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International Journal of Information Engineering and Science
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30481902     EISSN : 30481953     DOI : 10.62951
Core Subject : Engineering,
Engineering
The scope of the this Journal covers the fields of Information Engineering and Science. This journal is a means of publication and a place to share research and development work in the field of technology
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 24 Documents
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Addition of Plastic Mixture (LDPE) for the Development of Alternative Mixtures in Concrete Blocks Abdullah, Abdullah; Erna Yuliwati; Eka Sri Yusmartini
International Journal of Information Engineering and Science Vol. 2 No. 3 (2025): August : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i3.301

Abstract

This study investigates the potential of Low-Density Polyethylene (LDPE) plastic waste as a partial substitute for sand in concrete block mixtures, focusing on its effects on compressive strength and water absorption. LDPE is a non-biodegradable plastic waste that poses significant environmental challenges. Its incorporation into construction materials offers a promising solution to reduce pollution while enhancing the performance of building components. The research employed LDPE substitution levels of 10%, 15%, 20%, 25%, and 30% by weight of sand, compared against conventional concrete blocks without LDPE. Experimental results revealed that the highest compressive strength was achieved with a 15% LDPE mixture, reaching 80.762 kg/cm² at 28 days of curing—an increase of approximately 40.8% compared to normal blocks, which recorded 57.359 kg/cm². LDPE additions up to 20% maintained favorable strength characteristics, while higher proportions (25% and 30%) led to a decline in mechanical performance. In terms of water absorption, the inclusion of LDPE demonstrated a decreasing trend, attributed to the hydrophobic nature of plastic, which enhances moisture resistance in the concrete blocks. These findings suggest that a 15% LDPE substitution represents an optimal formulation for producing eco-friendly concrete blocks with improved strength and reduced water absorption. The study highlights the dual benefits of waste management and material innovation, aligning with sustainable development goals. By repurposing plastic waste into construction applications, this approach not only mitigates environmental impact but also contributes to the advancement of green building technologies. Further research is recommended to explore long-term durability, thermal properties, and scalability of LDPE-based concrete products in real-world construction settings.
Exploring the Integration of Information Systems and Security Challenges in Afghanistan’s Current Market Sayed Zakariya Habib; Mohammad Ali Fahimi; Mir Mohammad Naim Sadat
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.323

Abstract

This study aims to investigate the integration of information systems and the associated security challenges within Afghanistan's current market, emphasizing the complex relationship between technological innovation, governance stability, and institutional readiness. Using the Delphi method, the study engaged experts from academia, government, and the private sector to identify key barriers and enablers shaping Afghanistan's digital transformation. Findings reveal that the country's progress in adopting information systems is hindered by fragmented policies, weak cybersecurity awareness, infrastructure limitations, and dependency on donor-funded projects. Despite growing recognition of the importance of digitalization, Afghanistan's institutional fragility continues to impede coordinated implementation and sustainable innovation. Comparative insights with other emerging markets highlight that long-term investment in digital literacy, regulatory coherence, and private sector engagement are critical to overcoming these barriers. The study highlights the importance of adopting a hybrid developmental model that harmonizes local institutional realities with internationally recognized technological standards, fostering adaptability and resilience within Afghanistan's volatile environment. It advances existing understanding by demonstrating how governance reform, human capital enhancement, and cybersecurity integration function as mutually reinforcing components of the nation's digital transformation. Sustainable progress depends on establishing a unified national vision that bridges technology, education, and governance, thereby reinforcing market integrity and institutional stability amid persistent security and economic uncertainty.
Customer Data Management Analysis for Customer Segmentation Using K-Means Clustering Method Andre Leto; Reza Aminullah; Ani Dijah Rahajoe
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.345

Abstract

This study aims to examine customer segmentation through K-Means clustering from a customer data management perspective, emphasizing the interpretive value of analytical results rather than solely their computational outcomes. The research addresses a critical issue in contemporary data-driven organizations, where customer analytics is often reduced to technical modeling without sufficient translation into managerial insights. To respond to this gap, the study adopts a qualitative interpretive approach embedded within a quantitative clustering process, positioning clustering as part of a broader information management cycle. The empirical analysis is based on the Mall Customers Dataset obtained from Kaggle, consisting of 200 customer records with numerical attributes representing age, annual income, and spending score. Quantitative processing using K-Means clustering was employed to identify customer segments, while qualitative interpretation was applied to analyze the managerial meaning of each cluster. Data interpretation was supported by analytical documentation, visualization outputs, and reflective analysis of cluster characteristics. The findings reveal four distinct customer segments with different behavioral and economic profiles, each carrying specific strategic implications for customer relationship management and marketing decision-making. The study demonstrates that the primary value of clustering lies not merely in segment formation, but in its ability to transform raw customer data into actionable managerial knowledge. In conclusion, this research contributes to customer analytics literature by integrating data mining techniques with qualitative interpretation, offering a more human-centered and decision-oriented framework for customer data management. Future research is encouraged to extend this approach using organizational case studies or participatory decision-making contexts.
Humanist Librarians in the AI Era : Maintaining Human Values in Information Services Azwar Azwar
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.327

Abstract

The development of artificial intelligence (AI) technology has brought about a major transformation in the world of libraries and information services. Automation, data analysis, and AI-based recommendation systems have increased the efficiency and accessibility of information for users. These advances also pose new challenges for librarians, particularly in maintaining human values ​​in the service process. Humanist librarians in the AI ​​era are required not only to understand technology but also to maintain an ethical, empathetic, and communicative role in interactions with users. This research uses a literature review to address the questions raised. Librarians, as mediators between technology and humans, act as bridges between digital literacy and ethical information, maintaining warmth and empathy in library services. By prioritizing human values ​​such as empathy, responsibility, and information justice, librarians can ensure that the application of AI in libraries remains oriented toward human needs and does not diminish the essence of civilized service.

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