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Soil moisture is a crucial factor in agriculture that affects plant growth and crop productivity. In modern agricultural systems, accurate soil moisture monitoring is essential for optimizing water usage and enhancing the efficiency of automatic irrigation systems. This study aims to develop an Internet of Things (IoT)-based soil moisture monitoring system and evaluate the performance of three types of soil moisture sensors: Soil Moisture FC-28, Capacitive Soil Moisture Sensor, and Soil Moisture Hygrometer Module Sensor. The evaluation compares the accuracy and effectiveness of each sensor in measuring soil moisture. The research methodology involves measuring soil moisture in ten different soil samples using the three sensors simultaneously. The system is based on the ESP32 microcontroller, where data from the sensors are processed and displayed on an LCD Liquid Crystal I2C 20x4. Data analysis is conducted using the one-way ANOVA statistical method to determine whether there are significant differences among the measurement results of the three sensors.The results indicate that each sensor exhibits different measurement characteristics based on its working principle. The Soil Moisture FC-28 sensor, which operates on resistance, shows high sensitivity to changes in soil moisture but is susceptible to corrosion. The Capacitive Soil Moisture Sensor is more durable as it does not have direct contact with the soil, yet it requires more precise calibration. Meanwhile, the Soil Moisture Hygrometer Module Sensor provides more stable results under various environmental conditions. The one-way ANOVA analysis reveals no significant differences in the measurement results among the three sensors.

A Baby incubator is one of the right instruments to overcome problems in handling newborn babies. An important parameter to control is the temperature of the baby incubator room. A study has been conducted on the Design of Baby Incubator Temperature Control with a PID System using a DHT22 sensor for the incubator room temperature sensor and a DS18B20 sensor for the baby's skin sensor. The microcontroller used is ATmega328. The temperature is maintained at 36 °C.  There is a heater component to heat the Baby Incubator if the temperature is >36 °C, a blower as a cooler if the temperature is <36 °C.  The temperature condition is displayed on the Nextion 4.3" LCD in real time using touchscreen technology. After being compared with the Incubator Analyzer, the overshoot value on the Incubator Analyzer was 0.74% while on the device made it was 0.20%. While the error value on the Incubator Analyzer was 0.02%, on the device made it was 0.01%. So it can be concluded that the tool operates properly according to what was planed.

The foundations of Western epistemology are profoundly rooted in ancient Greek philosophy. Throughout its historical development, this epistemological tradition has been shaped by rational, secular, and value-neutral modes of thought. It has given rise to dominant paradigms such as rationalism, empiricism, critical philosophy, and intuitionism. While these paradigms differ in their methodologies and approaches to acquiring knowledge, they are all grounded in a shared philosophical outlook that prioritizes human reason and sensory experience. This study investigates the core aspects of Western epistemology, including its historical evolution, defining traits, inherent limitations, and adverse effects. The research adopts a qualitative method based on literature review and philosophical analysis, employing a systematic and reflective approach. Data were gathered from library sources and examined using various analytical tools, including interpretation, induction and deduction, coherence analysis, holistic reasoning, heuristics, and descriptive analysis. The study concludes that Western epistemology is characterized by an overreliance on rational and empirical methods, a dichotomous worldview, anthropocentrism, resistance to spiritual insight, perpetual doubt, secularism, and a dismissal of sacred values. These traits give rise to fundamental weaknesses such as extreme rationalism, a fragmented view of truth and reality, secularist ideology, and the elevation of humanism and existentialism as ultimate values. The impact of Western epistemology extends beyond the West, influencing Islamic intellectual traditions by encouraging secularization, liberalism, and the advancement of scientific disciplines that exclude recognition of divine authority.

The advancement of Internet of Things (IoT) technology has significantly transformed traditional homes into intelligent living environments. This study presents the implementation of a smart home automation system utilizing IoT components to control and monitor household devices remotely. The system integrates NodeMCU ESP8266 microcontrollers, sensors (temperature, motion, light), and actuators (relays for lights, fans, and appliances) which are connected through a Wi-Fi network. A mobile application is developed to enable real-time control and monitoring, enhancing user convenience, energy efficiency, and home security. The system also includes automated scenarios such as turning off lights when no motion is detected or adjusting ventilation based on temperature. Testing results show that the system responds within an average delay of less than 1.5 seconds and maintains stable performance across various network conditions. The findings confirm that IoT-based home automation offers a scalable, cost-effective solution to improve the quality of life and resource management. This study contributes to the development of sustainable and intelligent home systems for modern living.

This study aimed to evaluate the nutritional value of fish brain-brain products using milkfish surimi (Chanos chanos.Forskal) as the base ingredient, with variations in fillers such as tapioca flour, egg white, and Eucheuma cottonii seaweed.  Three formulations were used: (F1) surimi + tapioca starch, (F2) surimi + egg white, and (F3) surimi + Euchema cottonii seaweed. Proximate analyses were conducted to determine the moisture, protein, fat, ash, and carbohydrate content. The results showed that the addition of various fillers had a significant effect (P>0.05) on the value of protein, carbohydrate and water in the brain. While for fat and ash content, there was no significant effect (P<0.05). The average water content ranged from 66.5% to 72%, with the lowest content in the brain-brain added with tapioca flour. The highest protein content was obtained in the P2 treatment (egg white), which was 18.9%, while the treatment with the addition of tapioca flour showed the lowest protein content of 12.8%. Sensory value using Kruskal waliss treatment that gets a high average value is the aroma, taste, and texture of the addition of egg white fillers, while the texture is with the addition of Euschema cottonii seaweed fillers. Egg white significantly increased the protein content. The best formulation based on nutritional content and panellists' liking value was F2 (Surimi + Egg white). This study shows the potential for the development of milkfish-based processed products that are highly nutritious and functional..

Ciramahilir Village in Purwakarta Regency faces a serious problem due to the lack of street lighting, which negatively impacts the safety, comfort, and socio-economic activities of the community. This community service program aimed to improve the quality of life for residents by installing solar-powered street lights at strategic locations within the village. The approach used was Participatory Action Research (PAR), involving the community actively in every stage of the program—from problem identification and planning to implementation and evaluation. The results show that the street lighting intervention had a positive impact on residents' sense of security, increased night-time activities, and strengthened collective awareness to maintain public infrastructure. Additionally, technical training and assistance enhanced the community's capacity to sustain the installed systems. This activity also demonstrated that appropriate renewable energy technology can serve as an effective tool for promoting sustainable social change in rural areas.

Maintaining optimal temperature in server rooms is critical to ensure the reliability and longevity of IT equipment. Overheating can lead to system failure, data loss, and increased maintenance costs. This study presents the design and implementation of an IoT-based temperature monitoring application tailored for server room environments. The system utilizes a DHT22 temperature and humidity sensor connected to an ESP32 microcontroller, which transmits real-time data to a cloud-based dashboard via Wi-Fi. The data is visualized through a web interface that allows administrators to monitor room conditions remotely and receive alerts when temperature thresholds are exceeded. The application was tested in a simulated server room environment over a two-week period. Results demonstrated stable performance with accurate temperature readings and reliable alert delivery. The system's scalability, low cost, and ease of deployment make it a practical solution for data centers, schools, or small businesses. This IoT-based approach offers an efficient and automated method to enhance server room monitoring and improve response time in managing thermal risks.

Di Kota Pasuruan Ikan medai dan udang yang belum dimanfaatkan secara optimal, terutama dalam menghasilkan produk pangan bernilai tambah. Penelitian ini bertujuan untuk mengeksplorasi potensi ikan medai dan udang sebagai bahan baku penyedap rasa alami. Metode yang digunakan meliputi pembuatan bubuk penyedap rasa berbahan ikan medai dan udang kemudian dilakukan analisis sensori untuk mengetahui penerimaan penyedap rasa berbahan ikan medai dan udang. Atribut sesnsori yang diuji meliputi rasa, aroma, warna, dan overall. Analisis data pada uji hedonik dianalisis menggunakan software statistik SPSS Statistic 22. Hasil penelitian menunjukkan untuk atribut rasa yang paling disukai panelis ialah berturut-turut dari sampel yang berbahan dasar udang, kombinasi ikan-udang, dan penyedap rasa berbahan dasar ikan medai dengan nilai 3.25;3.02 dan 2.78, warna bubuk penyedap rasa yang paling disukai panelis ialah berturut-turut dari sampel yang berbahan dasar udang, kombinasi ikan-udang, dan penyedap rasa berbahan dasar ikan  medai dengan nilai 3.25; 2.93; dan 2.80. Sedangkan untuk atribut aroma, yang paling disukai panelis ialah penyedap rasa berbahan ikan medai dan udang, selanjutnya penyedap rasa berbahan udang dan nilai terendah ialah penyedap rasa berbahan ikan medai dengan nilai berturut-turut 3.12;2.83; dan 2.62. Penerimaan secara keseluruhan adalah pada penyedap rasa berbahan udang, kombinasi ikan medai dan udang dan yang terakhir ikan medai dengan nilai berturut-turut 3.38, 3.13 dan 2.90.

The rapid evolution of industrial robotics has been significantly influenced by the integration of computational data and social media, enabling robots to become more adaptive and responsive in collaborative work environments. This study investigates the role of social media and computational data in enhancing the adaptability of industrial robotics through machine learning techniques. By integrating sentiment analysis from social media with sensor data from industrial robots, this study examines how real-time data functions can improve robot decision-making and human-robot collaboration. Experimental results show a 23% increase in operational efficiency, an 89% accuracy rate in social interaction classification, and a 15% reduction in prediction errors. Furthermore, 62% of public sentiment toward adaptive robots is positive, highlighting the growing acceptance despite concerns over the impact of automation on jobs. These findings suggest that leveraging social media and computational data can significantly enhance the adaptability of robots, leading to a more efficient and socially conscious industrial ecosystem.

Background: Structural Health Monitoring plays a critical role in ensuring the safety, reliability, and sustainability of high performance composite structures used in aerospace, civil infrastructure, and mechanical systems. Conventional externally mounted sensors often face challenges related to environmental interference, maintenance complexity, and long term stability. Objective: This study aims to develop and validate an integrated smart composite monitoring system with embedded sensing capabilities that enhances damage detection accuracy and operational durability under varying mechanical stress conditions. Method: Smart composite specimens were fabricated by embedding fiber optic and piezoelectric sensors within fiber reinforced polymer laminates, followed by tensile, fatigue, and vibration testing. Signal processing techniques including time frequency analysis were applied to extract damage sensitive features, which were then classified using machine learning algorithms to distinguish healthy and damaged structural states. Results: The experimental findings demonstrate high damage detection capability, stable sensor performance under cyclic loading, improved reliability compared to conventional monitoring approaches, and consistent monitoring accuracy throughout the fatigue life of the specimens. The integration of embedded sensing and data driven analytics significantly enhances structural response interpretation and supports predictive maintenance strategies.

The common issue faced by newborn babies is their difficulty in regulating body temperature with their environment. This often leads to hypothermia, which is a significant cause of mortality in newborns. Therefore, biomedical equipment that can regulate temperature in the newborn environment is crucial. In the design and development research of an Infant Warmer Temperature Control System using the PID method, key components include the Atmega328P microcontroller, a Skin Sensor for monitoring baby body temperature, and an SSR driver circuit for heater control. The PID control method utilizes feedback mechanisms to correct errors between measured values and their deviations.To ascertain accuracy, functional testing was conducted using an Incubator Analyzer. The comparison between the skin sensor and the Incubator Analyzer showed minimal differences, with the largest difference being 0.15℃ and the smallest 0.01℃. It can be concluded that the skin sensor readings are accurate within tolerance limits. The maximum error percentage of the device was 0.2%, while the minimum error percentage was 0%. Based on these findings, it is concluded that the PID method Infant Warmer temperature control system designed functions effectively, manages overshoot well, and maintains stability.

The knee is the largest joint in the human body. Like other joints, the knee consists of several structures, such as muscle cartilage, ligaments, tendons, and nerves. Almost all leg movements depend on the knee joint. Therefore, the Knee Brace or Health Knee Brace is a tool designed to provide stability support and reduce knee pain. The purpose of this study was to design and build an Arduino-based knee pain therapy tool and to test the safety and effectiveness of the tool in reducing knee pain. This tool is designed using Arduino Mega as a microcontroller, using a DS18b20 sensor that functions as a temperature reader on the Knee support which has a heater pad as a heat generator, a Vibration Motor as a vibration effect giver on the tool and a 2.4 TFT LCD Touch Screen as a display and a 12V adapter on this tool. According to the analysis of the tool made by the researcher, based on the results of the function and performance tests, the Arduino-based Knee Pain Therapy tool can function properly and safely.

Bridge infrastructure is a vital component of transportation systems that is vulnerable to structural damage caused by dynamic loads, environmental factors, and aging. Early crack detection is crucial to prevent structural failures that may lead to catastrophic consequences. This study aims to develop a non-destructive detection method based on acoustic sensors to identify cracks in bridge structures with higher sensitivity and accuracy compared to conventional visual inspections. The research was conducted through laboratory experiments and field tests using acoustic sensors, data acquisition devices, and signal analysis software. The procedure included sensor installation on a bridge model, simulation of artificial cracks with varying sizes and positions, recording of acoustic wave signals, and data analysis using frequency spectrum, amplitude, and waveform pattern approaches. The results show significant differences between normal and cracked conditions in the frequency spectrum, where cracks produced amplitude anomalies at specific frequencies. Amplitude analysis revealed a positive correlation between crack size and acoustic signal intensity, while waveform pattern analysis demonstrated the influence of crack position on distortion levels. Cracks located at the center generated the highest distortion, followed by joints and edges. These findings confirm that acoustic sensors, particularly fiber-optic-based ones, offer advantages such as high sensitivity, reliability under complex environmental conditions, and the ability to detect subsurface cracks. The implications of this research highlight the potential development of an acoustic sensor-based structural health monitoring system integrated with real-time analysis software, thereby supporting preventive maintenance, extending infrastructure lifespan, and enhancing transportation safety.

Banana blossoms are a part of banana plants (Musa paradisiaca) that are often underutilized and considered agricultural waste. However, banana blossoms have significant potential as an alternative food source with high nutritional value. This study aims to analyze the nutritional content of banana blossoms, develop optimal processing methods, and evaluate their economic potential. The methods used include laboratory experimental approaches for proximate analysis, organoleptic tests for sensory evaluation, and cost analysis calculations for economic assessment.The research findings indicate that banana blossoms contain high fiber (5.7 g/100g), moderate protein (1.6 g/100g), low fat (0.3 g/100g), and are rich in calcium (50 mg/100g), potassium (553 mg/100g), and antioxidants. The optimal processing method was a combination of initial boiling followed by stir-frying, which preserved 87% of the nutrients and produced the best sensory profile. Product development, including banana blossom floss, chips, and flour, demonstrated high consumer acceptance (>70%) with a profit margin ranging from 35-55%.This study concludes that banana blossoms have great potential as a sustainable alternative food source with high nutritional value and promising economic prospects. Utilizing banana blossoms can contribute to food security, the diversification of functional food products, and the empowerment of community-based economic development. Therefore, further efforts to enhance the utilization of banana blossoms should be encouraged to support the sustainability of the food and economic sectors.

This study aimed to evaluate the effect of substituting vinegar with pomegranate juice (PJ) on the physicochemical characteristics, sensory quality, and antioxidant activity of mayonnaise. The mayonnaise was formulated into five treatments with varying concentrations of vinegar and PJ. The analyzed parameters included pH, color (L*, a*, b*), viscosity, emulsion stability, and sensory attributes (taste, aroma, color, texture, and preference), while antioxidant activity was assessed in the best formulation. The results showed that increasing the PJ substitution significantly improved viscosity and emulsion stability, decreased lightness (L*), and enhanced the red hue (a*). The P4 formulation (containing 2.75% PJ) demonstrated the best overall performance, with high viscosity, excellent emulsion stability, and also receiving high sensory scores. Antioxidant analysis revealed that P4 had higher antioxidant activity compared to the control (P0). Therefore, PJ has the potential to serve as a natural alternative to vinegar in mayonnaise production while enhancing the product's stability and functional value.

The livestock industry plays a strategic role in providing animal-based food, yet it continues to face challenges related to efficiency and sustainability. Issues such as land limitations, animal diseases, and feed price fluctuations demand innovative production systems. One emerging solution is digital livestock farming, which integrates information and communication technologies into livestock management. This study aims to examine the role of digital livestock farming in improving production efficiency through a literature review of scientific sources published between 2017 and 2024. Literature was gathered from electronic databases and analyzed using a descriptive-qualitative approach with thematic analysis. The findings reveal that technologies such as the Internet of Things, biometric sensors, big data, and artificial intelligence enhance feed efficiency, animal health, reproduction, and labor management. Moreover, these technologies improve animal welfare and reduce environmental impact. However, challenges such as low digital literacy, limited infrastructure, and insufficient policy support hinder implementation, especially in developing countries. This review highlights the need for cross-sector collaboration to support sustainable digital livestock adoption.

Herbal Tea Bag Product Made from Chinese Betel Leaf with Combination of Lemongrass and Cardamom. This research aims to: 1) investigate the organoleptic properties of herbal tea bags made from Chinese betel leaf combined with lemongrass and cardamom, and 2) assess the sensory quality of the product through hedonic testing. This experimental study employed an observational method using a sensory evaluation panel consisting of 35 members (5 experts and 30 semi-trained panelists). Data were collected using a questionnaire. The independent variables were the proportion of Chinese betel leaf (2g, 4g, and 6g) and the addition of lemongrass and cardamom (2g) with temperature variations (40°C and 60°C) for 4 hours. The dependent variables were the sensory qualities, including shape, color, aroma, taste, and texture. The control variables included the type of materials, equipment, and processing techniques. Data analysis was performed using two-way anava and Duncan's multiple range test. The results showed that: 1) the proportion of Chinese betel leaf affected the shape and taste, 2) the drying temperature affected the color, taste, and texture, and 3) there was no interaction between the proportion of Chinese betel leaf and the addition of lemongrass and cardamom on the sensory quality of the herbal tea bags.

This study aims to design a smart home system leveraging the Internet of Things (IoT) concept by utilizing the Wemos D1 microcontroller combined with fuzzy logic to improve home energy management and safety. The hardware development process involves integrating a PIR sensor for motion detection, a DHT11 sensor for measuring temperature and humidity, and actuators including relays for lighting and a solenoid lock for doors. The system is operated remotely using the Blynk platform and supports notification alerts through Telegram. Testing results confirm that the prototype is capable of controlling devices, tracking environmental data in real time, and effectively sending alerts when movement is detected. Overall, the system presents a practical, responsive, and user-friendly smart home solution that enhances user convenience and household security.

The demand for chocolate continues to increase along with high public consumption. One of the main components in chocolate formulation is fat, which generally comes from cocoa butter. However, the availability of cocoa butter is limited and the price is relatively high, so a more economical and easily obtained substitute material is needed locally to support the sustainability of the chocolate industry. This study aims to examine the potential of palm oil fractions, especially palm stearin and olein, as a partial substitute for cocoa butter (Cocoa Butter Substitute/CBS) in chocolate formulations. The study was conducted through a literature review of scientific journals published in the last 10 years, which included chemical, physical, and sensory analysis data on palm oil-based chocolate products. The results of the study showed that stearin increased the melting point and firmness of the product, while olein produced a softer texture and a smoother melting sensation. Sensorially, olein-based formulations showed a higher level of acceptance than stearin, especially in color, aroma, taste, and texture attributes. In addition, palm oil fractions do not produce trans fats, and are able to maintain the balance of solid and liquid fats, while supporting the stability of the product emulsion. This study shows that palm oil fractions, especially through the right combination of stearin and olein, have great potential as a substitute for cocoa butter without reducing physical or sensory quality, thus supporting the sustainability of chocolate production in the future.

This study aims to strengthen industrialization in the livestock sector to increase productivity and investment at the district and city levels. The use of modern technologies, such as digital livestock management systems, sensor-based animal health monitoring, and automated feeding systems, has increased in recent years in response to the need for efficiency and improved production outcomes. Data were collected from various livestock units, ranging from small-scale to large-scale farms, through surveys and observations over a two-year period. The analysis results show a significant positive relationship between the level of investment in livestock technology and productivity improvements, both in terms of livestock population growth and production outputs (meat, milk, eggs). Higher investment in technology tends to result in better operational efficiency, lower animal mortality rates, and improved product quality. These findings indicate that accelerating the adoption of technology in the livestock industry can be an effective strategy to enhance the competitiveness and sustainability of the national livestock sector.