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Rizky Jumansyah
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International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Published by Universitas Komputer Indonesia
ISSN : 28100670     EISSN : 27755584     DOI : https://doi.org/10.34010/injiiscom
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
FOCUS AND SCOPE INJIISCOM cover all topics under the fields of Computer Engineering, Information system, and Informatics. Informatics and Information system IT Audit Software Engineering Big Data and Data Mining Internet Of Thing (IoT) Game Development IT Management Computer Network and Security Mobile Computing Security For Mobile Decision Support System Web and Cloud Computing Accounting Information system Electrical and Computer Engineering Sensors and Trandusers Signal, Image, Audio and Video processing Communication and Networking Robotic, Control and Automation Fuzzy and Neural System Artificial Intelligent
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 146 Documents
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Optimized Resonance Control in Gold T-shaped Nanoantennas for Advanced Plasmonic Applications Mahmud, Tanjoy; Ekra, Md Emadur Rahman; Ahmed, Tanvir; Bachar, Dipayon; Mahmud, Tonmoy
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

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Abstract

Nanoscale resonant optical antennas are highly regarded for their capacity to enhance electric fields in localized volumes smaller than the diffraction limit. This makes them particularly attractive for coupling with quantum emitters. However, a significant challenge in applications involving spectral shifts is fabricate nanoantennas that provide two distinct resonances—one at the excitation frequency and another at the emission frequency. To address this, we propose a coupled T-shaped nanoantenna design that allows for independent control of the resonances, while sharing a common electromagnetic hot spot within the antenna gap. We present the fabrication of such structures and evaluate their spatial, time-integrated, spectral, and polarization-dependent electromagnetic field characteristics, both experimentally and theoretically. The nanoantennas display two separate resonances, each with distinct spectral and polarization behaviors. These resonance wavelengths can be independently adjusted by changing the geometry of the individual T-shaped antennas.
Degradation of Free-Space Quantum Communication Under Dust Aerosol Conditions Dipayon Bachar; Tanjoy Mahmud; Hasibul Hasan shanto; Sayeda Raisa Ilma
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.16000

Abstract

Quantum communication offers unprecedented security based on quantum mechanics principles. However, atmospheric factors significantly challenge free-space channels. This study investigates optical quantum signal degradation under dust aerosol conditions. Analyzing absorption and scattering characteristics, we evaluate link attenuation, channel bit error rate, particle concentration, and transmission distance. We examine channel capacity and fidelity across three quantum noise models: depolarization, amplitude damping, and bit-flip channels. Simulations show that particle concentration and transmission distance uniquely impact each channel. Consequently, free-space quantum communication performance is degraded to varying degrees by dust aerosols, emphasizing the need for robust environmental mitigation strategies
The Business of Big Data: How Data Collection Influences Consumer Behavior and Market Trends Irfan Rashid
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.16670

Abstract

In the digital transformation era, the strategic use of big data is a key mechanism defining consumer behavior and influencing market trends. This study explores how businesses collect, analyze, and utilize consumer information to create personalized appeals, leverage marketing opportunities, and anticipate buying habits. Based on empirical research and industry reports, the paper highlights the symbiotic relationship between data-driven decision-making and consumer responses. Furthermore, it addresses critical ethical considerations, including privacy, transparency, and informed consent in data collection practices. Ultimately, these findings indicate that while big data offers businesses unparalleled foresight into future marketplace dynamics, it also necessitates responsible data management to maintain consumer trust and ensure sustainable market growth. 
The Social and Economic Impacts of Big Data on National Privacy and Identity Rashid, Irfan Rashid
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

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Abstract

The paper examines how financial transparency influences the extent of trust of philanthropists with Non-Governmental Organizations (NGOs) in Punjab, Pakistan. NGOs are also involved in solving social problems including poverty reduction, health, and education and their activities depend greatly on the donations of philanthropists. But there have been allegations of mismanagement of finances and poor transparency that have raised doubts among donors. Quantitative method was also used to collect data on 100 philanthropists using structured questionnaires to evaluate their financial transparency perceptions in NGO funds utilization. The findings indicate that there is a strong positive correlation between financial transparency and donor trust because philanthropists are keen on availability of financial reports, independent audits, and disclosure of funds. This paper indicates that NGOs need to emphasize on transparent financial dealings to develop trust among the donors who are willing to offer long-term assistance. The results indicate that the increased transparency of financial reporting can play an important role in improving the trust of philanthropists, which will eventually make NGOs sustainable and credible.
The Prospective Role of Machine Learning in Shaping Project Management Knowledge Areas Ali Areshey; Omer Alrwais
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.17893

Abstract

Machine learning (ML) is transforming various industries, including project management. However, a significant gap remains in understanding how ML impacts key areas of project management. This lack of clarity may prevent organisations from fully harnessing ML to improve project outcomes, enhance efficiency, and optimise resource allocation. Bridging this gap is crucial to unlocking ML's potential for driving more effective project management practices. This study examines the role of machine learning in project management, with a focus on forecasting, risk management, and resource optimization. It identifies popular algorithms like SVM, ANN, and RF, while also exploring the potential of LSTM and CNN for handling sequential data. The study observes a growing trend towards hybrid models that combine traditional and advanced techniques, although simpler models such as DT and regression remain valued for their reliability. It highlights ML's benefits in boosting project efficiency and addresses challenges related to data requirements and algorithm complexity, offering recommendations for adopting scalable and interpretable models
Repositioning Artificial Intelligence as a Core Enabler of Educational and Entrepreneurial Ecosystems in Nigeria Adelakun, Najeem Olawale; Mande, Samaila
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

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Abstract

This study investigates Artificial Intelligence (AI) as a catalyst for integrating Nigeria’s educational and entrepreneurial ecosystems to mitigate engineering graduate unemployment. Employing a structured questionnaire, primary and secondary data were collected to evaluate AI's impact on entrepreneurial clusters, enabling environments, and workforce retention. Findings reveal that AI significantly enhances employability by identifying skill gaps and fostering mentorship. Furthermore, within entrepreneurial ecosystems, AI improves opportunity recognition, resource optimization, and cluster-based innovation. The discussion highlights that AI-driven retention strategies effectively minimize skills attrition by embedding graduates within adaptive, locally relevant enterprises. In conclusion, integrating AI into academic curricula and ecosystem policy frameworks is an urgent strategic imperative to unlock human capital, reduce unemployment, and foster sustainable economic growth in Nigeria.
The Role of Progressive Web Applications in Enhancing User Engagement: A Systematic Literature Review Kelvin Vedasto Katto
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.18335

Abstract

This study aims to explore the role of Progressive Web Applications (PWAs) in enhancing user engagement within the digital ecosystem. PWAs utilize features of both web and native applications to provide capabilities such as offline functionality, push notifications, responsive design, performance optimization, and seamless installation. In this study, the Systematic Literature Review (SLR) methodology was used to analyze 21 peer-reviewed articles obtained from four reputable databases. Findings reveal that PWAs improve user engagement by reducing load times, supporting low-connectivity environments, and enabling real-time communication through push notifications. Furthermore, PWAs reduce development costs by utilizing a single codebase across multiple platforms. However, despite the benefits provided by PWAs, they still encounter various challenges, which include platform-specific limitations (especially on iOS), reduced discoverability compared to native apps, and limited access to advanced device Application Programming Interfaces (APIs). Despite these drawbacks, PWAs represent a promising direction for businesses seeking to deliver efficient, accessible, and engaging digital experiences. This review contributes valuable insights into the future of PWA adoption and its implications for web development
A Review of BFT Consensus Algorithms and Their Application in Modern Blockchain Protocols Brandon Vrooman
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.18587

Abstract

This article examines modern Byzantine fault-tolerant (BFT) consensus algorithms as key mechanisms for ensuring the reliability and robustness of blockchain protocols. The study identifies the structural properties of classical, linear, asynchronous, and hybrid consensus models under high loads and network uncertainty. Using comparative and structural-functional analyses, the research isolates architectural features defining resilience, validator organization, and finality. Furthermore, an applied framework is developed to select consensus algorithms based on phase structures, communication models, and fault types. This framework accounts for architectural constraints and operational conditions, determining protocol applicability across diverse blockchain platforms. Ultimately, it provides practical guidelines for designing scalable, fault-tolerant distributed systems
Fuzzy logic approach for evaluating energy losses at the Kasangulu electrical substation Patrick, Bokungu Efoto; Rostin, Mabela Makengo; Nathanael, Kasoro Mulenda; Dupar, Kampempe Kyemba Justin; Jacques, Nyembo Biyule; Louis, Efoto Eale
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 8 No. 1 (2027): INJIISCOM: VOLUME 8, ISSUE 1, JUNE 2027 (Online First)
Publisher : Universitas Komputer Indonesia

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Abstract

The reliability of an electrical network depends mainly on service continuity and the quality of data from distribution stations. This data contains quantifiable inaccuracies and measurement errors, which complicates the detection of anomalies using traditional methods. This study proposes the application of fuzzy logic to analyze the energy balance for the years 2019-2023 for the Kasangulu electrical substation. The methodology is based on the fuzzification of electrical quantities (energy delivered to the grid, energy sold, efficiency) and the development of a fuzzy inference system in accordance with the Mamdani method. The results obtained show that fuzzy logic provides a more effective solution to measurement inaccuracy and uncertainty, offering more accurate anomaly detection than conventional deterministic techniques. This approach is an effective decision-making tool for the monitoring and predictive maintenance of the electricity grid in general and Kasangulu in particular.
KelpLink: An AI-Driven Mobile Platform for Sustainable Seaweed Farming Divya Surve; Rohit Patil; Atharva Birwadkar; Shardul Palande; Vedant Mantri
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 7 No. 2 (2026): INJIISCOM: VOLUME 7, ISSUE 2, DECEMBER 2026 (Online First)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v7i2.18653

Abstract

KelpLink is an AI-powered platform designed to digitally transform India’s seaweed farming ecosystem. By integrating artificial intelligence, cloud computing, and multilingual support, the system enhances agricultural productivity, transparency, and environmental sustainability. It empowers coastal farmers to accurately identify seaweed species, monitor health, and directly connect with certified buyers via a secure digital marketplace. Key features include encrypted messaging, AI-driven sustainability dashboards for estimating carbon sequestration, and robust data protection using modern web architectures like Next.js, Node.js, and MongoDB Atlas. Initial testing demonstrates improvements in operational transparency and market participation. Ultimately, KelpLink aims to integrate IoT and blockchain technologies, positioning itself as a pioneering solution for India’s Blue Economy and Digital Ocean initiatives

Page 14 of 15 | Total Record : 146

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