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International Journal of Artificial Intelligence Research
Published by STMIK Dharma Wacana
ISSN : -     EISSN : 25797298     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) majors areas of research that includes 1) Machine Learning and Soft Computing, 2) Data Mining & Big Data Analytics, 3) Computer Vision and Pattern Recognition, and 4) Automated reasoning. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : -
Articles 64 Documents
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Search results for , issue "Vol 9, No 1.1 (2025)" : 64 Documents clear
IOT AND MACHINE LEARNING INTEGRATION TO PERSONALIZE SHOPPING EXPERIENCES IN SMART MALLS Fajri, Teuku Irfan
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1609

Abstract

The development of digital technology is driving significant transformation in the retail industry, one of which is through the application of the Internet of Things (IoT) and Machine Learning (ML) in smart mall management. This research aims to analyze how the integration of IoT and ML can create a more optimal personalized shopping experience for visitors. The method used is qualitative research with a literature review approach, namely reviewing various scientific studies, research reports, and academic publications related to IoT implementation, ML analytics, and personalization concepts in the context of smart retail. The study results show that IoT enables real-time customer data collection through sensors, beacons, mobile devices, and smart camera systems. The data is then processed using ML algorithms to produce personal recommendations, predictions of consumer preferences, visitor movement patterns, and automatic service adjustments. The integration of these two technologies is proven to improve the quality of the shopping experience through relevant offers, navigation efficiency, optimization of tenant management, and increased customer interaction with the mall environment. In addition, the literature shows that the success of smart malls depends on the quality of system integration, data security, privacy transparency, and the readiness of human resources in managing technology. This research concludes that the use of IoT and ML has great potential in forming a smart retail ecosystem that is responsive and customer-centered. However, implementation needs to pay attention to ethical, technical and operational challenges so that personalization can be achieved without reducing consumer comfort and trust. It is hoped that this study can become a conceptual basis for the development of further research and digital transformation strategies in the modern retail sector.
Festival Stakeholder Strategic Mapping: Power-Interest Matrix Analysis for Cap Go Meh Singkawang Inclusive Governance Tohirin, Ahmad; Widianingsih, Ida; Pancasilawan, Ramadhan
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1688

Abstract

This study aims to analyze the power-interest configuration of stakeholders in the governance of the Cap Go Meh Singkawang Festival to assess the level of inclusivity and formulate appropriate engagement strategies. The research employs a qualitative case study method, collecting data through in-depth interviews, participatory observation, and document analysis involving seven key stakeholder groups. Findings reveal a tripartite dominance of the Festival Committee, Cultural Community, and Sponsors as Key Players with high power and interest. At the same time, MSME actors and affected residents are marginalized as Subjects with high dependency but low influence. This configuration reflects an elitist and less inclusive governance model. Based on these findings, the study recommends reconstructing the collaborative architecture through a more representative festival board, reforming data-based economic participation systems, and developing a long-term collaborative ecosystem that empowers marginalized groups. This research suggests a systematic redistribution of power to achieve more equitable and sustainable festival governance.
Governance-Based SPBE Model Framework Design in Multi-Level Governmentl Saputra, Agung Gumilar; Sartika, Ika
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1689

Abstract

This research aims to develop a governance-based framework model for the implementation of the Electronic-Based Government System (ESG) in Indonesia. Although ESG is a national strategic agenda, its implementation still faces various challenges, such as institutional fragmentation, low interoperability, minimal public participation, and weak adaptation to technological change. Through a qualitative approach with a literature review and conceptual construction, this research formulates four interrelated governance models: the Transparent Digital Governance Framework, the Collaborative ESG Ecosystem Model (CSEM), the Participatory E-Governance Model (PEGM), and the Adaptive ESG Governance Framework (ASGF). Each model is built on the governance principles of transparency, collaboration, participation, and adaptability as a response to structural weaknesses in current ESG practices. The results show that effective and sustainable digital governance requires the synergy of these four principles in an integrated and contextual manner, particularly to bridge the gap between national policy and local implementation.
Exploring Indicators and Developing the Initial DigiGOVQUAL Model: An Exploratory Factor Analysis in Banjar City Ramdhani, Hudzaifah Nuruzzaman; Giri, Refi Rifaldi Windya
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1510

Abstract

The digital transformation of government through the Electronic-Based Government System (Sistem Pemerintahan Berbasis Elektronik—SPBE) has become a foundational element of bureaucratic reform in Indonesia. However, the absence of a standardized instrument for assessing SPBE service quality—particularly within the Government-to-Government (G2G) domain—has hindered systematic evaluation and continuous improvement efforts. This study aims to develop a preliminary model called DigiGOVQUAL, designed to measure the quality of SPBE services from the perspective of internal users within government institutions. The model adapts and refines relevant indicators from the E-Government Service Quality (EGSQUAL) framework to better reflect the specific characteristics of digital public services in the Indonesian bureaucratic context. Employing a quantitative research approach, the study utilizes Exploratory Factor Analysis (EFA) to validate the construct dimensions. Data were collected via an online survey distributed to over 200 active civil servants in the Banjar City government who have experience using G2G SPBE services. The findings are expected to contribute to the development of a valid and contextually appropriate evaluation tool for digital government service quality. Ultimately, the DigiGOVQUAL model is intended to support more accountable and user-centered public service delivery policies in the digital era

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