimal in empowering supervisors; 3.) Supervisors are less aggressive in positioning themselves; 4.) The coordinator of supervisors does not carry out his functions optimally; 5.) The low motivation of supervisors; 6.) The distribution of procurement of supervisors is uneven; 7.) The control mechanism for supervisors and the coordinator of supervisors is not working properly; 8.) Reward and punishment do not work; 9.) School visits are just routine; and 10.) Relations with teachers and schools are not well established. The conclusion is that the implementation of academic supervision is still not running optimal and lacks good communication and coordination.

In the current Covid-19 transition period, innovations in early childhood learning models are needed that are effectively used. The many models of early childhood learning during this pandemic need to be studied further which are appropriate for implementation. This study aims to empirically verify the early childhood learning model during the COVID-19 pandemic and analyze the factors that influence early childhood learning during the Covid-19 period. The method used in writing this article is a systematic literature review, which is a literature search from national article sources conducted using indexed searches on Google Scholar and Microsoft Academic. This literature review was conducted using the prism method technique. The articles reviewed are the most recent 50 articles from 2020 to 2021, and the results were sorted into 26 articles. All articles are classified by year of publication, type of indexing journal, method, and early childhood learning model. The results of the study are presented as follows. (1) The search results prove an increase in the number of articles published from 2020-2021. (2) The results of the study show that the most widely used learning model in early childhood learning involves the participation and assistance of parents in children's learning at home through learning media created by teachers and distributed through social media. (3) The obstacles that can be identified are: (a) the role of parents in children's learning during the pandemic is still less than optimal, (b) the lack of mastery of technology skills of students and parents during online learning. So it is necessary to develop an early childhood learning model that can be applied in online implementation, able to facilitate collaboration between parents, teachers, and students.

The challenges of online learning during the Covid-19 pandemic require creativity and learning innovation, so online learning evaluation is very much needed. The purpose of this paper is to explore the implementation of Quizizz-based online evaluation in universities as a fun alternative to evaluation. Quizizz has adequate features to serve as a means of evaluating online learning such as quizzes and daily assessments. However, most of them only use Quizizz as a learning game, whereas through Quizizz various formal learning evaluations can be carried out such as quizzes, daily assessments, surveys and so on. This research method is a qualitative method. Methods of collecting data with literature review, observation, and interviews. Sampling was selected by purposive sampling method, There are 56 students from the class of 2021 who are taking electronic components lectures, of which 21 are male and 35 are female, ranging in age from 19 to 20 years. The results of the study found that the implementation of Quizizz is easy to use, has many features and many facilities that support learning evaluation activities. Furthermore, the use of features on Quizizz, such as Live Quiz, gives the impression of live evaluation which is fun. Learning evaluation through Quizizz can make it easier for lecturers to make detailed and objective assessments. So, with the current Covid-19 pandemic, learning evaluation with Quizizz is the right alternative.

According to the field of expertise, efforts to strengthen the competence of graduates continue to be pursued, especially through optimizing the learning process. Among these efforts is to use learning media that strengthen the competence of the field of study and about thinking skills. This study aims to produce a trainer kit as a medium for learning basic electricity and electronics based on fault-finding in Basic Electrical and Electronics subjects. The method used is the Richey and Klein Design and Development (DD) method which consists of three stages, including planning (design), production, and evaluation. Experts carried out the assessment of the feasibility of the trainer kit with an instrument in the form of a questionnaire. The results of this study indicate that the trainer kit has a good performance.According to the field of expertise, efforts to strengthen the competence of graduates continue to be pursued, especially through optimizing the learning process. Among these efforts is to use learning media that strengthen the competence of the field of study and about thinking skills. This study aims to produce a trainer kit as a medium for learning basic electricity and electronics based on fault-finding in Basic Electrical and Electronics subjects. The method used is the Richey and Klein Design and Development (DD) method which consists of three stages, including planning (design), production, and evaluation. Experts carried out the assessment of the feasibility of the trainer kit with an instrument in the form of a questionnaire. The results of this study indicate that the trainer kit has a good performance.

This research was conducted because the students' self-efficacy in entrepreneurship is still low. Production-based entrepreneurship training model, learning readiness is assumed to be a factor that affects student entrepreneurship self-efficacy. The purpose of this study was to examine the contribution of the production-based entrepreneurship training model, learning readiness, and locus of control to student entrepreneurship self-efficacy. This study uses quantitative methods with multiple regression. The population is all students who take the general course of entrepreneurship in Higher Education as many as 500 people, and a sample of 200 students who are selected using proportional stratified random sampling. The questionnaire stands as an effective data collection method to examine the variables to be measured and the answers expected by the respondents. The questionnaire applied the Likert scale by providing opportunities to answer each item. Data were analyzed using multiple regression. The research findings show that there is a joint contribution of the production-based entrepreneurship training model, learning readiness, and locus of control to the entrepreneurial self-efficacy of students

This study explores eight key themes: Self-control, personalized learning, smartphone habits, future-time perspective, information overload, digital literacy, meaningful learning, and metacognitive awareness. The primary objective is to investigate the correlations among these factors. Virtual presence serves as a moderating variable, influencing the connections between smartphone habits and digital literacy, as well as between self-control and digital literacy. Additionally, it moderates the relationship between self-control and information overload. The study collected data from 597 engineering students, utilizing a quantitative research approach and employing a questionnaire as the research instrument. Statistical analysis was conducted using a partial least squares structural equation model, implemented with SmartPLS version 4. The study's hypotheses showed a significant impact on each variable, with only the relationships between information overload and meaningful learning, and smartphone habit and metacognitive awareness showing no significant effects, as indicated by the findings.

Pressure during the learning process is a common thing experienced by students. At some points, this pressure will be beneficial in increasing fighting power and motivation, but on the other hand, high-pressure conditions will affect students' mental health. This condition was also experienced when students entered the learning phase during the Covid-19 pandemic. Although several studies have revealed the effectiveness of distance learning during the pandemic, this study aims to reveal causal factors of learning pressure conditions during the pandemic such that it can trigger the emergence of academic stress. This study involved 750 students spread throughout Indonesia. Data gathering was through the use of a questionnaire with indicators developed from existing measuring tools. Data analysis using Structural Equation Model-Partial Least Square (SEM-PLS) with Model Measurement Analysis (MMA) indicate loading, Cronbach Alpha, composite reliability, Average Variance Extracted (AVE) in fit conditions, and Structural Model testing also demonstrated valid condition and fit. The analysis shows a positive relationship between the predictors of the structural model consisting of self-expectation, despondency, grade worriness, and workload, which impact student learning pressures during the pandemic. There is an effect of workload mediation on the relationship between self-expectation and learning pressure. In reducing and controlling student learning pressures during a pandemic, it is necessary to consider these factors in learning activities.

This research was motivated by the entrepreneurship learning outcomes in vocational education which is still poor. Technopreneurship scientific learning and learning readiness are assumed to be factors affecting entrepreneurship learning outcomes. The purpose of this study is to describe and test the contribution of technopreneurship scientific learning and readiness to learning of entrepreneurship learning outcomes. This research used the quantitative method with correlation descriptive. The population was all students who follow the general course of entrepreneurship in Higher Education for 1100 people. While the samples are 217 students who were selected by using proportional stratified random sampling. This research tool was a Likert scale and a valid and reliable reading comprehension test. Data were analyzed using descriptive statistics, simple regression and multiple regressions. The research findings show that there is a contribution of both technopreneurship scientific learning and learning readiness to entrepreneurship learning outcomes.

The purpose of this study is to describe the needs analysis of production-based entrepreneurship training models in higher education. This is a quantitative and descriptive research with data purposively collected from 110 students that took entrepreneurship courses using questionnaires. The obtained data analyzed using the descriptive statistics method. Furthermore, this research was limited to the definition stage, which is to obtain information on the analysis of production-based entrepreneurship training needs seen from entrepreneurship learning. The results showed that the need for production-based on entrepreneurship training was categorized at a fairly good level, which contained elements of learning and teaching. Needs analysis is an important research activity used to obtain in-depth information as a basis for carrying out subsequent activities.

This paper aims to explore and explain the application entrepreneurship module based products in higher vocational education. Methods of the development of this research using stages of Analysis, Design, Development, Implementation (ADDI). Subjects were students who are taking entrepreneurship courses in higher vocational education. The technique of data analysis was the learning outcomes of the application of product based entrepreneurship module which consisted of, (1) the results of the cognitive aspects of learning achievement test used in the form of multiple-choice tests; (2) the study results in the affective aspects obtained from the measurement results against predefined criteria, with special sections that assess students' attitude during the process and attitude of learning, particularly in the work of making a product; (3) the results of study on psychomotor aspect views from the observation of activities and work activities done by the students. Based on cognitive aspects of learning outcomes for entrepreneurial learning showed that test before using the product based entrepreneurship modules have an average of learning outcomes is quite effective and after using the product based entrepreneurship modules have an average is the effective category. The average results of student learning in psychomotor and affective aspects before using the module are quite effective and after using the product based entrepreneurship module psychomotor and affective aspects have an average result of learning is very effective. It can be concluded that learning with product based entrepreneurship module can improve student learning outcomes in higher vocational education.

The objective of this study is to determine the impact of entrepreneurship and digital literacy on the inclination of college students to initiate their own business ventures. Furthermore, the study aims to examine the role of business attitude and self-efficacy as mediators and moderators. The data utilized in this investigation was sourced from a sample of 536 authentic individuals and only pertains to Indonesia. The acquired data is analyzed using partial least squares structural equation modeling to evaluate the research model. The findings indicate that possessing a creative mentality, receiving formal education in entrepreneurship, and demonstrating proficiency in technology can significantly enhance an individual's inclination to embark on an entrepreneurial endeavor. Moreover, the entrepreneurial mindset serves as a bridge between the acquisition of business knowledge with the desire to become an entrepreneur. The results indicate that self-efficacy has a positive impact on the relationship between the aspiration to become an entrepreneur and having an entrepreneurial mindset. The unexpected finding revealed that self-efficacy diminishes the link between acquiring knowledge about entrepreneurship and the inclination to establish a business. Moreover, the results suggest that self-efficacy does not modify the correlation between digital knowledge and the inclination to start one's own business. The findings of the study have important implications for both the theoretical comprehension and practical execution of establishing and achieving company objectives. [ABSTRACT FROM AUTHOR]

Research found that self-efficacy has an important role in the development of students’ career cognitive skills. Besides, there still needs further research in self-efficacy, particularly in career readiness. The authors conduct this continuing study is to determine the effect of understanding perceived self-efficacy on student’s awareness in career readiness (mastery experience, vicarious experience, social persuasion, and emotional arousal). Data collected using a self-report of the Self-Efficacy Scale in Career Readiness (SESCR), semi-structured interview, and observation of student’s behavior between both participants with the high and low level of self-efficacy. In the current study, 100 students involved based on their convenience. Results showed that 66% of participants have a high mastery experience, 69% with high vicarious experience, 76% have a high percentage in social persuasion, and 70% have a high level of emotional arousal to understanding their career readiness. The results also showed perceived self-efficacy predicts student’s awareness of career readiness based on gender.