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All Journal JUSIFO : Jurnal Sistem Informasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) International Journal of Advances in Data and Information Systems Jurnal Teknik Informatika (JUTIF) Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Akademisi Jurnal PkM MIFTEK Journal of Artificial Intelligence and Digital Business eProceedings of Engineering
Mukti, Iqbal Yulizar
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Understanding Smart Environment: A Systematic Literature Review Ardhana, Sonia Frisca Putri; Prasetyo, Yuli Adam; Mukti, Iqbal Yulizar; Abdurrahman, Lukman
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6539

Abstract

In the rapidly evolving era of technological advancements, the concept of a Smart Environment emerges as a pivotal innovation in addressing the complex challenges of environmental sustainability. This study aims to provide a comprehensive evaluation of the Smart Environment's effectiveness in meeting urban community needs, while elucidating the synergy between business functions and the technological frameworks that drive the development of such environments. Utilizing a Systematic Literature Review (SLR) methodology, this research explores the terminologies, models, and technologies integral to the Smart Environment, focusing on their practical applications in sectors such as energy management, transportation, and natural resource conservation. The findings highlight the crucial role of the Internet of Things (IoT) in enhancing efficiency and sustainability, alongside the importance of robust data security and interoperability standards. This study not only contributes to a deeper understanding of the Smart Environment's impact on urban life but also serves as a valuable resource for future research, providing insights into the integration of societal needs with technological advancements to create sustainable, efficient, and intelligent urban environments.
Smart Mobility: Mobility Services in Urban Area a Literature Review Fathoni, Fikri; Prasetyo, Yuli Adam; Mukti, Iqbal Yulizar; Santoso, Ari Fajar
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6478

Abstract

Smart mobility is one of the important aspects for cities to imple-ment the smart city concept. smart mobility is the use of information technology for urban transportation systems in order to create inte-grated, effective, sustainable, easily accessible transportation ser-vices to support mobility, and improve the quality of life of urban communities. The main focus of this research is to answer the re-search questions in order to compile and present a comprehensive understanding of the concept of intelligent mobility, with an empha-sis on the latest developments and implementations of intelligent mobility in the scientific literature. This research uses the Systemat-ic Literature Review method to identify terminology, services, func-tions, and technologies, that are elements in the implementation of smart mobility. There are 30 previous research articles with publica-tion years 2018-2023 on smart mobility that contribute to this litera-ture review. The results of this literature review provide in-depth insights into how information and communication technologies can improve sustainability and efficiency in urban transportation sys-tems. By understanding previous research, this research provides a solid basis for the development and implementation of the concept of smart mobility.
PERANCANGAN ENTERPRISE ARCHITECTURE UNTUK OPTIMALISASI LAYANAN TIM PENGUJIAN DAN STANDARDISASI DI BBSPJIBBT MENGGUNAKAN KERANGKA KERJA TOGAF ADM Sintha, Ersa Yunianti; Mukti, Iqbal Yulizar; Ramadani, Luthfi
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6350

Abstract

Di tengah perkembangan Revolusi Industri 5.0, integrasi antara teknologi canggih dan keahlian manusia menjadi semakin krusial, diharapkan dapat mencapai sinergi antara teknologi dan intuisi manusia untuk menghadapi tantangan bisnis dan sosial yang semakin dinamis. Hal ini berlaku di Balai Besar Standardisasi dan Pelayanan Jasa Industri Bahan dan Barang Teknik (BBSPJIBBT), sebuah Badan Layanan Umum di bawah Kementerian Perindustrian yang berfungsi menyediakan layanan pengujian di sektor bahan dan barang teknik bagi industri dan masyarakat Indonesia. Tim Pengujian dan Tim Standardisasi BBSPJIBBT menjalankan aktivitas primer instansi dengan memanfaatkan aplikasi untuk mengelola order dan informasi layanan uji. Namun, dalam sistem informasi yang diimplementasikan masih terdapat tantangan dalam integrasi dan efisiensi layanan. Permasalahan utama meliputi koordinasi manual untuk penanganan pelanggan, proses verifikasi data yang tidak efisien, dan kurangnya integrasi antar sistem. Untuk mengatasi permasalahan tersebut, penelitian ini mengadopsi kerangka kerja TOGAF ADM (The Open Group Architecture Framework Architecture Development Method) yang berfokus pada perancangan Enterprise Architecture (EA). Metode ini menghasilkan artefak dari fase bisnis, data, aplikasi, dan teknologi. Hasil penelitian ini adalah blueprint perancangan EA yang berisi usulan solusi untuk perbaikan proses bisnis, integrasi data, dan pengembangan aplikasi guna mengoptimalkan layanan Tim Pengujian dan Standardisasi. Implementasi EA yang diusulkan diharapkan dapat memenuhi kebutuhan Pelayanan Terpadu yang efisien, optimaliasi layanan, dan mendukung BBSPJIBBT dalam menghadapi tantangan di era digital.
AI-Enabled Information Systems and Strategic Alignment: A Systematic Literature Review on Digital Orchestration Budianto, Farhan Alif; Lubis, Muharman; Mukti, Iqbal Yulizar; Budianto, Setyo
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6989

Abstract

This paper aims to synthesize the fragmented body of literature on how Artificial Intelligence (AI) transforms the traditional Strategic Alignment Model (SAM). Specifically, the study examines the role of Digital Orchestration as a mediating mechanism between AI capabilities and organizational performance. Using a Systematic Literature Review (SLR) approach guided by PRISMA protocols, this research analyzes 84 peer-reviewed articles published between 2018 and 2026 and indexed in the Scopus and Web of Science databases. The study identifies three main thematic pillars: Cognitive Alignment, Algorithmic Governance, and Human–AI Collaborative Synergy. Overall, these themes indicate that AI is no longer merely an operational support tool but has evolved into an agentic strategic capability that enables continuous sensing, predictive decision-making, and real-time synchronization between business and IT domains. The findings demonstrate a paradigm shift from “Static Fit” toward “Fluid Orchestration.” Theoretically, this study extends the Resource-Based View by positioning agentic AI capability as a higher-order dynamic capability and proposes an AI-Enabled Digital Orchestration Framework to integrate previously fragmented insights. Managerially, the research emphasizes the importance of Dynamic KPIs and Agentic Governance to prevent algorithmic misalignment. Overall, the study advances strategic alignment theory by framing AI-driven strategy as a continuously adaptive orchestration capability in volatile digital ecosystems.  
The Evolution of Decision Support Systems (DSS) to Strategic AI: A Systematic Review of Architectural Shifts and Business Value Budianto, Farhan Alif; Lubis, Muharman; Mukti, Iqbal Yulizar; Budianto, Setyo
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6990

Abstract

This study examines the evolution of Decision Support Systems (DSS) toward Strategic Artificial Intelligence (SAI) by systematically analyzing architectural shifts and their implications for business value creation. Using a Systematic Literature Review (SLR) approach based on the PRISMA protocol, data were collected from Scopus, Web of Science, and IEEE Xplore databases covering publications from 2000 to 2025. A total of 85 peer-reviewed articles were selected after a rigorous screening and eligibility process. The findings reveal a progressive transition from model-driven, on-premise DSS architectures to cloud-native, agent-based, and LLM-integrated systems characterized by architectural autonomy and decentralized AI mesh structures. This transformation reshapes organizational decision-making from reactive data support to proactive and generative strategic insight. The study proposes a DSS–SAI Convergence Framework that explains how architectural autonomy reduces strategic latency and enhances agility, competitive advantage, and innovation capability. The results highlight that Strategic AI is not merely a technological upgrade but a fundamental shift in organizational intelligence and value logic, requiring new managerial competencies in decision engineering and explainable AI governance. Furthermore, the review identifies emerging risks—including algorithmic drift, governance latency, and configuration complexity—that may undermine strategic alignment if not properly managed. The study contributes to the information systems literature by integrating architectural, organizational, and governance perspectives into a unified analytical lens and offers practical guidance for firms seeking to operationalize AI-driven strategic decision infrastructures.
Data Governance and AI Strategy: A Systematic Synthesis of Information Systems Frameworks for Competitive Advantage Budianto, Farhan Alif; Lubis, Muharman; Mukti, Iqbal Yulizar; Budianto, Setyo
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6991

Abstract

The rapid integration of Artificial Intelligence (AI) into organizational strategy has intensified the need for robust data governance mechanisms that ensure data quality, accountability, and strategic alignment. While prior studies have examined data governance and AI strategy separately, a comprehensive synthesis explaining how Information Systems (IS) frameworks bridge technical data management and competitive advantage remains limited. This study addresses this gap by conducting a Systematic Literature Review (SLR) to synthesize key IS frameworks that govern data for AI-driven strategic outcomes. Following the PRISMA 2020 protocol, relevant peer-reviewed articles published between 2018 and 2026 were systematically collected from Scopus, Web of Science, and the AIS eLibrary. A total of 65 high-quality studies were selected for thematic and theoretical analysis. The findings reveal three dominant thematic clusters: algorithmic accountability and ethics, data pedigree and provenance, and the evolving strategic role of the Chief Data Officer (CDO). The synthesis further demonstrates a theoretical shift from static, compliance-oriented governance toward dynamic capabilities grounded in the Resource-Based View. This study contributes to IS and AI strategy literature by re-conceptualizing data governance as a second-order organizational capability that enables sustainable competitive advantage. Practical implications highlight the importance of governance agility, strategic alignment, and trust-building mechanisms in scaling AI initiatives.
Analyzing User Needs and Recommending Targeted Features for Bi’ih Village Tourism Website Using Text Mining and K-Means Clustering Artamevia, Mima; Lubis, Muharman; Mukti, Iqbal Yulizar; Handayani, Dini
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5458

Abstract

Tourism village websites often do not fully reflect user needs, resulting in digital services that cannot be optimally utilized by residents and potential tourists. This situation limits access to information and reduces the effectiveness of tourism promotion efforts, especially in villages that are undergoing digital transformation. This study was conducted to identify the overall needs of users and compile data-based feature recommendations for the development of the Bi'ih Village website as a durian tourism village. The research method used a quantitative approach through the distribution of an online questionnaire to 110 respondents consisting of visitors and residents, with five open-ended questions and several structured questions. The data was analyzed using text mining to find dominant words and themes, as well as the K-Means Clustering technique determined through the Elbow method to group user characteristics. The analysis results showed that there were 2,702 tokens and 677 meaningful words, with the highest demand for government information and visual tourism content. The segmentation process produced three main groups, namely Active Supporters (61.4%), Tech Enthusiasts (27.3%), and Moderate Users (11.4%). This study contributes a data-driven approach to designing more relevant and measurable features for tourism village websites. The impact is expected to increase the adoption of village digital services, strengthen tourism competitiveness, and support the acceleration of the Smart Village concept implementation. The novelty of this study lies in the integration of text mining and clustering as the basis for developing user-oriented feature recommendations.
Co-Authors Ardhana, Sonia Frisca Putri Ari Fajar Santoso Artamevia, Mima Asti Amalia Nur Fajrillah Audini, Nurul Budianto, Farhan Alif Budianto, Setyo Dini Handayani, Dini Dwianti, Indah Fathoni, Fikri Juniarti, Feni Kirana, Shilvy Chandra Lukman Abdurrahman Luthfi Ramadani Muharman Lubis Prambudia, Yudha Rahmat Mulyana Riverinda Rijadi, Safara Cathasa Safitri, Intania Fadya Sari, Laras Ayu Ditya Sintha, Ersa Yunianti Taufik Nur Adi Tiara Verita Yastica Yuli Adam Prasetyo