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Higher-order thinking skills (HOTS) are a requirement in 21st-century education, yet assessments in schools are still primarily based on lower-order thinking (LOTS) cognitive skills. This study aims to examine the concept of the Revised Bloom's Taxonomy, the characteristics of instruments based on Higher-Order Thinking Skills (HOTS), and their implementation in instrument development. This study used a qualitative approach with a heritage study method. Data were obtained from books, scientific journals, and educational policy documents related to HOTS-based assessment. Analysis was conducted through data reduction, categorization, and drawing conclusions based on their alignment with the Revised Bloom's Taxonomy framework. The results of this study indicate that cognitive levels C4-C6 in the Revised Bloom's Taxonomy serve as the primary reference in developing HOTS instruments, which can assist in developing HOTS-based instruments to measure students' higher-order thinking skills.

This study was conducted to analyze the relationship between students’ critical thinking skills and mathematical problem-solving abilities through a literature review approach. The study is based on the importance of mastering higher-order thinking skills in the mathematics learning process, particularly when students are faced with complex problems related to real-life situations. The method used in this research was a literature review by examining various relevant scientific journals and academic books published between 2021 and 2026. The data analysis process was carried out through stages of identification, classification, evaluation, and synthesis of the collected sources. The findings revealed a significant and positive relationship between critical thinking skills and students’ mathematical problem-solving abilities. Critical thinking skills play an important role in helping students understand problems, process and analyze information, select appropriate solution strategies, and systematically review the results obtained. Students with strong critical thinking skills generally demonstrate more optimal mathematical problem-solving abilities. In addition, the implementation of learning models such as Problem-Based Learning and contextual approaches has been considered effective in improving both abilities. Therefore, critical thinking skills are regarded as an essential aspect that needs to be developed in mathematics learning in order to enhance students’ mathematical problem-solving abilities.

Tuberculosis (TBC) in children remains a serious public health problem in Indonesia, with the 0–14 age group accounting for 16.2% of total notified cases in 2024. The uneven distribution of cases across provinces is thought to be influenced by various social determinants, yet spatial studies specifically on childhood TBC at the national level remain scarce. This study aimed to analyze the spatial pattern of childhood tuberculosis cases and social determinants in Indonesia in 2024 using a spatial ecological design across 38 provinces. Analysis included descriptive statistics, thematic mapping using QGIS, Moran's I test, and Local Indicator of Spatial Association (LISA) with queen contiguity weighting matrix. Results showed a strong positive spatial autocorrelation with a Moran's I value of 0.612. High-high clusters were identified in DKI Jakarta, Central Java, Banten, and West Java, which simultaneously recorded high population density and low primary healthcare ratios. Territory-based interventions should be prioritized in these hotspot provinces.

Tuberculosis (TBC) in children remains a serious public health problem in Indonesia, with the 0–14 age group accounting for 16.2% of total notified cases in 2024. The uneven distribution of cases across provinces is thought to be influenced by various social determinants, yet spatial studies specifically on childhood TBC at the national level remain scarce. This study aimed to analyze the spatial pattern of childhood tuberculosis cases and social determinants in Indonesia in 2024 using a spatial ecological design across 38 provinces. Analysis included descriptive statistics, thematic mapping using QGIS, Moran's I test, and Local Indicator of Spatial Association (LISA) with queen contiguity weighting matrix. Results showed a strong positive spatial autocorrelation with a Moran's I value of 0.612. High-high clusters were identified in DKI Jakarta, Central Java, Banten, and West Java, which simultaneously recorded high population density and low primary healthcare ratios. Territory-based interventions should be prioritized in these hotspot provinces.

This study investigates the performance of Internet of Things (IoT)-based monitoring systems using a mobile hotspot and IoT sensors for temperature and humidity data transmission. The research is based on the IoT concept, which enables electronic devices to communicate and exchange data through internet networks without direct human intervention. System performance was evaluated using standard Quality of Service (QoS) parameters, including throughput, packet loss, delay, and jitter. The experimental setup utilized a NodeMCU ESP32 microcontroller and a DHT22 sensor, with measurements conducted at various transmission distances through wireless communication media. The objective was to determine the reliability of hotspot connectivity and sensor communication in supporting IoT applications. The results indicate that the optimal performance was achieved at a distance of 20 meters using a 40-lambda variation. Furthermore, the communication signal between the ESP32 device and the mobile hotspot remained detectable up to a maximum distance of 32 meters. These findings demonstrate the effectiveness of the proposed IoT system for environmental monitoring applications within specific transmission ranges.

This study aims to analyze the role and variation of test instruments in measuring students’ cognitive domain in the learning evaluation process. Using a literature review method, this study examines various scientific sources related to educational evaluation and cognitive assessment. The findings indicate that the cognitive domain includes thinking skills ranging from lower-order thinking skills (C1: Remembering, C2: Understanding) to higher-order thinking skills (C3: Applying, C4: Analyzing, C5: Evaluating, and C6: Creating) based on Bloom’s Taxonomy. Test instruments such as multiple-choice, essay, true-false, matching, and oral tests possess different characteristics, advantages, and limitations for assessing specific cognitive levels. Objective tests are considered effective for measuring lower-order thinking skills because they offer high reliability and objectivity, whereas essay tests are more appropriate for assessing higher-order thinking skills (HOTS). In addition, the quality of test instruments is influenced by validity, reliability, objectivity, difficulty level, and discrimination index. Therefore, the appropriate and varied use of test instruments is essential to obtain comprehensive and accurate measurements of students’ cognitive abilities and to support effective learning evaluation and instructional decision-making processes.

Desa Motu is an area that experiences limited internet access due to the unavailability of conventional ISP services and weak cellular signal coverage. This study aims to develop a community-based RT/RW Net network system to provide internet access by utilizing Starlink as the main ISP and distributing connectivity through networking devices such as MikroTik routers, access points, switches, and fiber optic media. Network testing was conducted by measuring download and upload speeds using network testing ap-plications, evaluating connection stability through latency (ping) measurements, and assessing signal coverage at several user locations. The results show that the implemented RT/RW Net network is able to provide a stable internet connection with consistent speeds at different testing times, as well as optimal signal distribution across multiple measurement points. The authentication system using vouchers, PPPoE, hotspot login, and MAC Binding functions properly, and the free educational access feature also operates effectively. These findings indicate that the RT/RW Net–based community network model can serve as an affordable and sustainable solution for expanding internet access in rural areas.

In the education system, learning evaluation plays a fundamental role in measuring students' academic competency achievement. This study was designed to comprehensively examine the importance of high-quality learning instruments and the strategic role of assessment frameworks in ensuring the instrument's alignment with the formulated learning objectives. A qualitative, descriptive approach based on a literature review was used. The study's findings indicate that assessment frameworks serve as a framework or blueprint capable of validly and reliably mapping competencies, material coverage, and assessment weighting. Systematic implementation of assessment frameworks has been proven to increase the transparency and accountability of evaluations, while also supporting educators in integrating Islamic values ​​into the context of Islamic Religious Education (PAI). However, its implementation still faces obstacles, including limited teacher competency in developing Higher Order Thinking Skills (HOTS)-based questions, as well as constraints related to time and resource availability.

Abstract: Lesson Study is a collaborative process where teachers identify learning problems, plan improvements, implement instruction with one teacher teaching and others observing, evaluate, revise, re-teach, re-evaluate, and disseminate results. This method serves as a reference for HOTS-based classroom instruction aimed at enhancing learning motivation, student achievement, and critical thinking. The community service was conducted at the Tadris Social Sciences Study Program, FTIK, UIN Sayyid Ali Rahmatullah, and MI Podorejo, Sumber Gempol, Tulungagung, through planning, implementation, and reflection stages. This study employed a descriptive qualitative method with a sequential design covering preparation, micro-teaching training, school mentoring, Lesson Study implementation, and comprehensive final evaluation. Observations from this Lesson Study revealed that students demonstrated critical thinking and active participation in learning. This activity is expected to foster synergy among lecturers, teachers, and pre-service teachers in designing, implementing, and evaluating teaching-learning activities, making instructional methods more creative, innovative, and adaptive to technological advancements.

The Low Voltage Main Distribution Panel (LVMDP) is a critical component in industrial power distribution systems, functioning to regulate, control, and distribute electrical energy to various production equipment. During operation, LVMDP panels often operate under high electrical loads, which may lead to temperature increases in their components. Undetected temperature rise can result in performance degradation, equipment failure, and even fire hazards. Therefore, an effective monitoring method is required to detect the condition of electrical components at an early stage. This study aims to analyze the temperature difference (ΔT) of LVMDP components using the Infrared Thermography method as part of predictive maintenance. The research employs a quantitative descriptive approach with data collected through direct observation from July 1 to July 31 at PT. Dongjin Indonesia. The data consist of hotspot and ambient temperatures measured from several panel components, which are then analyzed to calculate the temperature difference (ΔT) as an indicator of component operating conditions. The results indicate that the highest temperature difference is 26.5 °C in the capacitor bank, while the lowest is 4 °C in other components. All ΔT values are below the threshold limit of 50 °C, indicating that the LVMDP components are in safe operating conditions and do not require corrective actions. Thus, Infrared Thermography is proven to be an effective method for early detection of component conditions and can enhance the reliability and safety of industrial power distribution systems.

History learning plays a strategic role in developing students’ critical, analytical, and reflective thinking skills. However, instructional practices that still emphasize memorization of facts often fail to foster higher-order thinking abilities. This article aims to examine the implementation of Higher Order Thinking Skills (HOTS)-based history learning as an effort to support the achievement of Sustainable Development Goal (SDG) 4, namely quality education. The HOTS approach in history learning emphasizes students’ abilities to analyze, evaluate, and create through activities such as interpreting historical sources, solving contextual problems, and engaging in critical discussions of past events. The method used in this study is a literature review by analyzing various sources related to HOTS-based learning strategies and their implementation in history education. The findings indicate that the application of HOTS enhances student engagement, deepens conceptual understanding, and fosters historical awareness relevant to contemporary life. In addition, HOTS-based learning encourages students to develop reflective thinking and make better-informed decisions. The implementation of HOTS in history learning aligns with the principles of SDG 4, which emphasize inclusive, equitable, and quality education. Therefore, integrating HOTS into history instruction not only improves the quality of the learning process but also contributes to the development of a generation that is critical, creative, and adaptive in facing global challenges.

This study investigates the implementation of history learning based on Higher Order Thinking Skills (HOTS) in developing students' analytical history skills. This research is motivated by the dominance of conventional teaching focused on lectures that emphasize memorization of facts rather than critical and analytical thinking. The study aims to describe how HOTS-based strategies are implemented in history classes and to analyze their impact on students' analytical skills. This research uses a qualitative descriptive methodology. Data were collected through classroom observations, interviews, and documentation, then analyzed using data reduction, data display, and conclusion drawing techniques. The findings show that before the implementation of HOTS, students' responses were mostly descriptive and limited to recalling factual information. After the implementation of HOTS-based learning through the use of analytical questions, historical case studies, source analysis, and structured group discussions, students showed significant improvement in explaining cause-and-effect relationships, evaluating historical evidence, and building logical arguments. Students became more active in discussions and demonstrated a deeper conceptual understanding than mere memorization. However, several challenges were identified, including students' limited experience in critical thinking, time constraints, and the need for teachers to be better prepared in designing HOTS-oriented learning instruments. Overall, this study concludes that HOTS-based history learning effectively improves students' analytical history skills and shifts the learning orientation from lower-order thinking to higher cognitive engagement. This approach pedagogically contributes to fostering a critical, reflective, and contextual understanding of history that is relevant to the demands of 21st-century education.

Malaria remains a significant public health problem in several endemic areas in Indonesia. Understanding temporal and epidemiological changes at the local level is crucial for effective malaria control and elimination. This study aims to analyze changes in malaria epidemiological patterns based on routine surveillance data at the Yaro Community Health Center, Indonesia, during the period 2023–2025. This is a retrospective, longitudinal descriptive study using routine malaria surveillance data. Variables analyzed include temporal trends, Plasmodium species distribution, demographic characteristics, spatial distribution, and case-finding strategies. Data were analyzed descriptively using frequencies and proportions. A total of 9,677 malaria examinations were recorded, with 546 confirmed cases. Malaria cases showed a significant increase in 2025. Plasmodium vivax was the most dominant species, with a steadily increasing proportion of mixed infections. Adults aged 15–64 years and men were the most affected groups. Spatial analysis showed regional heterogeneity with persistent hotspots at the village level. Passive case detection remains the primary method, while active surveillance is increasingly contributing to case identification. Malaria epidemiology in the Yaro region exhibits dynamic temporal, demographic, and spatial patterns. Strengthening integrated surveillance and targeted interventions is essential to address persistent transmission and support malaria elimination efforts.

The criterion for students who have been able to think critically is when they can think systematically, besides having awareness in thinking, then they can see the difference between mistakes and truths. The purpose of this research is to measure the extent of students' ability to think critically on the completion of Higher Order Thinking Skill (HOTS) questions, especially in the subject of mathematics and social arithmetic material for grade VII students. This research is classified as qualitative descriptive research. The subjects involved were 6 students in grade VII D SMPN 3 Ngawi. The method used is qualitative descriptive with data analysis techniques using models from Miles & Huberman. Meanwhile, at the time of data collection, the instrument was in the form of 2 HOTS questions that were in accordance with the research subject. In data collection using tests and interviews, tests are used to measure cognitive competence while interviews are used as a follow-up to explore in depth related to students' answers. Based on a series of research processes, it can be proven that the students studied are divided into 3 categories of ability, namely low, medium, and high.

The increasing integration of internet technology in educational institutions requires structured network governance to ensure that digital resources support academic activities effectively. Unrestricted access to online platforms often leads to non-academic usage such as online gaming and social media engagement during instructional hours, which may reduce learning concentration and degrade network performance. This research develops and evaluates a network access control simulation using a MikroTik RouterBoard RB951Ui-2HnD device. The system applies firewall filtering mechanisms, hotspot-based authentication, and bandwidth allocation strategies through Simple Queue configuration. Network segmentation is implemented to differentiate teacher and student access privileges. The study adopts a Research and Development (R&D) approach to design, configure, test, and evaluate the proposed system. Testing results indicate that the firewall configuration successfully restricts access to selected online games (Mobile Legends, Clash of Clans, Roblox) and social media platforms (YouTube, TikTok, Shopee, Instagram, Telegram). Furthermore, bandwidth management demonstrates effective traffic prioritization, ensuring more stable allocation for teacher accounts in accordance with configured maximum limits. The findings confirm that structured firewall and bandwidth policies can improve network discipline, enhance performance stability, and support a controlled digital learning environment in schools.

This research is motivated by the problem of uneven bandwidth distribution in hotspot internet services at Oey Alycia Resto & Cafe, which negatively affects connection quality for users. The purpose of this study is to design and implement a bandwidth limitation-based hotspot internet system by applying a Fair Usage Policy (FUP) using Mikrotik devices, in order to achieve fair and efficient internet access distribution. The research method includes network requirement analysis, network topology design, Mikrotik RouterOS configuration, and system performance testing through direct observation and user questionnaires. The system implementation involves hotspot user authentication, per-user bandwidth allocation, and automatic speed reduction when data usage exceeds the predefined FUP threshold. The results show that the implemented system effectively limits excessive bandwidth usage by individual users, improves network stability, and ensures equitable internet access for all hotspot users. Furthermore, questionnaire results indicate positive user responses regarding improved internet service quality after the application of FUP. This research implies that the proposed system enhances the effectiveness of hotspot bandwidth management and can serve as a practical solution for public network administrators in optimizing bandwidth usage in a fair and controlled manner.

Male infertility represents a major global health concern, with oxidative stress playing a central role in the deterioration of sperm quality. In recent years, growing attention has been directed toward herbal medicine as a potential alternative or complementary therapy due to its antioxidant and multi-target properties. However, a comprehensive long-term overview of the global research landscape in this field remains limited. A bibliometric and visualized analysis was conducted using publications indexed in the Scopus database from 2005 to 2025. Eligible peer-reviewed articles were retrieved following PRISMA guidelines. Bibliometric indicators were analyzed using Biblioshiny (R-Bibliometrix) to assess publication trends, leading contributors, and thematic evolution, while VOSviewer was employed to visualize international collaboration networks, co-citation patterns, and keyword co-occurrence clusters. A total of 562 articles were included, revealing a strong upward trend in scientific output, particularly after 2016, with an annual growth rate of 15.78% and a peak in 2025. Iran, China, and Nigeria emerged as the most productive countries, while the Faculty of Veterinary Medicine and several universities in Africa, the Middle East, and Asia were identified as leading institutions. Keyword analysis highlighted three dominant research fronts: semen quality assessment, testicular histopathology, and oxidative stress–related molecular mechanisms. The collaboration network indicated increasing global and South–South research synergy. The field of herbal medicine for male infertility has evolved into a mature and multidisciplinary research domain, increasingly grounded in mechanistic and experimental evidence. These findings provide a strategic overview of research hotspots and emerging trends, offering valuable guidance for future experimental and clinical investigations.

This study addresses the problem of how the implementation of HOTS-based Android gamification influences the higher-order thinking skills of students with ADHD, a group that often faces challenges in traditional learning environments. A quantitative experimental research design was applied, involving 26 students with ADHD from four special needs schools (SLBs) in West Kalimantan. The intervention included HOTS-oriented Android gamified learning, and students' performance was measured using pre-tests and post-tests based on HOTS-level questions. The average pre-test score was 23.72, while the post-test score increased to 53.21. A paired sample t-test showed a significant improvement (t = 8.688 > t_table = 1.708, at a 5% significance level). However, only 57.69% of students met the minimum mastery criteria (KKM = 67), indicating that 15 out of 26 students achieved the expected learning standard. The implementation of HOTS-based Android gamification significantly improved the higher-order thinking skills of students with ADHD. Nonetheless, the overall results, based on average scores and classical completeness, indicate that many students still did not reach the expected level of mastery. Further enhancements in instructional design may be necessary to optimize outcomes for this group of learners.

This study aims to develop a Student Worksheet (LKPD) on Chemical Bonding assisted by Augmented Reality (AR) based on deep learning and to examine its feasibility, practicality, and effectiveness in improving learning activities and higher-order thinking skills (HOTS) of high school students. The research employed a 4D development model (define, design, develop, and disseminate) using a pretest posttest control group design involving 11th grade students. Research instruments included expert validation sheets, learning activity questionnaires, and HOTS test instruments. Data were analyzed using descriptive and inferential statistical methods. The results indicated that the AR-based LKPD met very feasible and practical criteria based on expert judgment and student responses. Furthermore, there was a statistically significant difference between the experimental and control groups in learning activities and HOTS achievement (p = 0.005). The increase in HOTS scores in the experimental group was categorized as moderate, indicating meaningful learning gains. These findings demonstrate that the AR-assisted Chemical Bonding LKPD is effective as an innovative learning medium for supporting students’ understanding of abstract chemistry concepts and fostering higher-order thinking skills.

This study was conducted to review the quality of test items in Business Economics and General Administration subjects using a classical analysis approach. The assessment process included examining validity, reliability, difficulty level, the ability of questions to differentiate student abilities, and the accuracy of distractors. The research approach used was descriptive quantitative, with 32 students from grades XI and XII majoring in Accounting as subjects and 50 multiple-choice questions as instruments. The main focus of this study was to ensure that the evaluation tools used were truly capable of describing students' competency achievements. Data analysis was conducted through observation results and student responses on Google Forms, which were then processed using the Anates Version 4.0 application. The results of the analysis showed that most of the questions had high validity and reliability, good discrimination power, and a moderate level of difficulty. However, the overall quality of the distractors was not good enough, and there were no questions in the difficult category. Overall, the quality of the questions in this subject can be categorized as good and suitable for evaluating the learning of vocational high school students in grades XI and XII.