This paper presents a comprehensive investigation into the classification of Sundanese news articles, focusing on the evaluation of various classification models and feature extraction methods. Using a dataset obtained from Sundanese news websites, this study conducts a systematic comparison of Naive Bayes and Logistic Regression classifiers combined with TF-IDF and Bag-of-Words feature extraction methods. The research process involves critical steps such as data preprocessing, model training, hyperparameter optimization, and performance assessment based on standard metrics, including accuracy, precision, recall, and F1-score. Results demonstrate high accuracy across all combinations, with the Logistic Regression model using Bag-of-Words feature extraction achieving the highest accuracy of 98.20%. Beyond model evaluation, the research delves into qualitative data analysis. Word clouds and TF-IDF weighting are employed to uncover prominent themes and topics within the news articles, highlighting recurring patterns in the Sundanese language. The study identifies key challenges, including the scarcity of annotated datasets for low-resource languages like Sundanese and the limitations of traditional models in capturing complex linguistic structures. Future opportunities are highlighted, such as leveraging deep learning models, including transformers, to enhance classification performance and address current limitations. Additionally, ensemble methods and domain-specific adaptations could further improve accuracy. Overall, this research contributes to advancing Sundanese language processing and provides a roadmap for future innovations in text classification and natural language processing applications.

In the Democratic Republic of the Congo, the Ministry of Justice maintains criminal records for individuals with legal antecedents. However, certificates of good conduct, life, and morals are issued by local or district authorities without prior verification of the applicant's criminal record. This is due to the lack of a shared information system between the Ministry of Justice and these authorities. This paper describes the implementation of a platform that allows the Ministry of Justice to share criminal record information with local and district authorities. The system was modeled using the UP7 methodology and the Unified Modeling Language (UML). This platform ensures the reliability of the information provided on certificates of good conduct, life, and morals. Thanks to this new system, anyone with a criminal record is no longer able to hide their past by obtaining a certificate of good conduct, life, and morals that does not mention their criminal record. The results of the tests confirm that the system is user-friendly and meets the requirements of the users.

Education is very necessary in social life. Education has a role that will improve the quality of resources to be able to have the competencies needed in an increasingly advanced and developing era. Giving this scholarship will also greatly help someone in pursuing and even getting an education. Scholarships must also be done objectively, not just subjectively. Because the problems that occur when objectively granting scholarships may not be in accordance with the target of the scholarship award. Scholarships must also be given according to the right criteria so that the scholarship grants get maximum results for the administrators and scholarship recipients. The research was conducted using the Profile Matching method with Interpolation at the Indonesian Christian Church Pos Cikoleang, it will require decision makers to determine the weight value for each criterion. The results issued by the system are the congregations that are accepted and rejected in the scholarship application. and the system can provide scholarships with an accuracy rate of 78%.

Reason: The connection between Quality Management in e-Learning Systems and instructor execution draws a legitimate concern for specialists. It has not gotten critical consideration in the examination area of instructive administration up to this point. This paper intends to precisely examine the effect of Quality Management in e-Learning Systems on teacher execution in advanced education. Assessment and standards of value on the board and strategic exercises of e-learning frameworks. Satisfaction of criteria incorporates: 1) creative collaboration of the educational experience; 2) the e-growing experience (ELE); 3) connection innovation among educators and understudies; 4) ELE learning plan. The utilization of innovation gives a valuable chance to control understudy advancement during mentally and educationally versatile learning. It awards opportunities for learning, instructive change, and the nature of the information. It adds to the arrangement of expert abilities and fortifies acquiring direction. Discoveries express that Quality Management in e-Learning Systems in scholarly rankings altogether influences speaker execution. Portraying the association of instructors in instructive dynamic works on the exhibition of speakers and their associations. Among every segment variable, just scholastics fundamentally influence the presentation of teachers. Research suggestions expect the award framework and execution evaluation factors to impact the connection between Quality Management in e-Learning Systems and teacher execution. The exploration discoveries trust that the Indonesian government will promptly layout a Quality Management in the e-Learning System to work with better-quality execution in Indonesian advanced education. Innovation: Quality Management in e-Learning System is a device to adjust the association's vision and speaker execution objectives. The higher the degree of teacher interest in Quality Management in e-Learning Systems, the higher speakers' responsibility to the association's vision

The challenge faced by local governments in implementing house renovation assistance is determining which residents are eligible to receive house renovation assistance. This problem can be overcome by creating an effective and efficient assessment system for receiving house renovation assistance. By using the Weighted Product (WP) method, it is hoped that it can help simplify and speed up the performance of local governments in selecting the recipients of house renovation assistance. The function of this method is to determine the weight value for each alternative and the criteria having been determined. From the analysis of the manual system using 9 criteria/indicators, the result is that prospective recipients who have a vulnerable value of 0.03 to 0.04 are more worthy of priority for house renovation assistance. If the vulnerable value is below 0.029, the prospective beneficiaries will be reviewed for the next year's RTLH program

The library at SMK Negeri Sukoharjo is a library that has library management staff and several book collections according to library standards and has adequate library facilities and infrastructure. Students are required to become members of the school library to support the learning process. However, the process of borrowing and returning books is still conventional, that is, all library administration data collection in borrowing and returning books is still written in the book, and when looking for the required data, you must open the book page. Implementation of a library administration information system using FAST (Framework for the Application of Systems Technique), users can better understand and easily use applications made to maximize the performance of library staff, principals, and students in managing library administration. The design of the library administration information system using FAST (Framework for the Application of Systems Technique) has a Scope Definition, Problem Analysis, Requirement Analysis, Logical Design, Decision Analysis, Physical Design, Construction and Testing, Installation and Delivery, and Prototype. In accordance with the needs of users on the library administration information system based on the user experience design carried out. The results of web quality testing are 88.31% with very good criteria.

Activities in the selection of candidates for PASKIBRAKA every year aim to find the best sons and daughters who will be assigned as heirloom flag raisers. Selection of candidates for PASKIBRAKA members is done manually, to determine the final score of each participant. The selection committee still uses paper and is separate from the assessment to one criterion with the other criteria. In the assessment process with a large number of participants it will take a long time. To simplify the assessment process, a decision support system is needed for the selection of PASKIBRAKA candidates, using the TOPSIS Method (Technique for Order Preference by Similarity to Ideal Solution). TOPSIS is one method that is easy to use to solve multi-criteria problems by taking into account the values ​​of existing criteria. Based on the results of the case example, the candidate PASKIBRAKA selection shows that the results of the experiment use the same system as the manual calculation. And the calculation of the TOPSIS Method will produce output in the form of ranking from PAKIBRAKA candidates

Many companies are already using ERP application systems but still do not utilize information technology as an interest in helping to achieve the goals of the company's vision. The process of inputting the ERP (Enterprise Resource Planning) application data that prioritizes data integration, the accuracy of the data from the master data to the daily transaction data is then recorded into a financial statement information for the related. From this research, the results achieved are the ERP application system in inputting data integration processes, master data and transaction data are able to validate the level of data accuracy with the help of the INTEGRATION MANAGER Technology which functions as the initial data matrix with ready-to-report data in an ERP application system, As for the TOWS Matrix Analysis external environment (threats and opportunities), and internal environment (weaknesses and strengths) in summarizing the conclusions reached are to help the accuracy of the data in the ERP application of PT. Argo Pantes, Tbk is more structured, more efficient, reduces input errors, input data is correct, accompanied by uptodate managerial decisions

Education is one of the important factors to fulfill the needs because education can develop various potential in a person. High school is a process of student development. The selection of major in Buddhi High School still takes a long time and the result are less accurate because of human error factors, and other factors that influence students such as parents’ wishes or follow them, friends. To solve those problems a Decision Support System using the AHP and SAW methods is needed. The AHP and SAW Method require the decision-maker to determine the weight for each attribute. The rating of each attribute must have passed the normalization process of the previous matrix. The result from this system will help students to decide major that suitable with their interest and talents, and also help the school to decide major that suitable according to the appropriate criteria. Calculation with the AHP method has a consistency of 93.96%.