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Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

The development of digital financial technology has accelerated the transition from cash-based to cashless payment systems across various economic sectors, including traditional markets. One of the most widely adopted innovations is the Quick Response Code Indonesian Standard (QRIS), which offers convenience, speed, and security in financial transactions. This study aims to analyze the role of digital financial literacy in supporting the utilization of QRIS and its implications for the profitability and business sustainability of traditional market traders in Surabaya. The study employed a descriptive qualitative approach, with data collected through observation and documentation of traders' transaction activities. The findings indicate that the utilization of QRIS among traditional market traders remains suboptimal. This condition is influenced by limited digital financial literacy, insufficient technological skills, and the readiness of business owners to adopt digital payment systems. In addition, concerns regarding transaction security and limited technological competence, particularly among elderly traders, remain significant barriers to digital transformation. Nevertheless, digital financial literacy has been shown to improve transaction efficiency, facilitate financial record-keeping, reduce transaction errors, and support more effective business management. Therefore, strengthening digital financial literacy is a strategic factor in optimizing QRIS adoption to enhance profitability and ensure the long-term sustainability of traditional market businesses in the digital economy.

 The development of information technology encourages government agencies to implement digital systems in administrative management, including the filing of financial documents. This study aims to analyze the application of digitization of financial document archives in the General and Administration Section of the South Sumatra National Road Implementation Center, find out the benefits obtained, and identify obstacles faced in its implementation. The research uses a descriptive method with a qualitative approach. Data was obtained through direct observation during internship activities, documentation, internship logbooks, and literature studies. The results of the study show that the digitization of financial document archives is carried out through the stages of document completeness, scanning, digital storage, archive grouping, and document retrieval. The implementation of archive digitization provides benefits in the form of easier document searching, reducing the risk of losing archives, increasing work effectiveness and efficiency, saving storage space, improving data security, and supporting the digital transformation of government agencies. However, there are still several obstacles such as the large volume of documents, the need for high precision in the scanning process, file naming errors, device and system interference, the risk of digital data loss, limited human resources, and the simultaneous management of physical and digital archives. Therefore, it is necessary to improve the quality of digital archive management so that the benefits obtained can be more optimal.

This literature review analyzes the impact of data privacy issues on consumer usage intention in Indonesian e-commerce platforms. The study aims to map privacy threats and understand the phenomenon of the privacy paradox in the context of digital retail. Using a literature review method, this study synthesized findings from international journals published in the last five years from Scopus, Web of Science, and Google Scholar databases. The results show that excessive data collection, unauthorized secondary use, and data breaches significantly increase consumer privacy concerns. However, the research also confirms a privacy paradox, where consumers willingly share personal data to gain shopping convenience and promotions. The findings highlight that strong brand trust and a seamless user experience can effectively mitigate these privacy fears. Practically, this study recommends that e-commerce companies implement the Privacy by Design framework, utilize dynamic passwords (OTP), and provide transparent privacy settings as a competitive marketing advantage. Future research should explore specific regional demographics and the direct impact of new technologies like AI chatbots on consumer security perceptions.

The advancement of technology and information, which coincides with digitalization alongside the development of Artificial Intelligence (AI), has colored human social life around the world. Currently, cadets of the Naval Academy often use gadgets/digital tools to access information or other media. With this, there are emerging threats that are very dangerous for individuals and the state. An currently prevalent case is Cyber Crime Identity Theft. Cyber crime identity theft refers to the crime of stealing someone's personal information online for the purpose of fraud or financial gain by stealing personal data such as names, identity numbers, and financial information, to carry out illegal transactions or obtain illegal benefits, which can lead to financial loss and damage the victim's reputation. Indonesia still has a very high number of cases of cyber crime identity theft, but it should be preventable by fostering. the cyber security awareness of cadets at the Naval Academy of the Indonesian National Armed Forces. The conclusion of this research is that by strengthening modern technological infrastructure, both equipment and administrative services, developing modern software and hardware with strong security systems, and tightening regulations regarding access to users' personal data in cyber services, supported by strengthening cyber security institutions, it can enhance the cyber security awareness of cadets at the Naval Academy of the Indonesian National Armed Forces.

The rapid advancement of Internet of Things (IoT) technologies has transformed conventional residential environments into intelligent smart housing systems capable of enhancing energy efficiency, security, comfort, healthcare services, and environmental sustainability. However, existing studies remain fragmented, focusing on specific technologies or applications rather than providing a comprehensive understanding of the smart housing ecosystem. Therefore, this study aims to systematically review the major technologies employed in IoT-based smart housing systems, examine their contributions to residential benefits, and identify the challenges and future opportunities associated with their implementation. This research adopted a Systematic Literature Review (SLR) approach using the Scopus database as the primary source of literature. The review process followed a structured screening and selection procedure, resulting in the inclusion of 26 studies that met the predefined eligibility criteria. The findings indicate that Artificial Intelligence, Blockchain, Edge Computing, Fog Computing, Cloud Computing, Digital Twin, Smart Grid technologies, renewable energy systems, and advanced sensor infrastructures constitute the primary technological foundations of modern smart housing systems. The reviewed studies indicate that these technologies contribute to energy optimization, cybersecurity enhancement, intelligent automation, healthcare monitoring, safety improvement, and sustainable resource management. However, challenges related to security, privacy, interoperability, scalability, computational complexity, and implementation costs remain important barriers to widespread adoption. In conclusion, IoT-based smart housing systems have evolved into integrated and intelligent residential ecosystems, and future development is expected to be driven by the convergence of Artificial Intelligence, distributed computing, Digital Twin technologies, and sustainable smart infrastructure solutions.  

This study explores the role of artificial intelligence in strengthening cybersecurity threat detection frameworks for next-generation network environments. The rapid expansion of cloud computing, Internet of Things ecosystems, and distributed digital infrastructures has significantly increased cybersecurity risks and operational vulnerabilities. Traditional cybersecurity systems often struggle to detect sophisticated and evolving threats due to their dependence on static detection mechanisms. Using a qualitative research approach and content analysis method, this study examines recent developments in artificial intelligence, machine learning algorithms, and intelligent cybersecurity frameworks. The findings indicate that AI-driven cybersecurity systems improve real-time threat detection, anomaly identification, automated monitoring, and predictive security analysis. Machine learning technologies such as Random Forest, Support Vector Machine, and deep learning models demonstrate strong potential for enhancing intrusion detection accuracy and reducing false positive rates. The study also identifies critical challenges related to ethical governance, privacy protection, computational complexity, and adversarial attacks in AI-based cybersecurity systems

Digital literacy is an essential competency that secondary school students must possess to face the rapid development of technology in the digital era. However, many students still lack adequate understanding of basic information technology concepts, digital security, and the responsible use of technology. This community service activity aimed to improve students' digital literacy through a basic information technology introduction program. The methods employed included preliminary observation, pre-test administration, educational sessions, hands-on practice, discussions, and evaluation through post-tests. The training materials covered computer hardware and software fundamentals, effective internet usage, digital security, and ethical behavior in digital environments. The results indicated a significant improvement in students’ knowledge and digital skills after participating in the program. Students became more capable of accessing, evaluating, and utilizing digital information critically while understanding the importance of cybersecurity and ethical technology use. Furthermore, the high level of participant engagement demonstrated that the program was relevant to students’ needs in today's digital society. Therefore, the basic information technology introduction program proved effective in enhancing digital literacy among secondary school students and can serve as a strategic initiative to prepare young generations to adapt to technological advancements and future digital challenges. Community Service, Digital Education, Digital Literacy, Information Technology, Secondary School

The implementation of web-based archive digitalization can help improve performance in the field of archive recording, which was previously still manual at the Naval Academy. Some of the obstacles include archiving that is still manual, many files lost due to piled-up storage systems, and human resources in the field of archiving that are still lacking. This study aims to increase time and cost efficiency in archive processing, reduce the risk of loss and damage to archives, and improve the abilities and skills of human resources in the process of using digital archives. This type of research is descriptive qualitative. The data collection techniques are interviews, observation, and documentation with respondents as well as appropriate documentation. The data analysis was carried out through the processes of data reduction, data display, as well as verification or drawing conclusions. The research results can help improve the efficiency and security of archiving by minimizing risks, so that archive management can enhance efficiency and effectiveness, focusing on the implementation of web-based applications.


Food waste is still a significant problem, affecting food security, the environment, and the global economy. More than 53% of food produced becomes waste. Food waste worldwide totals 1.3 trillion annually. One of the districts with a high food waste rate is Banyumas. The most significant contributor to waste in the Banyumas region in 2021 was food waste, accounting for 39.85%, with much of it generated by restaurants. Restaurants play an essential role in managing food waste, as most food discarded at the preparation stage cannot be reused. This study aims to analyze the relationship between demographics and food waste reduction to support a digital technology approach from a restaurant perspective. This study used quantitative methods. The respondents of this study were 100 restaurants located in Banyumas, including A La Carte, Ramesan, Tegal, and Padang, and the data were analyzed using ANOVA. The results show that demographic factors, including income, age, restaurant opening hours, and the prices of best-selling foods, influence food waste in restaurants. The recommendation is for restaurants to prepare and plan menus. This will affect food prices, opening hours, and revenue. Some restaurants can increase their knowledge of handling food waste.

Digital democracy and e-governance have emerged as transformative instruments for promoting transparency, accountability, and efficient public administration in India. This study examines the role of digital governance initiatives in strengthening democratic participation and reducing corruption through technology-driven governance mechanisms. Using a qualitative and doctrinal research methodology based on secondary sources, the study analyses major initiatives such as Digital India, Aadhaar, DigiLocker, BharatNet, BHIM-UPI, and MyGov. The findings demonstrate that digital governance has improved accessibility to public services, enhanced administrative efficiency, and minimized bureaucratic corruption through automation and electronic monitoring systems. Furthermore, digital platforms have expanded citizen participation in democratic processes by facilitating communication between governmental institutions and the public. However, challenges such as digital inequality, cyber-security risks, infrastructural limitations, and privacy concerns continue to affect the effectiveness of digital democracy in India

The proliferation of social media interactions frequently results in an increased risk of cyberbullying. This study aims to evaluate the impact of digital literacy, digital security, and digital communication on cyberbullying prevention among Generation Z TikTok users. Employing an explanatory quantitative approach, data were collected through online questionnaires distributed to Generation Z students in the Information Systems Study Program at Universitas Internasional Batam. The respondent data were then analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) technique. The analytical results reveal that digital literacy does not significantly affect cyberbullying prevention. Conversely, both digital security and digital communication demonstrate a significant impact on cyberbullying prevention. Among the investigated variables, digital communication exerts the most dominant influence on preventing cyberbullying. These findings suggest that preventing cyberbullying requires more than merely digital knowledge; it heavily relies on the implementation of digital security measures and the capacity for ethical communication in digital environments. Ultimately, this research is expected to serve as a valuable reference for formulating effective cyberbullying mitigation strategies for Generation Z across social media platforms.

This study contributes to the advancement of Islamic social finance discourse by developing a conceptual framework for a digitally integrated zakat governance model within the agricultural sector. The study addresses a critical gap between productive zakat practices and the emerging landscape of digital agricultural transformation. While previous research has largely focused on the redistributive function of zakat as a mechanism for poverty alleviation, limited scholarly attention has been directed toward its potential transformation into a technology-enabled and productivity-oriented instrument that supports sustainable development objectives. Employing a qualitative research approach through content analysis, this study synthesizes interdisciplinary perspectives from Islamic economics, zakat governance, agricultural technology innovation, and digital sustainability studies. The study proposes a Digital Farming Zakat Platform framework consisting of five interconnected dimensions: geospatial-based beneficiary identification, smart farming empowerment, sharia-compliant financial mechanisms, agricultural market integration, and data-driven monitoring systems.

The rapid advancement of information and communication technology has increased the need for data security and confidentiality in digital information exchange. Various threats, such as eavesdropping, data theft, and information manipulation, require effective security methods capable of protecting message content without attracting unauthorized attention. One of the techniques used to address this issue is steganography, which conceals secret information within digital media so that the existence of the message remains undetectable. This study aims to implement the Least Significant Bit (LSB) method on digital facial images as a medium for embedding secret messages and to evaluate the quality of the resulting stego images. The system was developed using the Python programming language with a Tkinter-based graphical user interface to facilitate the processes of message embedding and extraction. Prior to embedding, the secret message was secured using an XOR encryption operation with a specific key. The embedding process was performed by modifying the least significant bits of image pixels, resulting in minimal visual distortion. Experimental results indicate that the LSB method successfully conceals secret messages while maintaining the visual quality of the cover image. The evaluation produced low Mean Squared Error (MSE) values and Peak Signal-to-Noise Ratio (PSNR) values exceeding 85 dB, indicating a very high similarity between the original and stego images. Furthermore, the hidden message could be accurately extracted using the correct key, provided that the image had not undergone compression or manipulation. Therefore, the LSB-based steganography approach on digital facial images is proven to be an effective method for enhancing information security and confidentiality.

In order to raise the standard of healthcare services in the contemporary period, digital transformation in hospital management has become a phenomena. The purpose of this study is to investigate the adoption, advantages, difficulties, and success aspects of digital transformation in healthcare facilities. A literature review employing a narrative review system was the methodology. 14 papers that met the inclusion requirements were found using data sources from Google Scholar, PubMed, and ScienceDirect databases with publication years ranging from 2020 to 2025. To determine the primary study themes, data analysis was carried out utilising a thematic synthesis approach. According to the study's findings, digital transformation can enhance operational effectiveness, service quality, and patient safety by using technology including electronic health records (EHR), telemedicine, and hospital management information systems. However, there are still a number of obstacles to its adoption, such as inadequate infrastructure, inadequate human resource competency, expensive investment costs, and data security threats. Significant barriers also include a lack of system integration and opposition to change. Government policies and regulatory assistance have an impact on the success of digital transformation in hospital administration.

Digital documents have become an essential medium for storing, managing, and distributing information in various sectors. Nevertheless, the risk of document alteration and forgery requires an effective mechanism to verify document authenticity. This research focuses on the implementation of Base64 and Pepper methods in a QR Code-based document verification system. The system was developed following the Waterfall software development model, which consists of requirement analysis, system design, implementation, and testing stages. A web-based application was created using PHP and MySQL. Verification tokens were produced from document identity data combined with a Pepper value, encoded using Base64, and embedded into QR Codes attached to PDF documents. During verification, the QR Code is scanned and the extracted token is compared with records stored in the database. Experimental results demonstrate that the proposed system is capable of verifying document authenticity accurately and efficiently. Furthermore, Black Box Testing confirmed that all implemented functions operated as expected. Therefore, the integration of Base64 and Pepper contributes to improving the security and dependability of digital document verification.

The rapid development of information technology drives various business sectors, including the beauty and health industry, to adopt digital systems in their operational management. A Beauty Clinic, a medium-scale aesthetic clinic, faces significant operational challenges in managing human resources, finance, and digital marketing in an integrated manner. This study aims to analyze the existing manual operational system of A Beauty Clinic using the PIECES framework (Performance, Information, Economy, Control, Efficiency, Service), design and configure an Odoo ERP Community Edition implementation integrating the HR, Invoicing/Point of Sale, and Social Marketing modules, and evaluate the operational efficiency improvements achieved. The research employed a qualitative descriptive approach with a case study method and Rapid Application Development (RAD) as the system development methodology. Data was collected through direct observation and semi-structured interviews. The results show that the manual system experienced critical problems across all six PIECES dimensions. Post-implementation evaluation indicates an estimated 80% reduction in the secretary's administrative workload (from 20–25 hours to 3–5 hours per month), over 90% reduction in payroll error frequency, and an 87% reduction in transaction processing time per cashier transaction. The implementation of role-based access control and complete audit trails fundamentally addressed the security vulnerabilities identified in the as-is analysis. This study demonstrates that Odoo Community Edition is an effective, comprehensive, and cost-efficient ERP solution for small and medium-scale beauty clinics seeking to transform from fragmented manual systems to integrated, data-driven information systems.

The study aims to analyze the influence of consumption behavior, projected through cultural, social, personal, and psychological factors, through Generation Z's decision to use the Quick Response Code Indonesian Standard (QRIS). The focus subjects were taken from undergraduate students of Economics at Surabaya State University from 2021 to 2024 who are active users of QRIS. Using an associative quantitative approach using primary data to be collected using an online questionnaire distribution. The data analysis technique applied Structural Equation Modeling–Partial Least Square (SEM-PLS) using SmartPLS 4 software. The results of the study showed that four factors of consumption behavior, namely cultural factors, social factors, personal factors, and psychological factors, have a positive and significant impact on students' decisions to use QRIS. Evaluation of the F-square value F2 shows that psychological factors (internal motivation, perceived ease, security, and trust) are the most dominant predictors with the largest effect value of 0.434 in influencing the decision to adopt this digital payment system technology. These findings indicate that a combination of students' internal motivation, the digital culture inherent in the campus environment, and the demands of practicality in Generation Z's lifestyle strengthen the decision to use QRIS in daily economic activities.  

The advancement of information technology has driven higher education institutions to manage their digital presence professionally, particularly through quality website management as a representation of institutional identity. Preliminary observations of the Universitas Graha Karya (UGK) website (ugk.ac.id) identified several issues, including inconsistent page layouts, inactive hyperlinks, and irregularly updated content. This study aims to analyze the quality of the UGK website based on three WebQual 4.0 dimensions—usability, information quality, and service interaction quality—and to determine improvement priorities using Importance Performance Analysis (IPA). A descriptive quantitative approach was employed, with data collected through questionnaires distributed to 308 active students selected via purposive sampling using the Slovin formula at a 5% margin of error. Data analysis included validity testing, reliability testing, WebQual 4.0 analysis, gap analysis, and IPA Cartesian diagram mapping. Results indicate negative grand mean gap values across all dimensions, with service interaction quality recording the largest gap (-0.16), followed by information quality and usability (both -0.01). IPA mapping identified five indicators in Quadrant I as the main improvement priorities: ease of menu navigation (U2), relevance of academic information (IQ2), clarity of information language (IQ4), website access security (SI1), and ease of contacting administrators (SI4). The study concludes that UGK's website quality has not fully met user expectations and requires structured, user-oriented improvements.

The rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.