The alumni information system plays a crucial role in maintaining communication between alumni and educational institutions. Currently, alumni data management at the Information Systems Study Program of UIN Sulthan Thaha Saifuddin Jambi is still conducted manually using Google Forms and WhatsApp groups, leading to difficulties in data recording and updates. Therefore, this research aims to develop a web-based alumni information system to enhance the efficiency of alumni data management, information dissemination, and communication between alumni and the institution. This study employs the Rapid Application Development (RAD) method, which consists of three main stages: requirement planning, system design, and implementation. The system was developed using the CodeIgniter framework and a MySQL database to ensure security and efficiency in alumni data management. The results of testing using the Black Box Testing method indicate that the system functions according to the designed specifications. Additionally, the results of the User Acceptance Testing (UAT) show that 96% the system is well accepted by users as it provides easy access to alumni information, job vacancies, as well as feedback and suggestions. This system is expected to strengthen the relationship between alumni and the institution while offering more effective and structured alumni data management.

In the implementation of a toll road project, sufficient pavement material is needed, so based on the selection of the planned quarry location, one of the mountains or hills that can be taken stone material to support the project is chosen. In carrying out quarry crusher stone operations, it is necessary to provide several heavy equipment to support the work process. So in this journal discussion, the selection of the right tools in the operation of quarry crusher stone is emphasized.

This research aims to analyze the implementation of the village financial management system in an effort to improve the efficiency and transparency of nagari financial management in Harau District, Lima Puluh Kota Regency. The village financial system is an important instrument in the financial governance of village or nagari governments, supporting accountability, efficiency, and transparency. Using a descriptive qualitative approach, this study collects data through in-depth interviews, observation, and documentation studies in five nagari in Harau District. The results show that the implementation of the village financial system has brought significant changes in increasing the efficiency of budget management and the transparency of financial reporting. Several supporting factors for the successful implementation have been identified, including the commitment of nagari leaders, adequate human resource capacity, and support from information technology infrastructure. However, some challenges remain, such as the limited expertise of nagari officials in operating the system and uneven internet connectivity. This research recommends strengthening the capacity of nagari officials through ongoing training, providing adequate information technology infrastructure, and developing a more comprehensive monitoring and evaluation system.

Diabetes Mellitus (DM) and hypertension are non-communicable diseases whose prevalence continues to increase in Indonesia. Purwareja Klampok 1 Health Center faces challenges in providing appropriate diet program services for DM and hypertension patients. This study aims to develop a web-based diet program information system that can help patients organize their daily menus and facilitate medical personnel in monitoring. The development method used is Rapid Application Development (RAD). The implementation results show that this system is able to provide personal diet information and facilitate monitoring of patient diet progress.

The rapid development of information technology has made it easier to access various sources of information, but it has also increased the risk of plagiarism, especially among university students. To maintain academic integrity and the quality of education, plagiarism detection is essential. This study aims to develop a plagiarism detection system using the Knuth-Morris-Pratt (KMP) algorithm combined with the Jaccard Similarity method to measure the similarity between documents. The system is designed to analyze Indonesian-language essay documents in Word (.docx) and PDF (.pdf) formats that do not contain images or tables. The detection process begins with data preprocessing steps, including case folding, tokenizing, stopword removal, and stemming, to enhance efficiency and accuracy. The system is developed using the Python programming language and the Flask framework. Test results show that the system can detect plagiarism with an average accuracy of 98.66%. The level of similarity between documents is then categorized into three levels: Minor, Moderate, and Severe Plagiarism. This system is expected to serve as an effective tool in minimizing plagiarism practices in higher education and supporting the creation of an honest and responsible academic culture.

This study analyzes the role of BNN RI Public Relations in utilizing social media such as Instagram, TikTok, and YouTube to disseminate information on preventing drug abuse. Qualitative methods are used with data collection through active participation, interviews, and literature studies, as well as analysis based on normative, ideal, and factual roles according to Soerjono Soekanto. BNN RI Public Relations actively uses social media according to norms and policies, strives to meet public expectations, and has produced various prevention content. TikTok has proven to be the most effective platform with video statement content that attracts users' attention. However, challenges such as negative feedback and limited resources still need to be overcome. It is recommended that BNN RI Public Relations continue to develop digital communication strategies, expand reach, improve content quality, and strengthen collaboration to optimize drug prevention in Indonesia.
 

The performance evaluation of student organizations (Ormawa) at Politeknik Negeri Bengkalis is an essential part of the end-of-term management assessment, serving as a form of accountability and a basis for future development. The manual process used so far often takes considerable time and is prone to errors. To address this issue, a web-based decision support system was developed using the Multi-Factor Evaluation Process (MFEP) method, which applies a weighting system in the decision-making process. The system was developed using the Rapid Application Development (RAD) approach, enabling a fast and efficient development process through a linear and sequential methodology. The implementation of the MFEP method in the system achieved an accuracy rate of 88.88%, based on a comparison between field data and system processing results.

The coffee shop industry in Indonesia is experiencing rapid growth, including D'Kopikap as one of the businesses facing challenges in managing production and inventory. The main difficulty lies in the uncertainty in predicting the number of sales, which is influenced by various factors such as the type of day (weekdays, weekends, holidays, and promo days) and the time of sale. To overcome this problem, a sales prediction system using multiple linear regression algorithm was developed. System development is carried out using the Rapid Application Development (RAD) approach to accelerate the design and implementation process. The data used in this research is divided into two parts, namely training and test data of 80:20. The results showed that the sales prediction system created was able to provide sales forecasts that could be used to assist production planning and inventory management. Evaluation of the model shows the Root Mean Squared Error (RMSE) value of 22.48, Mean Absolute Percentage Error (MAPE) of 37.18%, and Coefficient of Determination (R²) of 72.26%. These results indicate that the model has good enough predictive ability to be used in operational activities. This research is expected to be the basis for the development of a better sales prediction system in the future.

The computer laboratory at Bengkalis State Polytechnic has an important role in supporting teaching and learning activities, especially in the Informatics Engineering Department. However, the existing web-based laboratory lending system is still limited to basic features, such as data recap and schedules, so it is less than optimal. This study aims to develop a laboratory lending system by adding features for checking availability, inventory lending, and notifications, as well as implementing Continuous Integration (CI) and Continuous Deployment (CD) to automate the application development process. The implementation of CI/CD helps developers detect and fix problems faster, increasing productivity and application quality. The results of the study show that the developed system is more reliable, efficient, and feasible to use to support optimal laboratory management.

Students in higher education are an important target audience for AI education because they need to develop the skills needed to effectively handle AI in their careers. Before we can provide appropriate AI teaching or education to students, data is needed to determine the extent of students' knowledge about AI. The purpose of this study was to determine the level of students' knowledge about AI and what variables could be related to it. The research method used a cross-sectional study design with 132 students and the data were analyzed using the Chi Square test, Mann Whitney, and logistic regression. The results showed that 66.7% of students had high AI knowledge. The results of the bivariate test showed that the independent variable related to the level of AI knowledge in students is the status of AI use. While in the multivariate test, the variables related to the level of AI knowledge are gender and major.