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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.

This study aimed to analyze the effect of infant massage on growth and development among infants attending Puskesmas Bongo II. Infant massage is recognized as a form of sensory stimulation that enhances neural function, improves blood circulation, and strengthens maternal–infant bonding, thereby potentially supporting optimal physical growth and developmental progress. This research employed an analytic cross-sectional design involving infants aged 0–12 months, with a total sample of 50 infants selected using purposive sampling based on predefined inclusion criteria. Information regarding infant massage practices was collected through structured maternal interviews and categorized into routine massage (≥3 times per week) and non-routine massage. Infant growth was assessed using the weight-for-age (W/A) indicator based on WHO growth standards, while development was measured using the Developmental Pre-Screening Questionnaire (KPSP). Data were analyzed using the chi-square test with a 95% confidence level (p < 0.05). The results showed that infants who received routine massage demonstrated significantly better growth status and developmental outcomes compared to those who did not receive massage routinely. These findings suggest that infant massage is a simple, safe, and practical intervention that can be recommended to support growth and development and may be integrated into maternal and child health services at Puskesmas Bongo II.

Starfruit (Averrhoa bilimbi L.), commonly known in Indonesia as belimbing wuluh, is widely used as a natural acid in traditional cuisine. It is often processed into dried sour starfruit (asam sunti), which can last 1–1.5 years. However, traditional sun-drying methods are inefficient due to weather dependency, long processing times, and inconsistent product quality and color. This study aims to design and develop a tunnel-type starfruit dryer equipped with a blower system and heat control based on the Arduino Mega 2560. The research employs a quantitative method to evaluate tool performance. The dryer is cylindrical and supported by key components, including LPG gas as a heat source, a blower for air circulation, and a drum holder. Drying is conducted in six stages, each lasting 120 minutes, totaling 12 hours to achieve optimal dryness. Temperature monitoring at three points (T1, T2, T3) uses a MAX6675 sensor with a thermocouple connected to the Arduino Mega 2560, while weight measurement is done manually. Results indicate the tool functions effectively. A denser drying chamber and proper blower installation are recommended to ensure even heat distribution and improved drying efficiency for community use.

Starfruit (Averrhoa bilimbi L.), commonly known in Indonesia as belimbing wuluh, is widely used as a natural acid in traditional cuisine. It is often processed into dried sour starfruit (asam sunti), which can last 1–1.5 years. However, traditional sun-drying methods are inefficient due to weather dependency, long processing times, and inconsistent product quality and color. This study aims to design and develop a tunnel-type starfruit dryer equipped with a blower system and heat control based on the Arduino Mega 2560. The research employs a quantitative method to evaluate tool performance. The dryer is cylindrical and supported by key components, including LPG gas as a heat source, a blower for air circulation, and a drum holder. Drying is conducted in six stages, each lasting 120 minutes, totaling 12 hours to achieve optimal dryness. Temperature monitoring at three points (T1, T2, T3) uses a MAX6675 sensor with a thermocouple connected to the Arduino Mega 2560, while weight measurement is done manually. Results indicate the tool functions effectively. A denser drying chamber and proper blower installation are recommended to ensure even heat distribution and improved drying efficiency for community use.

This research focuses on optimizing the control system to improve voltage stability in a 10 kW Solar Power Plant (PLTS) located in a tropical region. The main issue addressed is voltage fluctuation caused by the intermittent nature of solar radiation (200–1200 W/m²) and temperature variations (20–50°C), which result in up to 12% overshoot in the inverter. The proposed method implements a Proportional-Integral-Derivative (PID) controller optimized using the Particle Swarm Optimization (PSO) algorithm with real-time irradiation input data. The research integrates a 100 Hz digital low-pass filter to mitigate sensor noise under low irradiation conditions. Simulation results show that the PID-PSO system successfully reduces overshoot from 12.1% to 4.2% under high irradiation, and decreases settling time from 0.62 seconds to 0.31 seconds. The digital filter effectively reduces measurement deviation from 7.2% to 2.8% at 200 W/m² irradiation. The PSO optimization achieved optimal convergence within 37 iterations with an Integral of Time-weighted Absolute Error (ITAE) value of 0.18. This study concludes that the implementation of PID-PSO with a digital filter significantly enhances the voltage stability of the PLTS by 20.3% compared to conventional PID control and is ready to be applied in tropical-region smart grid systems.

Early childhood is a critical period for growth and development, characterized by rapid changes in neurological, motor, sensory, and emotional systems. Stimulation during this stage plays a vital role, and non-pharmacological interventions such as massage and aromatherapy may enhance developmental outcomes. This quasi-experimental study employed a pretest–posttest control group design to evaluate the effectiveness of infant massage combined with aromatherapy. Twenty infants aged 3–12 months who met inclusion and exclusion criteria were recruited and assigned to either a control group (infant massage only) or an intervention group (infant massage with aromatherapy). Growth parameters (weight, length, head circumference) and developmental outcomes were measured using the Developmental Pre-Screening Questionnaire, covering gross motor, fine motor, language, and personal-social domains. Infants in the intervention group demonstrated significantly greater improvements in body weight, body length, head circumference, and developmental scores compared to the control group. These findings indicate that the addition of aromatherapy to infant massage provides measurable benefits for both physical growth and developmental progress. Combined infant massage and aromatherapy represent effective non-pharmacological strategies for early stimulation, supporting optimal growth and developmental trajectories in infants.

This study reports the green synthesis of vanadium pentoxide (V₂O₅) using virgin olive oil as a natural and environmentally benign reducing agent. The approach aims to minimize the environmental impacts associated with conventional synthesis routes. Structural and physicochemical characterizations confirmed the successful formation of nanoscale V₂O₅. X‑ray diffraction (XRD) analysis indicated an average crystallite size of approximately 16.57 nm, evidencing high crystallinity. Fourier‑transform infrared spectroscopy (FTIR) revealed characteristic V=O and V–O–V vibrations with bands associated with physisorbed water, confirming the correct oxide framework. Field‑emission scanning electron microscopy (FE‑SEM) showed irregularly shaped nanoparticles with a representative particle diameter of ~32.62 nm. Brunauer–Emmett–Teller (BET) and Barrett–Joyner–Halenda (BJH) analyses yielded a specific surface area of 10.817 m²/g, a total pore volume of 0.024277 cm³/g, and a broad mesoporous distribution (20–90 nm). Energy‑dispersive X‑ray spectroscopy (EDX) confirmed the purity of V₂O₅ with weight fractions of V (69.40%) and O (30.60%), consistent with the stoichiometric composition. Overall, the results demonstrate the effectiveness of olive oil as a green reducing agent for preparing nanoscale V₂O₅, which is promising for catalysis, energy storage, sensors, and clean‑energy applications.

Labor is the process of expelling the products of conception, namely the fetus and placenta, after reaching full term and being viable in the womb. There are two types of delivery: normal delivery and caesarean section (SC). Caesarean section (SC) is a surgical procedure performed through an incision in the uterine wall to deliver the fetus. Caesarean delivery is indicate in cases of cephalopelvic disproportion, breech or transverse fetal position, fetal weight exceeding 4,000 grams, or maternal health conditions that may endanger the mother and fetus. One of the common complications following caesarean delivery is pain. Pain is an unpleasant sensory and emotional experience associated with actual or potential tissue damage. An intervention that can be applied to reduce post SC pain is Guided Imagery Therapy. Guided imagery therapy is a non-pharmacological intervention aimed at reducing and controlling pain by creating pleasant and relacing thoughts, focusing on breathing, and visualizing positive scenarios. This study employed a descriptive case study design using the nursing process from assessment to evaluation. The study was conducted on two patients with moderate pain (pain scale 4-6) after SC at TK II Putri Hijau Hosiptal Medan. The results showed that after the application of guided imagery therapy for three days with a duration of 40 minutes per session, pain levels decreased to mild (pain scale 1-3). In ptient I, pain decreased from a score of 5 to 3, an in patient 2, from a score of 6 to 3. In conclusion, guided imagery therapy was successfully applied in reducing post -SC pain levels and can serve as a reference for further research on pain reduction following caesarean section.

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the  confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support sistem (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The sistem is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.  

Infant growth and development are crucial issues that require serious attention, particularly during the early childhood phase, which is crucial for a child's future development. The golden age of infants is the most sensitive period to various forms of stimulation that influence their motor, sensory, cognitive, and emotional development. However, not all parents, especially mothers, fully understand the importance of appropriate and safe stimulation in supporting infant growth and development. One form of stimulation that is relatively easy to perform, has no side effects, and can be applied independently at home is gentle touch therapy. Gentle Touch Therapy is a complementary therapy method that involves gentle, affectionate touch on the baby's body, aimed at stimulating the nervous system, strengthening the emotional bond between mother and child, and increasing comfort and relaxation in the baby. Several studies have shown that this gentle touch can improve sleep quality, accelerate weight gain, relieve stress, and encourage infant neuromotor and socio-emotional development. This community service activity was carried out as an effort to increase mothers' awareness and skills in providing stimulation through gentle touch. The activity was carried out at the Andina Independent Midwife Practice (PMB), Palembang City, in June 2025. The main target of this activity was mothers with babies aged 0–12 months. The implementation method included providing education through interactive lectures, demonstrations of touch therapy techniques by health professionals, and direct practice by mothers accompanied by facilitators. The results of the activity showed a significant increase in mothers' understanding of the importance of growth and development stimulation, especially through gentle touch therapy. The participants showed high enthusiasm in participating in the activity and were able to practice gentle touch techniques correctly and confidently.

Traditional markets are characterized by fast-paced and diverse transactions, necessitating a reliable product monitoring system to enhance the efficiency of stock management and transactions. This study develops a monitoring system based on a loadcell sensor and a TCS230 color sensor to automatically classify product weight and type. The loadcell is used to measure product weight with high accuracy, while the TCS230 detects the color characteristics of products to distinguish between different types of commodities, such as various varieties of chili peppers. The development process includes sensor calibration, dataset collection, and the training and evaluation of a classification model. Experimental results show that the classification accuracy exceeds 90%, demonstrating the effectiveness of combining weight and color data for market product recognition.

A Research has been conducted on the production of roselle flower fruit leather using stevia as a natural sweetener substitute for sucrose and pectin as a stabilizing agent. This study involved variations in the amount of stevia sweetener (0.2 ml and 0.3 ml) and pectin concentrations (1% and 2% of the ingredient weight). Sensory evaluation of the fruit leather product included parameters such as color, aroma, taste, texture, and overall preference. The sensory test results showed that sample 620 was the best product, with a composition of 0.3 ml stevia sweetener and 2% pectin concentration. This product was characterized by a deep red color, a fresh sour aroma distinctive of roselle, a pliable texture that could be rolled, and a balanced sweet-sour taste that was preferred by the panelists. Nutritional content analysis of the best product, based on laboratory testing, revealed the following per 100g of fruit leather: 105.80 mg of antioxidants, 19.88 mg of vitamin C, 26.55% total sugar, 1.02% ash content, and 21.05% moisture content. Additionally, the selling price of the roselle flower fruit leather product was determined to be IDR 45,000 per 100-gram package.

Introduction: ED (Eating Disorders) is one of the most difficult mental disorders to treat and treat, and the cost is even higher than schizophrenia. Secondary somatic complications due to malnutrition, severe weight loss and low levels of micronutrients. Objective: To determine the effectiveness of a combination of interventions such as Expression Head Massage, Myofacial Release, Neurosenso Komplit, General Massage, Patterning, Play Therapy, Brain Gym, Oral Reflex Stimulation. Method: A single-subject study was conducted on a 22-month-old child with ED. Results: The results of the sensory examination evaluation showed an increase in sensory in the child. Conclusion: A 22-month-old child was diagnosed with Eating Disorder, initially given physiotherapy, the child did not want to eat rice at all, only wanted to drink milk and sometimes the child liked to hit and bite, but after doing routine physiotherapy and home programs, now the child is willing to feed 15 mouthfuls of rice and focus on the child has also begun to exist and the child's balance is increasing.

Unmanned Surface Vessels (USV) have become a major focus in modern maritime technology for mine search and handling. Unmanned vessels are equipped with advanced sensors such as sonar and lidar to detect and map mines below the water's surface. In addition, image processing systems and artificial intelligence are used to analyze sensor data and identify mine locations with high accuracy. Once a mine is detected, the unmanned vessel is equipped with a mine handling system that can safely destroy or deactivate the mine. Thus, unmanned vessels are an effective and efficient solution in searching and handling mines in potentially dangerous waters. This study discusses the selection of unmanned vessels as a solution to search for and neutralize mines. This study was conducted quantitatively using the Analytical Hierarchy Process (AHP) method to determine recommendations for Unmanned Vessels with Mine Countermeasure capabilities to the Indonesian Navy. The results of the quantitative study showed the priority of the criteria that would later narrow down to the priority of selecting an Unmanned Vessel from several alternative choices analyzed by the researcher. Theoretically, all previous theories and studies can be used in this study so that they can be utilized in subsequent studies. While practically this study provides recommendations for the Indonesian Navy regarding the characteristics of the Unmanned Axe and various supporting equipment that can be used to carry out Mining Operations and Mine Countermeasures Operations. The calculation results in this study indicate that the priority of the alternative Unmanned Vessel with the highest Mine Countermeasures capability is obtained by Inspector 125 from France with a weight of 0.37450145.

The importance of innovation in waste management is increasingly felt in this modern era. This research introduces an automated waste handling system utilizing Arduino Uno-based sensors. Arduino Uno, as a versatile microcontroller, is employed to control the automation process in waste bins. Integrated ultrasonic and load cell sensors assist in identifying the presence of individuals disposing of trash and monitoring the weight of the waste, triggering the automatic disposal mechanism. This implementation not only enhances the efficiency of waste management but also provides convenience for sanitation workers. The study details the design, implementation, and performance evaluation of the automated waste bin system, showcasing the potential utilization of Arduino Uno technology in creating intelligent and sustainable solutions for waste management.

The primary focus of this research was to create a Smart Count of Vehicle Loading Prototype for ships, with an emphasis on monitoring and tallying vehicles boarding and disembarking from ships based on their weight. Microcontrollers, such as the ESP32, were utilized for the counting process and to determine if the ship's cargo weight exceeded its maximum capacity. The main objective was to prevent overloading on ships, which could lead to accidents during voyages or while vehicles were being loaded onto the ship. To achieve this goal, weight and distance sensors were installed on the ship and controlled by the microcontroller, allowing for accurate monitoring of the quantity and categories of vehicles being loaded. After designing and testing this prototype device, it has become a new technological innovation that makes monitoring the weight and quantity of cargo on ships easier and more efficient. This is supported by the fact that each sensor's readings can work well with an average error rate below 2%. Additionally, the maximum communication range between the Blynk IoT application and the ship system can reach up to 20 meters.

The increasing population in Indonesia has resulted in increased food needs. One of the factors that affects chicken production is the management of the feeding system. The purpose of this study is to design and create an automatic chicken feeder based on Arduino. Calibrate the Load Cell Sensor. Control the AC motor as a metal screw driver for feeding with a load cell sensor. Determine the amount of chicken feed according to the specified setting point and Connect the MCU Node to the telegram. This study uses the "Research and development" research method. Consisting of literature studies, hardware design, software design, tool design, and data collection, analysis and conclusions. Overall testing was carried out for 2 days starting from 6 am to 4 pm. The capacity of the tank is filled with 3 kg of feed. The setting point for feeding in the morning is 200 grams while in the afternoon it is 300 grams, for feed output there are 2 containers. Testing on the first day at 7 am the weight of the feed coming out of container 1 was 221 grams while in container 2 it was 225 grams, for 4 pm the weight of the feed coming out of container 1 was 352 grams while in container 2 it was 357 grams. Testing on the second day at 7 am the weight of the feed coming out of container 1 was 219 grams while in container 2 it was 221 grams, for 4 pm the weight of the feed coming out of container 1 was 346 grams while in container 2 it was 348 grams. Telegram notification sends a message when the amount of feed remaining is 1405 grams. The results of the weight of the feed coming out are different from the specified setting point value, the amount of feed coming out exceeds the setting point value. This is because the output hole of the feed that comes out through the PVC pipe is too large. An "automatic chicken feed tool based on Arduino" has been successfully created, the tool created is equipped with a load cell sensor that facilitates the process of feeding chickens. Making a system for pouring feed into the hopper automatically by making a conveyor so that it does not need to be done manually. Making automatic chicken feed based on Arduino on a large scale so that it can cover a larger number. Addition of making automatic drinking places on automatic chicken feed based on Arduino.

Snack bars are bar-shaped products that contain carbohydrates and proteins from flour, nuts, dried fruits, and other ingredients that are processed into whole pieces and combined into one ready for consumption. Snack bar innovation with the proportion of grated coconut and tuna pindang. The purpose of this research is to meet the nutritional needs of the community by fulfilling daily protein and can be an entrepreneurial product so that it is necessary to know the organoleptic quality, nutritional content and selling price of the product. The methodology in the research is an experimental approach with quantitative analysis to fulfill the sensory quality and nutritional content of snack bars. The best proportion of snack bars with different proportions of grated coconut and pindang ikan tongkol from the sensory test was obtained from the 50:50 ratio with characteristics of rectangular shape; yellowish brown color with white spots from rengginang; grated coconut and pindang ikan tongkol aroma; crunchy texture; and taste of grated coconut and pindang ikan tongkol. Laboratory analysis of the nutritional content of the best snack bar per 100 grams contained 17.15% protein, 11.55% water content, 1.05% ash, 3.14% fat, 284.10kcal/100g energy, 64.72% carbohydrate, and 2.42% crude fiber. The selling price of snack bars with the proportion of grated coconut and tuna pindang with a percs weight of 15 grams is known to be IDR 3,000.  

This study proposes an approach for human fall classification utilizing a combination of Weighted Moving Average (WMA) and Convolutional Neural Networks (CNN) on the SisFall dataset. Falls among elderly individuals pose a significant public health concern, necessitating effective automated detection systems for timely intervention and assistance. The SisFall dataset, comprising accelerometer data collected during simulated falls and activities of daily living, serves as the basis for training and evaluating the proposed classification system. The proposed method begins by preprocessing accelerometer data using a WMA technique to enhance signal quality and reduce noise. Subsequently, the preprocessed data are fed into a CNN architecture optimized for feature extraction and fall classification. The CNN leverages its ability to automatically learn discriminative features from raw sensor data, enabling robust and accurate classification of fall and non-fall events. Experimental results demonstrate the efficacy of the proposed approach in accurately distinguishing between fall and non-fall activities, achieving high classification performance metrics such as accuracy, precision, recall, and F1-score. Comparative analysis with existing methods showcases the WMA-CNN hybrid approach's superiority in classification accuracy and robustness. Overall, the proposed methodology presents a promising framework for real-time human fall classification using sensor data, offering potential applications in wearable devices, ambient assisted living systems, and healthcare monitoring technologies to enhance safety and well-being among elderly individuals.

The obesity rate among adolescents in Indonesia is increasingly worrying. Obesity in adolescents is affected by a variety of factors, including lifestyle changes that tend to lead to an unhealthy diet and lack of physical activity. To overcome this problem, early prevention efforts are very important, one of which is by measuring Body Mass Index (BMI) as an early indicator of obesity. This research uses a Research and Development (RnD) approach, which aims to develop or improve existing tools to obtain new data and insights into the use of these tools in various contexts. This tool is a development of the previous tool with the HC SR04 sensor to measure height, the Load Cell sensor to measure weight, and the Atmega328p microcontroller to calculate BMI. The main innovation of the tool is the use of a 433 MHz Radio Frequency module that allows wireless communication between height and weight data, increasing the mobility of the tool as it does not require cables and poles as a support. With the result of an error value in the IMT measurement of 1,28%. With an error value of 1.28% in BMI measurements and 93.40% in BMI measurement validity. So from the results of the above percentage, it can be stated that this tool is suitable for use.