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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.

Hot material dumping in the chemical industry is an important process stage that affects occupational safety, process stability, and product quality reliability. In manual processes, dumping activities may cause variation because they are influenced by operator condition, pouring angle, work speed, and exposure to hot materials. This study aims to analyze the consistency of the hot material dumping process and formulate a B2B strategy based on process reliability. The research method uses a descriptive-quantitative case study approach with data from 20 batches, analyzed through three indicators: dumping time, pouring flow stability, and material temperature change or ΔT. The data were primary data obtained directly through field observation, production-process documentation, and recording of process parameters; journal literature was used only as the theoretical and interpretive basis. The results show that the automated process provides more consistent performance than the manual process. The average dumping time decreased from 49.14 seconds to 30.18 seconds, the coefficient of variation for dumping time decreased from 12.44% to 1.36%, the pouring flow stability score increased from 2.55 to 4.70, and the average material ΔT decreased from 15.26°C to 8.16°C. These findings indicate that automation can improve process regularity, reduce variation between batches, and maintain material conditions in a more controlled manner. This process consistency can serve as the basis for a B2B strategy based on process reliability, emphasizing process reliability, production safety, quality consistency, and data-based evidence as key values in building industrial customer trust.

This study aims to design and implement a simple solar panel-based battery charging system equipped with protection and voltage limiting circuits. The study was conducted to address the limitations of a direct solar panel-to-battery connection, which may cause short-circuit risk, reverse current, unstable charging voltage, and excessive battery charging. This research used a design-based experimental approach. The system was developed by preparing a block diagram, dividing it into several functional sub-blocks, and implementing the design into an electronic circuit. The main circuit sections consisted of solar panel protection, voltage limiter, interlocking circuit breaker, power regulator, and voltage divider. The assembled circuit was tested through real-time measurement by observing solar panel output voltage under different time and sky conditions and measuring battery charging time from different initial voltage levels. The results show that the solar panel output voltage varied according to time and weather condition. The lowest measured voltage was 15.0 V under cloudy conditions, while the highest measured voltage was 25.2 V under clear sky conditions around midday. The battery charging test showed that lower initial battery voltage required longer charging time, while voltage closer to the target level required shorter charging time. The evaluation was limited to voltage measurement and charging time; charging current, battery temperature, solar irradiance, and charging efficiency were not measured in detail. The proposed system can be applied for small-scale solar charging, educational practice, and basic renewable energy experiments. The study offers a practical circuit model that integrates protection, interlocking, voltage limiting, and regulation functions using simple and accessible electronic components.

The physical work environment in the Aerosol Production Department of PT XYZ experienced problems related to excessive room temperatures reaching 37.3°C and chemical odor pollution caused by vapor recirculation from the coating oven process. These conditions potentially reduced operator comfort and concentration. This study aimed to analyze the effectiveness of the Kaizen approach through the Plan-Do-Check-Act (PDCA) cycle in controlling production room temperature and improving air quality. A quantitative descriptive method with an Action Research approach was employed. Problem identification and root cause analysis were conducted using the 7 QC Tools, particularly the Pareto Diagram and Fishbone Diagram. Improvement actions included the installation of turbine ventilators, aluminum foil roof insulation, and a 3-meter vertical exhaust ducting system. The results showed that the average room temperature decreased from 34.6°C to 27.4°C, representing a reduction of 7.2°C, while the peak daytime temperature decreased by 8.7°C and met the established threshold limit value. In addition, chemical odor pollution was completely eliminated. Therefore, the Kaizen-PDCA approach proved effective in improving the physical work environment sustainably.

Wastewater Treatment Plant (WWTP) pada kawasan industri konvensional umumnya masih mengandalkan strategi pemeliharaan berbasis interval waktu yang tetap. Pendekatan tersebut berisiko menyebabkan penurunan performa pompa yang tidak teridentifikasi secara dini serta meningkatkan potensi pemborosan energi operasional. Penelitian ini mengembangkan Green Maintenance Framework berbasis machine learning untuk meningkatkan reliabilitas pompa sirkulasi pada sistem Moving Bed Biofilm Reactor (MBBR). Analisis dilakukan menggunakan dataset telemetri multi-sensor yang mencakup parameter getaran, temperatur, tekanan, debit aliran, dan rotasi per menit (RPM). Proses rekayasa fitur diterapkan melalui pembentukan System Efficiency Index untuk meningkatkan sensitivitas model terhadap indikator degradasi kinerja pompa. Model prediktif dibangun menggunakan algoritma Random Forest Classifier dengan skema pembagian data 80:20 secara stratified. Hasil pengujian menunjukkan bahwa model menghasilkan tingkat akurasi klasifikasi sebesar 100%, dengan variabel Vibration dan Temperature menjadi parameter yang paling dominan dalam proses prediksi. Analisis operasional memperlihatkan bahwa degradasi pompa menyebabkan penurunan flow rate meskipun nilai rotasi per menit (RPM) mengalami peningkatan, sehingga memicu kenaikan konsumsi energi dan meningkatkan risiko gangguan pada proses biologis Moving Bed Biofilm Reactor (MBBR). Dari aspek ekonomi, kondisi tersebut menyebabkan pemborosan energi sebesar 5.623 kWh atau setara Rp6.271.236, - per bulan untuk setiap unit pompa. Penelitian ini berkontribusi pada pengembangan sistem predictive maintenance berbasis kecerdasan buatan untuk mendukung efisiensi energi serta implementasi green manufacturing di kawasan industri.

ASTM A36 steel has relatively low hardness and corrosion resistance, making surface treatment necessary to improve its material properties. This study aims to determine the effect of temperature and holding time variations in the pack carburizing process on the hardness, corrosion rate, and microstructure of ASTM A36 steel. The pack carburizing process was carried out using coconut shell charcoal as the carburizing medium with temperature variations of 850°C, 900°C, and 950°C and holding times of 20, 40, and 60 minutes, followed by quenching in distilled water. Hardness testing was conducted using the Rockwell B scale (HRB) method, corrosion rate testing was performed according to the ASTM G31 method, and microstructural observations were carried out using Scanning Electron Microscopy (SEM). The results showed that increasing the temperature and holding time improved the hardness and corrosion resistance of ASTM A36 steel. The highest hardness value was obtained at a temperature of 950°C with a holding time of 60 minutes, reaching 114.1 HRB. Microstructural analysis revealed the formation of a martensitic phase on the specimen surface after the carburizing process.

Introduction: Febrile seizures are seizure episodes that occur due to an increase in body temperature above 38°C without evidence of central nervous system infection such as meningitis or encephalitis. In Indonesia, the prevalence of febrile seizures is approximately 2–5% among children aged 6 months to 3 years, and around 30% of these cases experience recurrence or recurrent febrile seizures. Therefore, an appropriate nursing care plan is required to manage patients with febrile seizures. Methods: This scientific paper employed a descriptive narrative method to illustrate the provision of nursing care to patients through the nursing process approach. The general objective of this study was to understand and implement nursing care for patients with febrile seizures. Results: The nursing diagnoses identified in patients with febrile seizures were hyperthermia, risk for injury, and knowledge deficit. Nursing interventions included hyperthermia management, safety management, and health education. Conclusion: After two days of nursing implementation, two nursing diagnoses were resolved and one was partially resolved. Discharge planning included monitoring the patient's condition, particularly for seizure signs, maintaining a safe environment, educating the family about injury prevention during seizures, and encouraging family members to continuously supervise the patient.

Thalassemia is an inherited hemolytic anemia caused by genetic abnormalities in chromosomes 11 and 16 that impair globin chain production, leading to insufficient hemoglobin and red blood cells. This study aims to describe nursing care for An. W with thalassemia at the Anggrek 2 Ward of RSUD dr. Soeselo, Tegal Regency. The method used was a descriptive approach through anamnesis, documentation, observation, and literature review. Nursing care was carried out over two days (January 13–14, 2026). Physical examination results on January 12, 2026 showed a pale face, anemic conjunctiva, weakness, CRT >3 seconds, decreased skin turgor, weak peripheral pulse, cold extremities, and laboratory hemoglobin of 5.9 g/dL, with vital signs of pulse 111x/minute, temperature 36.7°C, and respiration 22x/minute. Two nursing diagnoses were established: ineffective peripheral perfusion related to decreased hemoglobin concentration (D.0009), and activity intolerance related to weakness (D.0056). Nursing interventions included circulatory care (I.02079) and energy management (I.05178). Nursing implementation was carried out according to plan. Evaluation on January 14, 2026 showed that both nursing diagnoses were resolved; the patient's hemoglobin improved to 10.7 g/dL after two blood transfusions, and the patient was declared fit for discharge. It is recommended that hospitals establish support groups for thalassemia patients to provide adequate emotional and social support.

The quality of boiler feedwater is a crucial factor in maintaining the operational reliability of ship machinery systems against the risks of corrosion and scale formation. This research focuses on the design and development of a real-time monitoring system based on the Internet of Things (IoT) to automatically determine water quality. The hardware development utilizes a NodeMCU ESP32 microcontroller that integrates four main sensors: a pH sensor, a DS18B20 temperature sensor, a Total Dissolved Solids (TDS) sensor, and a turbidity sensor. The methodology applied is an experimental systems engineering model, encompassing circuit design, software programming, and the implementation of simple artificial intelligence. The automatic decision-making process in this tool is designed using zero-order Sugeno fuzzy logic with input parameters of turbidity, salinity, and acidity level (pH). The obtained data is transmitted wirelessly to a Firebase database and visualized through a 0.96-inch OLED display. Functional tests on seven fluid characteristics including pure water, hard water, and muddy water show that this prototype can accurately classify water quality into Good, Fair, and Poor categories. The main contribution of this design is the provision of a preventive, efficient, and applicable boiler maintenance solution for the modern shipping industry.

Diabetes mellitus (DM) is a chronic metabolic disease characterized by elevated blood glucose levels due to insufficient insulin production or ineffective insulin utilization. The prevalence of DM in Indonesia reached 11.7% in the 2023 National Health Survey, with Brebes Regency recording 568 DM cases in 2025 and increasing to 157 cases in Tonjong Village in January 2026. This case study aims to describe comprehensive nursing care for Ny. M, a 52-year-old patient diagnosed with endocrine system disorder (diabetes mellitus), in the family of Tn. I at Karang Anyar Village, Tonjong District, Brebes Regency. The method used was a case study with data collection through interview, observation, physical examination, blood glucose measurement, and literature review conducted on December 26–28, 2025. The assessment found subjective data: the patient frequently felt fatigue, tingling in both legs, excessive thirst, and increased urination frequency. Objective data: pale and fatigued face, blood pressure 150/100 mmHg, pulse 95x/min, respiration 22x/min, temperature 36.7°C, and random blood glucose (RBG) 155 mg/dl. Two nursing diagnoses were established: blood glucose instability and readiness for enhanced knowledge. Interventions implemented included hyperglycemia management (monitoring blood glucose, dietary education, complementary herbal therapy with ginger and honey), and health education regarding DM complications. Evaluation results showed that after 2 days of nursing visits, fatigue decreased, blood glucose improved (RBG 130 mg/dl), and the patient's knowledge about DM complications was resolved.

This study aims to analyze the implementation of quality control in the carbonated beverage filling process using an automated filler machine and to identify critical control points that influence product conformity and production efficiency. A descriptive quantitative approach was employed through production line observation, machine monitoring, and quality control documentation review. The study focused on the filling process of carbonated beverages packaged in 330 mL aluminum cans and the associated quality control activities throughout the production line. The findings show that the filling process is the key quality control stage, supported by the automated filler machine, Fill High Detector (FHD), seaming, temperature stabilization, and traceability systems to maintain product conformity. The study was limited to a descriptive evaluation of a single production line and did not include statistical process capability analysis or quantitative measurements of filling variation. Therefore, the findings primarily provide operational insights rather than statistical validation of process performance. The findings may assist beverage manufacturers in improving filling accuracy, strengthening inspection systems, and enhancing production reliability through effective quality control practices. This study provides a comprehensive overview of quality control implementation in an automated carbonated beverage filling system and highlights the integration of filling, inspection, and supporting production processes in maintaining product quality and operational efficiency.

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.

Background: Acute pharyngitis is an inflammation of the pharynx caused by viral or bacterial infections, frequently resulting in sore throat, fever, and dysphagia. This condition is among the most prevalent acute respiratory tract infections in children and adolescents worldwide, contributing significantly to morbidity and the burden of healthcare services. Objective: This case study aimed to describe the comprehensive nursing care provided to patient An. F with acute pharyngitis at Ward Anggrek 1, RSUD dr. Soeselo, Tegal Regency. Methods: A descriptive study design with a nursing process approach was employed. Data were collected through anamnesis, physical examination, observation, and documentation review. The nursing process encompassed assessment, nursing diagnosis, intervention planning, implementation, and evaluation. Results: Assessment revealed chief complaints of throat pain (NRS scale 5), fever (38.8°C), erythematous tonsils, and nutritional deficit. Three nursing diagnoses were established: acute pain related to physiological injury, hyperthermia related to disease process, and knowledge deficit related to insufficient information exposure. Interventions included pain management, hyperthermia management, and health education. Following two days of nursing care, the patient’s condition significantly improved, with pain scale reduced from 5 to 3 and body temperature normalized to 37.7°C. Conclusion: Comprehensive nursing care incorporating pharmacological and non-pharmacological approaches effectively reduced pain and fever, and improved patient and family health literacy regarding acute pharyngitis.

The consistent decline in cucumber production in Indonesia indicates limitations in conventional cultivation systems, particularly due to land scarcity and inefficient resource management. This condition has encouraged the development of hydroponic systems as a more controlled and productive cultivation alternative. This study aims to critically analyze the key factors determining the success of hydroponic cucumber cultivation and to identify the most influential management aspects in improving yield. The method employed is a literature review, examining various recent studies related to hydroponic systems, nutrient management, growing media, and environmental factors. The results show that the advantages of hydroponics lie not only in land and water efficiency but also in the ability to precisely control growth variables. However, optimal productivity highly depends on the proper integration of nutrient management, particularly the regulation of pH, electrical conductivity (EC), and nutrient balance, as well as the control of environmental factors such as temperature, humidity, and light intensity. Inaccuracy in a single component can significantly reduce plant performance, even when other factors are optimal. Therefore, an integrated approach combining nutrient and environmental management simultaneously is essential to enhance hydroponic cucumber productivity. This study confirms that hydroponics has strong potential as a strategic solution to support sustainable agriculture amid land limitations in Indonesia.

This study aims to determine the production process and the level of consumer acceptance of Bandung nagasari cake utilizing stevia as a natural sweetener and butterfly pea flower extract (Clitoria ternatea) as a natural coloring agent. The research employed a quantitative approach with an experimental method through organoleptic testing involving 20 panelists. Data collection techniques consisted of literature review, questionnaires, and organoleptic evaluation covering taste, texture, aroma, and appearance. The obtained data were analyzed using descriptive quantitative analysis with percentage calculations. The findings indicated that the Bandung nagasari formulation containing stevia and butterfly pea flower extract was more preferred than the formulation using granulated sugar. Approximately 90% of panelists preferred the taste attribute due to its healthier perception, while 80% of panelists favored the texture, aroma, and appearance attributes because of the softer texture and the attractive natural coloration produced by the butterfly pea flower extract. Furthermore, the product demonstrated a shelf life of 12 hours at room temperature and up to 3 days under refrigerated storage conditions. The study concludes that the incorporation of stevia and butterfly pea flower extract may serve as an innovative development of traditional Bandung nagasari cake without eliminating its traditional characteristics and shows favorable consumer acceptance.

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.

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.

Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.

Hydroponic cultivation of mustard greens (Brassica juncea L.) in greenhouses is an effective alternative for overcoming land limitations, particularly in urban areas. Hydroponic systems enable plants to obtain nutrients optimally through the application of the Nutrient Film Technique (NFT) and Deep Flow Technique (DFT), thereby promoting more efficient plant growth. In addition, the success of hydroponic mustard cultivation is influenced by environmental control, including temperatures ranging from 15–35°C and relative humidity levels of 70–90%. Plant nutrient requirements are supplied through an AB Mix nutrient solution with a pH range of 5.5–6.5 and an electrical conductivity (EC) value of 1.5–3.0 mS/cm. This review aims to analyze various factors affecting the growth of hydroponic mustard greens, including nutrient management, environmental conditions, and biological pest and disease control using beneficial agents such as Trichoderma and Bacillus. Furthermore, this study discusses several technical and economic challenges that may influence cultivation success. The findings indicate that hydroponic systems can significantly improve crop productivity and yield quality, reduce the use of chemical pesticides, and support the implementation of sustainable and environmentally friendly urban agriculture in Indonesia.