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This study aims to examine the effectiveness of various innovative learning models on improving student learning outcomes and mathematical skills at the junior high school and senior high school levels. The method used is a literarure study of previous research results that applied learning models such as the Flipped Classroom, Project-Based Learning (PjBL), Peer-Led Team Learning (PLTL), Discovery Learning, Mind Mapping, and other cooperative learning models. The analysis results indicate that these models generally have a positive impact on enhancing students' learning engagement, critical and creative thinking skills, numeracy skills, mathematical communication, and problem-solving abilities. These findings reinforce the urgency of adopting student-centred learning approaches based on higher-order thinking skills (HOTS). Therefore, it is recommended that teachers continue to develop the application of innovative learning models in accordance with the characteristics of students and supported by educational policies that encourage innovation and continuous training. This research is expected to serve as a reference for educators and policymakers in designing more effective and meaningful learning.   

As business complexity and global competition intensify, the limitations of traditional cost accounting systems in providing relevant information for strategic decision-making become increasingly apparent. This has driven the adoption of Activity-Based Costing (ABC) and subsequently Activity-Based Management (ABM), which have evolved as vital tools to accurately allocate costs based on activities and transform this information into value-enhancing and efficiency-improving strategies. This study aims to map the landscape, influence, and visibility of ABC and ABM publications through a comprehensive bibliometric analysis using VOSviewer. The research method involves a Systematic Literature Review (SLR) for data collection and screening from 488 publications (2023-2025) indexed in Scopus from Google Scholar, followed by data analysis and visualization of co-authorship and keyword co-occurrence networks. The analysis results show the dominance of core concepts such as "activity-based costing/management," "activity," "costing," and "management" as the foundation of research. Identified thematic clusters include the basic applications of ABC and its impact on performance, managerial aspects of ABM, efficiency, and the challenges and benefits of implementation. Temporal trends indicate a shift in the focus of recent research towards the strategic and managerial contributions of ABM/ABC in enhancing efficiency, supporting decision-making, and driving organizational performance. Density visualizations confirm research "hotspots" in these areas, while also highlighting potential research gaps for the future. The conclusion demonstrates the continuous relevance of ABC and ABM as adaptive cost and performance management tools, as well as the evolution of the discipline continually adapting to modern business's strategic needs, guiding researchers and practitioners for further exploration.

This study is entitled The Translation Strategies Of “Gift” From English Into Indonesian Applied In The Subtitle Of The Movie Encanto. This study aims to find out the subtitling strategies applied in translating the Indonesian subtitle of an English movie Encanto and analyze the translation equivalence of the movie subtitle. The data were taken from the Indonesian subtitle of Encanto movie using the streaming movie platform Disney+ Hotstar. The data were collected using the documentation method with a note-taking technique. Descriptive methods with qualitative approaches were used to analyze the data. All the data collected is based on the Theory of Subtitling Strategies according to Gottlieb (1992) and the Theory of Translation Equivalence according to Nida (1964). The result of the analysis shows that only six of ten subtitling strategies and the analysis shows two combinations of subtitling strategies were applied by the translator in the subtitle translation. Transfer strategy is the most frequently used. The result of the data shows that the translation of Encanto’s movie subtitle is equivalent. It shows that Formal equivalence appears more than Formal equivalence. Another finding in this research is that the translator could use more than two strategies in English movies with Spanish culture.    

The workshop on the preparation of Higher Order Thinking Skills (HOTS) questions at MI Islamiyah Palangka Raya aims to improve the competence of educators in designing problems that challenge students' high-level thinking skills. This study uses a qualitative descriptive method with a participatory approach, which involves interactive lectures, group discussions, hands-on practice in the preparation of questions, and integration of learning technologies. The results of the activity showed that participants gained a better understanding of the concept of HOTS, active learning strategies, and problem preparation techniques that can develop students' critical, creative, and analytical thinking skills. Practice sessions involving the creation of questions and presentation of the results provide an opportunity for teachers to share experiences and constructive feedback. In addition, the introduction of educational applications and digital media opens up new insights into the importance of technology in supporting the learning process. Despite the challenges in mastering technology, the enthusiasm of the participants to implement technology in their learning was very high. In conclusion, this workshop makes a positive contribution to improving the professional competence of teachers, and to ensure the sustainability of the workshop results, follow-up is needed in the form of further training and support from the school.

This study aims to explore innovative learning strategies in fostering students' critical thinking skills. Critical thinking skills are increasingly essential in today’s complex and challenging era. Approaches such as Problem-Based Learning (PBL), Project-Based Learning (PjBL), as well as open discussions and debates, are capable of encouraging students to think analytically, logically, and reflectively. These strategies emphasize the active role of students in the learning process—not merely as recipients of information, but also as seekers and processors of knowledge. Teachers serve as facilitators who create a learning environment that supports exploration and problem-solving. The evaluation of critical thinking skills is conducted through instruments such as rubrics, Higher Order Thinking Skills (HOTS) questions, and analytical essay tests, which allow for an in-depth assessment of students' abilities. The findings show that innovative learning is more effective than conventional methods in developing critical thinking skills. Therefore, these strategies are worth implementing widely in the education system to prepare students to face future challenges critically, creatively, and adaptively.

Learning based on Higher Order Thinking Skills (HOTS) is an effective strategy for sharpening children's intelligence in elementary schools. HOTS questions are designed to train students' critical, analytical, and creative thinking skills, enabling them to solve problems independently. This article discusses the basic concepts of HOTS questions, strategies for their implementation in learning, and their benefits in improving children's comprehension quality. Several effective strategies in HOTS-based learning include using challenging questions, problem-based learning, reflective discussions, and utilizing technology and interactive media. Additionally, this article identifies the challenges faced in implementing HOTS in elementary schools and solutions that educators can apply. With proper implementation, HOTS questions can help students develop higher-order thinking skills essential for facing future challenges.    

Learning based on Higher Order Thinking Skills (HOTS) is an effective strategy for sharpening children's intelligence in elementary schools. HOTS questions are designed to train students' critical, analytical, and creative thinking skills, enabling them to solve problems independently. This article discusses the basic concepts of HOTS questions, strategies for their implementation in learning, and their benefits in improving children's comprehension quality. Several effective strategies in HOTS-based learning include using challenging questions, problem-based learning, reflective discussions, and utilizing technology and interactive media. Additionally, this article identifies the challenges faced in implementing HOTS in elementary schools and solutions that educators can apply. With proper implementation, HOTS questions can help students develop higher-order thinking skills essential for facing future challenges.    

This study aims to determine the achievement of students‘ critical thinking skills in solving HOTS-based Mathematics problems in terms of students’ learning styles at SD Negeri Gembira, Nangahale Village. This type of descriptive qualitative research aims to present in-depth information about a subject. The research was conducted at SD Negeri Gembira Desa Nangahale in even semester on 10 April-17 May 2023. Primary data sources were obtained from observation. While secondary data sources were obtained from tests, questionnaires, and interviews. Data collection techniques using tests, learning style questionnaires and interviews. Data analysis in this study used miles and huberman model data analysis, namely data presentation, data reduction and conclusion drawing. The results showed that subjects with visual learning styles revealed that the thinking process on each indicator of critical thinking ability smoothly so that the subject could solve the problem correctly. Subjects with auditory learning styles reveal well the critical thinking process on each indicator of critical thinking ability.

This study aims to examine the impact of the Project-Based Learning (PBL) model in improving critical thinking skills (Higher Order Thinking Skills/HOTS) and mastery of Social Science (IPS) concepts among 8th-grade students at UPT SPF SMPN 4 Makassar. A quasi-experimental design with a nonequivalent control group was used, involving an experimental group (PBL) and a control group (conventional learning). The sample consisted of two classes (30 students per class) selected purposively. Data were collected through HOTS essay tests (pretest-posttest), PBL-based worksheets, and observation sheets. Data analysis was conducted using parametric statistical tests (independent sample T-test) supported by IBM SPSS Statistics 22 and Cohen’s d for effect size. The results show that, 1) the pretest indicated critical thinking and concept mastery were in the "Sufficient" category (96.67%), with only a small portion in the "Good" category (3.33%). After PBL implementation, post-test results revealed a significant improvement, with 93.33% in the "Good" category for critical thinking and a 23.33% increase in concept mastery. 2) PBL significantly enhanced critical thinking skills and 3) PBL significantly improved concept mastery in Social Science.

One of the competencies that must be mastered to face global competition in the 21st century world of work is individuals who have critical thinking skills. Critical thinking is one form of HOTS application. The purpose of this study was to analyze the HOTS test instrument to measure critical thinking skills. The method used is Research and Development which is reduced to 3D (define, design, development). The subjects in this study were students of class XI MIPA MAN 2 Wonosobo, with data collection techniques namely interviews, tests and questionnaires. The data analysis technique in this study was validation by experts and analysis with the Rasch model assisted by Ministep software. Analyzes with the Rasch model include summary statistics, item fit, item size, item correlation, and person size. Validation from experts gets an average score of 140 out of 160 with an average proportion of 87.7% which indicates a very valid instrument. Summary statistics for the testing phase show that the measurement of the person is 0.69 and 0.73 and the measurement of the item is 0.86 and 0.87, which means that the consistency of the student's answers is in the sufficient category, but the quality of the items is good. For the person measure implementation test stage it showed 0.69 and 0.74 meaning that the consistency of student answers was also in the sufficient category, while the quality of the items for the reliability aspect was in the special category with values ​​of 0.96 and 0.97. Item Fit or the level of adding item items shows a 100% fit item from the testing stage to implementation.

The implementation of creative and innovative learning models based on Higher Order Thinking Skills (HOTS) in the digital era is a must in an effort to improve the quality of education that is relevant to the challenges of the times. This study aims to analyze the effectiveness of the implementation of creative and innovative learning models based on HOTS in the digital era and identify supporting and inhibiting factors in the process. This study uses a qualitative descriptive research method. Data collection was carried out using interview and observation guidelines. Data analysis was carried out in stages, data reduction, data presentation and drawing conclusions. The results of the study indicate that the creative and innovative learning mode approach based on HOTS is very important to improve students' critical and creative thinking skills, which are the main needs in facing the challenges of the 21st century.

The implementation of Higher Order Thinking Skills (HOTS)-based questions in primary school education aims to enhance students' critical and creative thinking abilities. However, the biggest challenge in its implementation is how to assess and improve students' understanding of HOTS questions. This study aims to evaluate the understanding of 6-C grade students at SDN 101766 Bandar Setia regarding HOTS questions in Science and Social Studies (IPAS) learning, identify existing gaps in understanding, and provide recommendations for more effective teaching strategies. The research method used is direct observation complemented by a HOTS questionnaire consisting of five questions focused on students' abilities in analysis, evaluation, and creation. The study participants involved 17 students from grade 6-C who were observed in November 2024. The results showed that only 23.5% of students were able to answer the questions well, while the majority, 58.8%, did not understand the questions at all. The students with moderate understanding amounted to 17.7%. Based on these results, it is recommended that HOTS questions be introduced gradually, with improvements in teaching methods and the creation of a learning environment that supports the development of students' critical thinking skills.

This study developed a Discovery Learning model with a Meaningful Learning approach to improve students' critical thinking skills in Economics at SMAN 2 Tulang Bawang Udik. The study used the ADDIE model and produced a conceptual model, lesson plans, student worksheets, and HOTS assessment instruments. Expert validation results showed that the products were feasible, practicality tests obtained a very practical category, and effectiveness tests with a Nonequivalent Control Group design showed that the critical thinking of students in the experimental class was higher than that of the control class. These results confirm that this learning model is feasible, practical, and effective, and can be a guide for teachers for active, contextual, and high-level thinking skills-oriented learning. Additionally, the integration of Discovery Learning and Meaningful Learning provides a structured and student-centered learning process that encourages learners to construct knowledge independently while connecting concepts to real-life contexts. The resulting learning tools also support teachers in implementing systematic instruction that fosters student engagement and deeper understanding. Overall, the developed model contributes to improving instructional quality in Economics education and offers an innovative alternative for enhancing students’ cognitive abilities, particularly in critical thinking.

This study aims to analysis (1) learning strategies that student use in facing the Indonesian Academic Competency Test (TKA)  at MAN 3 Kediri, (2) learning model that teachers apply in facing the Indonesian language Academic Competency Test (TKA) at MAN 3 Kediri, (3) things that support students learning process in facing the Indonesian language Academic Competency Test (TKA) at MAN 3 Kediri. This resulting data source was obtained from a questionnaire distributed by researches to class XII students at MAN 3 Kediri. The data collection technique used was a student questionnaire or survey via a google form plate which was filled in by class XII students at MAN 3 Kediri. The data analysis technique used is qualitative descriptive analysis to explain the results of the survey obtained. The data validity technique employed is triangulation. The analysis results show that students receive learning strategies through direct instruction or by practicing the material directly through exercise questions. Additionally, the difficulty level of the questions varies, ranging from lower-level to higher-order thinking skills (HOTS). Furthermore, the teacher also prepares an appropriate teaching model to help students face the Indonesian Language TKA (National Competency Test). The result shows that the teacher applies the PAIKEM approach (active, innovative, creative, effective, and enjoyable). The supporting strategy includes practice questions that encourage students' understanding.  

Fire is an event that often occurs due to human negligence. Losses from fire include damage to goods, business delays and can even cause loss of life. For early handling of fires, a "Fire Fighting Control Design Using MQ-2 Sensor and Fuzzy Logic Based 5 Channel Flame Sensor" has been created. This tool uses the MQ-2 sensor to detect gases related to fires, such as hydrocarbon gas. A 5 channel flame sensor is used to detect flames. The predetermined fuzzy logic rules will be used to control the fire extinguisher and implemented using the Arduino Atmega 2560 microcontroller as the brain of the system. Next, the microcontroller will send a control signal to the 12V DC pump output as a water spray system to deal with fires. The test results of this system show that the tool can detect early fire hotspots and respond well to fire extinguishing according to the fuzzy rule decisions carried out by testing the tool with 30 fire spots at different distances.

Tropical forest fires pose a serious threat to ecosystem sustainability, particularly in Kalimantan, which is prone to seasonal fires. Early detection is key to prevention efforts, but conventional and satellite-based monitoring methods often face limitations, particularly in identifying small-scale hotspots obscured by forest canopies. This study aims to test the effectiveness of integrating drone technology with thermal sensors in tropical forest monitoring as an early fire detection system. The research method uses a field study design with an experimental approach. Drone flights were conducted over tropical forest areas in Kalimantan, systematically capturing thermal imagery according to a predetermined flight path. Thermal image data were analyzed to identify hotspots, then compared with satellite hotspot data (MODIS and VIIRS). Field validation was also conducted through direct temperature measurements using a portable infrared thermometer. Data analysis involved comparing detection results, accuracy testing, and measuring system sensitivity with a confusion matrix. The results showed that drones with thermal sensors were able to detect more hotspots than satellites, with a higher level of accuracy compared to field validation results. For example, in several study areas, drones successfully identified small hotspots that were not detected by satellites. This confirms that drones with thermal sensors have high sensitivity and can be used as early detection tools for tropical forest fires. In conclusion, the integration of drone technology and thermal sensors has proven effective as a monitoring system that complements satellite-based methods. Further development using big data and machine learning, as well as cross-institutional collaboration, is needed for optimal implementation on a large scale.

Tropical diseases remain a serious public health challenge in Southeast Asia, particularly malaria, which has high morbidity and mortality rates. The complexity of their spread is influenced by various factors, including climate, environment, and population, requiring a spatially-based analytical approach to understand their distribution patterns. This study aims to develop a regression-based spatial model to predict the spread of tropical diseases and identify hotspots in high-risk areas. The data used include tropical disease case reports from national health agencies, climate data (temperature, rainfall, humidity) from BMKG and WorldClim, and population data (density and mobility) from  BPS and other official sources. The analysis was conducted using a Geographic Information System GIS for spatial mapping, as well as the application of spatial regression models, namely the Spatial Lag Model SLM and Spatial Error Model SEM. The results show that the developed model is able to predict disease distribution with a high level of accuracy, demonstrated by statistical validation through AIC, and Morans I. One of the main findings is the identification of malaria hotspots with a confidence level of 93, as well as the mapping of tropical disease risk predictions covering the Southeast Asian region. These results have significant implications for public health policy, particularly in resource allocation, prevention program planning, and priority area-based interventions. Furthermore, this study recommends the integration of big data and machine learning technologies to enrich predictive models and develop more adaptive early warning systems. Thus, this research contributes to strengthening tropical disease control strategies in Southeast Asia with a comprehensive spatial data-driven approach.

Penelitian ini bertujuan untuk menganalisis pengaruh kecerdasan emosional terhadap HOTS pada siswa SMP Pesantren Cintawana. Latar belakang penelitian ini adalah rendahnya kualitas pendidikan di Indonesia, seperti yang ditunjukkan oleh laporan PISA 2022. Kecerdasan emosional, yang melibatkan kemampuan mengelola emosi dan berinteraksi dengan orang lain, dianggap sebagai salah satu faktor penting dalam mendukung HOTS. Penelitian ini menggunakan metode asosiatif dengan populasi seluruh siswa SMP Pesantren Cintawana dan sampel kelas 7A sebanyak 32 siswa. Pengumpulan data dilakukan melalui tes HOTS dan angket kecerdasan emosional. Hasil analisis regresi sederhana menunjukkan bahwa kecerdasan emosional berpengaruh signifikan terhadap HOTS dengan koefisien determinasi sebesar 25%. Temuan ini menegaskan pentingnya mengembangkan kecerdasan emosional untuk meningkatkan kemampuan berpikir tingkat tinggi siswa.

This study aims to determine the difficulties of students in solving Higher Order Thingking Skills (HOTS) problems by using the Polya method in Trigonometric comparison materials. This research is a descriptive qualitative research. The subjects of the study were 36 students in class X.1 of SMA Negeri 2 Situbondo. Data collection techniques use test questions, interviews and documentation. The test in the form of Higher Order Thingking Skills (HOTS) questions is carried out to measure students' abilities. Interviews were conducted on 6 students based on the category of ability level of test results. Data analysis was carried out using data induction and reduction theory. The test results showed that those who scored in the high-level category were 10 students (28%), the moderate-level category was 14 students (39%) and the low-level category was 12 students (33%). The conclusion of this study states that the difficulty of students in solving Higher Order Thinking Skills (HOTS) questions using the polya method, namely subjects with high-level categories, experience difficulties at the re-examination stage. Subjects with a moderate level category, experienced difficulties at the stage of implementing the plan and re-examining. Subjects with low-level categories experienced difficulties at all stages of polya, namely at the stage of understanding the problem, making a plan, implementing the plan and re-examining.

This study analyzes the "NYC TLC Trip Record" dataset for the period January 1, 2023 to January 31, 2023 to understand taxi usage patterns in New York City. The objectives to be achieved in this analysis include: (1) Identify the days and times with the highest demand for taxi services, (2) Identify the boroughs with the highest demand for taxi services. We applied univariate analysis for this analysis. The results show that the day with the highest demand occurs on Tuesday for the densest time occurs in the vulnerable time of 3 pm to 6 pm. The boroughs with the highest taxi demand are Manhattan, Queens, and Brooklyn. This analysis provides the results for NYC TLC to develop a data-driven optimization strategy. This analysis not only helps in identifying demand hotspots but also provides insights for more efficient taxi scheduling and placement. With this analysis, it is expected that more effective pick-up time and location optimization strategies can be developed, thereby improving operational efficiency and customer satisfaction in taxi services in New York City.