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.
 

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 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.

Improving efficiency and quality in ironing and folding clothes is a primary concern in modern households. This research aims to develop a prototype of an automatic ironing and folding device that enhances productivity while reducing processing time compared to manual methods. Testing was conducted on three types of fabric materials: polyester, cotton, and linen, by comparing time and folding quality between the automatic and manual methods. The results showed that the automatic prototype completed the process in an average of 5 minutes for all fabric types, compared to 8 minutes with the manual method. In terms of folding quality, the automatic prototype demonstrated more consistent results with a high level of neatness across all fabric types. The conclusion of this study is that using the automatic ironing and folding prototype provides significant time efficiency and improves quality compared to the manual method. These findings contribute to the development of more effective and efficient household technologies.
 

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.
 
 

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.

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 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. 

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.

Energy audit is a technique used to obtain the efficiency of a building with a certain method. Continuous research implementation is expected to be able to identify electrical efficiency and the purpose of data analysis is to obtain electrical energy efficiency to calculate the Energy Consumption Intensity (IKE) value in the building. Energy audits can also be carried out at any time or according to a predetermined schedule. Regular monitoring of energy usage is a must to find out the amount of energy used in each part of the operation during a certain period of time. Thus, savings efforts can be made.

In the curcumin compound there are aromatic compounds that have electronic spins on each side of the benzene. In previous research, the concentration of curcumin and H2O as coatings on copper coils could provide physical changes to the characteristics of copper coils, namely increasing the strength of the magnetic field and increasing the electric current in the coil. The fuzzification process can be described using membership variables with concentrations of curcumin and H2O as input, magnetic field strength and current as output. It is known that the greatest concentration of curcumin indicates increased magnetic field strength and electric current. Simulation of the aromatic spin on the curcumin compound as an Op Amp shows that the highest curcumin concentration value results in an increase in the output voltage (Vout).                                                                                                

Digital innovation in the agricultural sector is increasingly becoming an important concern as a solution to increase agricultural efficiency and productivity. This research discusses the comparison between open source technology and commercial technology in the agricultural sector, with the aim of understanding the advantages and challenges of each in the agricultural context in Indonesia. Using a comparative descriptive approach, this research involved 30 farmers who were divided into two groups, namely farmers using open source technology and farmers using commercial technology. Data was collected through interviews, questionnaires and field observations, then analyzed descriptively to describe the use of both types of technology.The research results show that open source technology is more affordable and flexible, but is limited by a lack of technical support and integration with existing agricultural systems. Meanwhile, commercial technology offers more complete technical support and more integrated systems, but high costs are a major obstacle for small farmers. In conclusion, choosing the right technology must take into account local conditions, economic capabilities and existing technical support. This research suggests the importance of policies that support the provision of affordable technology and training accessibility for farmers to maximize the potential of digital transformation in the agricultural sector.

There are various types of cybersecurity threat in the globe, one of which is an insider threat. Because the current vulnerability generates an insider threat, SMEs suffer. In this situation, the company suffers a loss of profit and trust. Because of the speed and intensity of cybersecurity, particularly internal threats, SMEs must conduct regular vulnerability assessments. Insider threats to cyber security are a major issue in today's environment. Insider threats come in a variety of flavours, one of which is the unintended insider threat, or UIsT. This type of threat is a real one, and it is important to understand who and how they can become an insider threat.

The Information System for Participant Data Management in Vocational Training Institutions (LPK) is designed to enhance the efficiency and effectiveness of participant data management at the Department of Manpower in Asahan Regency. This system focuses on managing training participant data, encompassing registration, grouping, and reporting processes. The data management process includes recording participant identities, the type of training attended, training schedules, and evaluation results. The system is designed to streamline administrative workflows, minimize manual errors, and accelerate access to information. Participant data is recorded and stored automatically using a structured format, including details such as participant names, addresses, identification numbers, and training programs attended. This system is developed using web-based technologies, such as HTML and other supporting technologies, to ensure flexibility and ease of access for users. By implementing this system, it is expected that the data management of vocational training participants in LPKs can be conducted more efficiently, accurately, and integratively, thereby supporting the improvement of administrative service quality at the Department of Manpower in Asahan Regency.
Keyword :Information System, Participant Data, Vocational Training Institution, Department of Manpower, Data Management.

Meter management and maintenance play a critical role in ensuring billing accuracy and operational efficiency at PLN, particularly in the Kisaran Branch Office. The manual system currently employed often encounters challenges such as inconsistent data recording, delays in maintenance, and a lack of information transparency. To address these issues, a Meter Maintenance Information System has been designed as an efficient solution for managing measuring instruments.This system is designed to support meter data recording, maintenance schedule monitoring, maintenance history logging, and real- time reporting of meter conditions. Utilizing web-based technology and a centralized database, the system integrates meter data from various locations, facilitating decision- making for technical staff. Implementation results indicate that the Meter Maintenance Information System can improve management efficiency by up to 40%, reduce recording errors, and accelerate the identification process of meter damage. Furthermore, the system supports operational cost efficiency by optimizing maintenance schedules. Thus, this system is expected to serve as a strategic step for PLN to enhance service quality for its customers.
 

Vannamei shrimp (Litopenaeus vannamei) is a high-value export commodity with strong demand in local and international markets. This shrimp species excels due to its adaptability, disease resistance, and delicious taste. However, white feces disease poses a serious threat, affecting the shrimp's digestive system, appetite, and growth. To prevent this, the recirculating aquaculture system (RAS) technology is a crucial innovation. This system maintains water quality and oxygen levels through continuous water and oxygen circulation, ensuring the health and productivity of vannamei shrimp.

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.

Rice pest control is one of the main challenges in the agricultural sector in Indonesia. Pests such as planthoppers, stem borers, and rats can cause significant losses to crop yields. Currently, many farmers have difficulty identifying pest types and how to control them quickly and effectively. Therefore, a technological solution is needed that can detect pests directly and provide recommendations for action. This study aims to design an Android-based application that is able to detect types of rice plant pests using visual images and provide recommendations for handling. This application is designed using digital image processing methods and is supported by a large pest database. This technology is expected to be an efficient and practical solution for farmers. The research method used in developing this application is a qualitative method, involving interviews with farmers, agronomists, and data collection related to pests and their damage patterns. This application utilizes AI-based pattern recognition technology to detect pests through photos taken directly by farmers. The results of the study showed that this application was able to detect several types of major pests with an accuracy of up to 85%. In addition, this application provides recommendations for handling steps based on guidelines from the Ministry of Agriculture. The trial showed that this application can help farmers identify pests faster than manual methods. The main contribution of this research is to create a technology-based solution to agricultural problems in Indonesia, especially in the rice sector. With this application, farmers can increase their yields through early identification and proper pest management. In future implementations, this application will continue to be developed to detect additional pests and expand its database. It is hoped that this application can be an important tool in supporting smart farming in Indonesia.

Optimizing the performance of Linux-based operating systems for IoT applications in the trading sector is an important strategy in improving operational efficiency and competitiveness. This study explores Linux optimization techniques that can be applied to IoT systems to improve the speed, stability, and security of applications in the trading environment. This research method is carried out using descriptive qualitative through interviews, literature studies and observations. This study focuses on resource management and the implementation of advanced security features. Case studies on several real implementations show that by applying optimization techniques, such as process priority settings and routine updates, system performance can be significantly improved. The results of the study show that proper optimization can reduce system latency, increase data output, and strengthen security, which ultimately supports the success of IoT applications in the trading sector.
 
 

Research conducted at CV Multi Teknik Perkasa Palembang indicates that the total installed power for various panels is 18,448 watts, consisting of 448 watts for lighting panels, 5100 watts for induction motor power panels, 9000 watts for cooling panels, and 3900 watts for lamp and socket panels. Further analysis reveals that the power consumption does not exceed the available power. Therefore, the electrical installation at CV Multi Teknik Perkasa Palembang is in good and safe condition for use.

Radar is a tool that functions to determine the whereabouts of objects in the surroundings. A military defense system requires a system for monitoring and handling certain areas (land, sea, air) effectively and efficiently to prevent unwanted presence from entering private areas. This design is expected to increase the defense system's capabilities to make it easier to automatically track and destroy enemies. The laser gun is an actuator that is integrated to shoot enemies detected by radar. The servo motor drives the ultrasonic sensor and the diode laser which moves from 00 to 1800, the ultrasonic sensor is integrated into the servo motor which functions to detect objects by reflecting ultrasonic waves on the object and receiving them back when the waves hit the object, then the 5V diode laser is used as a weapon. will emit a laser beam when directed at an object detected by the servo motor. Processing3 software is used as a graphic programming tool that can display object detection read by the ultrasonic sensor. The results of this research are that the ultrasonic sensor is capable of detecting objects in the range 0-40cm and the servo motor is capable of reaching angles from 00 to 1800. And this system can work effectively during shooting so that it can meet defense needs in dealing with enemies and can work quickly and precisely.
 
 

Information technology is used to process data, including processing, obtaining, compiling, storing, manipulating data in various ways to produce quality information, namely relevant, accurate and timely information used for personal, business and government needs which is an aspect of the strategy for decision-making. The issue of payroll is a complex issue, because this problem does not only involve several rupiahs of an employee who must be paid for his work, but also has broad implications in terms of the wage system, so that processes and attendance are needed, the process of calculating salaries and making reports after all the data has been collected. stored

LP is one of the pharmaceutical companies located in Serang, Banten. The production of the company is tablets, capsules, and syrup. Problems that occur at PT. LP is a product defect that occurs in capsule filling, especially in capsule A. The purpose of this study is to determine the defective products that occur in capsule A and to find out the proposed improvements that will be made to reduce product defects in capsule A. The research methods used are Statistical Process Control (SPC)  and Fuzzy Failure Mode and Effect Analysis (F-FMEA). The population and samples used were defective capsule A during the production process from March 2022 to May 2023, with sampling techniques through production data, observation and interviews. And the results of research using a check sheet show that the percentage of defects reaches 6%, based on the pareto chart, the priority of improvement that needs to be done is for the dominant type of defect, namely  the dented capsule reject reaches 90%, and on the control chart there are still control points that are outside the UCL and LCL. FMEA calculations, the RPN value of the capsule is dented on the head of the capsule or capsule body reaches 384, and the FRPN value is 6.76.

 
 

Advances in computer technology have helped a lot of human work in various fields of life. The speed and accuracy in tidying up, compiling and processing data makes various heavy jobs lighter.

This research aims to develop an efficient battery monitoring system using the ESP8266 module and INA219 sensor. Monitoring the battery condition effectively is crucial in various applications, especially in portable systems or isolated systems where real-time supervision is required. The method used in this research is the utilization of the ESP8266 module as the main microcontroller connected to the INA219 sensor to monitor the battery voltage, current, and power in real-time. The data obtained by the INA219 sensor is transmitted through the WiFi network managed by ESP8266 to a server or monitoring platform accessible to users via Blynk a web-based application or mobile application. The test results show that the system is capable of providing accurate information about the battery condition, including the charge level, usage current, and potential issues such as overcharge or undercharge. The implementation of this system is expected to be applicable in various applications, including renewable energy systems, portable devices, and electric vehicles, to improve battery performance and safety. The INA219 module as a voltage and current sensor found a voltage reading error percentage with a range of 0%-0.66% and an average of 0.18%. For readings at current with an error range of 0.91%-7.57%. For internal resistance readings which are calculated based on dividing the clamp voltage value by the circuit current, an error range of 0.04% -30.36% is found.

The website has undergone several changes since it was first discovered in 1991 by Sir Timothy John Tim Berners-Lee. Initially the purpose of creating a website at that time was to make it easier to exchange and update information to fellow researchers where they worked. Gradually the habits and needs of people in cyberspace are always changing and increasing. This is also in line with the faster internet access and increasingly sophisticated computer technology. (Lucky Alfian, 2015).

In the current era of computers, technology and information systems have become common aspects of daily life. The evolution of information technology, particularly in the use of computers and the internet, is rapid among society. The presence of technology and information systems greatly aids individuals in disseminating and receiving information. Due to its rapid development, technology and information systems are not only a medium for obtaining information but can also be used as tools in the academic world. The attendance of students at SMA Muhammadiyah Waingapu is still done manually or written using paper/books, making it prone to damage and loss. The purpose of this research is to facilitate teachers in retrieving student data so that when teachers need to conduct grade meetings or promotion meetings, it will be easier to collect each student's attendance. This system is built using the extreme programming method with PHP, CSS, Xampp, and MySQL programming languages.

Chronic diseases in humans are very difficult to detect visually, for example glaucoma, hypertension, diabetes, and others. So it takes a lot of time for further medical examination by visiting a health center or hospital. Therefore, this research aims to find a solution combining medical and computer science to classify quickly and precisely. Classifying eye images requires good features and characteristics so that disease images can be classified. This research uses the Deep Learning method, namely Convolutional Neural Network with MobileNet-V3 architecture which can extract features from large resolution images very well. This research resulted in accurate classification of images of chronic diseases Normal, Diabetes, Glucoma, Cataract, Age related macular degeneration, Hypertension, Pathalogical Myopia. uses the MobileNet-V3 architecture, with transfer learning reaching 81%, and loss only 0.4913.

This research implements the Convolutional Neural Network (CNN) method to classify the various types of cat breeds that are common in Indonesia. This research attempts to create an automatic system that can definitely and accurately classify and identify the types of cat breeds that exist in Indonesia using image processing techniques. The data used contains a total of 600 images with each folder containing 200 images. Using this CNN method produces a validation accuracy rate of 54% in the process of classifying cat breeds. Research shows that further developing the image processing process will increase the accuracy value of the resulting system.
 

The remaining food waste in Indonesia reaches around 46.35 million tons, with economic losses reaching 23 million to 48 million tons per year. This condition has led to various campaigns to reduce food waste from people concerned about the problem of food waste. However, the increase in food waste campaigns has yet to be accompanied by a decrease in the volume of food waste in Indonesia. This research aims to determine public sentiment toward food waste campaigns on Instagram social media and determine the accuracy of the methods used in data classification. The method used is the Naïve Bayes Classifier method. The results obtained were from a total of 118 data regarding the food waste campaign; 79% data showed that the public had a positive sentiment, and 21% other data had a negative sentiment. The accuracy results of using sentiment analysis were 78.94%; this shows that the performance of the Naïve Bayes method in classifying data is quite good.

This study analyzes the "NYC TLC Trip Record" dataset for the period January 1, 2023 to January 31, 2023 to understand taxi usage patterns in New York City. The objectives to be achieved in this analysis include: (1) Identify the days and times with the highest demand for taxi services, (2) Identify the boroughs with the highest demand for taxi services. We applied univariate analysis for this analysis. The results show that the day with the highest demand occurs on Tuesday for the densest time occurs in the vulnerable time of 3 pm to 6 pm. The boroughs with the highest taxi demand are Manhattan, Queens, and Brooklyn. This analysis provides the results for NYC TLC to develop a data-driven optimization strategy. This analysis not only helps in identifying demand hotspots but also provides insights for more efficient taxi scheduling and placement. With this analysis, it is expected that more effective pick-up time and location optimization strategies can be developed, thereby improving operational efficiency and customer satisfaction in taxi services in New York City.

As time goes by, the rapid development of technology has brought various conveniences to people's daily activities.  An example of the continuation of technology is microcontrollers and electronic devices that can be connected to the network. One of them is the industrial sector in the PLTS plant at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol which has PV Box generating equipment that requires temperature and humidity control to determine the cause of corrosion that occurs in the PV Box.This study is intended as a solution in monitoring PV Box generating equipment. This technology development uses the Internet of Things (IoT) which combines the physical and virtual worlds. In this research, the method used is the experimental measurement method, making the system created more real and detailed. In research using DHT11 equipment which has the advantage of being able to estimate temperature and humidity. NodeMCU ESP32 as a microcontroller connected to the blynk platform via the internet functions to manage hardware, show evidence of sensors, secure data, depict data, and others. The results of the research on designing a temperature and humidity monitoring system at the 7 Mwp On-Grid PLTS Pt. Infrastructure Terbarukan Cemerlang Sengkol were successfully created and produced positive effects by being monitored using the blynk platform. This research was carried out in real time using a cell phone wherever you are. This research shows that temperature measurements from the DHT11 sensor obtained an average temperature of 31.78%, while the average humidity value was 85.96%, which indicates that the room being measured had high humidity. By considering these two findings, it can be concluded that the cause of corrosion in the room is high humidity and redox reactions from various substances in the environment.

One important technique for understanding and analyzing computer network performance is TCP/IP simulacrum. In this research, we simulate a TCP/IP network using the bus topology as a model. We use the Cisco Packet Tracer simulated network topology builder to create a bus topology and implement the TCP/IP protocol. The simulation results provide more accurate understanding of how the TCP/IP protocol functions within a bus network. We analyze network performance in terms of throughput, latency, and packet loss. The analysis's findings indicate that bus topologies have a certain amount of leeway in network operations, particularly when a collision occurs. However, this simulation offers a valuable tool to improve computer network design and management.
 
 
 

Education is vital for human beings to develop and continue their lives. Although many of the tutor search apps are available, students in Eastern Sumba have difficulty enjoying this service because no private tutor is resident in East Sumba. A private lesson tutor is important for students who need more intensive learning outside of school, especially parents who are busy or do not have the opportunity or knowledge to help their children. The challenge often faced is the difficulty of finding a tutor that suits the needs of the student. The use of profile matching methods can help parents or student guardians find private tutors based on specific needs or preferences, such as subject, level of experience, location, or other criteria. Tutors that meet these criteria will appear as search results. Testing with the System Usability Scale (SUS) showed that the application is qualified for users, as it achieved an average score of 72.62.
 

In an increasingly advanced digital era, it is important to build a positive internet culture based on ethics and citizenship in order to increase public awareness in the digital era.  Values education and digital citizenship play an important role in shaping responsible and positive online behavior.  Through values education, the younger generation can be prepared to become global citizens who are aware of the impact of their online actions.  Ethical and responsible behavior in using digital technology is key in creating a safe and positive online environment.  By building a responsible digital culture, we can reduce the spread of misinformation, hate speech and harmful content, creating a harmonious digital space for all users. Responsible digital citizenship is increasingly important in today’s digital era as technology has become an integral part of  everyday life.  With awareness of the importance of digital citizenship, the younger generation can use technology positively and contribute to the progress of the digital era.  By building a positive internet culture based on ethics and citizenship, we can create an online environment that is inclusive, safe and responsible for all users.

This research aims to design and build a website-based library book e-catalog application at the Fatahillah College Center Foundation. This application is designed to overcome the limitations of the manual system currently used by libraries, increase the efficiency of book information management, and make information access easier for users. The research methods used include descriptive methods, observation, interviews, and system development using the Waterfall model. The research results show that the e-catalog application can manage book, member, and loan transaction data effectively. It is hoped that implementing this application can support literacy activities and increase library operational efficiency.

An Employee Attendance And Data Management System Based On Rfid Technology And Api Communication Has Been Successfully Developed And Tested With Satisfactory Results. The Problem Faced Is The Weakness Of Traditional Attendance Methods Which Are Susceptible To Human Error And Time Consuming, Hampering The Productivity And Effectiveness Of Company Operations. The Aim Of Developing This System Is To Increase Efficiency And Accuracy In Recording Employee Attendance. The Method Used In This Research Is The Waterfall Method, Which Includes The Stages Of Requirements Analysis, System Design, Implementation, Testing And Maintenance. At The Needs Analysis Stage, Identification And Documentation Of The Desired Attendance System Requirements Are Carried Out. The System Design Phase Involves Designing The Hardware And Software Architecture, Including The Use Of Rfid With Components Such As The Esp8266, Buzzer, And Rc522 As Well As Integration With The Server Via Api. Implementation Is Carried Out By Developing Hardware And Software According To The Design That Has Been Created. Testing Is Carried Out On Hardware Components To Ensure Function According To Specifications And Hardware-Software Integration To Ensure Smooth Communication Without Delays Or Loss Of Data. Business Logic Testing Ensures The System Detects Absences And Performs Automatic Salary Deductions According To Company Policy. The Data Export Module Was Developed To Export Attendance, Member, Division And Salary Data To An Excel File With The Appropriate Format. The Results Show That The Hardware Components Function Well, Able To Read And Send Rfid Data To The Server Accurately. Hardware And Software Integration Via Api Runs Smoothly, Enabling Real-Time Two-Way Communication. Business Logic Testing Shows That The System Can Detect Employee Absences And Perform Automatic Salary Deductions With High Accuracy. The Data Export Module Proved Effective, Allowing Users To Export Data To An Excel File In An Easily Accessible Format For Further Analysis Or Reporting. The Conclusion Of This Research Is That The Employee Attendance And Data Management System Based On Rfid And Api Technology Has Been Proven To Increase Efficiency And Accuracy In The Employee Attendance And Attendance Management Process. This System Offers A Modern And Effective Solution Compared To Traditional Attendance Methods, Providing Significant Flexibility And Ease Of Access. The Implementation Of This Technology Makes An Important Contribution In The Field Of Human Resource Management, Optimizing Productivity And Operational Effectiveness Of The Company.

Waste Bank is an institution that plays an important role in waste management. Kedungmaling village is a village located in Mojokerto district, East Java province, Kedungmaling Waste Bank was established in 2019 and its head is the PKK organization of Kedungmaling village. Some research has been conducted with a case study of a Waste Bank to improve the performance of waste banks that still carry out their business processes conventionally. Most previous research focused on making waste bank applications but still used Kotlin programming language and fire base web service as the database. This research uses the React Native framework to create mobile applications and uses the Rest API as a database. The application design uses the SDLC method with a waterfall model. Application testing using black box gets a percentage of 97% of 89 scenarios and Rest API testing assisted by the postman application gets a percentage of 100% of 94 scenarios. With this application, it can help officers in managing waste and facilitate customers in managing their balances.

Gobak sodor is a traditional Indonesian game.  This article is compiled to relate to the application of detection tools in the simulation of the gobak sodor game. The goal is to produce a prototype of a tool that can help facilitate the detection process in the movement of the gobak sodor game. The method used is the RAD (Rapid Application Development) method which has stages, namely requirement planning, design workshop and implementation, data collection techniques, namely literature studies, and documentation. As a result of the implementation of this tool, it will be able to work automatically when there is a player who crosses the line will block the light reaching the LDR. The findings of this device, the existence of an alarm and lights turn on when there are players who cross the barrier line.  This is because a change in resistance in the LDR triggers an alarm system or indicator light to detect movement. If the player's body hits the LDR sensor, then the device will sound.