Data quality plays a crucial role in the managerial decision-making process, especially in sharia-based organizations. Accurate, complete, and relevant data serves as a foundation for managers in determining appropriate strategies and supporting overall organizational performance. This article aims to examine the role of data quality in enhancing the effectiveness of managerial decision-making through a literature study method. The results indicate that data quality dimensions such as accuracy, completeness, consistency, timeliness, and relevance directly impact the quality of information used in decision-making. Additionally, challenges in implementing data quality in sharia-based organizations were identified, including technological limitations, human resource constraints, and the integration of sharia values in data management. This article offers strategic recommendations for sharia-based organizations to improve data quality in order to support more effective, accountable, and sharia-compliant managerial decisions.

Relational databases, an essential component in modern information systems, are vulnerable to various security threats, both internal such as abuse of access rights, and external such as SQL injection, malware, and hacking. Given these conditions, how can relevant mitigation strategies be implemented to protect data security in relational databases? This article aims to identify the main threats to relational database security and map out relevant mitigation strategies. The method used is a literature review of various recent scientific journals that discuss aspects of data security in the context of relational databases. The results of the review indicate that threats such as SQL injection can be overcome by strict input validation, abuse of access rights can be prevented through role-based access control (RBAC), malware attacks can be detected using an intrusion detection system (IDS), and hacking actions can be minimized through the implementation of data encryption. This study is expected to be a reference in designing effective security strategies to protect data in relational databases.

In the digital era, companies are required to manage data optimally to improve operational efficiency. This research aims to analyze the role of data management and database systems in supporting company work efficiency. A descriptive approach is used by reviewing literature from various relevant academic sources. The results show that the implementation of a structured database system can reduce data redundancy, increase the speed of information access, and strengthen the decision-making process. With good data integration between divisions, the company can improve internal coordination and response to market changes. The findings confirm the importance of an effective data management strategy in supporting an organization's competitive advantage.
 
 

Digital transformation in Indonesia has increased dependence on digital database systems, so that personal data protection has become a crucial issue. This research aims to analyze the urgency of protecting personal data in digital database systems in Indonesia from regulatory, ethical and technical strategy aspects. The method used is literature study and document analysis of regulations, ethical practices and data protection technology. The research results show that even though Law Number 27 of 2022 concerning Personal Data Protection (UU PDP) has been passed, its implementation still faces challenges in the form of low digital literacy, weak law enforcement, and not yet optimal monitoring infrastructure. Additionally, implementing ethical principles and technical strategies, such as encryption, access control, and privacy by design, is critical to strengthening data security. This research concludes that effective personal data protection can only be realized through synergy between strong regulations, the application of digital ethics, and adequate technical strategies, in order to safeguard individual privacy rights in the digital era.

: For companies across industries, the integration of the Internet of Things (IoT) and management information systems (MIS) offers great potential for digital transformation. This publication explains the benefits and drawbacks of integrating IoT into MIS and how this technology can improve customer experience of products and services, in-depth data analysis, operational efficiency, energy efficiency, and creativity. Implementing IoT in SIM is not without challenges, because there are issues such as data security, interoperability, infrastructure availability, advanced data management, data protection and ethics. With a clear understanding of these pros and cons, companies can take the necessary steps to take full advantage of IoT integration in MIS while maintaining operational security, data protection, and Masu requirements.
 

In the rapidly developing digital era, online businesses face increasing challenges to achieve significant profits without sacrificing spending efficiency. To overcome this challenge, an optimal online marketing strategy is needed that can reach the right target market without significantly increasing operational costs.
This journal discusses several online marketing strategies that are effective in increasing profits relevant to expenditure. From a deep understanding of the target market to the use of social media and careful data analysis, every step taken is based on the principles of efficiency and effectiveness. By implementing the right marketing strategies, businesses can increase their visibility online, attract more potential customers, and increase sales conversions without having to exceed their available budget. Thus, this journal provides practical guidance for business owners and marketers to achieve success in their online sales without sacrificing profitability.

This article discusses the importance of building an e-commerce ecosystem that supports the growth of Micro, Small and Medium Enterprises (MSMEs). In an era of increasingly rapid digitalization, MSMEs need to adopt e-commerce platforms to expand their market reach and increase their competitiveness. However, to achieve sustainable growth, a strong and sustainable e-commerce ecosystem needs to be built. In this article, the author identifies the opportunities that exist in building an e-commerce ecosystem that supports MSMEs. One of the main opportunities is access to a wider global market, which can open the door for MSMEs to sell their products to customers around the world. In addition, e-commerce platforms also provide opportunities for MSMEs to utilize new technologies such as artificial intelligence and data analytics to improve operational efficiency and decision making.
 
 

This research aims to examine the effect of website performance on customer satisfaction and loyalty in e-commerce. E-commerce has become an important platform in e-commerce, and website performance has become a critical factor in achieving customer satisfaction and loyalty. In this research, the conceptual framework used includes three main constructs: website performance, customer satisfaction, and customer loyalty. Website performance is measured along several dimensions, including access speed, reliability, user interface, and content quality. Customer satisfaction is measured as the customer's perception of the quality of service and shopping experience on an e-commerce website. Customer loyalty is measured through repeat purchase intentions and recommendations to others. The research results show that website performance has a significant positive influence on customer satisfaction in e-commerce. Website performance dimensions, such as access speed and reliability, are critical in creating customer satisfaction. Apart from that, customer satisfaction also has a significant positive influence on customer loyalty. Satisfied customers tend to have a higher intent to make repeat purchases and recommend a website to others. The practical implication of this research is the importance of improving website performance to achieve customer satisfaction and loyalty in e-commerce. Business people should pay attention to aspects such as access speed, reliability, user interface, and content quality in the development and maintenance of their websites. Apart from that, efforts to increase customer satisfaction must also be the main focus, because customer satisfaction has a significant impact on customer loyalty.

This research aims to find out how vital information security compliance is in reducing the risk of Data Breach. The method used in this research is Library Research (Library) which is the method used in this writing, and in its use, this method uses books, and journals both in written form and online. Based on the results obtained from this research, it can be concluded that a Data Breach is an incident where sensitive data or important information becomes vulnerable or is accessed by unauthorized parties. To prevent a Data Breach, organizations need to take various security measures, policies, and practices, such as encryption, access management, physical security, network security, security training and awareness, security policies, and monitoring and auditing. Sensitive data protection helps maintain the confidentiality, integrity, and availability of data and protects the reputation and trust of customers and business partners. By implementing good sensitive data protection, organizations can reduce the risk of data breaches which can be financially detrimental and damage the company's image.
 

In this latest business era, data processing is very important for companies. The reason is, the results of the data processing process are needed to produce business decisions. Data processing is a process that replaces raw data as useful and practical information received. Raw data is generally in the form of numbers or records that are still random and uncompiled, as a result it requires a processing process to convert it as a useful issue using certain techniques and methods. A data scientist or a team of data scientists typically handles data processing, which needs to be done correctly to avoid having an adverse effect on the finished product or data output. Data is first processed in its unprocessed state before being transformed into a more readable format (graphs, documents, etc.) that allows employees across the organization to process and use the data on computers.