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All Journal International Journal of Advances in Data and Information Systems Jurnal Locus Penelitian dan Pengabdian Journal of Artificial Intelligence and Digital Business
Budianto, Setyo
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Aerospace Engineering Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mathematics

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Analisis Mendalam Strategi Customer Relationship Management (CRM) Upoint.Id Dalam Membina Loyalitas Pelanggan Gamers di Indonesia Budianto, Farhan Alif; Lubis, Muharman; Budianto, Setyo
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5071

Abstract

Persaingan ketat dalam industri top-up game Indonesia menuntut platform untuk beralih dari strategi transaksional ke pendekatan relasional yang berpusat pada loyalitas berkelanjutan. Tujuan tinjauan ini adalah menganalisis dan mensintesis literatur evolusi Customer Relationship Management (CRM), mendefinisikan ulang loyalitas gamers, serta mengidentifikasi dan mengisi kesenjangan strategis pada implementasi CRM UPOINT.ID—sebuah platform digital di bawah Telkom Group—guna mentransformasikannya dari model transaksional menjadi model relasional berbasis komunitas yang terukur. Metodologi penelitian ini mengusulkan kerangka kerja metode campuran (mixed-method) yang terintegrasi. Secara kuantitatif, digunakan model RFM-B (Recency, Frequency, Monetary, Behavioral) yang diperluas, mengintegrasikan data perilaku non-transaksional dengan K-Means Clustering untuk segmentasi persona pelanggan. Secara kualitatif, metode Netnografi diaplikasikan pada komunitas virtual UPOINT.ID (Instagram, TikTok, YouTube) untuk mengungkap dinamika budaya dan motivasi sosial gamers. Temuan Utama mengidentifikasi adanya dualisme strategis, di mana fokus promosi harga massal berjalan terpisah dari investasi komunitas esports (UECS). Kesenjangan ini menciptakan risiko kanibalisasi pendapatan dan alokasi sumber daya yang tidak efisien. Model RFM-B berhasil mengidentifikasi persona spesifik seperti "Juara Kompetitif" (didorong oleh status) dan "Pengamat Setia" (didorong oleh rasa memiliki) yang tidak dijangkau oleh insentif diskon transaksional. Implikasi penelitian ini memberikan kontribusi teoritis dengan memperkenalkan model RFM-B yang mengkuantifikasi aset soft komunitas menjadi nilai matematis. Secara praktis, diusulkan arsitektur Social CRM (SCRM) terintegrasi penuh , dengan strategi bertingkat yang dipersonalisasi untuk setiap persona, menggantikan diskon massal dengan insentif berbasis status dan pengakuan, guna memaksimalkan Customer Lifetime Value (CLV) dan mengoptimalkan Return on Investment (ROI) komunitas UECS.
Enhancing Project Management Governance in Digital Transformation: A Case Study on Deploying Simplified Togaf Artifacts Budianto, Farhan Alif; Lubis, Muharman; Mukti, Iqbal Yulizar; Budianto, Setyo
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 12 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i12.5231

Abstract

Digital Transformation (DT) acceleration requires robust project management governance that tightly integrates Enterprise Architecture (EA) with agile project delivery. Although The Open Group Architecture Framework (TOGAF 10) is the leading EA standard, its complexity hinders adoption, especially for resource-limited organizations. This study tackles this challenge by proposing and validating a simplified TOGAF 10 framework called "Mini TOGAF." The goal is to improve EA implementation, streamline project management, and enhance strategic alignment. Using a Design Science Research (DSR) approach, a case study at PT Nuon Digital Indonesia—an established digital content and entertainment firm—was conducted. The research involved a systematic literature review to identify essential TOGAF artifacts, followed by iterative development and stakeholder validation of the Mini TOGAF blueprint across Business, Data, Application, and Technology layers. The model consolidates artifacts, merging Terms of Reference and Architecture Principles into unified Architecture Guidelines, and focuses implementation on short- to medium-term objectives. Implementation led to significant gains in operational efficiency via process optimization, increased business agility, and better alignment of IT investments with corporate goals. This paper contributes a validated Mini TOGAF blueprint that bridges the gap between TOGAF’s comprehensive rigor and the practical demands of agility and efficiency in digital transformation. The model offers a resource-efficient, scalable procedural guide for organizations—especially those facing resource constraints—to harness EA for effective project management governance without overwhelming complexity.
The Role of Simplified Enterprise Architecture (Mini TOGAF) in Improving Project Management Governance and Decision-Making Budianto, Farhan Alif; Lubis, Muharman; Mukti, Iqbal Yulizar; Budianto, Setyo
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1493

Abstract

The development of information technology in the digital age requires companies to have a system architecture that is aligned with their business strategy. One commonly used framework is The Open Group Architecture Framework (TOGAF). However, the complexity of TOGAF is often an obstacle to its implementation, especially for organizations with limited resources. This study introduces a Mini TOGAF framework—an adaptive simplification of TOGAF 10 artifacts—designed specifically for digital creative enterprises. Unlike previous simplification models that mainly addressed SMEs in traditional industries, this framework integrates agile principles and stakeholder-centered validation cycles, reflecting the current evolution of enterprise architecture practice in 2023–2025. The method used is Design Science Research (DSR) with three main cycles: the Relevance Cycle to identify organizational needs, the Rigor Cycle to review relevant theories and methods, and the Design Cycle to iteratively design and evaluate artifacts. Data was collected through interviews, observations, and literature studies, then validated by the company. The results of the study show that the application of Mini TOGAF can improve architectural understanding, operational efficiency, business agility, and corporate strategy alignment. The simplification of TOGAF artifacts has been proven to reduce the complexity of implementation without reducing the main benefits of the framework. This study contributes to enterprise architecture literature by proposing an adaptive TOGAF 10 simplification model that strengthens the theoretical link between architectural governance and digital business agility. These findings provide practical contributions for organizations in adopting Enterprise Architecture efficiently and adaptively to modern business needs.
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.
Co-Authors Budianto, Farhan Alif Muharman Lubis Mukti, Iqbal Yulizar