UMMAT Scientific Journals (Universitas Muhammadiyah Mataram)
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THE EFFECT OF TEAM ACCELERATED INSTRUCTION MODEL ON STUDENTS' TEXT ANALYSIS ABILITY IN GRADE VII
Get PDFAnalytical skills in understanding and interpreting news texts are essential in Indonesian language learning, particularly in shaping students’ critical thinking. Initial observations at SMP Negeri 29 Medan indicated that students still tended to understand texts literally and had difficulty distinguishing between facts and opinions. This study aims to determine the effect of the Team Accelerated Instruction (TAI) learning model on the analytical skills of seventh-grade students in interpreting news texts. The research employed a quantitative approach with a one-group pretest-posttest pre-experimental design. The sample consisted of 32 students from class VII-8, selected using the quota sampling technique. The instrument used was a multiple-choice test measuring the ability to identify facts and opinions, understand text structure, and evaluate the content of information. The results showed an increase in the average score from 48.91 to 70.31. The normality test indicated a normal data distribution (p > 0.05), and the paired t-test showed a significant difference (p = 0.000). The average N-Gain score of the 32 students was 0.4452, which falls into the “moderate” improvement category. These findings indicate that the TAI model not only significantly improves students’ analytical abilities but also contributes theoretically to supporting cooperative learning approaches based on social constructivism. Practically, TAI can serve as an alternative strategy for strengthening critical literacy in Indonesian language learning aligned with the Kurikulum Merdeka
Deep Learning for Gender-Sensitive Pedagogy in High School Sociology: Opportunities and Challenges
Get PDFGender-sensitive pedagogy plays a crucial role in fostering equitable educational environments, particularly in high school sociology, where discussions on social structures and gender dynamics are central. However, traditional teaching methodologies often reinforce gender biases, limiting opportunities for inclusive learning. With advancements in artificial intelligence (AI) and deep learning, new educational tools have emerged that can help address these biases by providing personalized learning experiences, adaptive assessments, and real-time feedback. This study explores the role of deep learning in supporting gender-sensitive pedagogy through a systematic literature review. The research method follows a qualitative approach, utilizing academic journals, conference proceedings, policy reports, and review articles published within the last five years. The collected data is analyzed using Miles and Huberman’s framework, which includes data reduction, data presentation, and conclusion drawing to identify key themes and trends. The findings indicate that AI-powered tools can detect gender biases, enable adaptive learning, and enhance inclusivity in high school sociology education. However, challenges such as AI biases, ethical concerns, technological barriers, and resistance from traditional educational institutions persist. The study concludes that while deep learning presents significant opportunities for advancing gender-sensitive pedagogy, its effective implementation requires teacher training, policy support, and ethical oversight. Future research should focus on practical applications and long-term impacts of AI in gender-sensitive education
STRATEGIES FOR IMPROVING THE PEDAGOGICAL COMPETENCE OF PRIMARY SCHOOL TEACHERS IN INDONESIA: A SYSTEMATIC LITERATURE REVIEW
Get PDFPedagogical competence is one of the competencies that every teacher must possess, consisting of the ability to understand the characteristics of students, design and implement educational learning, and conduct comprehensive learning evaluations. In elementary education, pedagogical competence is crucial for creating meaningful and student-centered learning experiences. In this context, enhancing teachers' pedagogical competence in elementary schools is a critical issue for improving the quality of education in Indonesia, given the strategic role teachers play in designing, implementing, and evaluating the learning process. This study aims to analyze strategies to improve the pedagogical competence of primary school teachers in Indonesia through a literature review. The method used is a systematic literature review, namely by analyzing 10 articles published in accredited national and international journals between 2015 and 2025. The parts reviewed include abstracts, backgrounds, research results, and conclusions on each article reviewed. Based on the results of the review, it can be concluded that some of the ways that can be done to improve teachers' pedagogical abilities are conducting structured and continuous supervision by school principals so that teachers are able to design Learning Implementation Plans (RPP), manage classroom learning well and implement better assessments. In addition, the implementation of innovative learning strategies is also able to optimize the learning process in the classroom by implementing lesson study learning strategies based on the results of observation and reflection. Teachers need to utilize technological advances in learning, collaborate between teachers and school stakeholders so as to improve their pedagogical competence and attend training that can improve teacher skills in teaching. Further research is needed to test the effectiveness of strategies to improve teachers' pedagogical competencies directly in order to expand the scope of study in the field of elementary schools and inclusive schools, especially in disadvantaged areas, which will form the basis for policy formulation in efforts to improve teacher competencies in a sustainable manner in Indonesia
Pear Deck and Pocable Game on Students’ Vocabulary Knowledge
No full textThis research examined the effectiveness of Pear Deck and Pocable Game in improving students' vocabulary knowledge at SMPN 10 Tarakan. This research used a quasi-experimental method with a quantitative approach and collected test score data from two classes, namely classes VII-I (control) and VII-II (experimental), each consisting of 29 students. Results showed that Pear Deck and Pocable Game significantly improved vocabulary knowledge compared to PowerPoint. The experimental class experienced a more significant increase in mean score, from 69.03 to 86.2 before treatment to 81.62 afterwards. In the control class, the average score increased from 67.31 to 78.12. These findings demonstrate the significant potential of Pear Deck and Pocable Game as learning media that can encourage students to participate interactively during learning, which improves their understanding of pronunciation, meaning, and vocabulary usage. Networked technology and continuous teacher development are needed to create fun and memorable English language learning
Exploring Slang Words on Social Media TikTok in 2024
No full textSlang is rapidly evolving on social media as a form of informal expression, and TikTok has become one of the most dynamic platforms for the spread of slang among the younger generation. This research aims to analyze the types and functions of slang words that develop on the TikTok social media platform in 2024. Using a qualitative approach, this study refers to Allan and Burridge's (2006) classification of slang words, which consists of five categories: fresh and creative, flippant, imitative, acronym, and clipping. Data were obtained from 19 popular TikTok videos, including text in captions, video content, and comments, which featured explicit use of slang expressions. The results show that TikTok users exhibit a high level of linguistic creativity, along with the fast, informal, and multimodal character of digital communication. Of the seven slang functions identified in previous theories, it was found that only three main functions were most dominant, namely: (1) to express impressions, (2) to show closeness or intimacy between users, and (3) to form a relaxed and familiar communication atmosphere. These findings indicate that the use of slang on TikTok not only reflects the dynamics of informal language, but is also an important means of building self-identity and strengthening social relationships among the younger generation. Thus, TikTok can be seen as a digital social space that contributes to the formation and spread of contemporary language innovations
Does Sasaknese have Inflectional Phrase?
No full textIn generative grammar, particularly within X-bar theory, all syntactic structures are endocentric. This principle dictates that a clause or sentence must be analyzed as an inflectional phrase (IP), with the inflectional category as its head. While this principle has been attested across numerous languages and is considered universal, languages like Javanese exhibit patterns distinct from inflectional systems such as English. This study examines the existence of inflectional phrases in Sasaknese, which have not been discussed yet in any other studies of Sasak language, using data from Sasaknese book collected through observational methods. The analysis confirms that Sasaknese lexicons expressing tense, aspect, and modality belong to inflections and project maximally as an Inflectional Phrase
Exploring Technology, Role, and Components of Computational Thinking in Mathematics Learning: A Systematic Literature Review
Get PDFComputational thinking as a 21st century skill has attracted the attention of researchers, including in mathematics education. This research identifies the use of technology, the role and components of computational thinking in mathematics learning. This study uses a sysematic literature review with procedure consisting of planning the review, conducting the review, and reporting the review. The articles used came from the Scopus database in the 2010-2024 publication time range. Based on the PRISMA protocol involving criteria such as type of publication, language, field of study, publication stage, and accessibility to the article, 11 articles were obtained with the most research conducted in Spain. The research conducted involved many students and teachers as the object of research, including pre-service teachers. The reviewed studies also revealed that most of the computational thinking research used qualitative methods where the role of computational thinking in the research was mostly as a process or activity or tools used in learning, either using technological devices or in the form of unplugged activites. In addition, the results of the review of selected articles also reveal that the components of decomposition, pattern recognition, abstraction, and algorithm are still dominating as the main components studied in computational thinking
A Comparison of Multivariate Adaptive Regression Spline and Spline Nonparametric Regression on Life Expectancy in Indonesia
Get PDFLife expectancy is a key indicator of a population’s overall health and well-being. It also reflects the effectiveness of government efforts in improving public welfare. Despite various initiatives by both the government and society to improve life expectancy in Indonesia, significant disparities remain. This quantitative study aims to support these efforts by analyzing factors influencing life expectancy in Indonesia using data from the Indonesian Central Agency of Statistics (BPS) in 2023. A comparative analysis was conducted using two methods: Multivariate Adaptive Regression Spline (MARS) and Spline Nonparametric Regression. The results show that the MARS model outperforms the Spline model, achieving a lower Mean Squared Error (MSE) of 1.183 and a higher R-Square of 82.7%. Key variables significantly influencing life expectancy include access to decent housing, access to safe drinking water, per capita expenditure, and the Gini ratio. The findings not only confirm the presence of complex interactions among predictor variables effectively captured by the MARS method, but also contribute to the existing literature by emphasizing the importance of socioeconomic determinants in health outcomes. From a policy perspective, the results suggest that government strategies should prioritize improving access to basic needs and reducing inequality. These insights can guide targeted, data-driven interventions aimed at enhancing life expectancy in Indonesia
Naïve Bayes Algorithm: Analysis of Student Group Assignment Project Patterns in Mathematics Learning
Get PDFEffective collaboration in mathematics learning is essential for developing students' critical thinking and problem-solving skills; however, identifying patterns that lead to successful group collaboration remains challenging. This study aims explicitly to identify and classify the patterns of student group assignment completion in the Logic and Sets course using the Naïve Bayes algorithm. Survey data from 65 mathematics education students were analyzed using a quantitative approach and machine learning techniques. Attributes such as group size, task completion time, participation, contribution strategies, and communication effectiveness were collected via structured questionnaires. Data analysis involved preprocessing, model training using Naïve Bayes, and validation through accuracy and posterior probability analysis. Results indicated that the Naïve Bayes model accurately distinguished groups with very good (A) and fairly good (B) performance, achieving 84.62% accuracy. Groups achieving an A grade typically featured balanced participation and open communication strategies, whereas groups graded B exhibited uneven participation and passive members. This research significantly contributes by demonstrating how data-driven predictive analytics can support instructors in monitoring and enhancing collaborative learning processes in mathematics courses. Future research could further refine predictive accuracy by incorporating additional factors such as leadership style and collaborative technologies, potentially integrating the model into learning management systems for real-time evaluation and intervention
Survival Time Analysis of Multiple Myeloma Patients using Type 1 Censored Exponential Distribution Parameter Estimation
Get PDFMultiple myeloma is a type of blood cancer that attacks plasma cells in the bone marrow and affects the immune system. This study analyzes the survival time of patients with multiple myeloma using Type 1 censored exponential distributed parameter estimation. The data, consisting of 47 patients (35 uncensored and 12 censored), were tested for exponential distribution fit using the Anderson-Darling test, yielding a p-value of 0.495, confirming the suitability of the exponential model. The maximum likelihood estimation method was applied, resulting in a parameter estimate (θ ̂) of approximately 54.028 days, representing the mean survival time. Hypothesis testing and confidence intervals were conducted, with the 95% confidence interval for θ_0 ranging between 32 and 53 days. The findings suggest that the exponential distribution effectively models the survival data, providing insights into patient survival trends and supporting clinical decision-making