The consignment business model has become a preferred choice for MSME players in Indonesia, particularly in the food and beverage sector, due to its lower risk without the need to store inventory. However, its implementation faces challenges such as manual invoice processing, record discrepancies between consignor and consignee, and the risk of losing physical documents. This research aims to design the "Konsinyasi Pintar" application with document automation features to support efficient consignment management. The application is built using SwiftUI, SwiftData, and ExpressJS technologies and is equipped with an interactive business statistics dashboard. The research method includes usability testing with consignment business players to ensure the application's suitability. The results show that the application can integrate various management functions, reduce administrative burdens, and speed up consignment business activities by up to 86.1%. The originality of this research lies in integrating document automation technology relevant to the needs of MSMEs in the consignment model in Indonesia. Therefore, this application is expected to provide a competitive advantage for business players by leveraging digital technology for more effective and efficient business processes.

The study explores the use of advanced AI models for document classification and information extraction in Indonesian medical claims documents. Transformer-based models like Layout LMv3 show good performance with an F1 score above 93% for classification. LLMs like Qwen2.5-VL 7B yield a high F1 score (92-97%) for printed documents but face challenges in processing handwritten medical resumes. The methodology involves extensive data preprocessing and hyperparameter optimization to improve model performance. The research emphasizes the importance of balanced data sampling, valid ground truth data, and careful model selection for accuracy and efficiency. Future studies should integrate deep learning techniques and use pre-trained or fine-tuned BERT models for biomedical and clinical domains. These findings support the potential of transformer-based models and LLMs to automate and simplify document processing workflows in health administration.

The rapidly-evolving nature of information technology is both a challenge and an opportunity for non-profit organisations, as they seek to apply digital solutions to their administrative processes, as it does for organization XYZ Church in East Java. As the XYZ Synod of East Java is developing a more and more networked local church, managing congregation data has never been so sophisticated. Because the systems are not integrated, church data is often managed in a fragmented manner, making it difficult to track congregation data, use church activities intelligence, and provide adequate pastoral services. This research has the purpose to create a church information system in a web-based environment so that it can solve these problems, manage centralized but flexible in gathering the congregations data in a web-based, and can access in different churches. It proposes a cloud-based system that will be cost-effective, ensuring scalability, security and removing the need for expensive IT infrastructure while still ensuring data is available and protected. Additionally, the system architecture is based on Soft Systems Methodology (SSM) to ensure a detailed analysis of stakeholder needs and organizational complexities occurring in the church ecosystem. SSM, in conjunction with problem structuring methods, also means we can identify not only the primary challenges and stakeholder perspectives among the members of Church XYZ, but also explore the core system functionalities to ensure the solution fits the operational and pastoral needs of Church XYZ as it seeks to engage East Java. It is hoped that the thorough model formulated will significantly improve administrative effectiveness, increase data accuracy, refine pastoral care methodology and safeguard privacy of ministry while allowing efficient integration between local churches. This study combines contemporary solution of digital transformation with structured methodological analysis to appropriately support the digital transformation of church management while maintaining the core values and mission of Church XYZ in East Java.

The purpose of this research is to develop a web-based virtual assistant chatbot using AIML (Artificial Intelligence Markup Language) as a media to share information of student organization activities. The Virtual assistant is developed with chatbot capabilities by applying AIML. Combining Chatbot with AIML enables virtual assistants to understand and respond the users more effectively and efficiently. Chatbot technology in a web-based virtual assistant system can help the student organization to get information of organizational activities. The AIML used in the chatbot system allows users to interact like humans talk. Designing the system is done firstly by creating a knowledge base using AIML. The voice API is used to convert the knowledge base into an audio stream, which involves a text to speech conversion process. Both processes were initiated using the O-master programming tool. The next process integrates the knowledge base and voice into the php code using JavaScript. The system involves designing a user interface and avatars for interaction with users. The system serves the results of knowledge base searching and plays the conversion of the voice using script-to-voice code. The last step is integrating the chatbot into the hologram system. The hologram system utilizes a four-sided prism. The result shows that the system can help students to obtain information in student organization activities interactively.

The problem of plastic waste is being addressed in a variety of ways, ranging from manual waste sorting to reverse vending machines. On the other side, businesses are becoming increasingly concerned about waste management. Several ways to producing reverse vending machines have been tested, including the use of plastic sensors. However, the findings were unsatisfactory due to imprecise detection. This study looks into the use of ESP32-Cam combined with machine learning for high-precision plastic bottle detection in reverse vending machines. It is envisioned that high-precision plastic bottle detection would be used in reverse vending machines. It is intended that by providing an incentive for each identified plastic bottle, people will be motivated to collect plastic bottles and deposit them into reverse vending machines, thereby supporting digital humanities through enhanced waste management practices.

The covid19 pandemic has hit almost all countries. Covid-19 is a disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which results in many deaths, especially for patients who have comorbidities. By using the machine learning SVM method, predict of the classification between comorbid and death.. The comorbid taken were pneumonia, diabetes, COPD, asthma, insomnia, hypertension, cardiovascular, chronic renal, obesity, and USM. This paper also added with smokers in the feature. The data were taken from Kaggle which is data from the Mexican government from 2020-2021. The SVM method uses a linear kernel and radial basis function to get the F1 value to know which these have the results better. This paper also compares the results of F1 values using other methods such as KNN, Logistic regression, Xboost, decision tree, Random Forest and Multilayer Perceptron and the last, to know the importance feature or which comorbid has the highest death rate using SVM. The Result is SVM uses linear and rbf gets almost the same F1 value. It also same with other methods and the pneumonia has the highest death rate.

The abstract of the article is about the use of Augmented Reality technology to promote physical books and increase interest in reading among the millennial generation. The author highlights the challenge faced by libraries in the current era, which is the lack of interest in reading among young people, as reported by data from the Program for International Student Assessment (PISA) in 2019. The author argues that many books designed for children and young people are perceived as unappealing and lack attractive visual elements, which affects their literacy. To address this issue, the author suggests the use of Augmented Reality technology, which combines the real and virtual world, to promote physical books and increase interest in reading. The author cites Snapchat, a popular social media application with over 332 million daily users, as an example of a software that can be used to implement Augmented Reality technology in promoting books.

The Unified Theory of Acceptance and Use of Technology (UTAUT), which explains a person's interest in utilizing information technology and subsequent user behavior, is commonly employed when a new technology is introduced, regardless of whether people can embrace it. UTAUT is an evolution of the Technology Acceptance Model (TAM). One new technology that needs to be evaluated and is widely used in today's society is the ewallet or electronic wallet. Many payment transactions currently use e-wallet technology either directly to stores or buying and selling online. Of course, e-wallet usage cannot be separated from internet use. In Indonesia, the largest internet users are the millennial generation. This study aims to identify the ewallet technology acceptance characteristics that influence reuse among the millennial age by reviewing academic publications that examine the application of UTAUT. Because e-wallet technology influences reuse in the millennial age, this analysis concludes that there is a chance to develop and deploy UTAUT for its acceptability.

Kanisius Foundation Branch Surakarta operates in the education field and covers 38 schools. The school's budget planning and revenue was drawn up at the beginning of the new academic year and reported using the Microsoft Excel application. Some schools have different data formats and structures, which cause data management is not well integrated. Based on these issues, the purpose of this research is to help the Kanisius Foundation Branch Surakarta by developing a School Budget Planning and Revenue Accounting Information System (RKAS), including billing and payment of school fees. This research uses agile methods. The first phase is planning, starting with an overview of RKAS revenue flows, student bills and payment flows. Then compile a Chart of Accounts (COA), create use case and create activity diagrams to design the database design and the basic framework of the program. Then the system is implemented using Laravel, followed by software testing with black box testing. Then the system documentation and deployment. The last stage is maintenance which is performed periodically at a certain time. The School Budget Planning and Revenue Accounting Information System will help Kanisius Foundation Branch Surakarta in management data and make accurate decisions through well-integrated data.

The role of Modern Technology (IT) is growing and is needed by many agencies including the government, one of which is Information Technology Governance (ITG). ITG has a role in relevant agencies related to IT and the best services to help staff and community activities become important related to the village head office business. The purpose of this study is to analyze IS risk management at the Setu Village Head Office using the Framework Control Objective for Information and Related Technology (COBIT) 4.1. This study uses quantitative research methods by distributing questionnaires to respondents. The questionnaire got the data validity and reliability test well. The data will be analyzed and get the results showing the maturity level at level 3 meaning that the values are in the specified position. To achieve the goal through a much more structured way, namely using assets from the organization that are owned and well defined. Recommendations for this research are the need for additional infrastructure such as computers, wifi or others and the addition of human resources in the IT department at the Setu Village Head Office