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All Journal Jurnal Rekayasa Sistem Industri Jurnal Riset Keuangan dan Akuntansi (JRKA) Dinamisia: Jurnal Pengabdian Kepada Masyarakat SEIKO : Journal of Management & Business JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Jurnal Pendidikan Akuntansi dan Keuangan Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis Jurnal Ilmiah Edunomika (JIE) International Journal Of Science, Technology & Management (IJSTM) Komitmen : Jurnal Ilmiah Manajemen MOVE: Journal of Community Service and Engagement Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Fleksibel: Jurnal Pengabdian Kepada Masyarakat Journal Economic Excellence Ibnu Sina Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Jurnal Pemberdayaan Masyarakat (JUPEMAS)
Rizki Indrawan
Departement Of Accounting, Universitas Kuningan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Transportation Other

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AIoT Driven Smart Solar System for Real Time Predictive Sustainable Energy Management Indrawan, Rizki; Very, Eka Dawn; Tribuana, Dhimas; Nabila, Efa Ayu
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.968

Abstract

The rapid expansion of solar photovoltaic (PV) technologies has increased the demand for intelligent, adaptive, and data-driven energy management systems. However, conventional and IoT only solar infrastructures still face limitations, including inefficient energy distribution, delayed fault detection, and an inability to respond dynamically to fluctuating environmental conditions. This study proposes an AIoT-based Smart Solar System that integrates IoT-enabled sensing modules with artificial intelligence for real-time monitoring, predictive analytics, and autonomous control. The system employs a distributed architecture consisting of edge devices, cloud analytics, and machine learning models particularly Long Short-Term Memory (LSTM) networks and regression-based predictors to enhance forecasting accuracy and operational responsiveness. The objective of this research is to improve power utilization, predictive reliability, and maintenance efficiency within solar energy systems. Experimental results demonstrate a 22.8% increase in power utilization, a 17% reduction in maintenance downtime, and a forecasting accuracy of 95.2% (R2 = 0.952). These findings indicate that AIoT integration significantly enhances energy intelligence, system reliability, and sustainability. Overall, the proposed architecture establishes a scalable foundation for next generation renewable energy systems capable of self learning, adaptive optimization, and real-time decision making.
Utilizing Blockchain for Trustworthy and Transparent AI Decision Making Herman Herman; Rohim Rohim; Rizki Indrawan; Chua Toh Hua
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v6i1.1031

Abstract

The increasing adoption of AI in critical sectors such as healthcare, finance, transportation, and public services raises significant challenges related to transparency, accountability, and trust in automated decision-making processes, particularly since many AI models still operate as black boxes that are difficult to interpret and audit. This study investigates the potential of integrating blockchain technology to enable trustworthy and transparent AI decision-making and is conducted under the framework to systematically design, implement, and evaluate the proposed solution. The proposed framework records AI inference results and relevant metadata onto the blockchain through smart contracts to ensure data immutability and traceability. A prototype system is developed and evaluated using a mixed-method approach, combining qualitative analysis of transparency and auditability with quantitative measurements of system performance such as latency and overhead. The results demonstrate that blockchain integration significantly enhances auditability, data integrity, and user trust compared to conventional AI systems. However, several limitations are identified, including scalability issues, transaction costs, and increased latency caused by on-chain recording processes. Despite these challenges, the proposed approach shows strong potential to improve the accountability of AI systems in high-risk environments and contributes a practical framework along with empirical insights for organizations seeking to adopt transparent and reliable AI, while also opening opportunities for further development through architectural optimization and the adoption of layer-2 blockchain technologies.
Governance Models for Blockchain Integrated IoT Ecosystems Indrawan, Rizki; Ratih, Arista; Agustian, Harry; Evans, Richard
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.974

Abstract

The rapid advancement of the Internet of Things (IoT) has led to the creation of large-scale interconnected networks of smart devices capable of autonomously collecting, processing, and exchanging data in real time across diverse application domains. While this development offers significant benefits, it also introduces critical challenges related to data security, privacy protection, interoperability, and the increasingly complex governance of distributed IoT systems. Traditional centralized governance approaches often fail to address these issues effectively due to single points of failure, limited transparency, and insufficient trust mechanisms. The integration of blockchain technology into IoT ecosystems provides a promising alternative by leveraging decentralized architecture, immutable ledgers, transparency, and tamper-resistant features that enhance accountability and trust. This study aims to identify and design an appropriate governance model for blockchain-integrated IoT systems that balances security, operational efficiency, and decentralization. The research adopts a conceptual and qualitative approach through a systematic literature analysis and the synthesis of existing governance, blockchain, and IoT frameworks to develop a structured governance model. The proposed framework defines institutional roles, policy structures, decision-making processes, and control mechanisms among participating entities. The results demonstrate that a blockchain-based governance model enhances system security, operational efficiency, and inter-organizational trust by reducing reliance on centralized authorities and improving data integrity. In addition, the use of smart contracts enables automated policy enforcement, transparent coordination, and sustainable system operations, supporting scalable and resilient governance for future blockchain IoT ecosystems.
Co-Authors Aam Rachmat Mulyana Agustian, Harry amanah, nurul Amelia Setiawan Anisa Dwi Wahyuni Anissa Yuniar Larasati Anissa Yuniar Larasati Annisa Yuniar Larasati Cahyo Aji Pangestu Chua Toh Hua Dea Amara Dhimas Tribuana Eka Septriarini Eni Wahyu Setyaningsih Evans, Richard Hamfri Djajadikerta Herman Herman Heryanti, Ajeng Nuraeni Hilmii Rosyidatul Ummaht Iman Teguh Lukni Burhanudin Mali Amilusholihah Marisa Wijayanti Marlina Marlina Mawardiana, Doni Muhammad Fauzi Akbar Nabila, Efa Ayu Nurfatimah, Siti Nuke Oktaviani Rita Puspasari Oktaviani Rita Puspitasari Purwanto Purwanto Radite, Farhan Ali Wibowo Ratih, Arista Rohim Rohim Romli Romli, Romli Sofia Windarti Suhendar, Dadang Ummaht, Hilmii Rosyidatul Usman Sastradipraja Very, Eka Dawn Vicky Dzaky Cahaya Putra Wiwi Hartika