Journal of Applied Digital Business Research
Journal Title : Journal of Applied Digital Business Research E-ISSN : 3123-5212 Editor in Chief : Muhammad Fajar Wahyudi Rahman Publisher : Universitas Negeri Surabaya Frequency : March, June, September, December Citation Analysis : Journal of Applied Digital Business Research published since 2025 (E-ISSN: ) is an open access national refereed research publishing journal with a focused aim on promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Digital Business and Technology. Journal of Applied Digital Business Research is an national scientific research journal focusing on issues in Digital Business and Technology research. A large number of manuscript inflows, reflects its popularity and the trust of world's research community. Journal of Applied Digital Business Research is indexed with major indexing and abstracting organizations and is published in both electronic and print format. All articles are available under cc by-nc-nd licensing. All technical or research papers and research results submitted to Journal of Applied Digital Business Research should be original in nature, never previously published in any journal or undergoing such process across the globe. All the submissions will be peer-reviewed by the panel of experts associated with Journal of Applied Digital Business Research. Submitted papers should meet the nationally accepted criteria and manuscripts should follow the style of the journal for the purpose of both reviewing and editing. Indexing information is found at the indexing and abstracting page of Journal of Applied Digital Business Research. The journal accepts theoretical, empirical, critical, comparative, and case study research using qualitative and/or quantitative, or mixed methods that offer contributions to the following subtopics: - Digital business performance - Digital technology and innovation - Digital entrepreneurship - Digital marketing - Human resource qualifications in digital transformation - Financial technology - Information technology management - Data-centric business models and data monetization - Big data-driven business models - Blockchain driven business models - Business ethics - Social network-driven business models (crowdsourcing, crowdfunding) - IoT driven business models - Business model innovation - Digital business model design and development - Start-ups, lean concepts, and agile development - Digital transformation and social impact - Artificial Intelligence for business application
Integrating User-Centered Design and SDLC Prototyping for Housing Digital Catalog Development at PT Wanro Sukses Persada
Advances in digital technology have encouraged housing developers to utilize websites as a promotional tool; however, PT Wanro Sukses Persada still relies on conventional media, which limits the dissemination of information. This study aims to design a user-centered housing catalog website and evaluate the system’s functional quality and usability. The methodology applied integrates User-Centered Design (UCD) with the SDLC Prototyping model to ensure that features align with prospective buyers’ needs. The website was developed using the WordPress platform, with evaluation conducted through Blackbox Testing for functional validation and the System Usability Scale (SUS) questionnaire to measure usability. The Blackbox testing results showed a 100% success rate, confirming that all features functioned as designed. Meanwhile, the usability evaluation yielded an average score of 83.5, placing the website in the Acceptable category with an Excellent rating (Grade B). These findings demonstrate that the developed catalog website meets technical feasibility and user experience standards, making it ready for implementation as a digital marketing tool to support the marketing activities of PT Wanro Sukses Persada.
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Integrasi Aspect-Based Sentiment Analysis dalam Recommender System Berbasis Ulasan untuk Mengurangi Information Overload: A Systematic Literature Review
The large volume of online reviews and the limitations of numerical ratings in capturing consumer preferences in detail have given rise to information overload, prompting the integration of Aspect-Based Sentiment Analysis (ABSA) into review-based recommender systems. This study aims to map the ABSA methods, recommender system architectures, and application domains used in such integrations, along with their reported performance, contributions, and limitations, over the 2021–2025 period. The study was conducted using a systematic literature review approach following the PRISMA 2020 guidelines. Searches across five electronic databases (ScienceDirect, Springer, Scopus, ACM Digital Library, and IEEE Xplore) initially yielded 169 articles, which were then narrowed down through deduplication, screening, and eligibility assessment to 20 studies meeting the inclusion criteria for narrative synthesis. The results show that deep learning methods, particularly Bidirectional Long Short-Term Memory (Bi-LSTM) with attention mechanisms and BERT-based approaches, are the most dominant ABSA methods, while Collaborative Filtering, either independently or hybridized with Content-Based Filtering, is the most widely adopted recommendation architecture across domains such as e-learning, e-commerce, restaurants, hospitality, and social platforms, with performance varying across RMSE, MAE, F1-score, and AUC metrics. The main contributions of this integration include improved prediction accuracy and interpretability, as well as reduced cold-start and data sparsity issues, although limitations related to manual annotation requirements and cross-domain generalization remain evident in most studies.
Pengaruh Layanan Digital, Kualitas Proses Bisnis, dan Kepercayaan Organisasi terhadap Kepuasan Anggota di Koperasi Ecco Indonesia
This study aims to analyze the influence of digital services, business process quality, and organizational trust on member satisfaction at Koperasi Ecco Indonesia. The research employed a quantitative approach using Structural Equation Modeling–Partial Least Squares (SEM-PLS) through SmartPLS 3 involving 376 cooperative members as respondents. The sampling technique used was non-probability sampling with a convenience sampling method. The results indicate that digital services, business process quality, and organizational trust have a positive and significant effect on member satisfaction. Business process quality emerged as the most dominant variable compared to the others. These findings demonstrate that cooperative management supported by reliable digital services, professional operational systems, and strong organizational trust can effectively enhance member satisfaction. Overall, the research model shows good predictive capability in explaining cooperative member satisfaction.
Pengembangan Website Produk Bebas Gluten dengan SDLC Prototyping dan Design Thinking (PT Lokal Komoditi Indonesia)
PT Lokal Komoditi Indonesia is a healthy food company that markets gluten-free noodle products under the Lokality brand. However, the existing website has not been able to optimally support product education, strengthen brand recognition, and enhance company credibility. This study aims to redesign the Lokality website using Design Thinking and the Software Development Life Cycle (SDLC) Prototyping model to better accommodate user needs. This research employed a research and development (R&D) approach using qualitative and quantitative methods. Qualitative data were collected through non-participatory observation and semi-structured interviews involving three internal stakeholders and one customer. The identified user requirements were then used to develop the website through Design Thinking integrated with the SDLC Prototyping model. Website evaluation was conducted using Blackbox Testing to assess system functionality and questionnaires distributed to 30 respondents to measure customer learning, consisting of product knowledge and website knowledge, as well as brand recognition. The results indicate that the redesigned website provides a more structured interface, clearer navigation, and more comprehensible product and educational content. All Blackbox Testing scenarios were declared valid. User evaluation results showed very high mean scores for product knowledge (4.41), website knowledge (4.33), and brand recognition (4.47). These findings demonstrate that the developed website effectively supports product education and strengthens Lokality's brand recognition.
Analisis Model SECI pada Proses Produksi Raja Ngemil dalam Pengelolaan Pengetahuan (Knowledge Management)
ABSTRACT Knowledge management has become critical for companies to maintain and improve their competitiveness in globalization and fierce business competition. competitiveness in the era of globalization and intense business competition. The work of Nonaka and Takeuchi, the SECI Model (Socialization, Externalization, Combination, Internalization) model, has been a useful framework for studying the dynamics of knowledge application, sharing, and acquisition within organizations. This study aimed to evaluate the use of the SECI model in the context of knowledge management in the production process of a food company known as the King of Snacking. How the SECI model is integrated in the daily operation’s daily operations of the company and how it impacts the innovation and efficiency of the production process. Direct observation, interviews, and analysis of relevant documents were used to conduct the research. relevant documents were used to conduct the research. The research results show that the SECI model greatly helps employees communicate and cooperate, make tacit knowledge into clear knowledge, as well as improve the decision-making process. decision-making process. Implementing the SECI knowledge management model in Raja Ngemil's production process improves operational efficiency and innovation. innovation. In a competitive market, this research helps similar companies understand the importance of implementing the SECI model to improve performance and competitiveness.
Perancangan Prototipe Fitur Budget Lock Berbasis User-Centered Design pada Aplikasi Mobile E-Wallet SC
The convenience offered by e-wallet applications encourages fast and practical financial transactions, yet this convenience also increases the risk of overspending and impulsive purchasing among users. Internal interviews with SC management confirmed that the existing application lacks a specific expenditure-control mechanism, creating an urgent need for a preventive feature. This study aims to design and evaluate a Pocketing feature with a Budget Lock mechanism for the SC mobile e-wallet application using the User-Centered Design (UCD) approach based on ISO 9241-210, comprising Understand Context of Use, Specify User Requirements, Design Solutions, and Evaluate Against Requirements. Data were collected through in-depth interviews with two key informants from SC, then translated into wireframes, mockups, and a high-fidelity functional prototype built in Figma and Android Studio. The prototype was evaluated through Blackbox Testing and the System Usability Scale (SUS) involving five respondents. All functional scenarios were validated, and the mean SUS score increased from 73.0 (Grade C, Good) to 82.5 (Grade A, Excellent). These findings indicate that a UCD-based commitment mechanism can simultaneously restrict spending and improve perceived usability, offering both theoretical and practical contribution to fintech interface design oriented toward users' financial discipline.