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This study examines the impact of human resource quality, as measured by indicators from the Human Development Index (HDI), on economic growth in Denpasar City, Bali. This study utilizes quantitative secondary data collected from the Central Statistics Agency (BPS) for the period 2013 to 2021. This data includes a new method for calculating average years of schooling, life expectancy at birth, per capita expenditure, and economic growth. This study uses panel data regression from five provinces in Denpasar City, Bali, applying classical assumption tests, hypothesis tests, and coefficients of determination. Individually, education level has a significant and negative effect on economic growth in Denpasar City, Bali. Health does not show a significant and negative effect on economic growth in Denpasar City, Bali. While economics has a significant and positive effect on economic growth in Denpasar City, Bali. All three independent variables simultaneously have a significant impact on economic growth in Denpasar City, Bali. The most influential variable is economics.

This study examines junior high school students’ digital morality (digital akhlak) through an analysis of Islamic Education (PAI) textbooks, focusing on the prevention of ghibah, slander/misinformation, and hate speech. The study is grounded in the growing intensity of adolescents’ online interactions, which heightens ethical risks such as online backbiting, the spread of unverified information (hoax), and degrading expressions that may harm social cohesion. The study aims to describe how the textbook represents values and prohibitions related to these issues, to analyze instructional presentation (narratives, religious evidence, learning activities, and assessments), and to assess the alignment of textbook content with a digital morality framework that contextualizes Islamic moral values for online environments. Using a library research design and content analysis of the PAI textbook as the primary document, the discussion is strengthened by recent Indonesian journal literature on digital literacy, Islamic communication ethics, and moral education for digital natives. The findings indicate that the textbook provides a strong basis for preventing ghibah through clear definitions, scriptural reinforcement, and affective messages about safeguarding others’ dignity; it addresses slander/misinformation primarily through operational tabayyun skills, including source and content verification and contextual checking; meanwhile, the prevention of hate speech is present implicitly through prohibitions against insulting, mocking, and prejudging, yet requires more explicit enrichment via contextual cases and ethical response strategies for students as bystanders. Overall, the textbook has substantial potential to foster students’ digital morality when supported by consistent classroom habituation and contextual pedagogy.  

This study aims to identify students' learning obstacles in the process of understanding one-variable linear equations in grade VII, develop an appropriate learning trajectory using a Realistic Mathematical Education (RME) approach, and produce an effective learning design to reduce these obstacles through generative models. The research adopts a design research methodology consisting of three main stages. The first stage, preparation for the experiment, includes a literature review and analysis of teachers’ instructional practices to develop a Hypothetical Learning Trajectory (HLT) for one-variable linear equations. The second stage, design experiment, involves testing the designed learning activities through a pilot experiment and teaching experiment. The third stage, retrospective analysis, compares actual classroom observations with the initial HLT to refine and validate the learning trajectory. The research subjects include seven grade VII students in the pilot experiment and 44 students from SMP Negeri 2 Mataram in the teaching experiment. Data collection methods include tests, observations, interviews, and documentation, with retrospective analysis used to generate a validated Local Learning Trajectory (LLT). The findings reveal several epistemological obstacles experienced by students, such as difficulties in applying fundamental arithmetic concepts (addition, subtraction, multiplication, division) within the context of linear equations. Students also struggled with concept recognition, representation, and interpretation of linear equations in various forms. The developed LLT proved effective, as students demonstrated improved understanding and were able to follow the learning sequence meaningfully. Retrospective analysis confirmed that the LLT successfully addressed and reduced students’ learning obstacles in mastering one-variable linear equations.

Universities in border areas face challenges in recruiting prospective new students due to limited access to higher education information and low levels of advanced literacy studies among high school students. Bulungan Regency, as a border area in North Kalimantan, demonstrates this condition, which has an impact on the low number of high school graduates who continue their studies at Mulawarman University, especially the Faculty of Teacher Training and Education (FKIP). This community service activity aims to build a partnership strategy between FKIP Mulawarman University and Tanjung Palas State Senior High School and Tanjung Selor State Senior High School as an effort to improve students' understanding of higher education and increase enthusiasm for new student admissions. The implementation method uses a participatory university-school partnership approach through campus socialization activities, educational career workshops, student inspiration classes, virtual campus tours, guidance counselor training, and new student registration assistance. The evaluation program was conducted using pre-test and post-test questionnaires, interviews, and documentation of student registration data. The results of the activity showed a significant increase in students' understanding of FKIP Mulawarman University, from 42% to 85% at Tanjung Palas State Senior High School and from 45% to 88% at Tanjung Selor State Senior High School. The satisfaction rate of partner schools with the program is above 90%, and there has been an increase in student interest in continuing their studies at university. The program also strengthens the role of guidance counselors as information agents for higher education and fosters a sustainable collaborative network between universities and schools. It can be concluded that the School Partnership Program is effective as a strategy to increase new student enrollment at the Faculty of Teacher Training and Education at Mulawarman University and serves as a model for university service in expanding access to higher education in border areas. This program is recommended for continuation and implementation at other schools in North Kalimantan.

Floods and landslides in Hutanabolon Village, Tukka District, Central Tapanuli Regency have disrupted access to food and health services, particularly for vulnerable groups such as children. Public kitchens, as the frontline of emergency nutrition response, face challenges in providing food that meets the specific nutritional needs of children. This study aims to evaluate the effectiveness of public kitchens at Disaster Emergency Response Posts (TDB) in meeting the nutritional needs of post-disaster children, identify supporting and inhibiting factors, and formulate recommendations for improving the public kitchen management system. The research employed a descriptive evaluative approach using survey methods, structured interviews, direct observation, 24-hour dietary recall, and anthropometric measurements (weight and height). The study subjects included 15 children aged 1–12 years and 8 public kitchen managers selected purposively. Data were analyzed descriptively by comparing nutritional intake against the Recommended Dietary Allowance (RDA) standards and analyzing kitchen management practices based on emergency nutrition guidelines. The findings revealed that children's average energy intake was only 1,140 kcal/day (below the minimum standard of 1,200–2,000 kcal/day) and protein intake was 18.7 g/day (below the standard of 20–35 g/day). A total of 33.3% of children were classified as having malnutrition to severe malnutrition based on weight-for-age indicators. Public kitchen management showed weaknesses in menu planning (100% had no child-specific menu), managers' nutritional knowledge (62.5% categorized as low), food availability (75% relied on instant aid without variation), and limited cross-sectoral coordination (50%). The effectiveness of public kitchens in meeting children's nutritional needs after disasters remains low.

The rapid development of digital technology has increased the risk of song copyright infringement, thereby requiring effective and adaptive law enforcement mechanisms. Song copyright, as part of intellectual property rights, is protected under Law Number 28 of 2014 on Copyright, with certain infringements classified as complaint-based criminal offenses. This study aims to analyze the handling of criminal cases of song copyright infringement by Civil Servant Investigators at the Regional Office of the Ministry of Law in West Java and to evaluate the effectiveness of their enforcement practices. The research employs a normative-empirical method with a descriptive-analytical approach, combining statutory analysis with empirical data obtained through interviews and field observations. The findings reveal that case handling is conducted through structured stages, including complaint submission, preliminary examination, mediation, and follow-up actions. Mediation constitutes the primary mechanism for dispute resolution, reflecting the application of the ultimum remedium principle and a restorative justice approach. Although the procedural framework has been implemented in accordance with applicable regulations, enforcement effectiveness remains constrained by limited human resources, budgetary limitations, insufficient technical capacity, low public legal awareness, and inadequate inter-agency coordination. These results underscore the importance of strengthening institutional capacity and enhancing enforcement effectiveness to ensure sustainable protection of song copyright.

Football in Indonesia is not merely a sport but a social phenomenon that triggers massive public emotional engagement. Every result of the Indonesian National Team, particularly in prestigious events such as the FIFA World Cup Qualifiers, often generates waves of opinion in digital spaces filled with criticism, support, and disappointment. The failure of the Indonesian National Team in the 2026 FIFA World Cup Qualifiers has become an important momentum to systematically understand public perception. The purpose of this study is to identify the distribution of public sentiment and to reveal the main issues most frequently discussed through keyword visualization, thereby providing an overview of societal reactions. This research utilizes 971 comments from the TikTok platform as the primary dataset, collected through a crawling process and processed using text mining stages before being classified with a sentiment analysis method. The findings indicate a sentiment distribution dominated by Neutral at 63.67%, Negative at 32.36%, and Positive at 3.97%. The word cloud visualization highlights dominant keywords such as “Pecat” (Dismiss), “Evaluasi” (Evaluation), and “PSSI” (Indonesian Football Association), reflecting public criticism of managerial aspects, although positive words such as “Semangat” (Spirit) and “Dukung” (Support) also appear, emphasizing supporter loyalty. These results contribute to an empirical understanding of the issues most highlighted by the public and the distribution of collective emotions, which can serve as a basis for PSSI and stakeholders in formulating communication strategies, policy evaluations, and improvements to the national football management system.

Criminal responsibility is constructed through the elements of homicide offences, the assessment of mens rea, accomplice liability, and sentencing rationality grounded in individual culpability. In judicial practice, however, cases involving the killing of women are frequently framed at the outset through the labels of “honour” or “intimate relationship,” leading honour killing and intimate partner femicide to be treated as interchangeable categories. This practice shifts the assessment of intent toward the perpetrator’s narrated motive and narrows accountability to the last physical actor. This research aims to formulate, first, legal criteria and evidentiary indicators for distinguishing the two categories through a staged judicial classification test, and second, to assess the implications of such classification for the construction of intent, the attribution of responsibility to non-executing actors, and sentencing rationality through disciplined reason-giving. The study employs a normative legal method with a conceptual approach, based on library research of primary and secondary legal materials. The findings demonstrate that the core deficiency lies in the absence of an operational classification device, allowing honour narratives to displace structured mens rea analysis and to obscure the causal contributions of non-executors. The article proposes working definitions and a stepwise indicator-based test—focusing on the presence of determinative social pressure or sanctioning, provable role allocation within perpetrator networks, and prior threats framed in terms of honour restoration—and links these indicators to concrete doctrinal consequences for intent, accomplice liability, and sentencing. Through this framework, judicial reasoning is redirected from label-driven interpretation toward accountability, while restraining the use of honour as a mitigating rationale and preventing femicide patterns from being concealed by reputational narratives.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

This study was motivated by the low levels of student motivation and cognitive learning outcomes in the Islamic Education (PAI) subject at SMK Pasundan 1 and SMK Bunga Persada Cianjur. The phenomenon was identified through preliminary observations showing that 45% of students scored below the Minimum Mastery Criteria (KKM) and demonstrated low engagement during the learning process. The school’s efforts to improve student motivation and learning outcomes have not been optimal, as teaching methods and media are still largely limited to conventional approaches. Therefore, innovation in learning through the use of technology-based interactive multimedia such as Google Classroom, YouTube, and Quizizz is needed to create more engaging and effective learning experiences. The objectives of this study were to identify: (1) the implementation of Google Classroom, YouTube, and Quizizz multimedia in PAI learning; (2) students’ learning motivation; (3) students’ cognitive learning outcomes; (4) the influence of multimedia implementation on students’ learning motivation; (5) the influence of multimedia implementation on students’ cognitive learning outcomes; and (6-8) the qualitative findings that expand and deepen the quantitative results regarding multimedia implementation, learning motivation, and cognitive learning outcomes at SMK Pasundan 1 and SMK Bunga Persada Cianjur. This research employed a Mixed Methods approach using a sequential explanatory design, combining quantitative and qualitative methods in sequence. Data were collected through questionnaires, interviews, observations, and document analysis.

This study aims to evaluate the effectiveness of the Structural Analytic Synthetic (SAS) method in enhancing the early reading skills of first-grade students in Catholic Religious Education at SD YPPK Yohanes Paulus II Obaa, Mappi Regency, South Papua Province. The study employed a Classroom Action Research approach using a cyclical model comprising the stages of planning, implementation, observation, and reflection, conducted over two cycles. The research subjects consisted of 25 students, and data were collected through reading tests, classroom observations, and documentation. The results indicated a significant improvement in students’ early reading skills, with learning mastery increasing from 61% in the first cycle to 100% in the second cycle. This success was associated with the implementation of the SAS method through structured learning stages, progressing from sentences to words, syllables, and letters, accompanied by the use of varied media and intensive teacher guidance. In addition to improving reading skills, the SAS method was also found to enhance students’ interest, participation, and learning motivation. Therefore, the SAS method is recommended as an effective strategy for teaching early reading to young elementary school students, particularly within the context of Catholic Religious Education.

The assessment of students’ academic performance in higher education is generally still dominated by conventional numerical approaches, which are less capable of representing qualitative and subjective variables such as classroom activeness and student participation. These approaches often result in evaluations that are not holistic and do not fully reflect students’ overall academic achievements. Therefore, this study aims to analyze the concept of fuzzy logic as a support tool for assessing students’ academic performance in higher education, with a case study of students at Universitas Asahan. The research method employs a descriptive qualitative and quantitative approach by applying Mamdani fuzzy logic. The input variables consist of exam scores, assignment scores, and classroom activeness, while the system output is the category of academic performance, namely sufficient, good, and very good. The sample data consist of ten active undergraduate students from Universitas Asahan. The data processing stages include fuzzification, the construction of fuzzy rules (rule base), fuzzy inference, and defuzzification using the centroid method. The results indicate that fuzzy logic is able to integrate quantitative and qualitative variables and accommodate uncertainty in academic assessment. The resulting evaluation is more proportional and realistic compared to conventional assessment methods based solely on average scores. Therefore, fuzzy logic can be considered an effective and flexible alternative approach to support student academic performance assessment systems in higher education.

This study examines the implementation of Indonesian Language learning in higher education as a foundation for developing students’ academic literacy within an Outcome Based Education (OBE) framework. The research is motivated by serious concerns regarding students’ low academic writing ability, weak critical reading skills, and inconsistent use of academic language, which hinder the formation of academic culture at universities. The objective of this study is to describe and interpret the learning process, challenges, and outcomes of Indonesian Language courses in fostering academic literacy. This research employed a qualitative descriptive approach conducted intensively over a three-week period. Data were collected through classroom observations, in depth interviews with lecturers and students, and document analysis of lesson plans, teaching materials, and students’ academic assignments. The findings reveal that although the course design conceptually aligns with OBE principles, its classroom implementation has not fully emphasized reflective processes, critical engagement, and consistent academic language practice. Learning activities tend to focus on task completion rather than on the development of academic thinking processes. The study implies that Indonesian Language learning should be strengthened through reflective, contextual, and process oriented strategies to enhance students’ academic literacy and academic identity. These findings contribute theoretically to studies on academic literacy and practically to the improvement of Indonesian Language instruction in higher education.

This research aims to determine the growth of Rhizophora apiculata mangroves based on height, number of leaves and stem diameter in mangrove nurseries in the Segara Ayu Group, Kedonganan, Bali. The research was conducted for six months, from March to August 2025, using quantitative descriptive methods. Observations were made on 40 plants spread across four demonstration plots, with data collected every two weeks. The environmental parameters measured include temperature and salinity. The results showed that the absolute growth in plant height ranged between 27–31 cm, with relative growth of 27.4–33.7%. The average number of leaves reaches 11 to 18 pieces, while the stem diameter ranges from 1.7–2.7 cm. Environmental conditions at the research location are classified as supporting optimal growth, with salinity of 24–28 ppt and temperature of 28–31°C, In general, Rhizophora apiculata plants show good growth during the nursery period, which indicates that the Segara Ayu location has ecological conditions that are suitable for mangrove rehabilitation activities.

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.

Learning concentration is an important factor in supporting students’ academic success, particularly in Biology study programs that require high levels of accuracy and analytical skills. Learning concentration is influenced by various factors, including sleep quality and dietary patterns. This study aimed to analyze the relationship between sleep quality and dietary patterns and the level of learning concentration among Biology students of class T.BIO1/2022 at Universitas Islam Negeri Sumatera Utara. This study employed an analytic observational approach with a cross sectional design. The research sample consisted of 23 students selected using a total sampling technique. The research instruments included questionnaires on sleep quality, dietary patterns, and learning concentration. Data analysis was conducted descriptively and using cross tabulation. The results showed that students with good sleep quality and regular dietary patterns tended to have higher levels of learning concentration compared to those with poor sleep quality and irregular dietary patterns. Therefore, sleep quality and dietary patterns are important factors that need to be considered to support students’ learning concentration.  

Arrhythmias are generally classified into two groups: disorders of impulse formation and disorders of impulse conduction. Cardiac arrhythmias can also be categorized into three main types: supraventricular arrhythmias, ventricular arrhythmias, and bradyarrhythmias. One of the most commonly encountered arrhythmias in clinical practice is Atrial fibrillation. This study employed a case study method using a nursing process approach. The subjects consisted of two patients: Mrs. S, a 74-year-old female, and Mr. R, a 44-year-old male. The nursing intervention administered was antiarrhythmic therapy using intravenous digoxin. Evaluation was conducted by monitoring the patients’ heart rate and cardiac rhythm using an electrocardiogram (ECG) monitor. The results of the case studies in both patients showed that digoxin therapy produced a positive therapeutic response, as evidenced by a gradual reduction in heart rate. However, ECG monitoring revealed no significant changes in cardiac rhythm. These findings suggest that digoxin is effective for rate control, although it does not restore sinus rhythm.

Hospitals often face difficulties in determining patient treatment priorities due to limited medical resources and the uncertainty of patient conditions. Conventional prioritization methods tend to rely on subjective judgment, which can lead to inconsistent decisions and delays in treatment. This study aims to apply fuzzy logic in a decision support system to determine patient priority levels more objectively and systematically. The proposed method utilizes a fuzzy inference system that processes several criteria, including the severity of symptoms, vital signs, patient age, and waiting time. These criteria are represented as fuzzy sets and evaluated using a set of inference rules to generate priority classifications. The results indicate that the fuzzy logic–based system is able to classify patient priorities more consistently and transparently compared to manual assessment. The system provides clear priority categories that can support medical staff in making faster and more accurate decisions. The findings imply that the implementation of fuzzy logic in hospital decision support systems can improve the quality of healthcare services, enhance fairness in patient handling, and optimize the allocation of medical resources, particularly in emergency and high-demand situations.

The study titled “Designing a Web-Based E-Module for Empowering Tenth-Grade Students’ Writing Skills in Descriptive Text” aims to develop a digital learning medium to improve students’ descriptive writing abilities. The research applies a Design and Development (D&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation, supported by a descriptive quantitative method. The study addresses limitations of traditional, teacher-centered instruction that relies heavily on printed materials by integrating technology into the learning process. The research begins with an analysis of existing teaching practices and learning resources for descriptive text writing. Based on this analysis, a web-based e-module is designed to provide a more interactive and engaging learning experience. The module includes structured materials such as definitions, purposes, text structures, language features, examples, and practice exercises. The e-module is then implemented in a tenth-grade classroom setting, followed by an evaluation of its effectiveness using quantitative data. The results indicate that the web-based e-module effectively improves students’ descriptive writing skills. Interactive features, including multimedia content, self-paced activities, and immediate feedback, enhance students’ motivation and active participation. Teachers and students report positive perceptions regarding the practicality, accessibility, and usefulness of the e-module. Pre-test and post-test results also show a clear improvement in students’ writing performance. Overall, the study concludes that web-based e-modules are a promising instructional medium for enhancing writing skills and supporting student-centered, technology-integrated English language learning.

This study examines the effectiveness of the THIEVES strategy in enhancing students’ critical reading comprehension in an English as a Foreign Language (EFL) context, particularly at the senior high school level. Employing a quasi-experimental research design, the study involved two groups: an experimental group taught using the THIEVES strategy and a control group that received conventional reading instruction commonly applied in the classroom. The participants consisted of tenth-grade students of SMA Muhammadiyah 8 Gresik who were selected to represent learners with similar academic backgrounds. Data were collected through pre-tests and post-tests that were specifically designed to measure students’ critical reading comprehension skills, including their ability to identify main ideas, infer meaning, and evaluate textual information. The findings revealed that students in the experimental group showed significantly higher improvement in post-test scores compared to those in the control group. Statistical analysis using paired-sample and independent-sample t-tests confirmed that the observed improvement was statistically significant and not due to chance. These results indicate that the THIEVES strategy effectively promotes active engagement, critical analysis, and deeper comprehension of reading texts. Therefore, the strategy is strongly recommended as an effective instructional approach for improving students’ critical reading skills in EFL classrooms.