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Casavva tape chips made from fermented yellow cassava (tape) and tapioca flour with a focus on the proportion of tape (fermented cassava) and tapioca flour. This study used single anova and duncan test to analyze the differences in sensory characteristics between three different proportions of yellow cassava tape and tapioca. The findings revealed that the combination of 75% fermented yellow cassava(tape) and 25% tapioca flour produced the most preferred shape, characterized by a uniform and attractive appearance, with an average score of 2.80, indicating a round shape with relatively neat edges. In contrast, a higher proportion of tape (85%) produced a softer and less stable dough, which led to a less desirable round shape. In addition, color analysis showed that the same proportion (75% tape and 25% tapioca) also produced the brightest and most attractive color, with an average score of 2.89. These results indicate that adjusting the ratio of tapioca flour can significantly improve the sensory quality of cassava tape chips, making them more attractive to consumers. The study concluded that the inclusion of tapioca flour improved dough stability, resulting in better shaped and colored chips, which could benefit manufacturers aiming to improve product quality.

Fruit jam is a type of preserved food made mainly from fruit, aimed at extending shelf life. It consists of 45% fruit juice and 55% sugar, with a total soluble solid content of at least 65%. Sijentik (Baccaurea polyneura) is an exotic tropical fruit from Lima Puluh Kota region in West Sumatra, which is not well-known and is underutilized by the local community. This research aims to maximize the utilization of this fruit to enhance its economic value and add variety to the types of jam available in the market. The study analyzes the effect of using sijentik fruit juice on the quality of fruit jam (color, aroma, texture, and taste) using a pure experimental method by conducting three (3) trials with four (4) different treatments. The data type is primary data sourced from 30 semi-trained panelists who filled out the organoleptic test format. The technique used is analysis of variance (ANOVA) to analyze the organoleptic test data. The results of this study indicate that there is a significant effect in several categories of sensory tests from the use of sijentik fruit juice on the quality of the jam. There is a significant effect in several categories of sensory tests, namely color, texture, and taste. However, there is no significant effect for aroma.

Technological innovation always follows user needs and current trends that make it easier for users. One of the applications is in the form of an automatic task receiving and safety device. Automatic task receiving and safety device is an innovative solution that utilizes GM66 sensor, ESP32 module, ESP32 Cam, solenoid, limit switch and Automatic Transfer Switch (ATS). The system allows users to collect tasks or documents through an easily accessible Telegram Bot integration. This tool uses a GM66 sensor that functions to read Quick Response (QR) on the learning module, while the ESP32 functions as the central brain managing and transmitting data through a Wi-Fi network. This tool is also equipped with image capture capabilities using the ESP32 Cam Module. In the security section, this tool is equipped with a solenoid that functions as a mechanical lock on the door, while the switch functions to detect the state of the door on the tool and to ensure smooth operation by switching automatically between the main and backup electrical power sources this tool is equipped with an Automatic Transfer Switch (ATS). This innovation is to improve efficiency, security, and accessibility in the collection of tasks or documents. With IoT, users can easily manage their tasks in real-time with a 90% success rate.

The adoption of the Industrial Internet of Things (IIoT) has enabled real-time monitoring of machinery, leading to increased efficiency and reduced downtime. This paper presents an AI-driven predictive maintenance system that utilizes machine learning algorithms to detect potential failures before they occur. Using historical sensor data, the proposed model achieves high accuracy in predicting equipment malfunctions, allowing timely intervention. The study demonstrates the potential of AI in optimizing industrial processes and reducing operational costs.

The adoption of the Industrial Internet of Things (IIoT) has enabled real-time monitoring of machinery, leading to increased efficiency and reduced downtime. This paper presents an AI-driven predictive maintenance system that utilizes machine learning algorithms to detect potential failures before they occur. Using historical sensor data, the proposed model achieves high accuracy in predicting equipment malfunctions, allowing timely intervention. The study demonstrates the potential of AI in optimizing industrial processes and reducing operational costs.

SMK Negeri 3 Jayapura is one of the vocational schools specializing in technology engineering in Jayapura City. There are three primary issues at SMK Negeri 3 Jayapura. First, the limited competence of teachers in microcontroller programming. Second, there is a lack of facilities and infrastructure for microcontroller practical work. Third, the low achievement and interest of students in the latest technological developments. The proposed solutions in this community service activity include: conducting training on Arduino Uno and Espressif microcontrollers using the Arduino IDE programming platform, developing practical modules for microcontrollers, sensors, and actuators, providing a master file for Arduino Uno programs, installing the necessary software on school computers, conducting robotics training for students. All five solutions were successfully implemented and received positive appreciation from both students and teachers at SMK Negeri 3 Jayapura.

Disorders of the human sensory system can significantly impact quality of life, affecting communication skills, mobility, and daily activities. This study analyzes the relationship between sensory system disorders and human health using a descriptive qualitative approach. The method involves collecting data from relevant literature and thematic analysis to understand the causes, impacts, and preventive measures for sensory disorders. The research findings indicate that early detection and appropriate handling are crucial to mitigate negative effects. Public awareness of the importance of maintaining sensory system health also needs to be enhanced through education and collaboration among various stakeholders.

Socks are essential daily wear that require special care, including an effective drying process to prevent unpleasant odors and the growth of bacteria and fungi. Conventional drying methods often face challenges, especially in high-humidity environments or during unfavorable weather conditions. This study aims to design and develop a prototype sock dryer that is more efficient and hygienic. The prototype utilizes a combination of a heater, UV lamp, and humidity and temperature sensors to ensure optimal drying without damaging fabric fibers. A microcontroller-based control system using Arduino Uno is implemented to regulate device operation and monitor sock conditions during drying. Testing results indicate that the device effectively dries cotton socks in damp conditions faster than conventional methods. Additionally, the sterilization feature with a UV lamp helps reduce the risk of microbial growth. This innovation is expected to provide users with a practical, hygienic, and efficient way to dry socks without depending on weather conditions. Further development can be carried out to enhance drying capacity and energy efficiency.

In the digital era, online buying and selling transactions are increasing, so that shipping services have an important role. However, there are various problems in package delivery, such as loss or damage due to the absence of the recipient at the location. This study aims to design and build an IoT-based Smart Box that allows safe package receipt. This system is equipped with a keypad, ultrasonic sensor, load cell sensor, and ESP32-CAM for automatic image capture and sending notifications to users via Telegram. Tests were carried out on various aspects of the system, including sensors, IoT connectivity, and package storage security. The test results show that the tool can function well in securing packages and providing real-time notifications to recipients.

Viscosity is a fluid property that causes friction between fluid-forming molecules and the fluid cohesion force. Viscosity is also a measure of the thickness of a fluid which states the size of friction in the fluid, the size of the viscosity we can see from the ability of the fluid to flow, the greater the viscosity of a fluid it will be more difficult the fluid to flow. Oilis one of the fluids used as oil, where oil viscosity is very important to learn to find out if this oil can still work well. Measurements are made by measuring the speed of oil flow on a horizontal pipe using a flow meter sensor that has been placed on the pipe and the oil will flow using a pump. The oil flow velocity in the measurement will be converted into a form of oil viscosity to be measured. In this experiment the measurement results obtained for each oil such as SAE 10W-40 Oil by 0.170655208 Nm / s2 with an error of 6.4%, SAE 15W-40 Oil by 0.203941381 Nm / s2 with an error of 11.2%., and SAE 20W -50 Oil of 0.218243364 with an error of 14.8%.

Kelembapan dan suhu merupakan faktor yang penting dalam budidaya jamur karena jamur membutuhkan kelembapan dan suhu tertentu untuk tumbuh dengan baik. Aspek lingkungan perlu diperhatikan dalam budidaya jamur adalah selama masa pemeliharaan dan suhu di dalam rumah jamur harus dijaga di kisaran 15-30°C. Suhu di bawah 15°C mengakibatkan tubuh buahnya mengecil dan tangkainya panjang, tetapi kurus. Jika suhunya di atas 30°C, suhu akan menyebabkan payung jadi tipis dan ukurannya kerdil. Kelembapan udara optimum yang dibutuhkan antara 80-90%. Jika kelembapan udara terlalu tinggi, jamur akan cepat membusuk dan jika kelembapan terlalu rendah, jamur akan menjadi kerdil dan kurus. Untuk memonitor tingkat kelembaban dan suhu dalam budidaya jamur tiram dibutuhkan sistem monitoring yang berguna untuk mengetahui kondisi tanaman secara otomatis dan real-time. Internet of Things (IoT) memiliki konsep yang bertujuan untuk memperluas manfaat yang tersambung dalam koneksi internet secara terus-menerus. Penggunaan Internet of Things (IoT) dalam memonitor suhu dan kelembapan dapat membantu efisiensi dan mempercepat pengiriman informasi kelembapan dan suhu udara tempat jamur dibudidaya. Jenis penelitian yang digunakan adalah R&D (Research and Development) dengan jenis model pengembangan prototyping. Hasil penelitian menunjukkan bahwa sistem otomasi dan pemantauan berbasis IoT bekerja dengan baik, dengan tingkat kesalahan pembacaan sensor suhu DHT11 dibandingkan thermometer digital berada di bawah 5% (dengan nilai error antara 0,37% hingga 3,10%). Selain itu, alat dapat mengirimkan notifikasi kepada pengguna ketika suhu atau kelembapan berada di luar rentang yang telah ditentukan, sehingga membantu menjaga kondisi optimal bagi pertumbuhan jamur.

Sinusitis is a health disorder commonly caused by factors such as air pollution, dust exposure, cold air, and smoking. With the rapid development of technology, there are now healing methods that do not rely on conventional medications, such as laser therapy. This research aims to develop a laser therapy clock equipped with sinusitis therapy using Low-Level Laser Therapy (LLLT). The system utilizes Arduino Nano as the main controller, an IR laser for the nose and hand, a DS18B20 temperature sensor to monitor the patient's temperature, and an OLED 0.96V display to show laser intensity and temperature values. This system aims to improve patient interaction with the device, providing a convenient and effective way to perform sinusitis therapy at home. The goal is to create a non-invasive, user-friendly solution for individuals suffering from sinusitis, with the potential to enhance treatment effectiveness, accessibility, and convenience, offering a promising alternative to traditional treatments.

This project aims to design and develop a prototype system based on gesture sensors to monitor visitors and smoke sensors to detect the presence of smoke in designated smoking rooms. The system is designed to enhance comfort, safety, and operational efficiency in multipurpose buildings. Utilizing the Arduino Uno microcontroller, the device is equipped with various components, such as a gesture sensor to detect visitor movements entering and exiting the building, enabling visitor monitoring for resource allocation. Meanwhile, the smoke sensor is designed to identify and monitor smoke concentration in the smoking room to prevent the spread of smoke to other areas.The device also includes additional features, such as an automatic exhaust fan and an LCD display for process monitoring. Test results show that the developed prototype has a high accuracy rate in detecting visitor gestures and can reliably and quickly detect the presence of smoke. This system provides an innovative solution to support smarter, safer, and more eco-friendly management of multipurpose buildings. This research is expected to serve as a foundation for further advancements in the application of sensor technology in public facilities.

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.

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

Neonatal asphyxia is a critical emergency condition in newborns characterized by the failure to initiate or maintain spontaneous and regular breathing, leading to hypoxemia, hypercapnia, and acidosis. One of the primary interventions to manage this condition is positive pressure ventilation using a resuscitation device such as a T-piece resuscitator or Neopuff. The Neopuff device has advantages over manual methods because it can provide stable and controlled Peak Inspiratory Pressure (PIP) and Positive End-Expiratory Pressure (PEEP), thereby reducing the risk of lung injury in newborns. The results show that the Arduino-based Neopuff device is capable of producing PIP pressures between 15–25 cmH₂O and PEEP pressures between 4–6 cmH₂O, which are within the recommended clinical standards for neonatal resuscitation. The pressure sensor successfully detected real-time changes, and pressure adjustment could be performed precisely. Therefore, this device can serve as a simple, affordable, and effective alternative for neonatal resuscitation, with potential for further development through an automatic control system to enhance accuracy and safety

Quantum sensing technologies are revolutionizing precision measurements in electrical engineering by leveraging quantum phenomena to achieve unprecedented accuracy. This paper examines the applications of quantum sensors in electric field detection, biomedical instrumentation, and power grid monitoring. The study explores their ability to enhance sensitivity, minimize noise interference, and improve real-time data acquisition. Through advanced quantum principles, these sensors enable high-resolution diagnostics in medical devices, optimize energy efficiency in smart grids, and enhance electromagnetic field measurements. The findings highlight the transformative potential of quantum sensors in modern engineering applications, paving the way for smarter and more efficient monitoring systems.

The shipping industry faces challenges in reducing environmental impact and increasing operational efficiency. Among them are the expansion tanks on ship engines which play an important role in maintaining the pressure and water quality of the engine cooling system, which is still run manually on some ships. This can result in the risk of engine damage due to overheating or unstable pressure. Manual water filling that requires crew supervision can cause operational instability. This research designed a prototype of an automatic water filling system for expansion tanks, using microcontroller-based automation technology and an Internet of things system to make monitoring easier. This system aims to increase efficiency and reduce the risk of engine damage, thereby supporting the sustainability of ship operations in the future. In the trials that have been carried out, this tool is able to operate the expansion tank filling automatically and efficiently. The distance sensor used has high accuracy with a largest error of 1.6%, and an average error of 0.01%. Integration with the Internet of Things system can run well and reliably with 100% success and latency of 0.5 – 1 second. The system's overall success rate is 80%. So the system can be used in real working conditions

The increasing unpredictability of climate change demands a system capable of automatically detecting rainfall and providing early warnings. This study aims to design and develop a rain detection system based on a water sensor and LED using an Arduino Uno microcontroller. The system operates by detecting water presence on the rain sensor and providing a visual indication through an LED. The research methodology follows a Research and Development (R&D) approach, including literature review, hardware and software design, implementation, and system testing. The test results indicate that the system can accurately detect rainfall and respond to weather changes in real-time. This system has the potential to be applied in various sectors, such as agriculture, transportation, and industry, to mitigate risks caused by sudden rain. Further development can integrate Internet of Things (IoT) technology for remote weather monitoring.

Technological developments in the agricultural sector, especially in the hydroponic method, provide solutions for optimizing plant growth in urban environments. This research integrates ESP32 microcontroller technology with a DS18B20 temperature sensor and TDS sensor to monitor and control temperature and nutrient quality in a hydroponic system. In addition, the Sugeno fuzzy logic method is used for automatic water quality monitoring.