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Tomato (Solanum lycopersicum) is an economically important crop whose productivity is increasingly constrained by drought stress under changing climatic conditions. Conventional breeding for drought tolerance is often slow because this trait is quantitatively inherited and strongly influenced by environmental factors. Molecular markers, particularly Simple Sequence Repeats (SSRs), have become valuable tools for improving selection efficiency and accelerating breeding progress. This review examines the role of SSR markers in the development of drought-tolerant tomato cultivars. The physiological, biochemical, and molecular responses of tomato to drought stress, including growth reduction, photosynthetic impairment, osmotic adjustment, hormonal regulation, and oxidative stress responses, are briefly discussed. The genetic characteristics of SSR markers, including their high polymorphism, co-dominant inheritance, and multi-allelic nature, are highlighted as key advantages for genetic analysis and breeding applications. Furthermore, the review synthesizes recent findings on the use of SSR markers for genetic diversity assessment, Quantitative Trait Loci (QTL) mapping, and identification of genomic regions associated with drought-related traits such as relative water content, chlorophyll stability, root architecture, and proline accumulation. The application of SSRs in Marker-Assisted Selection (MAS), including marker-assisted backcrossing and QTL pyramiding, is also discussed. Finally, the review evaluates the continuing relevance of SSR markers in the genomic era, emphasizing their complementary role alongside Single Nucleotide Polymorphism (SNP) markers, Genome-Wide Association Studies (GWAS), and Genomic Selection (GS). Integrating SSR-based approaches with modern genomic tools offers a promising strategy for developing climate-resilient tomato cultivars and enhancing future food security.

Cattle farming plays a strategic role in rural economic development by generating employment, supplementary household income, and contributing to food and nutritional security. However, in Indonesia, most smallholder cattle enterprises remain traditional and small-scale, leading farmers to treat livestock farming primarily as a secondary livelihood. While previous studies have largely focused on technical adoption and production performance, limited attention has been given to farmers’ psychological interest as a foundation for sustaining livestock enterprises. Therefore, this study aims to analyze the level of community interest in cattle farming and examine the influence of farmers’ characteristics (age, education level, herd size, number of family dependents, farming experience, and primary income) on such interest. A quantitative survey was conducted involving 34 cattle farmers in Taji Village, Jabung District, Malang Regency, selected using total sampling. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings reveal that community interest in cattle farming is generally high, as reflected in emotional (3.93), cognitive (3.81), and conative (3.74) dimensions measured on a four-point Likert scale. Regression results indicate that age has a significant positive effect (p = 0.022), whereas farming experience has a significant negative effect (p = 0.025) on interest levels. Other variables show no statistically significant influence. These findings highlight that psychological engagement in cattle farming is shaped more by demographic and experiential factors than by formal education or income level. The study contributes to the literature by positioning interest as a psychological determinant of livestock sustainability. Policy implications emphasize the urgency of risk-mitigation extension programs to address farmer burnout, incentivized intergenerational knowledge transfer, and cooperative-based institutional support to ensure smallholder livestock sustainability.

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.

This study aims to analyze the language style employed by President Prabowo Subianto in his speech delivered at the 17th National Farmers and Fishermen Week in 2026 using Teun A. Van Dijk's Critical Discourse Analysis framework. The study employed a qualitative approach with documentation techniques applied to the official speech transcript. Data were analyzed through Van Dijk's three analytical dimensions, namely text, social cognition, and social context. The findings reveal that, at the textual level, the speech is dominated by themes of support for farmers and fishermen as strategic actors in national development and food security. At the superstructure level, the speech is organized argumentatively through personal experiences, policy explanations, and reaffirmation of governmental commitments. At the microstructure level, the speech demonstrates the use of informal language, rhetorical strategies, repetition, and lexical choices that strengthen the relationship between the speaker and the audience. In terms of social cognition, the findings indicate the speaker's awareness of the media's role in shaping public opinion, as reflected in several instances of meta-communication. Meanwhile, the social context dimension reveals representations of power relations through the construction of social groups positioned either as supporters or obstacles to national interests. These findings suggest that the speech functions not only as a means of political communication but also as a medium for constructing ideology, legitimizing power, and shaping political identity. This study reinforces the view that language plays a significant role in representing social realities and power relations within society.

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.

Changes in labor regulations through the Job Creation Law have brought significant changes to the employment system in Indonesia, particularly in terms of labor flexibility. This study aims to analyze labor flexibility after the implementation of the Job Creation Law from the perspective of Human Resource Management (HRM). The research method used is a qualitative approach through a literature study with thematic analysis of 16 scientific journals, books, and regulations related to labor flexibility and strategic Human Resource Management (HRM) practices. The results show that labor flexibility has positive impacts on companies in improving operational efficiency, productivity, and adaptability to market changes. However, on the other hand, such flexibility also creates several challenges, including job uncertainty, decreased job security, and reduced protection for contract and outsourced workers. From the HRM perspective, companies are required to create a balance between business interests and labor protection in order to maintain harmonious industrial relations. This study is expected to provide a more comprehensive understanding of labor flexibility as part of human resource management strategies in the post-labor deregulation era in Indonesia.

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

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.

This study aims to analyze the bankruptcy process of PT Sri Rejeki Isman Tbk (Sritex) according to Law Number 37 of 2004. In addition, the legal impact on its subsidiary, PT Primayudha Mandirijaya in Boyolali, including legal protection for affected employees, will also  yang be reviewed. The research method used is normative legal research with a statutory approach and a conceptual approach. Data were obtained through a literature review of relevant regulations and legal literature. The results of the study indicate that although PT Sri Rejeki Isman Tbk has been declared bankrupt by the commercial court, legally, the assets of PT Primayudha Mandirijaya as a subsidiary do not immediately become part of the bankruptcy estate of its parent company. This is based on the principle that the legal entity is independent (separate legal entity) and its responsimerupakan bilities are limited (limited liability), which separates the assets in question from the parent company and the subsidiary, unless there is evidence indicating a guarantee from the company (corporate guarantee). Furthermore, the legal study on labor protection emphasizes that the rights of PT Primayudha Mandirijaya employees need to be legally protected in accordance with national labor regulations and bankruptcy law to mitigate the social and economic impacts in the Boyolali region. The study concludes that the legal existence of the subsidiary remains independent despite the bankruptcy of its parent company. However, it is crucial to prioritize contractual risk reduction and worker rights security during the curator's handling.

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

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.

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

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 qualitative literature review examines how global litigation finance markets manage the tension between transparency requirements and innovation dynamics. Drawing on academic scholarship, policy reports, court decisions, and industry analyses, the review synthesizes evidence on disclosure obligations, funder influence, national security concerns, and emerging regulatory models. Findings show that while transparency enhances judicial integrity and mitigates conflicts of interest, excessive disclosure may undermine commercial confidentiality and inhibit investment in complex claims. Across jurisdictions, regulatory debates converge on the need for proportionate, court directed mechanisms such as limited in camera disclosure, provenance checks, and funder conduct safeguards. The review concludes that transparency and innovation are not mutually exclusive; instead, balanced regulatory frameworks can preserve market efficiency while protecting due process values and preventing geopolitical misuse. The study highlights significant data gaps and calls for deeper empirical research to guide evidence based policy making.

The Indonesian Archipelagic Sea Lane II (ALKI II) constitutes a strategic route stretching from the Sulawesi Sea to the Indian Ocean with trade values reaching USD 1.5 million daily and traversed by more than 36,773 vessels annually. The complexity of maritime security threats in this region has increasingly intensified following the relocation of the capital city to East Kalimantan, thereby demanding an effective decision support system to assist Indonesian Warship Commanders in making operational decisions that are rapid, accurate, and in accordance with applicable legal provisions. This research employs a qualitative approach through in-depth interviews with four maritime expert sources, with data analysis using NVivo 12 software. Analysis results identified maritime operational complexity and the urgent need for a comprehensive decision support system. These findings subsequently served as guidance in designing a Decision Support System (DSS) with a tab-based interface that integrates international legal frameworks such as UNCLOS 1982, Law No. 3/2025 on TNI, and related national regulations to generate structured action recommendations along with their legal foundations. Research findings demonstrate that the developed DSS successfully integrates operational, legal, and situational aspects to support decision-making that is rapid, accurate, and legally compliant. This system has proven to enhance the effectiveness of Indonesian Warship Commanders in addressing the complexity of maritime security (KAMLA) challenges in ALKI II through the provision of legally-based action recommendations from national and international frameworks accessible in realtime during operational situations.  

This study examines how Nicolás Maduro's anti-neoliberal politics in Venezuela triggered a systematic securitization process by the US from 2014 to 2026. Drawing on Securitization Theory (Buzan et al., 1998) and a Neo-Gramscian perspective (Cox, 1981), this study argues that Maduro's anti-neoliberal policies constitute a counter-hegemonic challenge created by the United States. This threat is framed as a threat to democracy, regional security, and ultimately the narco-state, ultimately leading to the military intervention of January 2026. Economic sanctions failed to pressure the regime, exacerbated the humanitarian crisis, and set a dangerous precedent for the norm of state sovereignty in international law, suggesting that this securitization process proved ineffective. By addressing temporal and conceptual gaps in previous research, this study adds to the Security Studies literature. This study also highlights implications for international law, regional stability in Latin America, and the broader debate on securitization practices in contemporary global politics and US foreign policy strategy and international security governance frameworks debates.  

Indonesia, as the largest archipelagic state in the world, lies on international trade and transportation routes and possesses abundant natural resources. This strategic position creates both opportunities and challenges, particularly in the maritime domain, which requires the Indonesian Navy’s significant contribution in force deployment planning to counter future threats and disruptions. The evolving strategic environment necessitates specific policies and strategies for the Navy to enhance its strength in safeguarding sovereignty, territorial integrity, and national security. This development is pursued through the establishment of the Minimum Essential Force (MEF), a fundamental standard that defines the minimum level of naval capability required to effectively execute missions and functions. This study employs a qualitative descriptive method, using primary data from expert and user interviews as well as secondary data from observation and documentation, to analyze the selection of helicopter escorts utilized by the Indonesian Navy.

This community service initiative aims to enhance the knowledge and skills of the residents of Ilih Village, Damer District, Southwest Maluku Regency, regarding the use of banana corms as a nutritious and cost-effective alternative food source. Banana corms have historically been underutilized and generally treated merely as agricultural waste. Through training and mentoring sessions, the community was educated on the nutritional content of banana corms, processing techniques, and business opportunities for home-based banana corm nugget production. The methods employed included outreach, demonstrations, hands-on nugget-making training, and an evaluation of the activity's outcomes. The results indicate a high level of community enthusiasm for the innovation of processing banana corms into nuggets. Following the activity, participants demonstrated increased knowledge regarding the utilization of local food ingredients, hygienic processing techniques, and the economic potential of the processed product. The banana corm nuggets offered a pleasant taste and appealing texture, and were well-received by the community. Furthermore, the product's low production cost suggests it could serve as a source of additional income for villagers. This initiative is expected to support local food security and improve community welfare through the development of food businesses based on local resources.

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.