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.

This systematic literature review examines queue system simulation in hospitals across four key service areas: emergency departments, outpatient clinics, laboratories, and pharmacies. Following PRISMA methodology, 72 relevant studies (2015-2020) were analyzed to identify simulation models, software tools, performance parameters, and emerging trends. Findings reveal Discrete-Event Simulation dominance (59.7%), with increasing hybrid model adoption integrating System Dynamics and Agent-Based approaches. Emergency departments remain the primary application focus (52.8%), while Arena and AnyLogic emerged as predominant simulation platforms. Patient waiting time (91.7%) and resource utilization (77.8%) constitute the most evaluated performance metrics. Technological convergence trends demonstrate integration of real-time data analytics, machine learning, and digital twin concepts into traditional simulation frameworks. This review contributes methodological insights for optimizing hospital queueing systems while identifying research gaps in cross-departmental model interoperability and comprehensive value-based performance evaluation within contemporary healthcare systems.
 

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.

PLN as an electricity provider that serves all regions in Indonesia certainly always wants to provide the best service to its consumers, including PT. PLN Persero UP3 Gresik. Along with the increase in consumers, the company continues to develop distribution lines, however, because the addition of more and more lines makes the distribution cables longer and the load becomes greater, resulting in voltage drops and power factors decreasing in several feeders, including in the feeder network. LOWAYU, causing poor power quality.This research aims to find and obtain the magnitude of the power flow which includes active power, reactive power, apparent power and the magnitude of the power losses (losses) contained in the LOWAYU feeder network, the magnitude of the voltage and voltage drop on each bus on the network. LOWAYU feeder using the backward-forward method. And determine the value of reactive power required for the capacitor on each bus that experiences a voltage drop. Then a comparison will be made between the results of manual calculations using the backward-forward method and the results of simulation data using ETAP Power Station 19.0.1 software.From this research, it can be seen that the safe limit for the voltage drop value is still below 5% or above 5%, so it is necessary to add capacitor banks to improve the power factor and reduce the voltage drop value on distribution network buses that experience voltage drops.

West Sumatra, situated at the convergence of the Indo-Australian and Eurasian tectonic plates, experiences frequent earthquakes and aftershocks due to the complex geological setting. This study utilizes the Omori-Utsu method, a modified version of Omori’s law by seismologist Tokiji Utsu, to estimate aftershock duration. Data on aftershocks from significant earthquakes (magnitude ?5.5M) between 2021 and 2023 were accessed through the BMKG earthquake catalog. The study finds that aftershock durations vary significantly depending on the earthquake's tectonic origin. The longest recorded aftershock duration occurred after the West Pasaman earthquake on February 22, 2022, lasting 21 days, while the shortest was one day following the Mentawai earthquake on September 11, 2022. These variations highlight the influence of tectonic structures on aftershock activity, with subduction zones exhibiting shorter decay times. This research provides critical insights into earthquake behavior, aiding in disaster preparedness and mitigation strategies for the West Sumatra region.
 
 

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.

This research aims to develop a web-based school management information system that can improve the efficiency of education administration. In today's digital era, many schools face challenges in effective data and information management. This research uses a Systematic Literature Review (SLR) approach to identify and analyze relevant literature related to the development of web-based school management information systems. The results showed that the development of a web-based school management information system is generally able to improve the efficiency and effectiveness of education administration management, starting from data processing of students, teachers, finances, to reporting. The system supports transparency, speed of access and accuracy of information within the school environment. Although the results show consistent benefits, this research still has limitations in the number of sources and a relatively narrow study, so a broader and more in-depth follow-up study is needed.

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.

This research aims to evaluate the level of usability and user satisfaction with the Amikom University Purwokerto student affairs website using the System Usability Scale (SUS) method. This method was chosen because of its simplicity in providing reliable and fast results through a survey based on 10 statements with a Likert scale. The research respondents were active students at Amikom University, Purwokerto, who were selected using a sampling method based on the Slovin formula with a total sample of 97 respondents. Data is collected through an online questionnaire that measures aspects of convenience, satisfaction and system reliability. The analysis results show an average SUS value of 58.85, which is classified in the Marginal Low category based on the interpretation of the SUS scale. These findings indicate that the website has not fully met user expectations in terms of usability, even though it provides relevant features and services. Therefore, improvements are needed in user interface elements, navigation, and design consistency to improve user experience. This research makes an important contribution to the development of information systems in higher education by identifying weaknesses that can be improved to achieve better efficiency and satisfaction.

The use of renewable energy has become an essential solution to reduce dependence on limited fossil energy sources. Solar panels are an environmentally friendly alternative for generating electrical energy. This study develops a solar panel system based on the Internet of Things (IoT) to provide energy for electric water heaters. The system allows for the monitoring and control of energy usage through an IoT-based application, such as Telegram. The solar panels are connected to an ESP32-based controller system, which monitors sunlight intensity and battery charging status. The test results indicate that this system can provide sufficient energy for electric water heaters with optimal efficiency and reduce dependence on conventional energy sources.