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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.

Tuberculosis (TB) is one of the oldest infectious diseases that has been present throughout human history and remains a significant public health problem worldwide today. Technological developments have enabled TB detection using the GeneXpert® MTB/RIF Molecular Rapid Test (TCM). Fast and accurate laboratory testing is essential in healthcare services. This study aims to analyze the timeliness of sputum sample delivery at the Pangala Community Health Center (UPT Puskesmas Pangala), using a qualitative research design, namely a descriptive type of research by observing sputum samples stored at the Pangala Community Health Center (UPT Puskesmas Pangala) before being sent to the reference laboratory. The sample in this study was 36 samples taken by total sampling. The results showed that there were 29 samples sent within a period of <7 days and 7 samples sent within a period of 8-14 days. This finding proves that there is inaccuracy in sending sputum samples at the Pangala Community Health Center (UPT Puskesmas Pangala). It is hoped that future researchers can touch on aspects of sample quality such as sample volume, sample color, and sample consistency.

Biofloc technology is a super-intensive fish cultivation method, which benefits heterotrophic bacteria to harvest organic chemical compounds and amines from fish metabolic residues to be converted into bacterial proteins. The use of probiotics is very important to be carried out in cultivation activities, Probiotics are living microorganisms that have a beneficial effect on humans by balancing the microflora in their intestines. The bacteria in probiotics have a mechanism in forming several enzymes for feed digestion. This study aims to determine the effect of administering Pro Top probiotics with different doses on the absolute weight growth of tilapia (Oreochromis niloticus). Probiotics are mixed with feed with a biofloc cultivation system. The method used in this study is an experimental method with a Completely Randomized Design (CRD) with 4 treatments and 6 replications, namely by adding different doses to the treatment. Treatment A (0.5 grams / kg), B (1 gram / kg), C (2 grams / kg) and D (5 grams / kg). The parameters observed are absolute weight growth. Supporting parameters for air quality are temperature, pH, and DO. Data were analyzed using the ANOVA test. Based on the results of the study, it shows that administering different doses of Pro Top probiotics has a significant effect on the absolute weight growth of tilapia (Oreochromis niloticus). Treatment A (0.5 grams/kg) gave the lowest absolute weight growth of 31.05 grams and treatment D (5 grams/kg) gave the highest absolute weight growth of 40.30 grams. Air quality parameters including air temperature ranged from 25.3 – 26.1°C, acidity level around 7.5 – 8.0. And dissolved oxygen ranged from 4.7 – 5.3 ppm. The results of the analysis of variance (ANOVA) of the three air quality parameters showed no difference between the treatments of tilapia (Oreochromis niloticus).  

This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

Design and Development of Fire Monitoring System Based on Internet of Things Using Flame Sensor and Smoke Sensor (Case Study at Balai Desa Dlimas). Fire is a disaster that can cause significant losses in both material and human life. Early fire detection is crucial to minimize the potential impact. Balai Desa Dlimas, located in Banyuputih District, Batang Regency, currently lacks an adequate fire detection and monitoring system. Therefore, this study aims to design and implement a fire monitoring system based on the Internet of Things (IoT) using an ESP32 microcontroller, a flame sensor, an MQ-2 smoke sensor, and a DHT22 temperature sensor. The research method used is Research and Development (R&D) with a prototyping model. The system is designed to detect the presence of fire, smoke, and room temperature in real time. Data from the sensors is processed by the ESP32 and sent to the Blynk application to notify users. Warning outputs are also provided through a buzzer and LED lights as on-site alerts. The test results show that the system can detect fire, smoke, and temperature increases with high accuracy. Users can receive real-time notifications via the Blynk application within less than 3 seconds of fire detection. This system is expected to help Balai Desa Dlimas minimize fire risk and can be further developed for implementation across various public facilities.

Catfish farming is one of the fisheries areas with great potential in Indonesia. However, the problem of feed efficiency, use of probiotics, and air temperature control are still the main obstacles that affect the health and growth of fish. This study aims to design and implement an automatic system that can regulate the provision of feed and probiotics and control and control air temperature directly using the ESP32 microcontroller. This system has several important components, such as the ESP32 microcontroller as a control center, servo motors for feed and probiotic distribution, and DS18B20 temperature sensors to monitor air temperature. All components can be controlled and viewed through an IoT-based application with a Wi-Fi connection or applications such as Telegram. This trial aims to determine whether this system can provide feed and probiotics according to the specified time, and maintain air temperature in the optimal range (28°C–40°C) for catfish growth. In this way, the system is expected to increase efficiency in catfish farming automatically, reduce the need for human labor, and minimize errors in pond management.

Wildfires in Los Angeles are a phenomenon that can be analyzed from two main perspectives: science and religion. From a scientific standpoint, these fires are triggered by a combination of natural factors, such as the Santa Ana winds that bring hot and dry air, and climate change, which extends drought periods and increases temperatures. However, human activities, including environmental exploitation, deforestation, and inadequate fire mitigation efforts, have exacerbated the situation. From an Islamic perspective, natural disasters can be seen as tests, warnings, or consequences of human negligence in maintaining environmental balance, as mentioned in the Qur'an (Surah Ar-Rum: 41). This study highlights that wildfires are not merely natural occurrences but also have spiritual dimensions. Islam emphasizes that humans are entrusted as stewards of the earth, responsible for preserving nature rather than passively accepting disasters. Therefore, the best approach to addressing wildfires is to integrate scientific understanding with religious values. Proposed solutions include science-based prevention efforts, such as sustainable forest management and fire mitigation policies, as well as spiritual awareness to appreciate and safeguard nature as a divine trust. By understanding the relationship between science and religion, humanity can take greater responsibility in disaster response and establish a more balanced and sustainable way of life.

The study aims to determine whether there is a partial and simultaneous positive and significant effect between the independent variables, namely work environment (X1) and work motivation (X2), on the dependent variable, which is employee performance (Y). The subject of this research were all employees of the Purworejo Regency Land Office who had ASN status. The sampling method uses non – probability sampling, namely saturated sampling, as many as 53 employees. The result of data analysis show that partially the work environment has a positive effect on employee performance. The work environment which includes lighting, air temperature, noise, use of color, space for movement, ability to work and relationship beetwen employees has a significant impact on employee performance.Apart from that, work motivation alsohas a positive effect on employee performance. Employee work motivation is influenced by various factor such as performance benefits, working conditions, work facilities, work performance and recognition from superiors, all of which have a direct impact on employee performance.

Blood transfusion is a critical medical procedure that requires the blood to be at a temperature close to normal human body temperature, approximately 36– 38°C. Transfusing cold blood can lead to serious complications such as hypothermia, coagulation disorders, and even cardiac arrest. Therefore, a reliable and automated blood warming device is essential to ensure safe transfusions. This study aims to design and modify a Blood Warmer Thawing device based on the Arduino Uno microcontroller as an innovative and cost- effective solution, particularly for healthcare facilities with limited resources. The system integrates a DS18B20 temperature sensor to monitor the temperature of the heating medium in real time, with data displayed on a 20x4 I2C LCD. Users can set the desired temperature via a 4x4 keypad, and the system automatically adjusts the heater performance based on the detected temperature. To enhance safety and operational efficiency, the device is also equipped with a buzzer as a warning indicator when the temperature exceeds the safe threshold, and utilizes a DC motor and cooling fan to maintain proper heat circulation. Test results indicate that the device is capable of maintaining the liquid temperature within the ideal range for blood transfusions, with high stability and fast response to temperature changes. This innovation offers a practical, affordable, and easy-to-implement solution to support effective and safe blood transfusion procedures in various healthcare settings.

Febrile illnesses can be caused by a wide variety of viruses, bacteria, and other pathogenic microbes, and their production originates from outside the body. These substances, known as exogenous pyrogens, can enter the human system through contaminated water, food, or direct human-to-human transmission. Once inside the body, exogenous pyrogens stimulate the immune system by triggering the release of endogenous pyrogens such as cytokines, which in turn act on the hypothalamus to increase body temperature as a defense mechanism. This physiological response, while protective, can also indicate an underlying infection that may need prompt medical treatment. According to the World Health Organization (WHO) in 2020, the number of fever cases worldwide reached approximately 11–20 million people annually, with an estimated 128,000–161,000 deaths each year due to complications from febrile illnesses (Meirita et al., 2024). The global burden of fever varies by region; for example, in the United States, South America, and Western Europe, the incidence of fever is estimated to reach 4–5% of the population. In contrast, several Asian countries report higher prevalence rates, such as Japan with 6–9%, India with 5–10%, and Guam with 14% (Ulum et al., 2024). These statistics highlight the ongoing public health challenge posed by febrile illnesses, emphasizing the need for improved surveillance, prevention strategies, and treatment protocols worldwide.

The DH Building of the Electrical Engineering Study Program at Udayana University faces significant challenges in energy efficiency, as it still relies on conventional electrical systems. User negligence, such as forgetting to switch off lights and air conditioners (AC) after use, often results in unnecessary energy waste and increased operational costs. This issue highlights the urgent need for smart solutions capable of automating energy management, reducing waste caused by human error, and supporting the creation of a more efficient and sustainable campus environment. To address this problem, this study designs and implements a smart building system based on the Internet of Things (IoT). The system employs a NodeMCU ESP32 microcontroller as the main processing unit, integrated with a series of sensors including a DHT22 sensor for monitoring temperature and humidity, an MQ2 sensor for smoke detection, a PIR sensor for motion detection, and a PZEM-004T sensor for monitoring energy consumption. Control of electronic devices such as lights and AC units is carried out both automatically and manually through relay modules connected to the system. All sensor data and control functions are accessed via a web interface developed using the Laravel framework and a MySQL database. The testing results indicate that the designed system was successfully implemented and functions as expected. Sensor testing demonstrated high accuracy compared to standard measuring instruments, while the electronic device control system achieved an average response time of approximately 3.6 seconds, proving its reliability. Overall, the system provides a comprehensive solution for energy consumption monitoring and control, while also enhancing comfort and safety in the DH Building, in line with the goals of energy efficiency and facility modernization.

Malaria is an infectious disease transmitted by infected female Anopheles mosquitoes. This disease is caused by the parasitic Plasmodium protozoa that enter the human bloodstream through mosquito bites. Among the various types of Plasmodium that can infect humans, Plasmodium knowlesi, Plasmodium vivax, Plasmodium ovale, Plasmodium malariae, and Plasmodium falciparum are the most dangerous because they can cause death or serious complications. This case study aims to evaluate the effect of warm compresses on hyperthermia in tropical malaria patients in class I & II rooms of Serui Regional Hospital, Papua on February 18, 2025. The author uses a descriptive research method by conducting observations and observations using a nursing process approach. The results of the study showed that the application of warm compress therapy to hyperthermia combined with pharmacological therapy was effective in overcoming hyperthermia in tropical malaria patients. There was a decrease in body temperature from 39.8 ? to 36.7 ? after implementation for 1 day. Monitoring vital signs and evaluating body temperature regularly is very important to assess the effective ness of the intervention. Conclusion: This study emphasizes the effect of warm compress as a non-pharmacological approach in the management of hyperthermia in tropical malaria patients to reduce body temperature and prevent further complications.  

PT Sinar Semesta is a company engaged in the metal casting industry. In its production process, defects were still found during the period from March 2023 to February 2024. Out of a total production of 4,950 units, there were 1,004 defective units, consisting of 534 units with flow error defects and 470 units with porosity defects. To address this issue, quality control methods such as Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) are necessary to minimize product defects, improve quality, and maintain high standards. Based on the Pareto diagram, the most dominant defect percentages are flow error defects at 53.19% and porosity defects at 46.81%. The control chart shows points beyond the upper control limit (UCL) occurring in April with 148 units, May with 145 units, and October with 149 units, and below the lower control limit (LCL) occurring in August with 35 units, January with 36 units, and February with 32 units. Based on the fault tree analysis, five main factors causing defects were identified: human, machine, raw material, method, and environment. Proposed improvements include operator training, routine machine maintenance, accurate raw material measurement, use of high-quality raw materials, pre-pouring temperature checks, increased supervision, and environmental improvements.

Well water is still one of the main sources of daily water supply for the residents of the Candi Muaro Jambi area. The dependence on well water makes it vital for consumption, cooking, and other domestic activities. However, with the increasing human activity, the development of tourist areas, and environmental changes in the surrounding area, the quality of the well water is at risk of being affected. This study aims to evaluate the feasibility of well water from an environmental and health perspective based on physical, chemical, and biological parameters, referring to the clean water quality standards set by the Ministry of Health of the Republic of Indonesia. The research employs a descriptive quantitative method, with well water samples taken from several points around the residential areas in the Candi Muaro Jambi region. The analyzed parameters include temperature, color, odor, turbidity, pH, nitrate content, metal content (Fe and Mn), and the presence of coliform bacteria. Laboratory test results show that most of the well water samples still meet the established physical and chemical standards, but some wells were found to have coliform levels exceeding the recommended threshold. This condition indicates contamination, most likely from domestic waste, particularly from household sanitation systems that are not ideally located relative to the wells. While the well water in the study area is generally still suitable for daily use, it is recommended that the community performs simple water treatment, such as boiling or filtration, before direct consumption. These measures are crucial to reduce contamination risks and ensure the water's quality for safe consumption and health.

Cassava (Manihot esculenta) is a staple food rich in carbohydrates and widely consumed by people in various regions, especially in tropical regions such as Indonesia. Besides being easy to cultivate, cassava also has a high economic value. However, cassava has a major weakness, namely its perishability after harvest. This damage is often caused by contamination by microorganisms, especially fungi, which can grow rapidly in unhygienic and humid storage conditions. Fungal contamination not only causes odor and reduces sound quality but also has the potential to produce mycotoxins that are harmful to human health. Therefore, identifying the type of fungus growing on cassava is very important. The purpose of this study was to determine the presence and type of fungus growing on cassava through a colony morphology approach and Gram staining using crystal violet. The research method began with dilution of cassava samples, then inoculated into Nutrient Agar (NA) media, incubated for 48 hours at room temperature, and continued with microscopic examination. Staining with crystal violet aims to clarify the morphological structure of the fungus such as hyphae and spores. Observations revealed the growth of characteristic fungal colonies, as well as hyphal and spore structures that readily absorbed crystal violet. This demonstrates that this simple morphological and staining method is quite effective in providing initial insights into fungal identification. This information is expected to form the basis for developing safer and more durable cassava storage methods. Further research is recommended on specific identification using molecular testing. This step will broaden our understanding of the toxicological potential and post-harvest handling of cassava.

Antibiotic resistance (AR) has emerged as a critical global public health concern, particularly due to the spread of antibiotic-resistant bacteria (ARB) and their genes in natural environments. The oceans, which host diverse ecosystems and serve as major food sources, are increasingly affected by ARB pollution, originating from human, agricultural, and industrial activities. Simultaneously, climate change (CC) exacerbates the situation by raising ocean temperatures, lowering pH, and altering marine biodiversity—creating optimal conditions for bacterial survival and gene transfer. This review explores the interconnectedness between ocean pollution and CC and how both factors influence the distribution and persistence of ARB and antibiotic resistance genes (ARGs) in marine ecosystems. Through a systematic literature review of 174 peer-reviewed articles, the study highlights how anthropogenic pollutants—especially antibiotics, heavy metals, and plastics—contribute to resistance emergence. Furthermore, it discusses the transmission pathways from pollution hotspots (e.g., hospitals, agriculture, wastewater) to the oceans. The One Health (OH) strategy is presented as a comprehensive solution to address the environmental, human, and animal health risks posed by antibiotic pollution. This paper serves as a basis for future research into surveillance, mitigation, and policy interventions for controlling AR in marine environments.

Airport security is a vital component in maintaining the stability of air transportation systems. Although scanning technologies and access control systems have significantly advanced, the potential threat posed by internal actors remains an unresolved vulnerability. This study aims to examine the feasibility of integrating artificial intelligence (AI) technologies to detect threat intentions through gesture and body temperature analysis, with a specific focus on the apron zone a highly vulnerable area of the airport. Utilizing a hypothetical scenario based on the Red Team method, this study maps potential breach pathways conducted by individuals with authorized access. The findings suggest that the integration of computer vision, thermal imaging, and behavioral profiling has the potential to identify anomalous behaviors indicative of malicious intent. This research highlights the importance of combining technological approaches with human-centered security strategies to develop a more adaptive and accurate predictive security system.

Technology is now increasingly advanced and developing rapidly. Almost every aspect of human life is now assisted by technology, especially computerized technology. This technology has penetrated almost all aspects of life and significantly increased efficiency in completing work. With the existence of computerized technology, many processes that were previously time-consuming and labor-intensive can now be done more quickly, easily, and efficiently. One example of the application of technology in everyday life is the design of a smart cupboard for storing shallots. This smart cupboard is designed to help shallot farmers and sellers store their agricultural products more efficiently. The working system of this tool is similar to the method of storing shallots in traditional huts, but with more sophisticated technology. This smart cupboard can regulate temperature and humidity automatically, which is very important to maintain the quality of shallots. The optimal temperature for storing shallots is between 25º - 30º C, with air humidity around 50% - 60%. If the temperature or humidity in the cupboard does not match the desired conditions, the system will automatically activate the lights and fans to return the temperature and humidity to the desired level. With this automated control system, shallots can be kept fresh for longer, reducing the damage that typically occurs to shallots due to unstable temperature or humidity. The advantage of this smart cabinet is that it can maintain the quality of shallots for a long time, even when stored in large quantities. This greatly assists farmers and traders in reducing losses due to perishable shallots and increasing the efficiency of shallot storage and distribution.  

Changes in land surface temperature are one of the important indicators in monitoring global environmental change. In the last decade, increasing surface temperatures have become a global concern, as they have the potential to affect ecosystems, air quality, water availability and human health. In addition, increasing land surface temperature also has a direct impact on the urban heat island phenomenon, which can worsen environmental conditions in urban areas. In this context, analyzing periodic changes in land surface temperature is important to understand the patterns and factors that influence these changes. The objectives in conducting this research, namely: Analyzing the land surface temperature, Creating a regional land surface temperature map and Analyzing changes in land surface temperature from the land surface temperature map of Pariaman City in 2015, 2019, and 2023. Based on the results of the analysis of changes in land surface temperature using Landsat 8 OLI/TIRS images in 2015, 2019, and 2023, it was found that there were significant variations in temperature changes in several areas. Landsat 8 image data is processed through several stages, starting from converting Digital Number (DN) values to spectral radians, brightness temperature, to estimating Land Surface Temperature (LST) in Celsius units. The analysis shows that there was a significant increase in land surface temperature during the period, especially in urban and coastal areas. In 2015, the majority of areas had temperatures of 20°C-24°C, while in 2019 it shifted to 24°C-28°C, and in 2023 it was dominated by temperatures of 28°C-32°C and above 32°C. These changes reflect a significant local warming trend, influenced by human activities and land use change. This research is expected to contribute to the understanding of environmental dynamics and support spatial planning that is more adaptive to climate change.

Climate change has had a significant impact on various aspects of life, including air temperature in urban areas such as Medan City. This study aims to analyze changes in air temperature in Medan City during and after the COVID-19 pandemic, especially related to social restriction policies such as PPKM. Temperature data was obtained from UPT BMKG Medan for the period 2020 to 2025 and analyzed using I-MR (Individual-Moving Range), Cusum, and EWMA (Exponentially Weighted Moving Average) methods. The results of the analysis are expected to be able to show significant temperature differences as a result of the decline in human activities during the pandemic as well as the trend of post-pandemic temperature changes. This study is important as a basis for future environmental planning and climate change mitigation policies.