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DESIGN THINKING SEBAGAI STRATEGI PENINGKATAN USABILITAS DAN INTERFACE QUALITY PADA ASWAYA trista ayunda, afifah; Wahyu Tisno Atmojo; Erick Dazki; Masriah
Jurnal Nasional Teknologi Komputer Vol 5 No 4 (2025): Oktober 2025
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v5i4.321

Abstract

Aswaya merupakan Learning Management System (LMS) yang dikembangkan Universitas Pradita untuk mendukung proses pembelajaran mahasiswa, mulai dari penyampaian materi, pengumpulan tugas, hingga interaksi dengan dosen dan mahasiswa. Namun, hasil observasi dan wawancara menunjukkan bahwa pemanfaatan Aswaya belum sepenuhnya efektif dan masih belum memenuhi harapan manajemen. Kendala utama dialami pengguna terkait desain antarmuka (UI) dan pengalaman pengguna (UX) yang dinilai kurang optimal, sehingga menurunkan kenyamanan serta motivasi dalam menggunakan platform tersebut. Untuk mengatasi permasalahan ini, digunakan metodologi Design Thinking yang berfokus pada kebutuhan pengguna melalui pendekatan kreatif dan iteratif. Proses evaluasi dilakukan dengan pengujian prototipe menggunakan System Usability Scale (SUS) dan Post-Study System Usability Questionnaire (PSSUQ). Hasilnya, skor SUS pada iterasi pertama mencapai 75 dan nilai PSSUQ pada iterasi kedua sebesar 6. Temuan ini menunjukkan bahwa Aswaya telah memenuhi standar kegunaan yang baik, meskipun peningkatan pada kualitas informasi masih diperlukan.
Kesiapan Perubahan Organisasi Di Dalam Melakukan Transformasi Digital Berdasarkan Model Knoster Haludin, Guntur; Indrajit, Richardus Eko; Dazki, Erick
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 7 No 1 (2022): j
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nusamba.v7i1.16417

Abstract

This article examines readiness for change and conducts a readiness study on the digital transformation of online survey outputs based on various industrial backgrounds in Indonesia using the Knoster model. The study results show that the highest preparation aspect is the company vision, with skills, incentives, resources, and work planning. In that order, significantly reduced in other elements. The large gap between the idea and other features shows that the organization has a strong desire.
Enhancing Donation-Based Crowdfunding with Togaf & AI: Sustainability Case Study at Foundation XYZ Muhammad Teguh Prasetyo; Erick Dazki
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6924

Abstract

Crowdfunding has emerged as a crucial mechanism for expanding financial accessibility, particularly for projects focused on sustainability. However, the success of foundation-based crowdfunding largely depends on trust and transparency. This study aims to investigate the role of these factors in influencing donor confidence and campaign success. Utilizing a mixed-method approach, the research combines qualitative and quantitative data analysis. The study was conducted on active crowdfunding campaigns within sustainability-focused foundations, employing surveys, interviews, and platform data analytics to assess stakeholder engagement, financial transparency, and campaign effectiveness. The findings reveal that transparent fund management significantly impacts donor trust, with campaigns demonstrating clear financial accountability attracting more sustained contributions. Additionally, the study identifies the importance of effective communication and measurable impact reporting in fostering a supportive crowdfunding ecosystem. The research provides actionable recommendations for foundation-based giving organizations and sustainable entrepreneurs to strengthen transparency and stakeholder involvement, ultimately enhancing donor confidence and community support for sustainability initiatives.
TOGAF-Based Business Architecture Design for FinLy in Innovation and Monetization of AI-Based Digital Financial Services Markus Karjadi; Richardus Eko Indrajit; Erick Dazki
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3413

Abstract

This study aims to design a business architecture for FinLy, a digital startup focused on the development and monetization of AI-based financial products. The approach follows the TOGAF Architecture Development Method (ADM), with particular emphasis on the Architecture Vision, Business Architecture, and Opportunities & Solutions phases. Employing a Design Science Research methodology, the architectural models are constructed using ArchiMate, Business Model Canvas, and Business Capability Mapping. Findings demonstrate that FinLy’s business architecture effectively maps four core capability domains to ten revenue streams that align with its digital monetization strategy. Evaluation results indicate that the architecture is modular, adaptive, and strategically aligned. The novelty of this research lies in the end-to-end integration of the TOGAF framework, generative AI technologies, and digital monetization mechanisms within the context of financial product design. As such, FinLy serves as a reference model for financial startups seeking to establish a capability-based enterprise architecture supported by cloud-native tools like Figma, Google Cloud Platform, and Oracle Database. This work contributes to the advancement of business architecture frameworks that are both technically efficient and capable of delivering personalized, adaptive, and commercially sustainable services in the digital era
Enterprise Architecture Planning for the Coffee Shop Sector Using ADM at Big Coffee Signature Christopher Winson Budiman; Richardus Eko Indrajit; Erick Dazki
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3444

Abstract

The coffee shop industry in Indonesia is experiencing rapid growth, along with the increasing demand for more innovative and efficient customer experiences. To maintain competitiveness and improve operational efficiency, coffee shop companies need to utilize technology in a structured manner. This study aims to design and develop an Enterprise Architecture (EA) model that can be applied to Big Coffee Signature in order to align business strategy with the technology used. In this study, the TOGAF and ArchiMate frameworks are used to design an enterprise architecture that is integrated with online ordering systems, digital payments, customer management, and raw material stock management. Through the implementation of EA, Big Coffee Signature can optimize the use of technology to improve operations and provide better customer experience. The application systems used, such as the Smart Ordering System, Multichannel Payment System, and Inventory Management System, are integrated to improve efficiency, transparency, and convenience for customers. This study also shows that by integrating third-party platforms such as GoFood and GrabFood, companies can expand their market reach and provide greater convenience for customers in placing orders. The results of the study show that the implementation of a structured EA can provide significant benefits in terms of operational efficiency, aligning technology with business needs, and improving customer service. The suggestions provided, such as further development of the customer loyalty system, utilization of AI for service personalization, and development of a cloud-based POS system, are expected to help Big Coffee Signature to increase the competitiveness and sustainability of their business.  
Business Architecture Design in Indonesia’s Property Development Industry Maria Veronika; Erick Dazki; Eko Indrajit
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3449

Abstract

In the highly complex Indonesian property development industry, companies require a robust framework to effectively integrate diverse business and technological elements. This study addresses this need by designing a comprehensive business architecture model utilizing an Enterprise Architecture approach and ArchiMate modeling language. The research began by employing Business Model Canvas (BMC) to identify and analyze four primary revenue streams for property development companies: property sales, leasing income, hospitality income, and revenue from the retail and entertainment sectors. For each of these streams, a detailed business architecture model was constructed using ArchiMate, meticulously mapping the intricate relationships between key components such as business actors, business processes, supporting applications, data, and underlying system technologies. The resulting four business architecture models visually articulate the value flows and critical interconnections within each revenue stream. These models provide valuable insights, demonstrating how property developers can strategically manage, optimize, and align their operations with overarching business objectives. This research makes a significant contribution to the understanding and application of Enterprise Architecture within the property industry. It showcases the potential of ArchiMate to create more structured, integrated, and strategically aligned business models. The findings are intended to serve as a practical reference for property development companies in Indonesia, guiding them in the design and management of their business models to enhance competitiveness and drive sustainable growth in a dynamic market.
The Art of Customization: Text-to-Image Tools in Video Production Wilson Wilson; Alfa Yohannis; Erick Dazki
TEPIAN Vol. 6 No. 3 (2025): September 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i3.3461

Abstract

As technology progresses, the need for tailored experiences is reshaping video editing, particularly due to the new content demands arising from social media. The advent of Artificial Intelligence (AI) has introduced significant advantages, such as enhanced workflow efficiency, cost reduction, and the generation of high-quality materials. However, professionals in the creative sector still express concerns about issues related to security, privacy, and the fear that AI might supplant human jobs. These worries, along with the potential loss of creative autonomy, can be mitigated through concise training that educates users on the capabilities of AI. By mastering these tools, creators can utilize AI to streamline their processes while preserving their artistic integrity. A comparison of various recently launched AI text-to-image applications reveals notable disparities in both accuracy and quality. Additionally, discussions with industry professionals indicate that those who have successfully incorporated AI into their workflows strongly endorse specific software that has significantly boosted their productivity. This suggests that, when implemented thoughtfully and with the right tool selection, AI can serve as a valuable resource in the realm of innovative and personalized video production
Advertising Business Processes through Data-Driven Enterprise Architecture: A Conceptual Model of PT Akuratman Mario Sutardiman; Richardus Eko Indrajit; Erick Dazki
TEPIAN Vol. 7 No. 1 (2026): March 2026
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v7i1.3390

Abstract

The advertising industry is undergoing a profound transformation driven by rapid advancements in data analytics, digital infrastructure, and artificial intelligence. Traditional marketing methods, which once relied heavily on intuition and generalized audience segmentation, are now being replaced by hyper-targeted strategies that utilize real-time insights to deliver more effective and measurable outcomes. This paper presents a conceptual study aimed at designing and optimizing business processes within PT Akuratman, a fictional digital advertising agency that adopts a data-driven operational model. Using the ArchiMate enterprise architecture framework, the study structures and analyzes four core revenue streams: Campaign Management Fees, Leads-Based Pricing, Technology Licensing, and Performance-Based Advertising. Each stream is examined through a multi-layered integration of business functions, application systems, and supporting technological infrastructure. The proposed architecture leverages cloud platforms, AI-driven analytics, and scalable data pipelines to support real-time decision-making, campaign personalization, and strategic agility. The model not only enhances operational efficiency but also reinforces client engagement and marketing ROI in a competitive digital environment. Furthermore, it serves as a practical reference for industry practitioners and scholars aiming to align enterprise architecture with emerging technological innovations. The study also suggests potential areas for future research, including adaptive architecture evolution, automation strategies, and regulatory considerations in big data ecosystems.
Behavior-Driven Gamification Framework for Enhancing Health Insurance Engagement Using TOGAF-Based Business Architecture Dyah Ayu Arditya; Richardus Eko Indrajit; Erick Dazki
TEPIAN Vol. 7 No. 1 (2026): March 2026
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v7i1.3436

Abstract

Health insurance providers face significant challenges in engaging policyholders and encouraging preventive health behaviors. Traditional engagement methods often lead to low participation, reducing the effectiveness of wellness programs and increasing long-term healthcare costs. This paper presents a behavior-driven gamification framework designed to enhance policyholder engagement within the health insurance sector, utilizing a TOGAF-based business architecture approach. By integrating the principles of behavioral science with game mechanics, this model aims to motivate policyholders to actively participate in their health management through personalized, interactive experiences. The application of TOGAF’s Architecture Development Method (ADM) ensures that the gamification framework    is aligned with business objectives, operational processes, and technological infrastructure, providing a sustainable and scalable solution for health insurers. The proposed framework enhances customer engagement, improves health outcomes, and reduces operational costs by incentivizing healthy behaviors, fostering a more proactive and satisfied customer base. This research contributes to the growing field of digital health innovation and offers a strategic roadmap for integrating gamification within health insurance systems.  
A Business Architecture Framework for Streamlining Post-Production Workflows in the Film Industry Wilson; Alfa Ryano Yohannis; Erick Dazki
TEPIAN Vol. 6 No. 4 (2025): December 2025
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v6i4.3483

Abstract

The post-production phase of filmmaking is a complex sequence of activities that directly impacts artistic quality, cost-efficiency, and time-to-market. Despite advancements in editing suites and asset repositories, many studios face fragmented systems, manual bottlenecks, and version-control conflicts. This paper presents a comprehensive Business Architecture framework, modeled using ArchiMate and aligned with the TOGAF Architecture Development Method (ADM), to transform post-production into an integrated, transparent ecosystem. We systematically map the current ("as-is") and envisioned ("to-be") states across business, application, and technology layers to identify critical inefficiencies, such as redundancy in asset handling and gaps in process standardization. Key recommendations, derived directly from this architectural analysis, include deploying a cloud-based Digital Asset Management (DAM) solution, instituting standardized handoff and approval workflows, and embedding granular metadata strategies to enhance searchability. These targeted interventions not only streamline collaboration and minimize manual rework but also accelerate overall delivery timelines. By systematically applying a robust enterprise architecture framework to a creative industry often characterized by ad-hoc solutions, this research provides a practical blueprint for studios to achieve sustained operational excellence and strategic agility.
Co-Authors - Institut Perbanas Jakarta, Richardus Eko Indrajit Abdul Rahman Abimanyu, Andiani Aditya Bima Akbar, Achmad Fathurrazi Alfa Ryano Yohannis Alfa Yohannis Alfa Yohannis Amanda, Djaja Andreas Putra Wijaya Andreas, Jovianus Abel Atmojo, Wahyu Tisno Ayunda, Afifah Trista Bagus Prasetyo Budiono Bayu Saputra bayu Yasa Wedha Bram Sivadjati Budi Setiawan Christopher Winson Budiman Chudra, Glenny Crosley, Nathaniel Daniel Avian Karjadi Diana Diana Dimas Prawira Djarot Hindarto Dodi Permadi Dyah Ayu Arditya Eka Waras Kristianto Eko Indrajid Eko Indrajit Eko Indrajit, Richardus Eko Setiawan Felix Fernando Oroh Ferdy Achmad Zulfikar Firman Pradana Rachman Glenny Chudra Guntur Haludin Hadri Helmi Handri Santoso Handri Santoso Handri Santoso Hengky, Ng Heni Jusuf Hidayat, Nurul Hidayat, Rachmad Syarul Hindarto, Djarot Indrajit, Eko Isra Ruddin Januponsa Dio Firizqi Jovanica Louis Kelwin Lucia Sri Istiyowati Luntungan Stephen Pieters Manaek, Roy Maria Magdalena Maria Veronika Mario Sutardiman Markus Karjadi Masriah Mayatopani, Hendra Michael, Dennis Mochamad Isnin Faried Muamar Fadli Kaddafi Muhamad Rendi Novrian Muhammad Teguh Prasetyo Muliawan, Joshua Mulyadi, Grace Devina Ng, Hengky Panna, Ariya Prawira, Dimas Yudha Priambudi, Gayuh Wakhyu Purawidjaja, Ratna Amalia R Arif Firmansah R. Eko Indrajit Refgiufi Patria Avrianto Refgiufi Patria Avrianto Refgiufi Patria Avrianto Richardus Eko Indrajir Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Rido Dwi Kurniawan Rido Kurniawan Ruddin, Isra Saiful Azhari Muhammad Saiful Azhari Muhammad Santoso, Handri Sentosa, Steve Susatyo, R Wahyu Indra Thamrin Sofian Unggul, Akhmad Vicky Hotty Setya Hanitha Viktor Gunawan Vinardo Widjaja, Herman Wilson Wilson Wilson Wiyanto, Novianthony Yadi Karyadi Yakob Jati Yulianto Yudianto, Tri Zaenab Islami