This article discusses the development of an e-commerce website for a batik store as an effort to digitize marketing and improve operational efficiency. The study focuses on system development strategies, integration of essential features such as product catalogs, shopping carts, digital payment methods, and their impact on customer accessibility. A descriptive qualitative approach was used, employing observation, interviews with the store owner, and a literature review related to e-commerce and digital marketing for MSMEs. The analysis results show that the implementation of a web-based digital platform can expand market reach, enhance customer convenience in shopping, and support more organized and structured transaction recording. The website development was carried out using the Waterfall method to ensure a step-by-step and structured process. These findings indicate that digital transformation through an e-commerce website is a strategic solution for batik MSMEs in facing modern market challenges.

Information technology (IT) has become a key element in the development of the financial industry, including Islamic banking. A primary challenge for IT management in Islamic banks is data security from cybercrime, which can damage the bank’s reputation and customer trust. This study aims to further examine the challenges and efforts that Islamic banks can undertake to enhance IT security. The research methodology uses a qualitative approach with descriptive methods and literature review to describe the phenomenon in depth based on data and information from various relevant literature sources. The study’s findings show that Islamic banks need to strengthen security through encryption, continuous monitoring, and employee training on cybersecurity. The conclusion of this study recommends that Islamic banks continue to raise awareness among employees and customers about security risks and ensure regulatory compliance. This research is expected to serve as a reference for Islamic banks in maintaining information security in the digital era.

The stochastic SEIR model offers an innovative approach to understanding the spread of infectious diseases, particularly tuberculosis, in limited populations. This study adopts a stochastic model to capture random variability in individual interactions, often overlooked in deterministic models. The population is divided into four main categories: Susceptible (S), Exposed (E), Infected (I), and Recovered (R), with transitions between categories determined by probabilities based on epidemiological parameters. Through simulations, the model demonstrates its capability to depict more realistic patterns of disease spread, including fluctuations in case numbers and epidemic duration. The findings indicate that stochastic variability plays a crucial role in understanding the dynamics of tuberculosis transmission, especially in small populations or when the number of individual contacts is limited. The stochastic SEIR model can serve as an effective tool for policymakers to evaluate various intervention strategies, such as vaccination, transmission control, and treatment, as well as to design public health policies that are data-driven and adaptive to epidemiological uncertainties.

Community welfare is a primary objective of national development, encompassing various aspects such as health, education, and decent employment, all of which play crucial roles in achieving national stability and progress. However, welfare is not solely dependent on economic factors but also on the overall quality of life. Unfortunately, disparities in welfare persist across different regions, influenced by local environmental factors, including access to education, which in turn affects job opportunities and income levels. Inequalities in employment opportunities can potentially slow down national development by reducing the number of individuals capable of contributing productively to key economic sectors. To enhance national development, further analysis of welfare indicators such as the open unemployment rate, human development index, labor force participation rate, and poverty levels is essential. Therefore, this study conducts cluster analysis on welfare indicators across districts/cities in Central Java for the year 2023. Both hierarchical and non-hierarchical (K-Means) clustering methods are employed to identify patterns of inequality by partitioning data into groups based on specific similarities. This approach facilitates a more effective review of policies to address welfare disparities across various regions. The findings indicate that the welfare indicators in Central Java are in a relatively poor condition, with low labor force participation rates, low human development indices, and high poverty rates. The hierarchical and non-hierarchical cluster analysis identified 5 optimal clusters, with all welfare variables having significant influence, requiring four iterations to reach the final centroids.

Software testing is a crucial stage in the development of information systems to ensure that applications can function according to user needs. System feasibility testing using UAT is intended to ensure that the system meets the functional requirements specified by the users. This study aims to apply UAT to a financial and inventory management information system used to manage various operational needs of the company, such as inventory recording, expense and income reporting, and employee wages. The UAT process is conducted by the system’s end-users, consisting of 16 respondents, including employees and the owner of CV. Nitah Tirta Makassar. The testing methodology includes several stages: UAT planning, preparing test questions through a Google Forms (gforms) questionnaire, conducting the tests, and analyzing the test result calculations. The results of this study indicate that the financial and inventory management information system meets user needs, based on UAT questionnaire score calculations that achieved an average interpretation score above 87% with a "very good" rating. With the implementation of UAT, it can be concluded that the financial and inventory management information system meets the users' requirements.

During this time, the development of technology has progressed rapidly.  In this sense, many companies have followed this technological development and introduced it into the collection of inventory data of assets, goods, and their financial reports. To obtain accurate and precise data, an inventory data collection system is required. Manual accounting calculations mean that Depot Kayu Kusen Laris III often records inventory incorrectly, which affects the resulting financial reports. Therefore, this study aims to develop an inventory information system that will support accurate data collection at Kayu Kusen Laris III Depot. The conclusion of this study is that the inventory data information system is designed using Access and SQL database.

The advancement of information technology has driven the need for more effective and efficient attendance systems, especially for companies with a distributed workforce. PT. Asia Sinergi Solusindo faces challenges in managing employee attendance in real-time based on predefined work locations. This study aims to design a location-based attendance application system utilizing Global Positioning System (GPS) technology to ensure employees can only mark attendance at locations specified by the administrator. The system was developed using the *waterfall* software development methodology, encompassing requirements analysis, system design, implementation, and testing. The application was built on the Android platform with cloud-based database integration to centrally store attendance data. The results show that the system enhances attendance data accuracy, reduces fraud risks, and facilitates real-time employee attendance monitoring. Thus, this application is expected to provide an effective solution to support attendance management at PT. Asia Sinergi Solusindo.

The purpose of this research is to find out how the sinde application is managed in archivist activities at the Central Kalimantan provincial education quality assurance center. The approach used in this research is a descriptive qualitative approach. The data source in this research is the documents management employee at the Central Kalimantan provincial education quality assurance center. The data collection technique used in this research is through interviews, observation and documentation. The data collection technique is through data reduction and presentation as well as drawing conclusions. The results of this research show that the management of the Sinde application is very relevant and effective for archivist activities in the Central Kalimantan province education quality assurance center. This can shorten time, can be accessed anywhere using the username and password owned by each employee can save use of physical paper and save time, letters can be accessed through the sinde application, you can see incoming letters, outgoing letters and can classify letters based on type, date and so on.

An Internet of Things (IoT)-based logistics monitoring system is an innovation designed to enhance efficiency, transparency, and speed in supply chain management. The implementation of IoT in logistics provides an ideal solution for real-time monitoring of goods, which was previously difficult with conventional methods. This system integrates IoT sensors such as GPS for location tracking, along with temperature and humidity sensors to monitor goods requiring special attention, such as food and pharmaceuticals. By automating processes through IoT technology, goods distribution becomes faster, reducing reliance on manual controls, speeding up decision-making, and minimising human error. This system enables companies to monitor the condition and location of goods in real-time, offering high visibility into the logistics status. With comprehensive monitoring, companies can proactively address issues and ensure goods remain in optimal condition throughout the shipping process. An IoT-based logistics monitoring system has the potential to enhance a company’s competitiveness through efficiency and accuracy in supply chain management. When effectively implemented, IoT technology can not only improve service quality and customer satisfaction but also strengthen a company’s position in an increasingly competitive market.

The rapid advancement of technology has made artificial intelligence (AI), particularly generative chatbots, an integral part of everyday life. These chatbots, powered by Natural Language Processing (NLP) and deep learning technologies, are widely used in various fields such as customer service, education, and entertainment. However, the increasing prevalence of such technologies brings forth important philosophical concerns, particularly in the realm of axiology—the branch of philosophy that deals with the nature of values, including the practical and ethical implications of knowledge and technology. This study investigates the practical benefits and ethical responsibilities associated with generative chatbots, using ChatGPT as a case study. The research examines whether ChatGPT adheres to the axiological principles of science, specifically its usefulness in enhancing human life and its ethical responsibilities. Through a qualitative content analysis, this research evaluates the responses of ChatGPT to a series of questions based on the axiological framework outlined by Sumantri. The study focuses on two main aspects of science's axiological evaluation: the practical benefits of science and technology, and the ethical responsibilities tied to their application. The findings indicate that ChatGPT is capable of providing useful insights that contribute to human understanding, improve quality of life, simplify complex tasks, and offer solutions to various problems. However, the ethical considerations of AI technology, such as fairness, transparency, and accountability, remain a crucial area of concern. This research highlights the importance of balancing technological progress with ethical responsibility, emphasizing that AI systems like ChatGPT must be developed and applied in ways that align with human values to ensure their positive impact on society.