This study aims to determine the effect of lecturers' teaching styles on student achievement at Stella Maris University, Sumba. The research method used is quantitative with a survey approach through questionnaires and observations. Lecturers' teaching styles are categorized into four types, namely facilitator, demonstrator, delegator, and authoritarian styles. The results of the observation show that the facilitator style is the most dominant style used (45%), followed by demonstrator (35%), delegator (15%), and authoritarian (5%). Data analysis using simple linear regression shows an R Square value of 0.468, which means that the lecturer's teaching style explains 46.8% of the variation in student achievement. In addition, a significance value of 0.000 (<0.05) is obtained, which indicates that there is a significant influence between the lecturer's teaching style and student achievement. This finding confirms that the application of the right and participatory teaching style can improve student learning outcomes.

Food allergies are medical conditions caused by particular immunological reactions brought on by exposure to certain foods. All age groups can experience food allergies, albeit the prevalence varies between children and adults, with children experiencing this condition more frequently than adults. Find food ingredients or substances that can trigger allergies, often known as allergens. This project attempts to determine whether or not the food includes allergies by applying the SVM data mining method to a public dataset of food goods and allergens that was acquired via Kaggle. High accuracy, effective memory use, and the ability to handle non-normally distributed data are some of the benefits of the SVM method. Data collection is the first step in the research process. Data pre-processing, which includes data transformation, handling missing values, and copy objects, comes next. Validation comes next. Split validation with 90% training data and 10% testing data, 10-fold cross validation, and split validation with an 80%–20% ratio were all compared in this study. The SVM method is applied after the dataset has passed validation, and the confusion matrix is used for the last evaluation step. SVM has an accuracy rate of 97.24% when using 10-fold cross validation, according to the accuracy value produced by the validation process comparison. Split validation yields an accuracy value of 97.50% when the ratio of training data to testing data is 90% to 10%. In contrast, an accuracy rate of 98.75% was achieved by using split validation with a ratio of 80% and 20%.

TVRI Jakarta has a daily program called Jendela Negeri, which airs every morning. The purpose of the Jendela Negeri program is to provide information and understanding about various aspects of Indonesia, thus offering benefits and inspiration to the viewers. The appeal and success of this program are closely linked to the role of the presenter, who has a unique way of delivering information. The presenter hosts the show in a relaxed manner using effective and proper speaking techniques. This study aims to determine the application of the presenter’s speaking techniques and the factors that hinder and support the presenter in conducting the broadcast of the Jendela Negeri program on TVRI Jakarta. This research uses the Presenter Speaking Techniques Theory. It is a qualitative study with a descriptive method. Data collection techniques include in-depth interviews, documentation, and direct observation at TVRI Jakarta. The results indicate that the speaking techniques used by the presenter of the Jendela Negeri program at TVRI Jakarta include seven aspects: tonal range, volume, tempo, rate of delivery, articulation and pronunciation, and diction. The study also identified several obstacles during the broadcast, including technical and non-technical issues such as malfunctioning equipment and inadequate presenter preparation.

Image is the main goal as well as the achievement to be achieved in the world of public relations. Therefore, Kemenparekraf created the #AdaApaDiSini campaign using Instagram social media. The #AdaApaDiSini campaign contains messages about places, nature, and culture in an Indonesian tourism area to be seen by the public. The purpose of this study is to determine the #AdaApaDiSini campaign message on Instagram @Kemenparekraf.ri, the image of Kemenparekraf regarding the #AdaApaDiSini campaign message and to determine whether or not there is an influence of the #AdaApaDiSini campaign message on the image of Kemenparekraf itself. The theory used in this research is the campaign message theory which has the dimensions of message structure, message content, framing, language, and emotional appeal (Perloff, 2017). This research also uses image theory which has dimensions of perception, cognition, motives, and attitudes (Soemirat & Ardianto, 2017). The method used in this research is a quantitative approach with a survey method and simple random sampling technique by distributing questionnaires in the form of google forms to 98 respondents selected according to the characteristics of the study. From the results of calculations and data using the SPSS 25 application, the #AdaApaDiSini campaign message affects the image of Kemenparekraf by 34.7%.

Computer-based Accounting Information Systems (AIS) have become a vital element in managing organizational finances in the digital era. To explore the role and benefits of computer-based AIS in increasing efficiency, accuracy and transparency of financial reports. By integrating information technology in the accounting process, AIS enables real-time data collection, processing and analysis, thereby supporting faster and data-based decision making, while also identifying challenges faced in implementing AIS, such as user training needs and issues. data security. That computer-based AIS not only speeds up transaction recording and information management, but also increases collaboration between departments and allows for more accurate and timely reporting. Therefore, computer-based AIS has proven to be an important strategic tool for organizations to improve financial performance and competitiveness in increasingly competitive markets.

A Decision Support System is a system designed with the capability to solve problems, particularly in decision-making. One example is making decisions regarding the recruitment of prospective employees or crew members for a company. In this research case study, the Decision Support System will be implemented to assist in recruiting crew members for Wedding Organizer Rahwana. A Wedding Organizer is a service-oriented business that plans and manages all aspects of a wedding event. In this case, Rahwana WO is still facing difficulties in selecting potential crew members. The implemented Decision Support System will use the MOORA method, a multi-objective optimization technique that has been successfully applied to solving various complex decision-making problems. The system’s performance was evaluated using the SUS method, and the implementation of this approach for Rahwana WO’s crew selection received a good rating, categorized as GOOD, with a score of 78.6.

Indonesian people mostly tend to ignore health, especially dengue fever because the symptoms that arise are similar to common fever, this causes people with common fever symptoms to be reluctant to see a doctor. This study aims to help the public recognize the symptoms of dengue fever early by using the implementation of the fuzzy method in the dengue fever disease diagnosis system that uses specific datasets as a reference. Mamdani's fuzzy method, which is based on linguistic frameworks and fuzzy concepts, allows for the management of knowledge from experts for intuitive decision-making. The test results using the Confusion Matrix, the system showed an accuracy of 92.8%, an average precision of 90.6%, a recall of 95.8%, and an F1-Score of 92.6%, with an effectiveness value of 100%. This study proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for its treatment.

Regional House of Representatives (DPRD) of Magetan Regency to enhance the efficiency and effectiveness of visit data management. The system was developed using the Rapid Application Development (RAD) method, utilizing the Laravel framework and MySQL database. The implementation of this system is expected to replace the time-consuming and inefficient manual processes, such as guest book entry and data retrieval. The web-based system allows guests to digitally input their institutional origin, purpose, and objectives of their visit, which are then managed by the administrator for reporting and data analysis.The system development process began with needs analysis, design using UML diagrams, and implementation through web-based technology. System testing was conducted using the Black Box Testing method to ensure all system functions operate as specified. The research findings demonstrate that the system effectively reduces data processing time, increases accuracy, and facilitates the management of visit information. Thus, this information system not only provides practical solutions for DPRD Magetan but also serves as a model for similar developments in other institutions. This study offers significant theoretical and practical contributions to the advancement of information technology in the governmental sector

The University of Jambi (UNJA) currently manages the Single Tuition Fee (UKT) manually using Microsoft Excel, which causes various problems such as the length of the UKT determination process, data duplication, and difficulty in accessing the UKT determination history by the leadership.This research aims to develop UKT management features on the UNJA registration system to increase the effectiveness and automation of the UKT management process. System development is carried out using the Star Life Cycle Model method by implementing the features of the student UKT program proposal and uploading the required files. The research produced a prototype of a web-based registration system with a UKT Management feature that allows the process of determining and submitting a reduction / exemption of UKT to be carried out systematically. The implementation of this system is expected to overcome problems in managing UKT at UNJA such as duplication of UKT reduction which is detrimental to the institution in terms of finance.

PT Bumi Daya Plaza faces various obstacles in managing inventory because it still relies on a manual system based on Microsoft Excel. This approach causes a number of problems, such as recording errors, low data security, and limited real-time access, which negatively affect operational efficiency and customer satisfaction. This study aims to develop a web-based inventory system to overcome these problems. This system is designed to be able to monitor stock in real time, automate the reordering process, and generate accurate reports automatically. The research methodology includes interviews, observations, and document analysis to ensure user needs are met. The implementation results show that this system can improve work efficiency, reduce recording errors, and strengthen data-based decision making. With this innovation, PT Bumi Daya Plaza is expected to increase competitiveness and respond to market needs more effectively.