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This research aims to design and develop a motion detection-based automatic light control system with a light intensity setting feature using IoT technology. The system utilizes a combination of PIR sensor, MOSFET module, and Arduino Uno microcontroller to control lighting based on the presence and position of the user. With an adaptive control algorithm, the lamp can dynamically adjust the lighting intensity to several levels as needed. Test results show that the system successfully reduces energy consumption optimally without reducing user comfort. The implementation of this technology has great potential in supporting energy efficiency in public areas, such as parks, office hallways, and sidewalks.

This study aims to explore the impact of neuromarketing elements such as ambience and sensory marketing, and brand perception on consumer purchase intentions within the Indonesian coffee shop industry. By examining these factors, the research seeks to uncover subconscious drivers that shape consumer behavior and provide actionable insights for coffee shop owners. Utilizing a quantitative approach, data were collected from 194 respondents via purposive sampling, analyzed using regression techniques. Results indicate that ambience, sensory marketing, and brand perception significantly influence purchase intentions, explaining 48% of the variance (R² = 0.480), with brand perception being the most dominant factor (β = 0.525). The findings underscore the importance of creating a positive consumer experience through optimized sensory engagement, inviting atmospheres, and strong brand identity. Managerial implications suggest coffee shop owners should invest in sensory marketing strategies and branding efforts to enhance customer satisfaction, loyalty, and long-term competitiveness in an increasingly saturated market.    

Mobility is one of the major challenges for visually impaired individuals in their daily activities. Visual impairments make it difficult for them to detect obstacles around them, increasing the risk of injury. This study aims to design and develop a smart stick based on ESP32, equipped with an ultrasonic sensor, to assist the mobility of visually impaired people. The system uses ultrasonic sensors to detect the distance of objects and provides early warnings to users through a buzzer, with varying rhythms depending on the proximity of objects. The research methodology includes system design and development of hardware and software, as well as direct testing on visually impaired users. The test results show that the system can detect obstacles with 95% accuracy at distances up to 200 cm, and provide appropriate responses based on the distance of detected objects. In addition, this prototype is energy-efficient, allowing for prolonged use without frequent recharging. This study provides a practical solution to enhance the independence and safety of visually impaired individuals in daily activities, with the potential for further development to improve detection accuracy and user comfort.

Besides being a primary source of protein, fish play a role in the economy of coastal communities and consumption culture in Indonesia. The main issue that needs to be addressed is the lack of public understanding, especially among students, about choosing fresh and high-quality fish. The public does not have adequate knowledge about the sensory quality of fish, such as texture, smell, and color, which are the main indicators of freshness. As a result, consuming low-quality fish can impact health and reduce the nutritional value received. This activity aims to develop students' ability to identify fresh fish based on sensory quality. The approach was carried out through education using PowerPoint media that presents the material visually and interactively. The material includes the characteristics of fresh fish, the importance of choosing quality fish, and a sensory observation guide. The pre-activity test results indicate that the majority of students have minimal understanding in identifying fresh fish. After the presentation of the material, the results indicated an improvement ranging from 5.0 to 68.42%. Students provided positive feedback on the visualizations used in the presentation. This activity successfully raised students' awareness about the importance of the sensory quality of fresh fish for health and daily life.

The goal of the article is to improve the thermal properties and energy efficiency of the walls and facades of the buildings by introducing the phase change material in the bricks. This study focuses on the thermal insulation capabilities of a paraffin-ice bag PCM mixture, aiming to enhance the thermal inertness of the bricks. The paraffin wax exhibits a high latent heat and is chemically stable, while the ice bags, with their low temperatures, serve as effective thermal regulators. They complement each other to address challenges such as the low thermal conductivity of paraffin and the leakage of low phase change transition temperature in paraffin. We made use of two types of paraffin and ice bag PCMs in a 50:50 ratio and embedded them in standard bricks. During the experiment, we coated the brick surfaces with liquid cement to enhance the hydraulic resistance of the PCM. Next, we inserted wires known as packing plugs into the bricks and filled the holes with powders. We also subjected the bricks to heating and cooling in cycles, ensuring the temperatures remained within a specified range. During the experiment, temperature sensors were utilized to capture data concerning thermal performance. The authors reached the conclusion that PCM polymer composite bricks possess a lot of promise such walls are being able to maintain their thermal performance parameters. When PCM-enhanced bricks are utilized, temperature changes were significantly restricted, staying constant during the times of peak heating and cooling. The PCM bricks also displayed efficient absorption and gradual release of energy due to the high energy transfer rates during phase change. This study suggests that PCM polymer composite bricks are cost-effective for the energy performance of buildings.

This study aims to analyze the role of smart technology in achieving sustainable cities through the implementation of the smart city concept. Using a qualitative approach based on library research, the study explores the relationship between smart technology and urban sustainability, encompassing three main pillars: governance, energy efficiency and environmental management, and social inclusivity. The findings reveal that smart technology enhances transparency and efficiency in governance through e-governance and digital applications, fosters multi-stakeholder collaboration via collaborative governance, and improves government responsiveness to public needs. In the environmental aspect, the implementation of smart technologies such as smart grids and smart sensors significantly contributes to more efficient energy management and carbon emission reductions. Moreover, technology-based waste management demonstrates great potential in supporting urban environmental sustainability. On the social dimension, smart technology must ensure inclusivity by addressing vulnerable groups and bridging the digital divide, where digital literacy and community empowerment play a crucial role in creating sustainable social impacts. However, implementation challenges such as infrastructure gaps, limited budgets, and human resource readiness remain barriers that need to be addressed. This study highlights the importance of integrative and collaborative approaches in smart city implementation, alongside strong strategic policy support to maximize the potential of smart technologies in achieving sustainable development. With the right approach, smart cities can serve as a strategic solution to urbanization complexities and improve the quality of life for future generations.

Closed house chicken coop is an innovation from the development of technology in the livestock sector. In closed house chicken coops, many arrangements and adjustments to environmental conditions in the chicken coop are carried out which are expected to increase broiler chicken production. In this study, researchers created a centralized control system on 2 closed house chicken coops to make it easier for broiler chicken entrepreneurs to monitor and control the closed house chicken coops owned by the entrepreneur through one place, without having to go directly to the closed house chicken coop to monitor and control the chicken coop which of course will be quite draining time and energy. This study uses Haiwell Cloud Scada as an interface device connected to the Arduino Nano microcontroller, DHT-22 sensor as a humidity and temperature detector sensor, MQ-135 sensor as an Ammonia gas detector, water level sensor as a reader of the remaining chicken drinking water level, IR sensor as a reader of the remaining chicken food level, DC fan which has 2 functions, namely inlet and exhaust in the chicken coop. Servo motor as a silo damper controller to fill chicken food from the silo to the chicken feeder located in the chicken coop.

The railway doorstop system functions to increase the safety of road users and avoid accidents at crossings. This journal discusses the design and implementation of a train doorstop system using Arduino Uno with supporting components such as servo motors, LED lights, resistors and the HC-SR04 ultrasonic sensor. The simulation aims to automate the process of closing and opening gate latches based on the presence of trains, with results demonstrating the effectiveness of the system in improving safety at crossings.  

The application of Internet of Things (IoT) technology in campus facility management can enhance operational efficiency and effectiveness by monitoring the availability of rooms and equipment in real-time. This study aims to explore the basic concepts and implementation of IoT in managing campus facilities through document analysis. The results show that IoT can assist in managing classrooms and equipment, allowing campus managers to optimize facility usage, reduce wastage, and improve service quality. IoT implementation also facilitates the maintenance and replacement of faulty equipment by utilizing data generated from sensors. However, the main challenges in IoT implementation are related to technological infrastructure and data security, which require special attention to ensure the system operates effectively and securely. Overall, this study concludes that IoT technology provides a solution to improve campus facility management efficiency and supports the creation of a more modern and responsive educational environment.

The unwise use of electrical energy in households can lead to energy wastage and pose risks such as short circuits, which may result in fires. This research developed a Node-Red-based protection system using an ESP8266 microcontroller and a PZEM 004-T sensor to detect voltage, current, and power in real-time. The system automatically disconnects the current when overload conditions are detected, especially on extension cables. Testing was conducted on household devices such as laptop chargers, fans, and soldering irons. Results demonstrate that the system can accurately monitor current and power, maintain electrical stability, and cut off electricity when the load exceeds the safe threshold, thus reducing fire risk. This implementation is expected to enhance household electrical safety and serve as a reference for further development in IoT-based protection systems.

The availability of clean water is essential in daily life and plays an important role in agriculture, industry, and households. Water resource management faces many challenges such as fluctuations that can cause waste and shortages. The purpose of this research is to create a device that can automatically monitor water surface levels. The tool in question is a water level sensor based on Arduino Uno, which consists of a water level sensor and an Arduino Uno microcontroller. The sensor technology on Arduino can effectively monitor water usage directly and is known for its ease of use, flexibility, and sensor compatibility. An efficient water monitoring system provides accurate information about water availability.

Efficient energy use in household appliances has become a primary concern as awareness of environmental sustainability grows. Smart electric stoves with automatic temperature control features offer an innovative solution to enhance energy efficiency while ensuring comfort and safety during use. This study aims to design and develop a smart electric stove system based on a microcontroller with automatic temperature control algorithms. The system employs temperature sensors to detect real-time temperature changes and a Proportional-Integral-Derivative (PID) algorithm to maintain stable temperatures as set by the user. A simple and intuitive user interface is designed to facilitate operation, while the automation feature allows the system to shut off the heating element independently when the temperature exceeds a safe threshold. Test results demonstrate that the designed system can reduce energy consumption by up to 25% compared to conventional electric stoves without automatic controls. Therefore, this research significantly contributes to the development of energy-efficient and safe smart kitchen appliances.

Student attendance monitoring is a crucial aspect in education to ensure that students are present in classes and to minimize the potential for fraud. In this study, we developed an Internet of Things (IoT) system to monitor student attendance on campus using two main technologies: facial recognition and Radio Frequency Identification (RFID). The system utilizes RFID technology to identify students through RFID cards issued to each student, as well as facial recognition sensors for additional verification to enhance accuracy and security. This system is designed to provide convenience, security, and efficiency in the attendance process on campus.

The decline in the quality and quantity of groundwater resources is one of the biggest challenges in natural resource management in many areas. Mapping the potential of groundwater requires technology that can identify and detect the presence of water sources with high accuracy. The purpose of this study is to develop a groundwater detection application using a capacitance-based remote sensing method, which leverages the principle of capacitance changes on the soil surface due to the presence of groundwater. The capacitance sensing method was chosen because it can detect differences in capacitance between water-filled soil and dry soil. In this study, we integrate a capacitive sensor connected to electronic devices into a mobile application to visualize and analyze the data in real-time. This application aims to enable users, such as farmers and researchers, to easily monitor and detect the presence of groundwater sources at various locations with high efficiency.

The growing number of vehicles in major cities has posed significant challenges in parking lot management. Motorists often have difficulty finding empty parking slots quickly, which not only wastes time but also aggravates traffic congestion and increases air pollution. This research develops a Python-based smart parking system by utilizing the OpenCV library to detect the status of parking slots in real-time. The system uses a camera as the main sensor and processes the image using techniques such as grayscale, Gaussian blur, and adaptive threshold to identify the parking slot status, whether empty or occupied, with good accuracy. The parking slot coordinate data is stored in CSV format to ensure efficient data management. Experimental results with video recordings show that the system is able to operate well in various parking conditions. The system proved to be cost-effective and easy to implement, making it an ideal solution for parking managers who want to improve management efficiency without being burdened with high costs. This research offers a practical solution to help motorists and parking managers optimize parking space usage, reduce search time, and minimize negative impacts such as congestion and carbon emissions.

This research focuses on designing and simulating a makeup robot control system with a Human-Robot Interaction (HRI) approach. The main goal is to develop a robot that is not only efficient in applying makeup, but also able to interact directly with users. The design of this robot is designed with attention to anthropomorphism and non-verbal interaction, in order to improve user comfort and experience during the use process. This control system leverages cutting-edge sensor technology, such as facial recognition and expression analysis, to detect user emotions and adjust the robot's response in real-time. The simulation process is carried out using the Robot Operating System (ROS) to develop an algorithm that supports task coordination between robots and humans as well as interactive feedback. The results of the simulation show that the robot is able to recognize the user's emotions and adjust their actions, thus creating a more intuitive and responsive interaction experience. This research has made a significant contribution to the development of robotics technology in the field of beauty, thereby improving the user experience in personal care. The findings also pave the way for further research into more complex human-robot interactions that are responsive to individual needs.

This research is an experiment in making otak-otak cakalang and ear mushroom as a product innovation. This researcher aims to determine; 1) the results of sensory quality including color, aroma, density, taste, and liking; 2) the content of water content, protein, fat, ash and fiber. This research is an experimental research with a factor pattern of comparison of the amount of ear mushrooms and skipjack with 3 treatments, namely (1:5), (1:3), (1:2) with sensory quality assessment by 5 trained panelists and 35 semi trained. Data analysis using Single Anova (one way). The results showed: 1)  The proportion of ear mushroom and skipjack fish affects the aroma, taste, density but has no effect on the color of otak-otak cakalang. Otak-otak cakalang made from skipjack and ear mushrooms produce cream-colored products, savory fish aroma, and have a dense density. Products that are well received by panelists are 100:200 ratio which is the amount of 100 grams of ear mushrooms and 200 grams of tuna and, 2) The nutritional content of otak-otak cakalang shows that it has a content per 100 grams of water content of 28.96%, protein 13.87%, fat 4.51%, ash content 0.31% and fiber 2.35%.

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

Knowledge is the result of understanding or a state of knowing that arises after someone senses a certain object. A mother's attitude is a reaction or response that is still closed from a person to a stimulus or object. This research aims to determine the relationship between mothers' knowledge and attitudes towards sensory-motor development in toddlers in Lambaro Sukon Village, Aceh Besar. This research uses a quantitative approach with a cross-sectional design. The sample was selected using a total sampling technique with a total sample of 73 respondents. This research was conducted from 16th April – 11st July 2024. The data collection technique used a questionnaire with maternal knowledge and attitude questionnaire instruments as well as KPSP. Data analysis techniques use univariate and bivariate tests. The results of data analysis showed that the characteristics of mothers were dominated by mothers with sufficient knowledge who had toddlers with good sensory motor categories (58.1%). Most of the mother's attitude was obtained, namely a good mother's attitude with the child's sensory and motor skills being in the good category (57.8%). The results of hypothesis testing using Chi Square obtained a sig value. calculate mother's knowledge (p= 0.034), and mother's attitude (p= 0.001). Based on the results of the hypothesis test, it was concluded that there was a significant relationship between mothers' knowledge of toddlers' sensory-motor development and there was a significant relationship between mothers' attitudes towards toddlers' sensory-motor development. The suggestion in this research is that this research can provide more information to mothers about children's motor balance, as study material and knowledge that can help for further research activities.

The main objective of the research was to produce a snack bar that is not only delicious but also rich in nutrients, especially those obtained from Chinese betel leaves. The research process involved formulation, sensory testing, and nutritional analysis to ensure that this product meets the nutritional standards required by swimming athletes. The results showed that the Chinese betel leaf-based snack bar innovation was able to improve the nutritional adequacy of swimming athletes 40% better than consuming energy supplements with increased swimming duration in the range of 15 minutes / training session. These findings have implications for improving athletes' nutritional intake, supporting optimal recovery, and ultimately, improving their performance in training and competition.