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This study aimed to improve students’ speaking skills through animation-based learning in a first-grade EFL classroom at SMP Darul Amin. The study employed Classroom Action Research (CAR) consisting of two cycles, with each cycle including planning, action, observation, and reflection stages. The participants were 30 first-grade junior high school students. The instruments used in this study were observation sheets, speaking performance tests, and documentation. The findings revealed that animation-based learning successfully improved students’ speaking skills, classroom participation, confidence, and motivation during the learning process. The students’ average speaking score increased from 48.13 in the pre-action stage to 76.53 in Cycle I and further improved to 87.56 in Cycle II. In addition, the percentage of students achieving the Minimum Mastery Criterion (KKM) increased from 10% in the pre-action stage to 90% in Cycle II. Therefore, animation-based learning can be considered an effective learning media to improve students’ speaking skills in EFL classrooms.

Kegiatan pengabdian ini bertujuan meningkatkan kemampuan bahasa Inggris akademik mahasiswa melalui pelatihan TOEFL di Akademi Kesehatan Universitas 17 Agustus 1945 Semarang. Permasalahan utama adalah rendahnya pemahaman mahasiswa terhadap struktur TOEFL dan strategi pengerjaan soal. Metode yang digunakan meliputi tahap persiapan, pelaksanaan, dan evaluasi dengan pendekatan Communicative Language Teaching (CLT). Sebanyak 54 peserta mengikuti pelatihan yang mencakup listening, structure, dan reading serta evaluasi melalui pre-test dan post-test. Hasil menunjukkan peningkatan signifikan dengan rata-rata skor meningkat dari 457,26 menjadi 527,74. Tingkat kelulusan meningkat dari 66,7% menjadi 88,9%, dan peserta remedial mencapai kelulusan 100%. Hal ini menunjukkan bahwa pelatihan TOEFL berbasis praktik efektif dalam meningkatkan kompetensi bahasa Inggris mahasiswa.

This study aimed to examine: (1) the effect of Scout coaching on students’ character development; (2) the effect of SISPALA coaching on students’ character development; and (3) the simultaneous effect of Scout and SISPALA coaching on students’ character development at Darussalam Pannyangkalang Islamic Senior High School, Gowa Regency. This research employed a descriptive correlational quantitative approach with a cross-sectional design. The population consisted of all students actively participating in Scout and SISPALA activities. Using total sampling, 24 students were selected as respondents. Data were collected through questionnaires and documentation and analyzed using simple and multiple linear regression with SPSS. The findings revealed that Scout coaching had a positive and significant effect on students’ character development (t = 4.083, p = 0.000 < 0.05). SISPALA coaching also had a positive and significant effect (t = 2.888, p = 0.009 < 0.05). Simultaneously, Scout and SISPALA coaching significantly affected students’ character development (F = 11.911, p = 0.000 < 0.05). The coefficient of determination (R² = 0.531) indicated that 53.1% of the variance in character development was explained by Scout and SISPALA coaching.

Increased caffeine intake is commonly used by students to cope with academic demands, especially during examinations and the completion of final projects. Excessive caffeine consumption may affected sleep quality and potentially influence nutritional status. This study aimed to determine the correlation between caffeine intake, sleep disturbances, and nutritional status among final – year unsergarduated students at Dr. Soekardjo University. This study used quantitative approach with an observational analytic and cross-sectinal design. A total of 108 students participated in the study. Data were collected using questionnaires and analyzed using the Spearman Rank correlations test. The findings indicated that the most of respondents with low caffeine intake experienced mild sleep disturbances, totaling 56 respondents (80%). Meanwhile, respondents with moderate and high caffeine intake mostly experienced moderated sleep disturbances, with 13 respondents (61.9%) and 9 respondents (52.9%), respectively. The results showed a significant correlation between caffeine intake and sleep disturbances (p-value=0.000). In all categories of caffeine intake, most respondents had normal nutritional status. However, no significant relationship was found between caffeine intake and nutritional status (p-value=0.351). In conclusion, caffeine intake was associated with sleep disturbances but not with nutritional status among final-year undergraduate students.

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

Antimicrobial resistance is a persistent threat to hospital care, particularly when empirical therapy relies on broad-spectrum antibiotics without continuous evaluation of local use and susceptibility patterns. This literature review aimed to synthesize evidence from four Indonesian hospital-based studies regarding antibiotic utilization, rationality assessment, and bacterial resistance profiles. A structured narrative review was conducted using four selected articles provided by the author. Data were extracted for study design, setting, population, antibiotic evaluation method, dominant antibiotic classes, rationality indicators, resistance profile, and stewardship implications. The four studies were descriptive and hospital-based, using retrospective records, concurrent observation, ATC/DDD with DU 90%, qualitative rationality criteria, and antibiogram data. The synthesis showed a consistent concentration of antibiotic use in broad-spectrum groups, especially third-generation cephalosporins, penicillins, quinolones, and macrolides. In a Bandung public hospital, total antibiotic consumption reached 95,719.01 DDD, with penicillins, cephalosporins, quinolones, macrolides, and sulfonamides included in the DU 90% segment. In intensive care, ceftriaxone was the most frequently used antibiotic and most rationality indicators were appropriate, although clinically significant drug interactions were still identified. In pediatric acute respiratory infection inpatients, cefotaxime and ceftriaxone dominated empirical therapy. Resistance mapping in Denpasar highlighted relevant Gram-positive and Gram-negative pathogens and recommended antibiotics according to susceptibility levels. Overall, the reviewed evidence supports an integrated antimicrobial stewardship model combining ATC/DDD-DU 90% surveillance, qualitative rationality evaluation, antibiogram-based empirical guidance, and periodic feedback to prescribers.

Typhoid fever is a febrile illness that commonly occurs in urban areas with poor sanitation. It is usually caused by the consumption of untreated water and contaminated food. Because the S. typhi bacterium can survive in water for days, contamination of surface water—such as wastewater, freshwater, and groundwater—serves as the primary cause of typhoid fever. The patient presented to the Emergency Department of Cut Meutia General Hospital with complaints of high fever for approximately 4 days prior to admission, which had worsened over the past 2 days. The fever fluctuated and was accompanied by chills. It worsened at night and was not influenced by weather or temperature. These symptoms were accompanied by vomiting every time the patient tried to eat, nausea, abdominal pain, headache, and weakness. The patient reported vomiting the contents of their meal every time they ate, leading to a loss of appetite. These symptoms began when the patient first developed a fever. The patient also experienced abdominal pain. Spontaneous bleeding was denied. On physical examination, the patient appeared weak but was alert and oriented. On neck examination, palpable enlargement of the thyroid glands was found on the right and left sides of the neck, measuring 2x2 cm, mobile, and soft. On abdominal examination, increased bowel sounds were noted. Vital signs were normal except for the patient’s febrile temperature. Laboratory tests revealed a Tubex blood test result of scale 4 and a positive dengue IgG serology result.

The development of information and communication technology has increased the use of electronic documents in legal and business activities, thereby affecting the evidentiary system in Indonesian civil procedural law. This study aims to analyze the legal regulation of electronic evidence and its evidentiary strength in resolving civil cases under Indonesian civil procedural law. The research method used is normative juridical research with statutory and library research approaches. The data were obtained from primary and secondary legal materials and analyzed qualitatively. The results show that electronic evidence has been legally recognized through Law Number 11 of 2008 in conjunction with Law Number 19 of 2016 concerning Electronic Information and Transactions. Its evidentiary strength has the same legal position as other forms of evidence as long as it fulfills the requirements of authenticity, integrity, and validity of electronic data. Therefore, more detailed regulations regarding authentication standards and examination procedures for electronic evidence are still needed to ensure legal certainty in civil court practices.

This study examines the foundational framework and evolving dynamics of Indonesian civil procedural law (Hukum Acara Perdata) amid its transformation from colonial legal heritage toward a modern, digitalized justice system. Using normative-doctrinal legal research methodology combined with empirical court statistics from 2022–2024, the study analyzes four dimensions: (1) core procedural principles rooted in the HIR and RBg; (2) the mandatory mediation framework under PERMA No. 1 of 2016; (3) the evolution of evidence law toward electronic evidence under the amended UU ITE (Law No. 1 of 2024); and (4) mechanisms of judicial decisions and legal remedies. Findings show that e-court implementation has dramatically increased efficiency minutasi productivity rose from 64.35% (2022) to 96.50% (2024)—while 594,816 users registered through e-court by 2023. The study concludes that Indonesia’s civil procedural law is actively adapting to technological disruption, though structural challenges such as digital inequality, electronic evidence authentication gaps, and regulatory harmonization remain unresolved.

This study aims to analyze the participation of the faithful in the Sacrament of Penance and to identify the pastoral challenges influencing its practice in the Vicariate of West Sulawesi, Archdiocese of Makassar. Theologically, the Sacrament of Penance serves as a means of reconciliation that restores the relationship between humanity, God, and the Church. However, in contemporary contexts, its practice encounters various social, psychological, and pastoral dynamics. This research employed a descriptive quantitative approach involving 267 respondents from four parishes through questionnaire distribution. The data were analyzed using percentage-based statistics to map participation frequency, spiritual motivation, level of understanding, post-sacramental experiences, and perceived obstacles. The findings indicate that although most respondents demonstrate strong theological understanding, sincere spiritual motivation, and positive spiritual experiences after receiving absolution, participation remains largely seasonal and periodic. The principal challenges include psychological factors such as shame and anxiety, structural limitations related to schedule and accessibility, and formative deficiencies such as insufficient ongoing catechesis. The study concludes that the primary issue is not a crisis of faith in the sacrament itself, but a gap between theological awareness and concrete practice, thus calling for more dialogical, communicative, and contextual pastoral renewal.

This study aims to analyze the comparison of financial distress levels measured using the Current Ratio (CR) and the Altman Z-Score model and their relationship with stock returns in PT Charoen Pokphand Indonesia Tbk and PT Japfa Comfeed Indonesia Tbk during the period 2020–2025. The research method used is a quantitative approach with a comparative design, and the sampling technique applied is purposive sampling. Data analysis was conducted using descriptive statistics and multiple linear regression.The results indicate that there is no statistically significant difference between the two companies in terms of hal Likuidity (Current Ratio) dan Financial Distress (Altman Z-Score). Descriptively, CPIN has an average Current Ratio of 1.959 and a Z-Score of 3.700, while JPFA shows slightly lower values but remains within the safe zone. Furthermore, regression results reveal that liquidity and financial distress do not have a significant effect on stock returns. Both companies are classified in the safe zone, indicating a healthy financial condition and low risk of financial distress, while stock returns tend to be volatile and influenced by external factors.The study recommends that companies maintain a balance between liquidity, profitability, and capital structure to sustain financial stability. Investors are advised to consider not only financial ratios but also external factors in decision-making. Future researchers are encouraged to expand the sample size and include additional variables to obtain more comprehensive results.

This study examines land-use transformation in Hamadi Rawa I, Jayapura City, focusing on the shift from water catchment to built-up land during 2015–2025. The research employs a mixed-methods approach, combining analysis of Google Earth imagery with interviews with community, government, and academic stakeholders. Findings show the catchment area shrank by 48% (from 17% to 8% of the total area), decreasing from 21.36 ha to 11.20 ha. The built-up area increased by 28.1%, from 70.78 ha to 90.67 ha, with residential development driving most of this growth (51.1%). Three spatial transformation patterns emerged: ecological fragmentation, linear service sector development, and concentric settlement patterns. Idle land was also identified as a phenomenon that damages ecological functions without providing a productive benefit. The conversion was driven by physical-natural factors (basin topography), economic factors (market proximity), socio-demographic factors (urbanization), and especially institutional factors. Customary land transactions outside state control created a governance dilemma between humanity and public order. The study recommends a proactive-collaborative approach with three key instruments: (1) Zero-Reclamation with Adaptive Permitting for stilt structures; (2) fiscal intervention using Idle Land Tax and Payment for Ecosystem Services; and (3) a Participatory Spatial Control Task Force integrating government and customary authorities (Ondoafi).

Corona Virus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The first case was identified in Wuhan, China, in December 2019. The World Health Organization declared COVID-19 a Public Health Emergency of International Concern (PHEIC) on January 30, 2020, and a pandemic on March 11, 2020. This study aimed to determine the results of CT Value images on the first and second swab tests of children with COVID-19 in Indramayu. A descriptive design was used with total sampling, involving 54 respondents. Secondary data were analyzed using univariate analysis. On the first swab test, 27 children (50.0%) had a strong positive Ct Value, 26 children (48.1%) were positive, and 1 child (1.9%) had a weak positive Ct Value. On the second swab test, 23 children (71.9%) were positive, 6 children (18.8%) were strong positive, and 3 children (9.4%) were weak positive. All children tested positive on the first swab, while 32 (59.3%) remained positive and 22 (40.7%) became negative on the second swab. Most children showed decreased infection severity, although some remained positive.

This study aims to analyze a comparison of coal stockpile volumes using the DJI Mavic 3 Pro Unmanned Aerial Vehicle (UAV) method versus the truck count method at PT. Mitra Barito. Data collection was conducted through aerial photography using a UAV at altitudes of 60 meters and 70 meters, as well as Ground Control Point (GCP) measurements using GPS. The aerial imagery data was processed using photogrammetry software to generate orthophotos and a Digital Elevation Model (DEM), followed by a geometric accuracy test based on the Geospatial Information Agency Regulation No. 6 of 2018, using the Circular Error 90% (CE90) and Linear Error 90% (LE90) parameters. The research results show that high-quality processing at an altitude of 60 meters yields a CE90 value of 2.1619 meters and an LE90 value of 4.3656 meters, thereby meeting the accuracy standards for RBI maps at a scale of 1:5,000, Class 3 for horizontal accuracy, and a scale of 1:10,000, Class 3 for vertical accuracy. Volume calculations of the stockpile using UAVs yielded a result of 22,750.900 m³, while the truck count method produced a volume of 23,503.300 m³. The volume difference between the two methods was 753.400 m³, with a deviation percentage of 3.2%. Based on the research results, the UAV method is considered capable of providing relatively accurate calculations of coal stockpile volume.

The study highlights the importance of spirituality as a foundational framework for shaping adolescents’ life orientation in the complex digital era, marked by pervasive distractions and fragmented meaning. Ignatian spirituality, emphasizing reflection and lived experience as loci of encounter with God, provides a contextual approach to help adolescents construct deeper existential meaning. The study aims to examine how reflective practices within this framework support students of SMK Katolik St. Mikael Surakarta in internalizing spiritual values and navigating digital challenges. Using a qualitative descriptive case study design, data were collected from 195 reflective writings of twelfth-grade students and reduced to 90 representative samples. The film Hacksaw Ridge was employed as a reflective stimulus to enhance affective and existential engagement. Data analysis was conducted using the four pillars of Jesuit education: Competence, Conscience, Compassion, and Commitment. The findings reveal that all reflections contain at least one element of the 4C framework integrated with Ignatian spirituality. Reflection serves not only as a medium of self-expression but also as a transformative process fostering moral awareness, social sensitivity, and commitment to action. It effectively enables students to process both personal and digital experiences into meaningful learning. The study affirms the strong relevance of integrating spirituality, reflection, and Ignatian pedagogy in contemporary education, contributing to the formation of reflective, value-oriented individuals committed to the common good.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- processing (text cleaning, normalization, and tokenization), labeling sentiment into positive, negative, and neutral, and testing the Naïve Bayes model. The results show that the Naïve Bayes algorithm is able to classify sentiment with an accuracy level of 93.73%. The distribution of sentiment from 1004 comments shows that the majority of public opinion is (negative/positive/neutral), which indicates that public perception of the performance of law is still (critical/positive). These findings are expected to be input for related parties to understand public opinion and improve the quality of legal performance in

Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.