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Postural balance is a crucial aspect of daily life that enables individuals to move with stability and safety. Children with Down Syndrome (DS) often experience balance disorders due to cognitive function limitations that affect their motor abilities. This study aims to explore the relationship between cognitive function and balance in children with DS. Cognitive impairments, including memory deficits, attention difficulties, and executive function challenges, can impact a child's ability to control posture and perform motor activities effectively. Additionally, difficulties in movement coordination and sensorimotor responses contribute to poor balance abilities. Understanding the connection between cognitive function and balance can facilitate the implementation of appropriate interventions, such as physical therapy and cognitive stimulation, to improve the quality of life of children with DS. A holistic approach is essential in supporting the development of children with DS to help them achieve greater independence. Parents and families play a vital role in actively participating in the growth and development of children with DS, ensuring that their cognitive function and balance are maintained and enhanced. Consequently, children with DS can become more independent and socially engaged, enabling them to interact with others and build healthy social relationships. Keywords: Down Syndrome, cognitive function, postural balance, parents, family

Stunting disease describes abnormalities in a child's body caused by impaired physical growth. Research has been carried out on Stunting which produces the causal factors and long-term risks for Stunting sufferers. It is hoped that there will be technology that can detect Stunting growth early on in children, so that it can be treated quickly. Therefore, it is necessary to design a Prototype Stunting Detection System using a Microcontroller Based on Ultrasonic Sensors and Load cells which aims to identify Stunting factors for children in the Posyandu working area of ​​Garut Regency. The methodology used is a Prototype Model and uses a black box testing method. As a result, the existence of this Stunting detection system Prototype contributes to Posyandu officers and children so that they can be detected early so that later prevention can be carried out so that it does not grow until the child is old, so that the percentage of Stunting growth can decrease.

Penggunaan gas LPG sebagai sumber energi utama pada mesin setrika uap di Putra Laundry Ungaran menghadirkan risiko kebocoran gas yang dapatmenyebabkan kebakaran. Untuk mengatasi masalah ini, penelitian ini bertujuanmerancang dan mengimplementasikan sistem pendeteksi kebocoran gas LPG berbasis Internet of Things (IoT). Sistem ini menggunakan mikrokontroler NodeMCU ESP8266 sebagai pusat pengolahan data, sensor gas MQ-6 untuk mendeteksi kebocoran LPG, dan flame sensor untuk mendeteksi keberadaan api. Alarm buzzer dan notifikasi melalui Telegram Bot digunakan sebagai media peringatan dini.. Metode penelitian yang digunakan adalah Research and Development (R&D),  dengan sistem yang mencakup integrasi perangkat keras dan perangkat lunak untuk mendeteksi kebocoran secara real-time. sistem yang dirancang ini dapat mendeteksi kebocoran gas LPG dengan tingkat akurasi yang tinggi dan memberikan peringatan dini secara cepat. Sistem ini Dengan implementasi sistem ini, risiko kebakaran akibat kebocoran gas LPG dapat diminimalkan, sehingga memberikan perlindungan bagi karyawan dan aset bisnis di lingkungan kerja Putra Laundry.

Fruit cultivation plays a crucial role in the agricultural economy, where seed quality significantly impacts productivity. Watering and fertilizing fruit plant seedlings are key aspects of ensuring healthy growth. To meet the demands of modern agriculture, an automated solution has been developed utilizing messaging application-based technology, such as Telegram. This device enables remote control of watering and fertilizing processes via the Telegram bot feature, ensuring precision and convenience. Advantages include time efficiency, optimal fertilization, and precise watering, supported by light sensors and soil moisture sensors to enhance the process. Experimental results show that this technology successfully addresses challenges related to irregular watering and fertilization. Consequently, this automated system has the potential to enhance productivity and efficiency in fruit cultivation.

The human body cannot work properly without water. Therefore, it is essential to conduct testing and monitoring of drinking water quality to ensure its safety and suitability for consumption. This has prompted researchers to develop more efficient systems compared to traditional methods. This study employs a systematic literature review approach by analysing various published articles to identify and evaluate the application of different types of sensors capable of detecting physical and chemical parameters for assessing drinking water quality. The findings indicate that the integration of sensors, microcontrollers, and Internet of Things (IoT) technology can provide accurate data that is accessible in real-time and remote locations. Furthermore, to enhance the reliability of the system, it is necessary to further develop data processing algorithms by applying artificial intelligence (AI) and/or machine learning technique to create smart systems with improved predictive capabilities. The implementation of these technologies is expected to support the Indonesian government’s Sustainable Development Goals (SDGs) by providing safe and affordable access to drinking water for all its citizens.

The Internet of Things (IoT) is a cutting-edge technology that refers to various devices and systems around the world that are interconnected via the internet to share data. This technology involves the use of sensors and communication software to control, connect, and transfer data between devices by utilizing internet networks, enabling performance without direct supervision. In machine-to-machine (M2M) terms, (1) IoT can be defined as a technology that integrates various devices to improve efficiency and convenience; (2) its working method involves automatic connection and communication between devices; and (3) the research objectives are exploratory to understand its benefits. Some of the benefits of IoT include its ability to support people's daily lives through automation and efficiency. (4) Examples of its application can be found in various aspects of life, such as smart homes, healthcare, and transportation. (5) Based on the development history and previous research summarized in this journal, IoT is an advanced technology designed to simplify their daily activities.

This abstract will discuss the three main currents in modernism that emerged in the 17th and 18th centuries, namely Rationalism, Empiricism, and Materialism. These three schools have had a major influence on the development of philosophical and scientific thought in the modern era. Rationalism pioneered by René Descartes emphasized that reason (ratio) is the main source of valid knowledge. Rationalist philosophers argue that truth can be achieved through deductive reasoning and innate ideas that exist in the human mind. They believe that mathematics and logic are ideal models for achieving definite knowledge. Empiricism developed by John Locke and David Hume holds that sensory experience is the main foundation of knowledge. Empiricists reject the concept of innate ideas and assert that the human mind is initially a "tabula rasa" (blank slate) which is then filled in by experience. They developed an inductive method of gaining knowledge through observation and experimentation. Materialism promoted by philosophers such as Thomas Hobbes views that reality is basically material or physical. This school rejects mind-body dualism and assumes that mental phenomena can be explained through material processes. Modern materialism developed in line with advances in science and provided the basis for a mechanistic understanding of nature and humans. These three schools have shaped the modern perspective on knowledge, scientific methods, and the nature of reality. Although each has limitations, their contributions remain relevant in philosophical discussions and contemporary scientific developments.

Pineapple sambal, a traditional dish from Jambi, is known for its spicy and tangy flavors but has a short shelf life due to its high water and acid content. This study analyzes the effect of shelf life on the quality of pineapple sambal (color, aroma, taste, and texture) using a pure experimental method and ANOVA analysis at room temperature (25–30°C) over a period of 1–7 days. The results indicate significant differences in all sensory parameters (p < 0.05). The best quality was observed from the first to the third day, with a significant decline starting on the fourth day. By the fifth day, the fresh aroma shifted to an undesirable sour smell, the texture became mushy, and the color faded due to microbial activity and oxidation. These findings are relevant to the food industry for developing airtight packaging or cold storage solutions. The study concludes that the optimal shelf life of pineapple sambal at room temperature is three days, supporting the preservation of Jambi's culinary heritage and its development into a competitive commercial product.

Fire is one of the incidents that disturbs homeowners because of the fire that will drain property and can claim lives when there is a lack of anticipation and minimal ignorance of the incident, such as when a fire occurs there is no early warning to the homeowner, this is also a cause of fire. The cause of the fire can be caused by a gas leak, electrical short circuit or caused by the community itself. Based on these problems, a solution is needed to create a safety system technology to be applied to the home kitchen, namely the design of an early detection system for fires based on the Internet Of Things (IoT) using ESP8266 which is useful for monitoring kitchen conditions and will automatically send a notification of the kitchen condition if the sensor reads an incident. The Hardware Design uses several tools consisting of ESP8266, Arduino R3. Jumper Cables, Fire Sensors, MQ-2 Gas Sensors, Mini Fans, Mini Water Pumps, Relays, Buzzers. and for the software design using Arduino IDE for system programming and Blynk as an application to display notifications. The designed system will be tested using black box testing which is used to determine whether the designed system will meet the specified parameters or not, and the results of the design state that the system is in accordance with the parameters used.

Bicycles are affordable and healthy, cause zero harm to the environment, require little space on roads and parks, and are not noisy transportation means. However, cyclists face challenges on roads, which may lead to injuries and deaths. For instance, cyclists visibility, speed management, ability to communicate with other road users, backward accidents, and ability to be located in urgent cases. This paper presents performance, tracking, and safety systems from hardware and software point of view. As a result, cyclists monitor their speed to manage; their locations are tracked, and their cycling paths are traced. Also, a rear red light and turn signal LEDs are activated without any physical action from the rider to communicate with other drivers. Moreover, a microwave radar sensor with a range of seven meters is employed to protect the cyclist from backward-approaching vehicles. Finally, three Arduino UNO boards with GPS, GSM modules, MPU-6050, and RCWL-0516 sensors are mounted on a conventional bicycle to provide safer trips.

In the era of agricultural digitalization, dependence on Internet of Things (IoT) technology is increasing, yet supporting infrastructure remains vulnerable to connectivity disruptions. This research aims to develop an alternative protocol for IoT-based agricultural systems that can operate during internet connection failures, focusing on implementing a failsafe mode using NodeMCU ESP8266. The research methodology includes developing a monitoring system using soil moisture sensors and ultrasonic sensors for water level detection, as well as performance evaluation based on decision-making accuracy parameters, mode transition response time, and consistency in water management. Implementation results showed a 40,1% reduction in water consumption compared to traditional irrigation methods. The failsafe mechanism demonstrated sustained operations with 98% reliability in maintaining optimal soil moisture levels during 72-hour offline periods. This research contributes significantly to the development of smart agriculture through a cost-effective and scalable solution, particularly for areas with limited infrastructure that only require basic internet connectivity and minimal maintenance.

Microcontroller-based information systems play a crucial role in enhancing the efficiency and effectiveness of various automation and monitoring applications. However, many manual processes across different fields require time and are prone to errors. This study aims to develop a microcontroller-based information system to automate real-time data collection and monitoring in various applications, such as industry, environment, and smart homes. The method used involved the development of a prototype system designed to integrate sensors and microcontrollers in data processing and automated decision-making. The results showed that this system significantly improved the efficiency, accuracy, and speed of data processing while minimizing human intervention. In conclusion, microcontroller-based information systems offer innovative solutions that can be widely applied across various fields to enhance performance and service quality.

The Arduino microcontroller plays a significant role in automation systems, including temperature control in industrial settings. Its implementation addresses challenges related to accuracy and efficiency in control systems. By applying a temperature control system based on the Arduino microcontroller, the control process becomes more effective and efficient, taking into account parameters such as target temperature, response time, and system stability. This study utilizes the integration of a temperature sensor with an Arduino Uno-based controller to monitor and regulate temperature in real-time. Data from experiments demonstrate high system accuracy in maintaining the target temperature range. These findings support the application of Arduino microcontrollers in improving efficiency and quality in industrial temperature control.  

Microcontrollers play a vital role in managing patient data systems within hospital environments, including at Kisaran General Hospital. A microcontroller-based data management system facilitates the automation of patient data recording and processing in real time, enhancing both accuracy and efficiency. This study aims to analyze the performance of microcontrollers in a patient data system by evaluating parameters such as processing speed, data accuracy, and system stability. The implementation involves an Arduino Uno microcontroller integrated with sensors and data processing software. Experimental results demonstrate the system's ability to process patient data quickly and accurately, contributing to the operational efficiency of the hospital. These findings highlight the potential of microcontroller technology as a modern solution for patient data management in healthcare settings.

Coffee is an agricultural product highly favored by the majority of the Indonesian population. Coffee comes in various types, each with a distinct aroma. Currently, differentiating coffee types relies on conventional methods, using the human nose, which is shubjective and dependent on individual conditions. This approach is less effective. To address this, researcher have developed a machine learning based system using Arduino Mega 2560 as the microcontroller, gas sensor MQ4, MQ7, MQ135, as the aroma detection tools, and the Linear Discriminant Analysis (LDA) algorithm as the classification method. The results of this system can classify 5 types of coffee with an accuracy rate of 90%.

This research focuses on the design and implementation of an automatic parking barrier system using a microcontroller. The objective is to create an efficient and reliable system that automatically controls the parking barrier in response to vehicle detection. The system utilizes an infrared sensor for vehicle detection, which is processed by a microcontroller to control a servo motor for opening and closing the parking barrier. The research method includes simulation using Proteus software followed by physical implementation. Results show that the system operates efficiently with a quick response time of 1-2 seconds for barrier movement. The conclusion is that the system is effective in automating parking barrier control, reducing human error, and improving parking management. Further improvements can be made by enhancing sensor sensitivity and integrating additional technologies.  

This paper presents an IoT-enabled dual-axis solar tracking system that integrates  a Kalman filter and a Proportional-Integral-Derivative (PID) controller to enhance tracking accuracy, energy efficiency, and operational stability. Addressing the ongoing challenge of maxi- mizing photovoltaic (PV) panel output, the proposed system leverages an ESP32 microcontroller and the Blynk platform to provide real-time monitoring, remote parameter adjustments, and flexible connectivity. Light Dependent Resistor (LDR) sensors measure sunlight intensity from multiple directions, while MG90S servo motors dynamically adjust the panel’s azimuth and elevation. The Kalman filter refines noisy sensor data to yield precise sun position estimates, enabling the PID controller to respond quickly and accurately to deviations in panel orientation. Through extensive testing conducted over several days, including both clear and partially cloudy conditions, the system achieved an average Root Mean Square Error (RMSE) as low as 1.2° under clear skies and maintained RMSE below 2.0° even under partial shading. Compared to a fixed-panel baseline, daily energy harvesting improved by approximately 43%. These results confirm that advanced estimation and control algorithms, when combined with IoT functionali- ties, significantly outperform simpler tracking methods and static installations. Furthermore, the low-cost, compact design and user-friendly interface facilitate practical deployment in a range of scenarios, including small-scale and off-grid installations. By ensuring continuous alignment of the PV panel with the sun, the system not only increases overall energy capture but also reduces maintenance requirements through remote oversight. This research thus offers a robust, scalable approach to improving solar energy utilization in diverse and evolving environmental conditions.

This study aims to develop a color detection application based on microcontrollers as an intelligent solution for visual identification. The application is designed to accurately detect and identify color spectrums using a color sensor integrated with a microcontroller. A project management approach in informatics engineering was applied to ensure the effective design and implementation of the system. A qualitative descriptive method was employed in this research, including data collection through device testing and interviews with potential users. The results demonstrate that the application can recognize colors with high accuracy, making it applicable across various fields such as industry, education, and assistive technology. Supporting factors for the application's success include hardware and software compatibility, while the main challenges involve the impact of light intensity on sensor performance. Further development is recommended to enhance the application’s performance in more diverse operational environments.

 This research aims to analyze the effect of storage duration on the quality of flying fish soaked in coconut shell liquid smoke. The main focus of the research includes testing water and phenol content, as well as evaluating the resistance of liquid smoke to sensory qualities, such as taste, aroma and texture of flying fish. The research used liquid smoke with varying concentrations of 0%, 3%, 5% and 7%, with a soaking time of 30 minutes. Data analysis was carried out using SPSS version 26 with the ANOVA test method. The results showed that the addition of liquid smoke with different concentrations had a significant influence on water content, phenol content and organoleptic parameters of flying fish.    

A new snack innovation that is high in albumin and iron content in the form of dumplings uses snakehead fish substitution and the addition of Moringa leaves. The aim of this research was to determine the effect of snakehead fish substitution, the addition of Moringa leaves, the interaction of the two factors on the acceptability of dumplings (color, aroma, taste, texture), as well as the best albumin and iron content of dumplings. This research used an experimental method with a 3x2 factorial design which resulted in 6 treatments. The data collection technique uses a sensory test based on the liking level of 50 untrained panelists. The results of the sensory test data were analyzed using the Two Way Anova Test followed by the Duncan Test to determine significant differences in results, as well as to determine the best dumplings. Based on the results, the acceptability of dumplings only had an effect on texture, and had no effect on color, aroma, taste, either from the substitution of snakehead fish or the addition of Moringa leaves, while the interaction between snakehead fish substitution and the addition of Moringa leaves had no effect on color, aroma, taste and texture. The best dumplings are snakehead fish (100%) and Moringa leaves (20%) with a nutritional value of 4.10 mg albumin and 2.10 mg iron per 100 grams. The conclusion of this research is that substitute snakehead fish dumplings and the addition of Moringa leaves only affect the texture, however, the dumplings can still be consumed by the panelists and are useful for increasing albumin levels and body endurance as well as speeding up wound healing.