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Ika Diyah Candra Arifah
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Journal of Digital Business and Innovation Management
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 29623898     DOI : 10.2670
Core Subject : Science,
Decision Sciences, Operations Research & Management Library & Information Science
Journal of Digital Business and Innovation Management (JDBIM) is a new, Open Access journal from Universitas Negeri Surabaya that aims to publish original research articles, reviews, and reports on the digitalization of business and management, how digital technologies can innovate the business, and what this means for the future of work. The journal will encourage submissions from diverse fields and areas of practice, from business, economics, marketing, and potentially computer science and information technology management. JDBIM publish twice a year (June and December).
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 21 Documents
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Search results for , issue "Vol. 4 No. 2 (2025): December 2025" : 21 Documents clear
Enhancing Secondhand Market Dynamics through Circular Economy Principles and Technological Advancements: A Bibliometric Analysis Amanina, Adilah Asma
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

Given the increasing focus on sustainability and resource efficiency, the interest in the secondhand market as a vital segment of the circular economy has also risen tremendously. This paper offers a bibliometric analysis of the changing features of the secondhand market that focus on circular economy aspects and technological development that transform this market. In the scope of this review, we strive to establish how the integration of circular strategies such as reuse, recycling, and product life extension as well as advances in technology have improved market efficiency, accessibility experiences for consumers, and efficiency on nature. Important conclusions emphasize the role of digital platforms, blockchain, artificial intelligence, and the Internet of Things in improving the efficiency of product tracking, trust, and transaction transparency in the secondhand market. The knowledge acquired proposes ways in which some of the stakeholders can implement technological solutions to the circular economy and enhance the concept of circularity in the economy.
Prototype Design Of User Centered Design Based On Ucd (User Centered Design) For Handiser Services at Pt Semen Indonesia Distributor Ambami, Sinta Aisyah; Safitri, Anita
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

Advances in information technology, especially in digital-based services, have created potential business opportunities, including in the provision of handyman services that are easily accessible to the public. This has encouraged PT Semen Indonesia Distributor to develop a new business in the provision of handyman services. To facilitate public access and interaction, a website is needed that functions as a portal for information services for handyman services. Therefore, this prototype is designed to help users choose the right handyman services and provide information related to services, prices, and locations of handymen. The User Centered Design UCD method is used to ensure that the website design is in accordance with user needs and convenience, and provides more efficient interactions. This study uses a research and development (R&D) approach with a technology readiness level (TKT) of 6. Data collection was carried out through observation and interviews with five respondents from the information communication technology and digital marketing divisions of PT SID. Based on the results of the needs analysis, the prototype was developed using the Figma tool, starting from making wireframes to high fidelity prototypes. The evaluation was carried out using the Black Box Testing method to test the functionality on the main pages such as Home, Our services, products, profiles, articles, and choose us, and the results showed that all features had run according to the specified specifications and according to user expectations.
The Effect of Digital Job Resources on Innovative Work Behavior Through Digital Engagement in Employees of PT ABC (Persero) East Java Distribution Unit Wahyuni, Dwi; Rahman, Muhammad Fajar Wahyudi
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

This study explores the effect of digital job resources on innovative work behavior, with digital engagement serving as a mediating factor, among employees of PT ABC (Persero) East Java Distribution Unit. A quantitative approach was utilized, involving 60 participants. To analyze the data, the Partial Least Squares Structural Equation Modeling approach was applied, assisted by SmartPLS 4 and SPSS 4.0 software. The results indicate that: (1) Digital job resources do not exert a direct influence on innovative work behavior; (2) however, they significantly promote digital engagement; (3) digital engagement, in turn, has a positive impact on innovative work behavior; and (4) it serves as a significant mediator in the relationship between digital job resources and innovative work behavior.
Systematic Review on Breast Cancer Classification Using Random Forest and Extreme Learning Machine: Cost Sensitivity and Computational Complexity Perspectives Budhiraja, Irsyad; Dhenabayu, Riska
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

Breast cancer remains one of the most common and deadly cancers affecting women worldwide. Early detection and accurate diagnosis are essential to improve patient survival rates and reduce long-term treatment costs. With the advancement of digital technologies, machine learning (ML) has emerged as a powerful tool in breast cancer classification. Among various ML algorithms, Random Forest (RF) and Extreme Learning Machine (ELM) have gained prominence due to their predictive capabilities. This systematic literature review aims to compare the classification performance of RF and ELM, focusing on cost sensitivity and computational complexity. Using PRISMA guidelines, 60 peer-reviewed articles published between 2013 and 2024 were analyzed. The findings show that RF generally offers high accuracy and robustness against overfitting, making it suitable for complex clinical datasets. Conversely, ELM excels in training speed and computational efficiency, making it ideal for real-time diagnostic systems. However, both methods face challenges in handling imbalanced data, where misclassification of malignant cases can be fatal. Cost-sensitive learning strategies are shown to improve model sensitivity toward minority classes, though their integration into ELM remains limited. Furthermore, computational efficiency is a critical factor, particularly in resource-constrained medical environments. This review provides a thematic synthesis of current research and highlights future directions, such as developing hybrid models combining RF’s accuracy with ELM’s efficiency, and implementing explainable AI for trustworthy clinical adoption.
Sentiment Analysis on Social Media Regarding the Boycott of Pro-Israel Products Using Machine Learning Fitriani, Nurul Aulia; Alam, Syamsu; Muhammad Taufik
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

This study aims to analyze public sentiment towards the boycott of pro-Israel products on social media using machine learning. Data was collected through crawling on Instagram tweets and comments, then processed through preprocessing stages such as cleaning, tokenizing, normalizing, stopword removal, and stemming. The analysis was carried out using four machine learning algorithms, namely Naïve Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Decision Tree. The results showed that SVM provided the highest accuracy in sentiment classification. Positive sentiment dominated, in the form of support for the boycott movement as humanitarian solidarity for Palestine, while negative sentiment included the view that this movement was ineffective and potentially detrimental to the economy. A comparison of social media shows that Twitter, with its real-time nature, tends to present fast, emotional, and argument-based responses. In contrast, Instagram focuses more on visual content such as infographics and short videos, with more passive discussions in the comments column. This study shows that sentiment analysis on social media can be an important tool for businesses to understand public perceptions of sensitive issues, detect potential crises, and design more effective communication strategies.
Corporate Social Responsibility, Brand Trust, and Technological Innovation as Drivers of Corporate Sustainability Performance: A Bibliometric Analysis Latifah, Lirameira
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

During the last few decades, companies’ policies on Corporate Social Responsibility (CSR), brand trust, and technological advancement have grown to be significant determinants of sustainability performance for organizations in all sectors. This study conducts a bibliometric analysis in order to look into how CSR, trust in the brand and technological advancement act in a chain towards improving sustainable business operations. Merging and structuring existing literature, we outline certain mechanisms that companies have in order to improve their sustainable performance, including key areas of disadvantage and limitations of these practices. The dissolution of the analysis emphasizes that active CSR practice and brand trust induce customers’ preference while technological change makes the processes of resource exploitation more advanced and environmentally friendly. The study suggests useful strategies for both researchers and practitioners that focus on the outcome of corporate sustainability from the nexus of social responsibility, trust accompanied with innovation.
Redesign of Residential Catalogue Websites with a Personal Extreme Programming Approach to Improve User Experience Satisfaction (Case Study: PT CBS Land Indonesia) Aulia, Putri Faza; Anita Safitri
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

The property business always attracts the attention of many people, encouraging business people to compete to improve their business. One way is to use technology as an effective promotional tool to develop a business. This research involves the creation of a catalog-based website promotion system that assists PT. CBS Land Indonesia in promoting its business. The existence of this promotion system can ease the company's efforts in promoting properties to potential customers in an integrated manner. This system uses the CodeIgniter framework and employs the Personal Extreme Programming (PXP) method for website development, while website testing is conducted using black box testing and website testing is done using blackbox testing with the aim of knowing user satisfaction which is measured by increasing using SUS indicators. During Blackbox testing, the functionality of the housing catalog website is evaluated to ensure it meets user expectations. Meanwhile, the measurement of user satisfaction improvement is conducted by providing a questionnaire with SUS indicators to website users before the redesign is carried out. The result of this research is a catalog website design with various new features that PT. CBS Land Indonesia can use to reach a broader market. In conclusion, this research develops a catalog-based website promotion system for PT. CBS Land Indonesia, aimed at facilitating property promotion to potential customers. This system is built using the CodeIgniter framework and the Personal Extreme Programming (PXP) method, and a questionnaire with the System Usability Scale (SUS) indicator is used to measure the extent to which user experience satisfaction has increased.
Implementation of CV Sentosa Abadi Steel Website Redesign Based on Double Diamond and SDLC Prototyping Model Marcello Hamasias Dwi Greatajoy Purnomo; Safitri, Anita
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

This research aims to redesign the CV Sentosa Abadi Steel website to improve the quality of appearance, ease of access to information, and user satisfaction. The approach used in the design process is the Double Diamond framework which consists of four stages: Discover, Define, Develop, and Deliver. In addition, the website development process is carried out using the Software Development Life Cycle (SDLC) Prototyping model, which is iterative and involves direct feedback from internal company parties. The Discover stage is done through observation of the old website, and interviews with the CEO and marketing staff. The Define stage is used to formulate system requirements. At the Develop stage, researchers created wireframes and mockups that were adjusted based on the validation results. The Deliver stage is the process of finalizing the design that is ready to be implemented. Implementation is done through the WordPress platform with the help of plugins such as Elementor, Blocksy, and WPForms. Evaluation was carried out using the usability testing method based on five indicators from Nielsen, namely Learnability, Efficiency, Memorability, Error, and Satisfaction, which were measured through questionnaires to five regular customers of CV SAS. The test results show an average score of 3.68 on a scale of 4, which is categorized as Very Good, so it can be concluded that the website has fulfilled the usability aspects and is ready to be used as a medium for company information and promotion.
Unveiling the Impact of AI-Driven Marketing on Customer Experience and Purchase Intention: A Systematic Literature Review Using Python-Based Bibliometric Analysis Agustina, Dewi Ayu; Arifah, Ika Diyah Candra
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

The integration of Artificial Intelligence (AI) in marketing has gained momentum as businesses seek to enhance customer experience and drive purchase intention. This study presents a systematic literature review (SLR) using Python-based bibliometric tools to analyze recent scholarly contributions from 2015 to 2025. By extracting and analyzing data from Scopus and Web of Science databases, we identify thematic trends, key contributors, and knowledge gaps in AI-driven marketing literature. Findings reveal a strong emphasis on personalization, customer engagement, and trust as mediators between AI applications and purchase intention. This paper provides a conceptual foundation for future empirical and experimental studies in AI marketing.
The Effect of Content Marketing on Purchase Intention With E-Wom as A Mediation Variable on Hanasui Products in Tiktok Shop (Case Study On Generation Z) Ardy, Windarti Ardy Putri
Journal of Digital Business and Innovation Management Vol. 4 No. 2 (2025): December 2025
Publisher : Universitas Negeri Surabaya

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Abstract

This study was conducted to evaluate the extent to which Content Marketing influences Purchase Intention, with Electronic Word-of-Mouth (E-WOM) as a mediating variable, for Hanasui products on the TikTok Shop platform. Data collection was carried out through the distribution of an online questionnaire targeting Generation Z, particularly those who actively use TikTok. This study employs a quantitative approach using Structural Equation Modeling (SEM) analysis. The results indicate that Content Marketing significantly influences consumer purchase intention, and E-WOM strengthens this relationship as a mediating variable. These findings provide strategic implications for local brands like Hanasui to further optimize their digital marketing efforts through TikTok Shop in order to attract the purchasing interest of Generation Z.

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