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.