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All Journal Aptisi Transactions on Management ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Richard Evans
Adi-Journal Incorporation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Other

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AI-Driven Inorganic Waste Sorting System for Sustainable Public Facilities Po Abas Sunarya; Rifqa Nabila Muti; Ruli Supriati; Ryo Satya Pradhana; Richard Evans
ADI Bisnis Digital Interdisiplin Jurnal Vol 7 No 1 (2026): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adna8m65

Abstract

The rapid accumulation of inorganic waste in urban environments requires an effective and sustainable technological approach. Conventional sorting methods that rely entirely on human awareness are often inefficient, labor-intensive, and prone to error, leading to minimal reduction in waste volume at the source. This study aims to design an automatic waste sorting system named ”Orange Box” utilizing Artificial Intelligence and Computer Vision methods implemented on a Raspberry Pi 5 to achieve high-speed and accurate waste classification. The system employs a V2 Camera Module for visual data acquisition and the BCM2712 processor to run a MobileNetV2 model trained on a custom dataset of 50 images. The waste is classified into plastic bottle and cup. Physical separation is executed by MG995R Servo Motors supported by a 20A Power Supply Unit.Performance testing demonstrates that the system achieves a classification accuracy of 92% with an average inference time of 45 Ms per image. Electrical analysis shows stable operation with an average power consumption of 10.50 – 11.10 Watt during processing and a peak load of 17.17 Watt during actuator movement. The integration of Raspberry Pi 5 successfully overcomes latency issues found in previous studies, providing a real-time, energy-efficient, and consistent sorting solution suitable for deployment in public facilities and smart city infrastructures.
Governance Models for Blockchain Integrated IoT Ecosystems Rizki Indrawan; Arista Ratih; Harry Agustian; Richard Evans
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.
Digital Maturity and Transformation Readiness Across Indonesian Industries Yane Devi Anna; Yulina Ismiyanti; Richard Evans
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/d53ekp67

Abstract

Indonesia is experiencing a rapid digital transformation driven by national initiatives such as Making Indonesia 4.0 and the Digital Economy Roadmap 2030. However, prior studies consistently report uneven digital maturity across industries due to disparities in infrastructure, digital skills, leadership commitment, and strategic alignment. This study adopts a Systematic Literature Review (SLR) to synthesize empirical and conceptual evidence on digital maturity and digital transformation readiness across industries in Indonesia and comparable emerging economies. The review focuses on six dominant dimensions identified across prior studies, namely digital strategy alignment, IT infrastructure, data analytics capability, leadership commitment, employee capability, and innovation culture. The synthesis reveals that banking and financial services exhibit the highest level of digital maturity, followed by manufacturing and logistics. At the same time, MSMEs, education, and healthcare remain in early to developing stages. Leadership commitment, workforce digital skills, and data analytics capability consistently emerge as the most critical drivers of transformation readiness. This study contributes theoretically by integrating fragmented findings on digital maturity into a coherent conceptual framework relevant to emerging economies. Practically, the results support national digital policy development and align with SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure) by emphasizing inclusive digital capability development.
Digital Platforms for Integrated Rural Transformation in the TEKAD Program Leroy Samy Uguy; Esther Kembauw; Maulida Nurfajrianti; Richard Evans
APTISI Transactions on Management (ATM) Vol 10 No 3 (2026): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/dqpzz130

Abstract

Digitalization has become one of the foundational elements for the modernization of subsistence-based rural economies. The present study examines the implementation and performance of the Management Information System (MIS) and the Eastern Indonesia Gateway (EIG) in the Transformasi Ekonomi Kampung Terpadu (TEKAD) program. The study contributes by offering an integrated evaluative perspective that links digital governance, market visibility, fiscal latency, asynchronous processing, and visual pedagogy in rural transformation. Based on the 2025 Progress Report and 2021 Baseline Surveys over nine provinces in Eastern Indonesia, we describe how digital platforms enable evidence-based decision-making and market linkage. Based on statistical findings, the program has reached 101,920 households, representing 61.6% of the target beneficiaries. Despite this progress, several barriers remain, including a low budget absorption rate of 10.43%, which is largely associated with bureaucratic fiscal delays, limited literacy in remote districts such as Pegunungan Arfak, infrastructure gaps, and discontinuity in field-level facilitation, indicating that rural digitalization is constrained not only by technological limitations but also by fiscal latency and bureaucratic challenges nevertheless, the study highlights that rural digital platforms can support sustainable management, risk governance, financial transparency, and future fintech or blockchain-enabled accountability in village economic transformation, particularly when supported by asynchronous processing mechanisms that allow data to be stored locally and synchronized when connectivity becomes available, as well as visual teaching methods such as infographics, screen-based tutorials, and simplified digital training materials for village cadres.
A Framework for Mining Customer Data in Management Information Systems Untung Rahardja; Ninda Lutfiani; Agung Rizky; Yul Ifda Tanjung; Richard Evans
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m5qymx32

Abstract

The exponential growth of customer data within Management Information Systems (MIS) has generated an urgent need for structured analytical approaches capable of transforming raw information into valuable insights that support decision-making across various organizational processes. This study aims to develop a comprehensive and systematic framework for mining customer data in MIS by integrating preprocessing procedures, machine learning algorithms, and model evaluation techniques into a unified analytical workflow. Using the Design Science Research methodology, the framework was designed based on existing data mining standards, developed through iterative refinement, and demonstrated using a customer-behavior dataset processed with clustering, classification, and association rule mining techniques. The findings reveal that the proposed framework improves data quality, enhances segmentation accuracy, and strengthens predictive capability, enabling MIS to deliver deeper insights into customer behavior, purchasing tendencies, and potential churn risks. Experimental results show that combining K-Means, Random Forest, and Apriori algorithms yields more comprehensive and reliable patterns compared to using a single analytical technique. The outcomes of this research highlight the practical significance of applying an integrated data mining approach in MIS, allowing organizations to optimize marketing strategies, personalize services, and make more informed managerial decisions. Overall, this study contributes to the field by offering a scalable, adaptable, and effective framework for implementing customer data mining within real-world MIS environments.
Orange Technology for Humanistic Innovation in Higher Education Shesilia Wibowo; Irene Apriani Widjaya; Jihan Zanubiya; Richard Evans; Untung Rahardja
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.899

Abstract

Amidst the rapid adoption of technology in education, a crucial challenge arises regarding the risk of dehumanizing learning. This study examines Orange Technology as a humanistic innovation approach that seeks to balance digital advancement with human values. Using a qualitative descriptive approach, this research analyzes literature from academic journals and technology education reports, which are then evaluated through a SWOT framework. The analysis results indicate that while Orange Technology holds significant potential to enhance students’ mental well being, digital empathy, and emotional engagement, its implementation faces significant challenges, including limited human resources and inadequate ethical regulations. Therefore, it is concluded that the success of this implementation requires a holistic strategy encompassing investment in human resource training, policy development, and interdisciplinary collaboration. This innovation model has strategic relevance to the Sustainable Development Goals (SDGs), particularly Goal 4 (Quality Education). By focusing on character development and mental well-being, this research contributes to creating an education system that is not only efficient but also inclusive, equitable, and relevant to the holistic needs of future generations.
Co-Authors Agung Rizky Arista Ratih Esther Kembauw Harry Agustian Irene Apriani Widjaya Jihan Zanubiya Leroy Samy Uguy Maulida Nurfajrianti Ninda Lutfiani Po Abas Sunarya Rifqa Nabila Muti Rizki Indrawan Ruli Supriati, Ruli Ryo Satya Pradhana Shesilia Wibowo Untung Rahardja Yane Devi Anna Yul Ifda Tanjung Yulina Ismiyanti