This study aims to develop a color detection application based on microcontrollers as an intelligent solution for visual identification. The application is designed to accurately detect and identify color spectrums using a color sensor integrated with a microcontroller. A project management approach in informatics engineering was applied to ensure the effective design and implementation of the system. A qualitative descriptive method was employed in this research, including data collection through device testing and interviews with potential users. The results demonstrate that the application can recognize colors with high accuracy, making it applicable across various fields such as industry, education, and assistive technology. Supporting factors for the application's success include hardware and software compatibility, while the main challenges involve the impact of light intensity on sensor performance. Further development is recommended to enhance the application’s performance in more diverse operational environments.

A hotel is one of the places needed as lodging facilities. The selection of a hotel is indispensable to the goals and needs of the visitor. In addition, a strategic location and a comfortable atmosphere are also considerations. The lack of information about hotels is one of the problems for visitors when it comes to a city to determine the desired hotel. This study develops a Decision Support System (SPK) to choose the best hotel in Medan City using the Outranking RElation Sorting method on basis of Threshold Exploration (ORESTE). This system is designed to assist visitors in choosing a hotel that meets the desired criteria. The Outranking RElation Sorting method on basis of Threshold Exploration (ORESTE) is used to determine the weight of each attribute and perform alternative ranking of hotels. In this study, the criteria used include the type of hotel, location, facilities, service and price. This system is expected to help visitors in making more precise and objective decisions. The results of the study show that this SPK system can help visitors in choosing the best hotel that suits their needs.

E-commerce is all activities selling goods and services carried out through electronic media. Shrimp Cracker Shop, is a business that operates in the field of selling typical souvenirs. Currently, sales of goods are still carried out manually, namely by buyers coming directly to the shop or by purchasing by telephone. This type of research uses a descriptive method with a qualitative approach. This research provides an accurate description and explanation of the conditions or symptoms faced. The materials used in this research are data obtained from the results of interviews and later the results of the interviews can find out what needs are needed to build a website. System Design Methods in Designing a The system definitely requires modeling so that the results of the system design that you want to achieve can obtain maximum results. What the author uses is Unified Modeling Langue (UML). Which consists of use case diagrams, class diagrams, and activity diagrams. In this research the author uses the Rapid Application Development system development method. The software development method in this research uses the Rapid Application Development (RAD) model system development method. After the design is carried out, the researcher draws conclusions namely the e-commerce design of the Manda Shrimp Cracker Shop was successfully created to help promotion and sales. The results of testing the Blackbox Testing software system were declared successful, and the feasibility test using a Likert scale resulted in a score of 93% (very feasible). Overall, the results were successful and in accordance with what was designed.

Diabetes is one of the diseases that poses a significant global health challenge, with a considerable impact on quality of life and mortality rates. This study examines the use of the Support Vector Machine (SVM) algorithm for diabetes classification through a literature review. SVM was chosen due to its ability to handle imbalanced and complex data. The aim of this study is to assess the effectiveness of SVM compared to other machine learning methods in detecting diabetes. The results of the literature review indicate that SVM achieves higher accuracy than other methods such as Naïve Bayes and Decision Tree, with some studies showing accuracy above 90%. This study is expected to provide deeper insights into the development of machine learning-based diagnostic systems for diabetes.

This research discusses the design of correspondence filing applications at the Subdivision of the Gerindra Faction of the North Sumatra Provincial DPRD. The letter filing system that is still done manually causes various obstacles such as difficulty in finding documents, the risk of damage and loss of physical documents, and inefficiency in archive management. The purpose of this research is to design a computer-based application to optimize the process of filing incoming letters and outgoing letters. The system development method used is waterfall with the stages of needs analysis, system design, implementation, and testing. The application is designed using PHP programming language and MySQL database to store mail data. The results showed that the designed application can facilitate the process of archiving, searching, and managing correspondence digitally and increase work efficiency in the Gerindra Faction Subdivision of the North Sumatra Provincial DPRD. This system is also equipped with a security feature in the form of a user login to maintain document confidentiality.

Currently at UIN Sulthan Thaha Saifuddin Jambi, there is an outreach to find new students for high school and equivalent schools which is carried out every year. The socialization process explains the steps for registering new students. In the future, it is hoped that many prospective students will register to become new students. UIN Sulthan Thaha Saifuddin Jambi. In designing this simulation using the MDLC (Multimedia Development Life Cycle) method, the stages in the MDLC method can make the simulation design in the form of animation complete. This research method provides information using instruments with a qualitative approach. This method collects data provided or obtained from sources, both written and verbal. A qualitative approach is carried out by interviewing sources directly, making direct observations from the field. The beta test results show that the animated simulation video for new student admissions at UIN Sulthan Thaha Saifuddin Jambi obtained an average percentage of 87%. The highest percentage score was 93% for the assessment of the first question regarding sound quality and the fourth question regarding whether the animated simulation video could be played well.

Linux kernel security is a critical aspect of ensuring the integrity and stability of operating systems. Vulnerabilities like Dirty COW (CVE-2016-5195) illustrate how exploitative threats can severely impact systems, particularly those that are not regularly updated. This study analyzes the working mechanism of Dirty COW, its impact, and mitigation strategies based on Linux kernel hardening techniques, including the use of security modules like SELinux and AppArmor, as well as the Address Space Layout Randomization (ASLR) technique. Through attack simulations and mitigation evaluations, the findings emphasize the importance of regularly applying kernel patches to maintain system security. This study aims to provide practical guidance for enhancing Linux kernel resilience against exploitation attacks.

This study aims to utilize QGIS as a spatial analysis tool to map the distribution of divorces based on economic factors and disputes in Surakarta City during the 2020–2023 period. The data used includes spatial data in the form of Surakarta City's administrative map in shapefile format and non-spatial data comprising the number of divorces obtained from BPS Surakarta. Non-spatial data were integrated into spatial data using the "join attribute" feature in QGIS. The analysis process was conducted using classification methods to identify areas with the highest divorce density. The findings reveal that divorces due to economic factors are concentrated in low-income areas, such as Banjarsari and Jebres, while divorces caused by disputes exhibit a more evenly distributed pattern. The thematic maps were then exported into GeoJSON format for implementation on an interactive website accessible to the public and policymakers. This study contributes to the utilization of GIS technology in supporting data-driven decision-making.

Motion detection is an important process in computer vision to analyze activities in videos. This study implements a simple system to detect motion in video files using Python and the OpenCV library. The system works by comparing consecutive frames in a video to detect changes and mark areas that experience motion. The implementation shows satisfactory results on various sample videos. This study provides a solution that is easy to implement and can be used in applications such as video analysis and computer-based monitoring.

PT. Media XYZ is experiencing a high turnover rate of journalists due to a less objective selection process. The assessment carried out by HRD is currently still subjective and inaccurate. This has an impact on the company's performance and the quality of the news produced. Therefore, a decision-making model is needed that can be used as a guideline by HRD in order to overcome the mismatch between journalist qualifications and job requirements by implementing the Profile Matching method in the journalist selection process. This method will help companies select prospective employees who best match the required competency profile. By matching the competency profile of prospective employees with the competency profile of the position, it is expected to improve the quality of selection decisions, reduce the level of errors in recruitment, and improve company performance.