cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Zainal A.Hasibuan
Contact Email
zainalhasibuan@aptikom-journal.id
Phone
+62 85778834017
Journal Mail Official
itsdi@aptikom-journal.id
Editorial Address
Premier Park 2 Ruko Blok B-11 Jl. Kampung Kelapa PLN Kel. Cikokol Kec. Tangerang, Tangerang, Provinsi Banten
Location
Kota tangerang,
Banten
INDONESIA
IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Published by Pandawan Sejahtera Indonesia
ISSN : 26866285     EISSN : 27150461     DOI : https://doi.org/10.34306/itsdi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology
IAIC Transactions on Sustainable Digital Innovation (ITSDI e-ISSN : 2715-0461 , p-ISSN : 2686-6285 ) managed by Indonesian Association on Informatics and Computing (IAIC) and supported by Alphabet Incubator . ITSDI provides media to publish scientific articles from scholars and experts around the world related to the Computer Science/informatics, Computer engineering/computer systems, Software Engineering, Information Technology, and Information Systems, Circular Digital Economy, Cyber Security, Data Science, and Artificial Intelligence topics. All URL of published articles will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 135 Documents
 10   11   12   13   14 
Data-Driven Innovation for Circular Digital Economy in Sustainable Urban Development Lukita, Chandra; Handra, Tessa; Oganda, Fitra Putri; Laurens, Mackenzie
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.710

Abstract

The rapid advancement of digital technology has transformed how cities innovate and sustain their growth, making data-driven innovation a crucial element in achieving sustainable urban development. This study aims to examine the integration of data analytics, artificial intelligence, and Internet of Things within the framework of a circular digital economy to promote smarter, greener, and more resilient cities aligned with the Sustainable Development Goals. Using a Systematic Literature Review method, the research collected and analyzed publications from 2015 to 2024 obtained from major academic databases such as Scopus, ScienceDirect, and IEEE Xplore. The results show that data accessibility, interoperability, and digital infrastructure enhance efficiency in energy, mobility, and waste management, while digital tracking supports circularity and resource optimization. Governance that applies human-centered design further ensures inclusivity and transparency in urban systems. Overall, the findings highlight that data serves not only as a technological asset but also as a strategic driver for sustainable transformation. The study concludes that integrating data-driven innovation with circular economy principles strengthens collaboration among governments, industries, and communities, enabling cities to achieve long-term sustainability and contribute effectively to global goals such as innovation, responsible consumption, sustainable cities, and climate action.
The Implementation of ISO 9001:2015 in Drainage Project Execution Based on Failure Mode and Effect Analysis (FMEA) Wikoyati, Mira; Kurniyaningrum, Endah
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 2 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i2.713

Abstract

Urban drainage projects play a strategic role in controlling runoff and mitigating flooding. However, construction quality issues often arise during implementation, leading to channel failure. This study aims to analyze the impact of implementing the ISO 9001:2015 Quality Management System on the quality of drainage projects using the Failure Mode and Effect Analysis (FMEA) approach, through a case study of the Rasuna Said drainage channel in Kuningan, Jakarta. The research methodology combines primary and secondary data obtained through field observations, interviews, questionnaires based on ISO 9001:2015 clauses, and project document analysis. Quality risk identification is conducted using the FMEA method, with severity, occurrence, and detectability parameters assessed to determine the Risk Priority Number (RPN). The results show that the main failure modes with the highest risk levels include mismatched channel elevation and slope, loosely fitting channel element connections, uneven subgrade compaction, and initial sedimentation due to weak work environment controls. These risks are generally related to the field operational stage and the suboptimal application of the risk based thinking principle in ISO 9001:2015. The integration of the FMEA method with ISO 9001:2015 has been proven to identify and prioritize quality risks more systematically and support the development of measurable mitigation actions. This study concludes that the implementation of ISO 9001:2015, integrated with FMEA, can improve the effectiveness of quality control, minimize the risk of construction failure, and support the sustainability of urban drainage projects.
Customer Purchase Patterns and Loyalty in MSME Catering Businesses Using the RFM Method Shokory, Suzyanty Mohd; Wahab, Nadratun Nafisah Abdul; Zanubiya, Jihan; Zainol, Zuraidah
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 2 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i2.724

Abstract

The increasing competition in the catering industry necessitates a data-driven understanding of consumer behavior to support effective customer retention strategies. This study aims to identify customer purchase patterns and loyalty in MSME Catering using the RFM (Recency, Frequency, Monetary) method based on transaction data from January 2025 to May 2026. This research addresses a gap in the literature regarding the application of transaction-based analytics for customer loyalty in MSMEs, which previously relied more on surveys or subjective perceptions. A total of 564 transactions from 80 unique customers were analyzed quantitatively, processed using Google Sheets, and visualized with Tableau. The results indicate that 55 customers (68.75%) are classified as loyal, while 25 customers (31.25%) are new customers. RFM segmentation grouped customers into Champions, Loyal Customers, Potential Loyalist, Need Attention, and Lost Customers, with the majority in the Potential Loyalist, Need Attention, and Lost segments. In addition to descriptive statistics, the relationship between purchase frequency and monetary value was examined to provide deeper insights into customer behavior. The findings demonstrate that the RFM approach provides a structured understanding of customer loyalty and transaction value, supporting the development of targeted marketing strategies, including loyalty programs, reminder promotions, reactivation campaigns, and customer engagement initiatives. This study contributes a practical RFM-based analytical framework applicable to MSMEs to enhance retention and marketing effectiveness.
Artificial Intelligence Enhancing Financial Regulatory Compliance Through RegTech Governance Applications Wisnu Wira Atmadja Effendi; Maswanto Maswanto; Ma’mun Murod; Isabella Maria
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 2 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i2.716

Abstract

The increasing complexity of global financial regulatory frameworks poses significant challenges for financial institutions in ensuring compliance, managing risk, and maintaining operational efficiency, particularly in environments characterized by frequent regulatory updates and cross-jurisdictional requirements. This study aims to examine how Artificial Intelligence (AI) can be effectively applied to navigate complex regulatory frameworks by enhancing regulatory interpretation, compliance monitoring, and decision-making processes. A conceptual and analytical approach was adopted, combining a systematic review of recent Regulatory Technology (RegTech) literature with an analysis of AI techniques, including machine learning, natural language processing, and automated reasoning, as applied to regulatory compliance scenarios. Qualitative insights and illustrative use cases were employed to evaluate alignment between AI capabilities and regulatory demands in areas such as regulatory reporting, risk assessment, and anomaly detection. The findings indicate that AI-based systems have the potential to improve the accuracy, speed, and adaptability of compliance processes by supporting automated regulatory interpretation, identifying potential compliance risks, and enhancing monitoring of regulatory changes. When appropriately governed, AI may reduce human error and operational costs while increasing transparency and auditability. The study concludes that AI has strong potential to transform the way financial institutions navigate complex regulatory frameworks, but its effectiveness depends on robust data governance, explainable AI models, and alignment with ethical and legal standards, and it provides strategic insights for regulators and financial institutions seeking responsible adoption of AI in highly regulated financial environments.
Design and Development of an Augmented Reality Learning Medium for the Conservation of the Endemic Flora Balikpapan Ginger (Etlingera balikpapanensis) Fulkha Tajri M; Olivia Febrianty Ngabito; Denny Huldiansyah; Azzah Nafisah Sofyan; Muhammad Bintang Kurniawan; Surya Abdi Pratama
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 8 No 1 (2026): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v8i1.728

Abstract

Balikpapan Ginger (Etlingera balikpapanensis) is an endemic flora of East Kalimantan with significant ecological, historical, and economic value, yet it remains largely unknown among the general public, particularly students. This condition highlights the need for innovative learning media to support environmental awareness and conservation education in a more engaging and accessible manner. Although Augmented Reality (AR) has been widely applied in environmental and biological education, prior studies mainly focus on general species and lack contextual integration of locally endemic flora into conservation learning. This study addresses this gap by developing a location-specific AR-based learning application that integrates scientific botanical data with interactive visualization to enhance local environmental literacy. The development process follows the Multimedia Development Life Cycle (MDLC), including concept, design, material collection, assembly, testing, and distribution. The evaluation involved 15 respondents, including administrators and adult visitors of the Balikpapan Botanical Garden, using a five-point Likert scale to assess technical feasibility, educational value, engagement potential, conservation relevance, and technical stability. The results indicate a high level of acceptance, particularly in educational value and engagement aspects, demonstrating the effectiveness of the application as a learning medium. These findings suggest that AR-based applications can support environmental education by providing immersive and interactive learning experiences aligned with constructivist learning theory and Mayer’s Cognitive Theory of Multimedia Learning

Page 14 of 14 | Total Record : 135

 10   11   12   13   14 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol 8 No 1 (2026): October Vol 7 No 2 (2026): April Vol 7 No 1 (2025): October Vol 6 No 2 (2025): April Vol 6 No 1 (2024): October Vol 5 No 2 (2024): April Vol 5 No 1 (2023): October Vol 4 No 2 (2023): April Vol 4 No 1 (2022): October Vol 3 No 2 (2022): April Vol 3 No 1 (2021): October Vol 2 No 2 (2021): April Vol 2 No 1 (2020): October Vol 1 No 2 (2020): April Vol 1 No 1 (2019): October More Issue