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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.  

Modern food supply chains, particularly those involving essential commodities like rice, often suffer from major challenges such as product fraud, inefficient record-keeping, and a lack of consumer trust. Traditional centralized systems are prone to data tampering, limited transparency, and poor traceability, making it difficult to verify the authenticity and origin of goods. To address these issues, our research introduces TraceRoot, a blockchain-based traceability framework designed to enhance transparency, accountability, and trust in agricultural supply chains.TraceRoot leverages the immutability and decentralization of blockchain technology to maintain a secure, distributed ledger that records every transaction and movement of goods across the supply chain. Each stakeholder including farmers, distributors, retailers, and consumers has role-based access to authenticated data through a user-friendly interface. The framework integrates smart contracts to automate transactions and digital signatures to verify the integrity of the data being uploaded, minimizing the risk of human error or manipulation

Medical waste is a by-product of healthcare activities that may have negative impacts on human health and the environment if not properly managed. This study aims to examine strategic planning for medical waste management in healthcare facilities and evaluate the risk of environmental contamination in the digital era. The method used was a literature review by examining various relevant scientific sources. The findings indicate that medical waste management still faces several challenges, including non-compliance with established standards, limited human resources, and the risk of environmental pollution. The utilization of digital technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), RFID, and Blockchain has the potential to improve the effectiveness of monitoring and managing medical waste. Therefore, strategic planning supported by digital technology, human resource capacity building, and regulatory compliance is essential for achieving safe and sustainable medical waste management.

Transformasi digital di sektor kesehatan, khususnya melalui penerapan Rekam Medis Elektronik (RME) dan telemedicine, telah membawa perubahan signifikan dalam efisiensi dan kualitas pelayanan kesehatan di Indonesia. Namun, di balik berbagai manfaat tersebut, muncul persoalan serius terkait perlindungan privasi dan keamanan data pasien, interoperabilitas sistem, serta kepastian hukum yang masih belum memadai. Penelitian ini bertujuan untuk mengkaji penerapan RME dalam layanan kesehatan, mengidentifikasi permasalahan keamanan dan perlindungan data pasien, serta menganalisis kepastian hukum dalam layanan kesehatan berbasis teknologi di Indonesia. Metode yang digunakan adalah studi literatur sistematis dengan pencarian artikel melalui database Google Scholar, dibatasi pada publikasi tahun 2022–2026. Dari 8.780 artikel yang ditemukan, proses seleksi bertahap menghasilkan 3 artikel final yang memenuhi kriteria inklusi dan dianalisis secara deskriptif kualitatif. Hasil penelitian menunjukkan bahwa interoperabilitas RME di Indonesia masih terhambat oleh ketidaksesuaian standar data, keterbatasan infrastruktur, dan regulasi yang belum memadai. Penerapan teknologi mutakhir seperti blockchain, cloud computing, dan kecerdasan buatan terbukti mampu meningkatkan keamanan dan efisiensi pengelolaan data pasien. Sementara itu, regulasi telemedicine yang ada belum terintegrasi secara komprehensif dan belum mampu memberikan kepastian hukum yang memadai bagi tenaga kesehatan maupun pasien. Kesimpulannya, diperlukan harmonisasi regulasi, standardisasi data nasional, peningkatan infrastruktur, serta penguatan kapasitas sumber daya manusia agar ekosistem kesehatan digital Indonesia dapat berkembang secara aman, terintegrasi, dan berkeadilan bagi seluruh pihak yang terlibat.

Bintan Regency, as a coastal area with a strategic geographical location as an international shipping route, is vulnerable to marine pollution caused by oil spills. Repeated incidents throughout 2023-2025 show that this problem has not been resolved. The purpose of this study is to evaluate the effectiveness of the implementation of MARPOL Annex I as a regulation that prevents pollution caused by oil spills at sea, particularly in Bintan Regency. This study identifies gaps in the implementation of regulations at the national level and formulates a more integrated form of prevention through strengthened supervision and the application of technology. The method used is a qualitative descriptive method through a literature review approach, with secondary data from scientific journals, articles, media reports, YouTube, and other supporting documents related to the incident. The results of the study show that: first, mitigation efforts are still focused on post-spill responses, such as manual cleanup involving institutions and the community. Second, weak border patrols make it difficult to find the perpetrators. Third, Bintan Regency has not utilized technology such as blockchain as a potential tool that can help prove ship compliance with MARPOL Annex I. Although MARPOL Annex I has been implemented in accordance with national regulations, its implementation has proven ineffective as spills continue to recur to this day. Therefore, changes are needed in terms of prevention through integrated maritime surveillance and the introduction of digital technology for reporting ship compliance with MARPOL Annex I in the Bintan Regency area.

Tax administrations are undergoing a fundamental transition from conventional audit practices based on manual inspection and limited sampling toward data-driven supervision supported by big data analytics, artificial intelligence, and digital transaction infrastructures. However, developing economies, particularly in Southeast Asia, continue to face structural constraints such as fragmented legacy systems, informal economic activities, uneven digital literacy, corruption risks, weak data interoperability, and evolving privacy regulations. This study aims to develop a contextual framework for detecting potential tax-reporting fraud by integrating big data tax analytics, localized machine learning, explainable artificial intelligence, blockchain-enabled value-added tax data integrity, and socio-organizational governance. The study adopts a mixed-method sequential explanatory approach combined with Design Science Research. The methodological design integrates policy and institutional analysis, machine learning model design, and socio-organizational validation using secondary literature, Southeast Asian case studies, regulatory review, and simulated data architecture. The main contribution of this study is the Contextual Tax Analytics with AI and Blockchain Framework, or C-TAX-AIB Framework, consisting of three interrelated layers: Data Layer, Analytics Layer, and Governance and Human Layer. The Data Layer proposes a hybrid blockchain architecture for e-Faktur and value-added tax reporting integrity; the Analytics Layer introduces localized machine learning and explainable AI to support transparent risk scoring and anomaly detection; and the Governance and Human Layer embeds privacy protection, taxpayer digital literacy, auditor readiness, and trust-building mechanisms. The framework advances prior studies by moving beyond algorithmic fraud detection toward an integrated governance model suitable for developing economies. The study provides theoretical implications for public finance analytics and practical guidance for ASEAN tax administrations in designing accountable, explainable, and context-sensitive digital tax systems.

The protection of sensitive information in the financial sector requires a security architecture capable of preserving confidentiality, integrity, availability, auditability, and regulatory accountability across multiple institutions. Conventional centralized security models remain vulnerable to single points of failure, unauthorized access, data manipulation, and limited transparency in inter-organizational data sharing. Blockchain offers tamper-resistant records, decentralized trust, and verifiable audit trails; however, its direct implementation in financial systems is constrained by scalability limitations, smart contract vulnerabilities, privacy leakage, and conflicts between immutable ledgers and data protection principles. This study aims to develop a blockchain-based data security system for protecting sensitive financial information by integrating permissioned blockchain and Zero-Knowledge Proofs. The proposed method adopts a consortium-oriented permissioned blockchain architecture, represented by Hyperledger Fabric, to ensure controlled participation, certificate-based identity management, endorsement policies, and auditable transaction validation. Smart contracts are designed as policy-enforcement components for consent management, access authorization, data commitment, revocation, and audit logging. Zero-Knowledge Proofs are incorporated to verify customer attributes, eligibility, and access rights without disclosing raw personal or financial data. Sensitive information is stored off-chain in encrypted form, while the blockchain records only cryptographic commitments, hashes, consent states, and audit events. The expected result is a security model that improves data integrity, controlled access, privacy-preserving verification, and compliance-oriented accountability while reducing unnecessary exposure of sensitive data on-chain. The implication of this research is the provision of a technically coherent framework for financial institutions seeking to adopt blockchain securely in regulated environments, especially where data confidentiality, auditability, and privacy compliance must be achieved simultaneously.

The development of financial technology has led to the emergence of cryptocurrency as a decentralized digital instrument that enables fast and cross-border financial transactions. While this technology offers efficiency and flexibility in digital financial activities, it also creates opportunities for misuse in various forms of crime, including terrorist financing. This study aims to analyze the use of cryptocurrency as a means of financing terrorist activities in Indonesia, examine the existing legal framework governing terrorist financing, and identify the challenges faced in law enforcement. This research employs a normative legal method using statutory, conceptual, and case study approaches. The findings indicate that the use of cryptocurrency as a medium for terrorist financing still fulfills the elements of a criminal offense as regulated under Law Number 9 of 2013 concerning the Prevention and Eradication of Terrorism Financing. However, the characteristics of cryptocurrency, such as anonymity, decentralization, and cross-border transactions, create significant challenges in the processes of evidence gathering, transaction tracing, and identification of perpetrators. In addition, there is a regulatory gap between the recognition of crypto assets as economic commodities and the supervision of their potential misuse for terrorist financing. Therefore, stronger regulations are needed to explicitly integrate crypto assets into the terrorist financing prevention regime, along with improving the capacity of law enforcement agencies in blockchain transaction analysis and strengthening international cooperation to enhance the effectiveness of law enforcement in the digital economy era.

This study aims to analyze e-commerce strategies in selecting applicable law and jurisdiction to avoid conflicts of jurisdiction in cross-border transactions. This study employs a normative legal method using legislative, conceptual, and comparative approaches to analyze the selection of applicable law and jurisdiction in cross-border e-commerce transactions. The data used consists of primary and secondary legal materials collected through a literature review. The analysis was conducted qualitatively using descriptive-analytical and legal interpretation methods, as well as deductive reasoning to formulate strategies for minimizing jurisdictional conflicts. The research findings indicate that the application of the principle of freedom of contract, combined with international instruments and digital technology, can serve as an effective strategy for e-commerce actors to minimize jurisdictional conflicts and litigation risks. This strategy not only provides legal protection, particularly for SMEs, but also enhances the trust of global partners and competitiveness in the international market through the use of clear contract clauses, hybrid forums, and technological support such as blockchain and ODR.

The Society 5.0 era promotes the integration of cyber-physical technology through Artificial Intelligence (AI) and Big Data for human welfare, where digital zakat transformation becomes a crucial strategy to bridge the wide gap between national zakat potential (±IDR 327 trillion) and its actual collection. This study aims to analyze digital zakat transformation strategies in accelerating poverty alleviation in Indonesia within the smart society era. The research method employed is a descriptive qualitative approach using a library research method, analyzing literature from the 2020-2025 period sourced from digital databases. The results indicate that the implementation of digital technologies such as fintech platforms, blockchain, and QRIS significantly enhances transparency, accountability, and muzakki trust, while accelerating fund distribution time by up to 50%. Digital-based productive zakat strategies through MSME empowerment have proven effective in increasing mustahik's average income by up to 100%, facilitating the transformation of mustahik into independent muzakki. This study concludes that digital zakat transformation serves as a primary catalyst for achieving the first pillar of the Sustainable Development Goals (SDGs) (No Poverty), although its success requires national regulatory harmonization and the strengthening of technological infrastructure in rural areas.

Study This analyze adaptation system law Indonesian agrarian​ digital transformation, in particular implementation blockchain technology in certification land. Using approach juridical normative, research combining the statute approach with reviewing the UUPA, Regulation of the Minister of ATR/BPN Number 1 of 2021, and the ITE Law, as well as the conceptual approach that examines theory law agrarian, digital transformation, and principles Maqashid Syariah. Secondary data in the form of material primary, secondary, and tertiary law analyzed in a way descriptive qualitative For interpret the relationship between legal norms, theory and digital technology in land. Research results show that harmonization regulations agrarian and digital, blockchain implementation, and integration sharia principles can increase transparency, accountability, and certainty law. Digital transformation accelerates administration, minimizing overlapping overlap ownership, and strengthening governance fair and sustainable land. Research​ This confirm the need strengthening regulation, digital infrastructure, and literacy apparatus For support legal reform agrarian in the digital era.  

This research investigates integration models combining navigation and port information systems through blockchain technology to enhance ship operational reliability, addressing critical challenges in data integrity, information sharing, and system coordination affecting maritime operations. Current maritime information systems operate in silos with limited interoperability, creating information asymmetries, coordination inefficiencies, and data integrity concerns that compromise operational decision-making and safety management. Through qualitative analysis involving ship operators, port authorities, navigation system providers, blockchain specialists, and maritime regulators, this study examines how distributed ledger technology can enable secure, transparent, and tamper-proof information integration across navigation and port systems. Results demonstrate that blockchain-based integration can improve data integrity assurance by 70-90%, reduce coordination time by 40-60%, enhance operational transparency by 55-75%, and decrease documentation errors by 50-70% through immutable records, smart contracts, and decentralized consensus mechanisms. Key implementation challenges include technical complexity, computational requirements, regulatory uncertainty, organizational adoption resistance, and scalability limitations. Findings reveal that blockchain represents transformative enabling technology for maritime digital ecosystems requiring trusted information exchange among multiple stakeholders without centralized intermediaries. This research contributes to maritime information systems literature by providing practical frameworks for blockchain implementation supporting operational reliability enhancement.

Digital transformation has become a critical lever for modernizing maritime logistics, particularly in archipelagic nations where supply chain fragmentation poses persistent operational challenges. This study examines the integration of Internet of Things (IoT) and blockchain technologies as dual mechanisms for enhancing supply chain transparency within Indonesian domestic shipping networks. Employing a qualitative research design supported by thematic analysis, the study engaged maritime logistics experts, port operators, and shipping company representatives as primary respondents. Findings reveal that IoT-blockchain integration significantly improves real-time cargo visibility, reduces documentation fraud, and strengthens regulatory compliance across multi-port supply chains. The research further demonstrates that digital transformation in maritime logistics is not merely a technological upgrade but a governance and institutional reform imperative, particularly given Indonesia's strategic maritime position. Results indicate an overall high performance score across transparency, efficiency, and security indicators, affirming the readiness of key stakeholders to adopt integrated digital solutions. The study contributes a replicable framework for digital maritime logistics governance applicable to archipelagic developing economies seeking sustainable supply chain advancement.

The proliferation of cloud infrastructures has intensified concerns regarding data security, integrity, identity and access management, and user privacy. Despite recent advances, existing solutions often lack comprehensive integration of privacy-preserving mechanisms, dynamic trust management, and cross-provider interoperability. This study proposes an AI-enabled, zero-trust, blockchain-fused identity management framework for secure, privacy-preserving multi-cloud environments. The framework integrates homomorphic encryption with differential privacy for aggregate-level protection and secure multi-party computation for collaborative data processing. The proposed system was validated in a simulated multi-cloud environment using CloudSim, Ethereum blockchain, and AWS EC2. Experimental results indicate homomorphic encryption latency of approximately 450ms per operation and statistically significant security improvements (t(128) = 12.47, p < 0.001), privacy (t(95) = 8.93, p < 0.001), and throughput (t(156) = 15.21, p < 0.001). The framework achieved differential privacy with ε = 0.1 while retaining 99.2% data utility, and demonstrated a 34% improvement in processing speed over conventional differential privacy approaches. In addition, the implementation was observed to be 2.3× faster than BGV-based configurations, with 45% lower memory consumption than CKKS and a 67% reduction in ciphertext size relative to baseline implementations. From an operational perspective, the framework shows a 23% reduction in security management costs, a 31% improvement in resource utilization efficiency, and an 18% decrease in compliance audit expenses. The model further indicates a 27% reduction in total cost of ownership (TCO) compared with multi-vendor security solutions, a projected return on investment (ROI) within 14 months, and an 89% reduction in security incident response costs under the evaluated conditions.

The rapid development of information technology has brought significant changes to various aspects of life, including business and law. One of the key innovations in this context is Blockchain technology. Blockchain has revolutionized information storage and exchange, particularly in the realm of Indonesian contract transactions. It is a decentralized technology that allows for transactions between two parties who do not trust each other, without the need for a third party. The data in Blockchain is stored across the entire network, ensuring that it cannot be altered by a single party without the agreement of the entire network. Furthermore, Blockchain enhances transparency and accountability in data management. This study employs a normative legal research method with a descriptive approach. The findings reveal that Blockchain technology has significant implications for the protection of personal data and the validity of evidence in civil cases. As the technology continues to evolve, its potential to transform legal transactions in Indonesia is undeniable.

Micro, Small, and Medium Enterprises (MSMEs) face significant challenges in financial management, particularly related to transparency and reliability of transaction tracking, which hinders their access to formal financing. This study aims to synthesize scientific evidence regarding the application of blockchain technology in improving the tracking and transparency of financial transactions in MSMEs. Using a Systematic Literature Review (SLR) or Wide Research approach with the PICOS framework, ten (10) relevant primary studies (original research papers) were identified, selected, and analyzed. The synthesis results show that blockchain significantly improves transparency, data security, and cost efficiency in tracking MSME transactions, and has great potential in increasing access to financing through a more credible credit scoring system. However, the main challenges lie in the high initial implementation costs and the need for digital literacy. This study provides a clear roadmap for researchers, policymakers, and practitioners to optimize the adoption of blockchain technology in the MSME sector.

Pesatnya perkembangan teknologi blockchain dan arus globalisasi telah mendorong penggunaan Bitcoin di Indonesia, yang kini diakui sebagai komoditas dalam perdagangan berjangka. Namun, karakteristik anonimitas dan desentralisasi mata uang digital ini membuka celah signifikan bagi kemunculan cybercrime, seperti pencucian uang dan peretasan, yang menuntut perhatian yuridis serius. Penelitian ini bertujuan menganalisis dampak teknologi tersebut terhadap risiko kejahatan siber serta efektivitas regulasi yang berlaku. Metode yang digunakan adalah yuridis normatif dengan pendekatan perundang-undangan untuk menelaah kerangka hukum terkait. Hasil penelitian menunjukkan adanya dualisme regulasi di Indonesia, di mana Bappebti melegalkan Bitcoin sebagai aset investasi, sementara Bank Indonesia melarangnya sebagai alat pembayaran. Ketidaksinkronan ini, diperparah dengan sifat lintas batas blockchain, menciptakan tantangan dalam penegakan hukum terhadap kejahatan siber. Disimpulkan bahwa harmonisasi regulasi antara otoritas keuangan dan penguatan aturan keamanan siber sangat mendesak dilakukan guna memitigasi risiko kejahatan tanpa menghambat inovasi ekonomi digital.

The rapid development of financial technology (fintech) and crypto assets has created a paradox in the global financial system: while promoting inclusion and efficiency, it also opens new vulnerabilities for money laundering offenses. Notaries, as public officials and legal professionals involved in various financial and business transactions, are at the forefront of preventing this misuse. This article analyzes the specific risks of money laundering through fintech and crypto assets and formulates the due diligence framework required by notaries in carrying out their preventive functions. The research method uses a normative juridical approach with doctrinal analysis of regulations and international standards, enriched with case studies and best practice references. The findings indicate that notaries face three main challenges: (1) difficulty in identifying parties in virtual transactions, (2) the volatility and relative anonymity of crypto assets, and (3) the gap between the speed of technological innovation and regulatory adaptation. This article proposes an Enhanced Digital Due Diligence (ED3) model that integrates digital verification technology, blockchain forensic analysis, and a dynamic risk-based approach. This framework is expected to strengthen the role of notaries as gatekeepers in the rapidly evolving digital financial ecosystem while maintaining the profession's relevance in the era of digital transformation.

The increasing integration of Cyber physical Systems (CPS) into industrial environments has highlighted the need for secure, scalable, and efficient cryptographic key management systems. Traditional centralized key management protocols are often limited by vulnerabilities such as single points of failure, scalability issues, and significant overhead. Blockchain technology presents a promising solution to these challenges by leveraging decentralization, immutability, and transparency to enhance security and efficiency in CPS. This study investigates the use of blockchain based cryptographic key management systems, focusing on smart contracts for automated key distribution and rotation. Experimental results demonstrate that blockchain based systems significantly improve system integrity, auditability, and resilience, offering enhanced protection against cyber-attacks and reducing the risks associated with centralized systems. Blockchain’s decentralized architecture eliminates the need for a central authority, making it more resistant to tampering and operational failures. Additionally, smart contracts automate the key management process, improving efficiency while maintaining a high level of security. The study also evaluates the impact of blockchain on communication performance, finding that it reduces latency and overhead by automating processes and eliminating the need for centralized control. Despite these advantages, challenges such as scalability, latency, and integration with legacy systems remain. The study concludes by suggesting future research directions, including the development of lightweight blockchain protocols tailored for industrial applications and the integration of blockchain with emerging technologies like Artificial Intelligence (AI) to further enhance key management in CPS. Blockchain based solutions have the potential to transform the security landscape of industrial environments, offering greater robustness, reliability, and trust.

The integration of Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems has emerged as a critical strategy for modern digital enterprises aiming to enhance customer experience and operational efficiency. This study examines the impact of CRM-ERP integration on customer satisfaction, personalized service, and organizational responsiveness. By adopting a mixed-methods approach, this research combines quantitative customer data analysis and qualitative managerial interviews to assess the benefits and challenges of CRM-ERP integration. Key findings highlight significant improvements in customer experience, with increased satisfaction and personalized interactions facilitated by a unified view of customer data. Operational efficiencies were also realized through streamlined processes, better alignment of departments, and enhanced decision-making based on real-time, data-driven insights. Despite these positive outcomes, challenges such as system integration complexities, data fragmentation, and resistance to change were identified, which hindered the speed of integration and full utilization of the systems. This study demonstrates that CRM-ERP integration provides a competitive advantage by improving both customer service and business agility, particularly in industries undergoing digital transformation. For digital enterprises, integrating these systems is crucial for maintaining a seamless customer experience across various touchpoints and achieving greater operational effectiveness. The paper concludes by suggesting future research on the long-term impact of CRM-ERP integration on customer loyalty, business growth, and the potential role of emerging technologies like AI and blockchain in further enhancing these systems.