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Zainal A.Hasibuan
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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 3 Documents
 1 
Search results for , issue "Vol 7 No 2 (2026): April" : 3 Documents clear
Decision Making on Breakwater Type Selection on Tidung Island, Thousand Islands Soepradono, Bram; 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.v7i2.701

Abstract

Tidung Island, a major tourist destination in the Thousand Islands, faces coastal erosion caused by wave energy, tidal currents, and anthropogenic activities, which threaten coastal ecosystems, marine tourism quality, and residential areas. Coastal protection measures have been implemented through wave protection structures. However, their performance has been suboptimal due to limited maintenance, design incompatibility with local hydro-oceanographic conditions, and the absence of a systematic approach for selecting breakwater types. This study aims to identify the criteria and sub-criteria influencing breakwater selection and determine the most suitable structure for Tidung Island using the Analytic Hierarchy Process (AHP). The AHP model integrates technical, environmental, socio-economic, field condition, and construction method aspects, based on secondary hydro-oceanographic data (tides, wind, wave height, and effective fetch) and expert judgments through pairwise comparisons. The results show that technical aspects have the highest priority (0.312), followed by environmental aspects (0.268), field conditions (0.201), socio-economic factors (0.127), and implementation methods (0.092), with all consistency ratio values below 0.10. The selected structure is a hollow cube breakwater with a filter-coated rockfill foundation, as it provides an optimal balance between technical performance, cost efficiency, ease of implementation in shallow waters, and manageable environmental impacts. This AHP-based model can support sustainable coastal protection decision-making.
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.

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