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Heat stress is a major constraint in broiler production systems located in humid tropical climates, where high ambient temperature and relative humidity impair growth performance, feed efficiency, and animal welfare. This systematic review synthesizes peer-reviewed studies published between January 2015 and December 2025 evaluating environmental housing designs and cooling strategies for mitigating heat stress in broiler chickens. This systematic review followed the PRISMA 2020 guidelines and synthesized peer-reviewed studies retrieved from Scopus, Web of Science, and ScienceDirect, published between January 2015 and December 2025. From 500 records initially identified, 26 studies fulfilled the predefined eligibility criteria and were included in the qualitative synthesis. The findings demonstrate that evaporative cooling systems, tunnel ventilation, and automated climate control technologies consistently reduced indoor temperature (2–6°C) and improved body weight gain, feed conversion ratio (FCR), and mortality rates under hot-humid conditions. However, cooling efficiency was strongly influenced by ambient humidity, necessitating integrated and adaptive environmental control approaches. Smart sensor-based systems further enhanced microclimate stability and thermal uniformity within broiler houses. Beyond performance improvements, optimized environmental management reduced physiological stress indicators, including heterophil-to-lymphocyte ratios and corticosterone levels. Overall, integrated, humidity-adaptive, and energy-efficient cooling strategies are essential to sustain productivity, welfare, and climate resilience in tropical broiler production systems.

Radiological examination is a diagnostic supporting procedure aimed at visualizing the internal structures of the human body to assist in establishing a diagnosis. One of the examinations performed is the Acromioclavicular Joint examination, which is used to identify abnormalities of the acromioclavicular joint. This study aims to compare the imaging results of the Acromioclavicular Joint using the anteroposterior (AP) projection with a 3 kg weight and the AP projection without a weight. The study was conducted at the Radiology Laboratory of STIKES Boneo Nusantara, Diploma III Radiology Study Program, using a conventional radiography unit and a quantitative descriptive method with a case study approach. Data were collected through observation and questionnaires. The results showed that the examination using a 3 kg weight produced clearer Acromioclavicular Joint images than the examination performed without a weight. The difference was reflected in the improved visualization of the anatomical structures, thereby facilitating a more accurate assessment of the joint. This study concludes that the use of a 3 kg weight in the AP projection provides superior imaging results by enhancing the visualization of the anatomy of the shoulder joint, thereby potentially improving the accuracy of the radiological evaluation of the Acromioclavicular Joint.

Radiological examination is a diagnostic supporting procedure aimed at visualizing the internal structures of the human body to assist in establishing a diagnosis. One of the examinations performed is the Acromioclavicular Joint examination, which is used to identify abnormalities of the acromioclavicular joint. This study aims to compare the imaging results of the Acromioclavicular Joint using the anteroposterior (AP) projection with a 3 kg weight and the AP projection without a weight. The study was conducted at the Radiology Laboratory of STIKES Boneo Nusantara, Diploma III Radiology Study Program, using a conventional radiography unit and a quantitative descriptive method with a case study approach. Data were collected through observation and questionnaires. The results showed that the examination using a 3 kg weight produced clearer Acromioclavicular Joint images than the examination performed without a weight. The difference was reflected in the improved visualization of the anatomical structures, thereby facilitating a more accurate assessment of the joint. This study concludes that the use of a 3 kg weight in the AP projection provides superior imaging results by enhancing the visualization of the anatomy of the shoulder joint, thereby potentially improving the accuracy of the radiological evaluation of the Acromioclavicular Joint.

Limited land availability is a major constraint in developing school infrastructure in active urban educational facilities. This study evaluates the classroom development plan at SDN 39 Lubuklinggau from the perspective of a planner, focusing on land limitation, functional needs, safety, constructability, and long-term building performance. A descriptive-evaluative approach was applied through technical observation, document review, alternative assessment, weighted scoring, and risk analysis. The results indicate that horizontal expansion is constrained by limited open space and may reduce internal circulation, student activity areas, and emergency space. Three alternatives were compared: horizontal expansion, building rearrangement, and a two-storey classroom scheme. The two-storey alternative obtained the highest score of 84, compared with 61 for rearrangement and 56 for horizontal expansion. However, its feasibility depends on further soil investigation, structural design, staircase and evacuation safety, utility coordination, construction phasing, and strict site safety control. The study recommends that the planner prioritize detailed site measurement, geotechnical investigation, detailed engineering design, construction safety planning, and post-construction functional evaluation. A vertical classroom strategy can be considered a rational solution for land-constrained schools when supported by accountable technical planning and integrated project control.

Esophageal atresia with tracheoesophageal fistula is a congenital anomaly requiring early diagnosis and prompt surgical correction. Gross type D esophageal atresia, characterized by both proximal and distal tracheoesophageal fistulas, is an exceedingly rare variant that poses significant diagnostic and operative challenges. We report a case of a full-term female neonate with a birth weight of 3,200 grams who presented with hypersalivation since the first day of life, accompanied by coughing and choking during feeding. Orogastric tube insertion failed, with the tube arrested at approximately 15 cm. The patient was referred with a diagnosis of neonatal pneumonia and suspected esophageal atresia with tracheoesophageal fistula. Physical examination revealed tachypnea, chest wall retraction, and respiratory distress requiring ventilatory support. Babygram demonstrated the orogastric tube tip arrested at the proximal esophageal pouch with distal gastrointestinal air. Contrast esophagography confirmed proximal esophageal atresia at the upper thoracic level with suspected proximal fistula. Associated findings included bilateral pneumonia, right upper lobe atelectasis, and vertebral anomalies suggestive of VACTERL association. Intraoperative findings confirmed Gross type D esophageal atresia with proximal and distal tracheoesophageal fistulas. Both fistulas were excised, followed by primary esophageal anastomosis and transanastomotic nasogastric tube placement. Gross type D esophageal atresia is a rare congenital anomaly that should be considered in neonates presenting with hypersalivation, failed orogastric tube insertion, and respiratory distress. Anatomical subtype confirmation relies on intraoperative findings. Early surgical repair can be performed successfully; however, associated anomalies necessitate careful long-term follow-up.

This study aimed to examine the association between physical activity and nutritional status as risk factors for noncommunicable diseases among women of reproductive age. A descriptive quantitative study with a cross-sectional approach was conducted in Kranggan Village involving 35 respondents selected through purposive sampling. Data on physical activity were collected using questionnaires, while nutritional status was assessed based on Body Mass Index (BMI). The findings showed that most respondents had moderate physical activity levels (51.4%), followed by low physical activity levels (42.8%). Regarding nutritional status, the majority of respondents were classified as overweight (51.4%) and obese (28.6%). Statistical analysis demonstrated a significant relationship between physical activity and nutritional status (p = 0.003). The results indicate that inadequate physical activity is associated with increased nutritional status problems, particularly overweight conditions. Therefore, low physical activity and excessive body weight represent interconnected risk factors contributing to the development of noncommunicable diseases among women of reproductive age. This study highlights the importance of promoting regular physical activity and maintaining balanced nutritional status as preventive strategies to reduce the risk of noncommunicable illnesses.

The development of digital services by BPJS Ketenagakerjaan through the JMO (Jamsostek Mobile) application has triggered a surge in large-scale and unstructured user reviews on the Google Play Store, thereby complicating manual analysis and conventional sentiment analysis in accurately identifying specific issues. This research aims to implement the Aspect-Based Sentiment Analysis (ABSA) method to granularly evaluate JMO application reviews based on specific aspects, while simultaneously addressing class imbalance and computational efficiency issues. The proposed method combines the pretrained IndoBERT model as a contextual feature extractor, the SMOTE technique to balance the training data, and an artificial neural network (Neural Network) as the classification layer without performing full fine-tuning. The dataset used consists of 90,268 unique reviews categorized into five main aspects through keyword matching, namely General Satisfaction/Complaints, Performance & Stability, Service & Support, Feature Quality, and UI/UX, with initial lexicon-based labeling using the InSet Lexicon. The research results indicate that the proposed model successfully achieves highly optimal performance with an accuracy rate of 91.81% and a weighted F1-score of 92%. Furthermore, the implementation of SMOTE proved effective in enhancing model reliability on the minority class (negative sentiment), achieving an F1-score of 89%. The implications of this research contribute an accurate and efficient aspect-based sentiment analysis framework for developers, and serve as a strategic evaluation tool for BPJS Ketenagakerjaan in mapping specific user complaints to accelerate continuous improvements in the performance, stability, and service quality of the JMO application.

Nutritional problems among school-age children remain an important challenge in human resource development in Indonesia. Adequate nutritional status is essential for supporting physical growth, cognitive development, learning achievement, and future productivity. Schools play a strategic role in promoting children's health through nutritional monitoring and educational interventions, particularly during the implementation of the Free Nutritious Meal Program (MBG). This community service activity aimed to monitor students’ nutritional status and strengthen awareness of the importance of nutrition as a foundation for human resource development. The activity was conducted on April 5–6, 2026, at SD Negeri 09 Jambi City and involved 261 students from grades I to III. A school-based assistance approach was implemented through anthropometric measurements, including body weight and height assessments, followed by balanced nutrition education. The findings revealed that 77.0% of students had normal nutritional status, while 8.8% were undernourished, 9.6% were overweight, and 4.6% were classified as obese. The activity also increased school awareness regarding the importance of continuous nutritional monitoring and evidence-based health management. These findings suggest that school-based nutritional monitoring can support the implementation of the Free Nutritious Meal Program and serve as an initial effort to strengthen human resource development by fostering healthier, more productive, and higher-quality future generations.

Preeclampsia is one of the leading causes of maternal mortality and may result in various complications during pregnancy and childbirth. In Tegal Regency, preeclampsia contributed to 27% of maternal deaths in 2024; therefore, studies on childbirth characteristics among mothers with this condition are needed. This study aimed to identify the characteristics of childbirth events in mothers with preeclampsia at Dr. Soeselo Slawi Regional Hospital, Tegal Regency. A descriptive design with a retrospective approach was used by reviewing the medical records of 202 mothers who delivered with preeclampsia during 2025. Data were analyzed univariately and presented as frequency distributions and percentages. The results showed that most mothers underwent operative delivery (62.38%), while spontaneous and induced labor accounted for 37.13% and 0.50%, respectively. Most deliveries occurred at preterm gestational age (62.38%), followed by term (36.14%) and postterm (1.49%) deliveries. Maternal and obstetric complications included bleeding (6.93%), fetal distress (4.95%), eclampsia (1.49%), and HELLP syndrome (0.99%). Most neonates had normal birth weight (82.18%) and did not require NICU care (95.05%), although low birth weight (17.82%) and NICU admission (4.95%) were still identified. The maternal clinical condition was dominated by blood pressure of 140–159/90–109 mmHg (75.74%). Proteinuria was found in 46.53% of respondents, with moderate proteinuria (+2) as the predominant category (38.30%). In conclusion, childbirth among mothers with preeclampsia was dominated by operative and preterm deliveries. These findings emphasize the importance of early detection and optimal management of preeclampsia to reduce maternal and neonatal complications and improve the quality of maternal-infant health services overall.

Evacuation planning in spatial networks requires the identification of critical nodes that maintain connectivity, accessibility, and flow distribution during emergency situations. Existing approaches often rely on individual centrality measures, which capture only a single structural dimension of node importance and may therefore produce incomplete or biased prioritization. To address this limitation, this study proposes a Composite Centrality Framework for identifying critical nodes in meso-scale spatial networks with semi-structured connectivity. The network is modeled as a weighted undirected graph, and Degree, Betweenness, and Closeness Centrality are integrated into a unified composite index to capture complementary structural roles. The framework is implemented in MATLAB and evaluated using a real-world campus spatial network consisting of 30 nodes and a synthetic network comprising 16 nodes with comparable structural characteristics. The results reveal a highly uneven distribution of node importance, with a small set of structurally dominant nodes consistently identified across both networks. In the campus network, node P1 achieves the highest composite centrality score (0.2195) and ranks first across the individual centrality measures, indicating its dominant role in maintaining network connectivity, accessibility, and flow distribution. Quantitative evaluation demonstrates strong agreement between the composite ranking and the individual measures, with Spearman rank correlation coefficients of 0.94, 0.89, and 0.91 for Degree, Betweenness, and Closeness Centrality, respectively. However, only one node (P1) appears simultaneously in the top five of all rankings, highlighting the complementary nature of the individual centrality measures and supporting the need for multi-criteria integration. Sensitivity analysis across three weighting scenarios yields rank correlations exceeding 0.97, confirming ranking stability and methodological robustness. Overall, the proposed framework provides a balanced and reliable approach for identifying critical nodes and demonstrates potential applicability to evacuation planning and spatial network analysis in semi-structured environments.

California papaya leaves (Carica papaya L.) are known to contain various active compounds that have the potential to stimulate appetite and boost metabolism, making them a promising candidate for development as a pharmaceutical formulation. This study aims to design a capsule formulation of California papaya leaf extract with appropriate excipients and to evaluate its ability to increase body weight through preclinical testing using a zebrafish (Danio rerio). The extract was obtained via maceration with 96% ethanol and formulated into capsules using the wet granulation method in four variations (F0–F3). Physical evaluations included organoleptic properties, flowability, angle of repose, loss on drying, disintegration time, weight uniformity, and stability testing using the cycling test method. The results indicated that all formulas met the physical requirements, with disintegration times of 3–4 minutes and loss on drying <15%. Formula F2 exhibited the most optimal physical characteristics; however, stability testing revealed a decline in physical properties after extreme temperature treatment. Efficacy tests showed a significant increase in zebrafish weight (p < 0.05), with F3 yielding the best results. A high survival rate (≥80%) suggests the formulation is relatively safe. In conclusion, California papaya leaf extract capsules demonstrate significant potential as an agent to promote weight gain.

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.

The quality of rice that is suitable for consumption, one of which is determined by the absence of associated components when the rice is in storage. Rice storage is carried out by means of long shelf life and good rice quality. Damage to rice due to pest attacks causes a decrease in quality and quantity. Environmentally friendly efforts are needed to control the rice weevil Sitophilus oryzae using vegetable materials. This study sought to ascertain the death rate of rice weevils treated with lemongrass stem (Cymbopogon citratus), bay leaves (Syzygium polyanthum), and pandan leaves (Pandanus amaryllifolius). The study employed a fully randomized design with three treatments in the form of simplicia plant components. There were 21 study units because each treatment included seven repetitions. Each treatment used 20 rice weevil imago breeding results which were infested in a jar containing 200 g of rice for 4 weeks in the laboratory. The use of pandan leaf, bay leaf, and lemongrass simplicia at 7 days after treatment showed the proportion of rice weevil mortality was 59,29%, 39,29%, and 50,00%, respectively. As for the observations of 14 day after treatments, 21 day after treatments, and 28 day after treatments showed that the mortality rate of all rice beetles was above 50%. Regarding the percentage of rice powder, hollow rice, and rice weight loss, the findings of observations on rice weevil mortality did not reveal any significant variations across all treatments.

This study aims to analyse the legal status of physical possession evidenced by a Letter C under land law, as well as the issue of legal certainty in the resolution of land disputes by the state. Many members of the public still rely on a Letter C as proof of possession of the land they own, even though this document serves only as administrative evidence and not as a strong instrument of proof of ownership. This study employs a juridical-normative legal research method using a legislative approach and a conceptual approach. The legal materials were gathered through a literature review and analysed qualitatively, with the findings presented in a descriptive format. The results indicate that Letter C possesses relatively weak evidential weight as it is merely an administrative record that does not follow the procedures within the land registration system as stipulated by the UUPA. Currently, Letter C serves only as a guide and therefore no longer possesses legal force equivalent to a certificate. The land system in Indonesia adopts a negative publication system with a positive tendency, meaning that a certificate constitutes strong evidence of rights, but may still be revoked if another party is able to prove their rights.

This study analyzes netizen sentiment concerning the 17+8 public aspirations circulating the digital platform X spanning the period from August 18 through October 31, 2025. 1,837 comments obtained through scraping method. Classification Research stages include data preprocessing, sentiment weighting based on lexicon, and feature extraction using TF-IDF. Data 80% used for learning purposes and the remaining 20% utilized for validation. The findings reveal that the majority of comments, amounting to 81.14%, contained negative sentiment, while the remaining 18.86% were positive. The outcomes demonstrate that community reactions toward the 17+8 People's Demands were dominated by unsupportive views. From a theoretical standpoint this scholarly work offers to enriching knowledge concerning public opinion classification on political issues through a computational approach, while also serving as a reference for future research focused on improving the accuracy of sentiment analysis related to political dynamics and the behavior of state institutions.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

Odot grass (Pennisetum purpureum cv. Mott) is an important ruminant forage because of its high palatability, adaptability to tropical environments, and potential for high biomass production. This study aimed to evaluate the effect of solid organic fertilizer on the growth and production of odot grass as a basis for developing productive and sustainable forage cultivation. The experiment was conducted in Pangi Village, Dulupi District, Boalemo Regency, from February to March 2026 using a completely randomized design with five treatments and three replications. The treatments consisted of P0 without solid organic fertilizer, P1 at 10 t/ha, P2 at 20 t/ha, P3 at 30 t/ha, and P4 at 40 t/ha. Observed variables included plant height, leaf number, tiller number, and fresh weight production. Data were analyzed using analysis of variance followed by Duncan’s multiple range test at the 5% significance level. The results showed that P4 produced the best response for all measured parameters. The highest plant height was 77.83 ± 43.80 cm, with 18.83 ± 3.67 leaves, 2.42 ± 1.38 tillers, and fresh weight production of 52.33 ± 10.12 t/ha. These improvements indicate that 40 t/ha solid organic fertilizer enhanced nutrient availability and supported biomass formation. Solid organic fertilizer is therefore a promising locally based cultivation input for improving ruminant forage productivity.

High-quality forage selection is a central factor in improving Bali cattle performance, particularly in smallholder systems that rely heavily on local feed resources. This study evaluated the effects of odot grass (Pennisetum purpureum cv. Mott) and pakchong grass (Pennisetum purpureum cv. Thailand) on feed intake, average daily gain, and feed conversion ratio of male Bali cattle. The experiment was conducted for 30 days from February to March 2026 at CV. RnB Farm, Gorontalo Regency. Nine male Bali cattle with relatively homogeneous initial body weights of 150–200 kg was assigned to a completely randomized design with three treatments and three replications. The treatments were P0, field grass as the control; P1, 100% odot grass plus concentrate; and P2, 100% pakchong grass plus concentrate. Dry matter intake did not differ significantly among treatments, with values of 6.47 ± 0.19, 6.52 ± 0.19, and 6.55 ± 0.16 kg/head/day for P0, P1, and P2, respectively. In contrast, average daily gain differed significantly, with the highest value observed in P2 at 0.56 ± 0.08 kg/head/day, followed by P1 at 0.52 ± 0.09 kg/head/day and P0 at 0.45 ± 0.06 kg/head/day. Feed conversion ratio also differed significantly, with the most efficient value recorded in P2 at 11.98 ± 2.10. These findings indicate that pakchong grass combined with concentrate provides the best feed efficiency and growth performance, while odot grass remains a promising alternative forage for improving Bali cattle productivity.

This study was motivated by the phenomenon of increasing anti-feminism and digital misogyny in Germany, where constitutionally guaranteed equality has suffered a practical setback in the form of a decline in female representation in the Bundestag to 32,4%. This situation has triggered an urgent need for persuasive communication through state addresses. This study aims to analyze the emotional rhetoric (pathos) and intonation strategies in the Ansprache zum Welt-Frauentag in order to raise audience awareness. The method used is a mixed method of qualitative analysis of rhetoric by Aristoteles (2007) and quantitative digital acoustic analysis using Praat software supported theory by Kohler (1995). The data for this analysis are transcripts and audio recordings of the Ansprache zum Welt-Frauentag delivered by Bundespräsident Steinmeier. The results of the study identified three typologies of relationships between diction and intonation, namely contradiction, in which emotional diction is delivered in a flat tone to maintain objectivity; compensation, in which neutral legal references are given emotional weight through a rise in tone (late peak); and parallelism, which is the harmony between emotional diction and the highest voice frequency to build strong authority. Thus, this study confirms that the effectiveness of persuasion in a speech does not only depend on the text, but also on the flexibility of manipulating voice frequency, which strategically functions as an instrument for navigating the audience’s emotions.