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Integration of IoT and Blockchain for Business Data Security Uki Hares Yulianti; Yul Ifda Tanjung; Untung Rahardja; Ninda Lutfiani; Adele Valerry
Blockchain Frontier Technology Vol. 6 No. 1 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/b-front.v6i1.1040

Abstract

The background of this study is based on the growing reliance of businesses on digital data driven by digital transformation, which demands higher standards of data security and transparency. The IoT and Blockchain are recognized as key technologies that can address these issues, yet empirical research exploring their combined roles remains limited. The objective of this research is to examine the role of the IoT in strengthening business data security, the role of Blockchain in enhancing data transparency, and the effect of integrating both technologies on business data management. This study adopts a quantitative approach, with data gathered through questionnaires distributed to business practitioners who have implemented digital technologies. The data were analyzed using descriptive statistical methods and simple inferential analysis to identify relationships among the research variables. The results show that the IoT positively influences business data security through real time monitoring, while Blockchain improves data transparency and integrity through its immutable recording mechanism. Moreover, the integration of the Internet of Things and Blockchain produces a stronger impact on data security and transparency compared to their individual use. The study concludes that the adoption and integration of the Internet of Things and Blockchain provide effective strategies for organizations to enhance business data security and transparency, while also fostering stakeholder trust and supporting business sustainability in the digital era.
Improving MSME Competitiveness through Visual Design and Digital Branding Training Suryari Purnama; Felix Sutisna; Ninda Lutfiani; Dimas Aditya Prabowo; Syahyono Syahyono
ADI Pengabdian Kepada Masyarakat Vol 6 No 2 (2026): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v6i2.1457

Abstract

The strategic role of visual design and digital branding training in enhancing the competitiveness of micro, small, and medium enterprises (MSMEs) has become increasingly important in the digital economy era. Many MSMEs still face limitations in market reach and weak brand identity due to inadequate visual communication skills and minimal implementation of digital branding strategies. These challenges reduce their competitiveness in an increasingly competitive online marketplace. This community service program aims to analyze the impact of structured training in visual design and digital branding on improving brand perception, market visibility, and sales performance of MSMEs. This program employs a mixed-method approach by combining pre-test and post-test surveys, in-depth interviews, and direct observation. The participants consisted of 50 MSME actors who took part in a a three-month training program covering logo design, product packaging, social media branding, and digital marketing content creation. Quantitative data were analyzed using paired statistical tests, while qualitative data were examined through thematic analysis. The results indicate a significant improvement in brand consistency, visual attractiveness, digital engagement, and online sales growth after the participants completed the training program. Participants also reported increased confidence in managing brand assets and implementing digital communication strategies. It can be concluded that visual design and digital branding training represent an effective intervention to strengthen the competitiveness of MSMEs, support sustainable business growth, and promote the development of a resilient creative economy in the era of digital transformation.
Enhancing Social Value through Orange Technology Adoption in Creative Industry Micro Enterprises Ninda Lutfiani; Hindriyanto Dwi Purnomo; Heru Riza Chakim; Syahrul Mu’Arif Wahid; Oliver Sauntos
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1353

Abstract

Social media–based digital transformation has become an essential strategy for MSMEs to expand their market reach and strengthen consumer loyalty in the digital economy era. This article presents a conceptual review and empirical synthesis of digital business transformation strategies in MSMEs that utilize social media as the core channel for marketing and customer service. By integrating the Technology Acceptance Model (TAM), Customer Engagement theory, and the Resource-Based View, this paper proposes a strategic framework consisting of (1) digital capabilities, (2) content and engagement, (3) digital after-sales services, and (4) a collaborative ecosystem (platforms and micro-influencers). The literature synthesis indicates that interactive social media activities and responsive services are consistently associated with increased customer engagement and brand loyalty among MSMEs. Practical recommendations and future research directions are provided to support MSMEs in implementing loyalty-oriented digital transformation.
Strategy of Production Efficiency and Improving the Quality of Wooden Sofa Legs in the Manufacturing Industry Untung Rahardja; Ninda Lutfiani; Muhamad Alfi Duwi Juliansah; Ethan Aptman
Startupreneur Business Digital (SABDA Journal) Vol. 4 No. 2 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v4i2.867

Abstract

This study relates to the challenges faced by the wood furniture industry, specifically in the production of wooden sofa legs, which encounter issues with production efficiency and product quality. Many small and medium-sized enterprises still rely on manual processes that are time-consuming and result in products with varying quality. This research aims to formulate production efficiency strategies that can improve product quality without compromising costs or quality standards. The method used is a descriptive qualitative approach with a case study of a small furniture industry in Pacitan, East Java, through observations, interviews, and documentation, and data analysis using the Miles and Huberman model. The gap in this research lies in the lack of in-depth studies on the production of wooden sofa legs in the context of small and medium-sized industries in Indonesia, particularly in the application of lean manufacturing principles and quality control. The novelty of this research is the integration of lean manufacturing principles and quality control tailored to the specific conditions of small furniture industries, providing strategic recommendations that are practical for industry players. The results and discussion show that the application of the 5S system and production layout improvements successfully increased efficiency and reduced waste, while the implementation of strict quality control at each stage of production improved product consistency. The study also found that worker training and the application of Standard Operating Procedures (SOPs) significantly improved product quality.
A Framework for Mining Customer Data in Management Information Systems Untung Rahardja; Ninda Lutfiani; Agung Rizky; Yul Ifda Tanjung; Richard Evans
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m5qymx32

Abstract

The exponential growth of customer data within Management Information Systems (MIS) has generated an urgent need for structured analytical approaches capable of transforming raw information into valuable insights that support decision-making across various organizational processes. This study aims to develop a comprehensive and systematic framework for mining customer data in MIS by integrating preprocessing procedures, machine learning algorithms, and model evaluation techniques into a unified analytical workflow. Using the Design Science Research methodology, the framework was designed based on existing data mining standards, developed through iterative refinement, and demonstrated using a customer-behavior dataset processed with clustering, classification, and association rule mining techniques. The findings reveal that the proposed framework improves data quality, enhances segmentation accuracy, and strengthens predictive capability, enabling MIS to deliver deeper insights into customer behavior, purchasing tendencies, and potential churn risks. Experimental results show that combining K-Means, Random Forest, and Apriori algorithms yields more comprehensive and reliable patterns compared to using a single analytical technique. The outcomes of this research highlight the practical significance of applying an integrated data mining approach in MIS, allowing organizations to optimize marketing strategies, personalize services, and make more informed managerial decisions. Overall, this study contributes to the field by offering a scalable, adaptable, and effective framework for implementing customer data mining within real-world MIS environments.
Trustworthy Machine Learning Evaluation Framework for Robust and Interpretable Intelligent Systems Ninda Lutfiani; Sutarto Wijono; Rifqa Nabila Muti; Yasir Mustafa Kareem
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1067

Abstract

Artificial intelligence (AI) deployment in critical domains requires machine learning systems that are not only accurate but also robust, interpretable, fair, and aligned with responsible governance principles. However, conventional machine learning evaluation approaches often prioritize predictive performance and computational efficiency while giving limited attention to ethical accountability, transparency, regulatory compliance, and sustainability. This study aims to develop a trustworthy machine learning evaluation framework for robust and interpretable AI systems. The focus of the study is the evaluation of intelligent systems across healthcare, finance, and transportation, where reliability and accountability are essential for real-world deployment. A qualitative case study approach was employed through expert interviews, literature analysis, document review, and cross-domain case comparisons to identify key evaluation dimensions. The findings show that trustworthy evaluation should integrate technical indicators, including accuracy, robustness, and interpretability, with broader dimensions such as fairness, accountability, governance compliance, and social responsibility. The proposed framework provides a structured model for assessing intelligent systems beyond conventional performance metrics. It also supports better consistency in interpretability assessment, stronger fairness evaluation, and improved alignment with international AI governance expectations. This study contributes to the development of responsible AI by offering a practi- cal evaluation framework that can guide researchers, developers, and institutions in designing machine learning systems that are reliable, transparent, and socially accountable. The framework has implications for sustainable and compliant AI implementation in high-impact sectors.
Optimizing Search Engine Optimization Strategies to Increase Visibility and Author Awareness in Scientific Journals Ninda Lutfiani; Adam Faturahman; Ramzi Zainum Ikhsan; Harry Agustian; Gelard Godwin
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1527

Abstract

This study aims to analyze the optimization of Search Engine Optimization (SEO) strategies to increase journal visibility and author awareness in Technomedia Journal. In the era of digital publication, scientific journals are not only required to publish quality articles but also to be easily found through search engines and academic platforms. This study employed a quantitative approach by distributing questionnaires to 101 respondents, including authors, researchers, academics, and journal users familiar with Technomedia Journal. The data were analyzed using the Structural Equation Modeling (SEM-PLS) method with the help of SmartPLS software. The research model consists of SEO, Paper Quality (PQ), Open Journal Systems (OJS), and indexing and digital presence as independent variables, journal visibility as an intervening variable, and author awareness as a dependent variable. The results showed that indexing and digital presence have the strongest influence on journal visibility with a path coefficient value of 0.641. In addition, journal visibility also has a strong positive effect on author awareness with a path coefficient value of 0.670. The R-square value for journal visibility is 0.804, which means that 80.4% of the variation in journal visibility can be explained by the independent variables. Meanwhile, the R-square value for author awareness is 0.704, which means that 70.4% of the variation can be explained by journal visibility and SEO. These findings indicate that strengthening indexing, digital presence, article PQ, OJS management, and SEO strategies in an integrated manner can increase journal visibility and author awareness of Technomedia Journal.
Enhancing Transparency and Efficiency in Startupreneur Development through Blockchain Enabled Digital Finance: Transparansi dan Efisiensi Pengembangan Startupreneur pada Keuangan Digital Berbasis Teknologi Blockchain Dwi Andayani; Jihad Fadel Muhamad; Ninda Lutfiani; Wahyu Nur Wahid; Kgomotso Moyo
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 1 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i1.1236

Abstract

Blockchain technology has become a vital foundation in the transformation of digital financial systems, particularly in supporting the growth of startupreneurs whorequire fast, secure, and transparent financial access. This study aims to analyze howtheimplementation ofblockchain technology can enhance operational efficiency and financial transparency in the development of digital startup businesses. Using a qualitative approach through literature review and best practice analysis, the research reveals that blockchain enables decentralized transactions, minimizes intermediaries, and ensures high data integrity ultimately strengthening investor and consumer trust in the startupreneur ecosystem. The adoption of smart contracts, immutable records, and automated verification also contributes to accelerating financial processes and mitigating fraud risks. However, challenges such as regulatory complexity, digital infrastructure readiness, and data security concerns remain obstacles to widespread blockchain adoption. These findings affirm that blockchain holds significant potential in creating a more inclusive, efficient, and sustainable digital financial model, in line with Sustainable Development Goals (SDGs) points 8 and 9. Recommendations are provided for startupreneurs and stakeholders to strategically integrate this technology into digital business development.
Grant Submission Monitoring System Based on Orange Technology Using Laravel 12 and Vue.js Indira Puspa Gustiah; Ninda Lutfiani; Muhamad Rapidan Kusuma; Etty Puji Lestari; Thomas Green
Journal of Orange Technology Vol. 1 No. 2 (2025): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v1i2.24

Abstract

The development of effective digital systems for managing research and community service grants is essential to ensure transparency, administrative efficiency, and user comfort within academic environments. However, many institutions still rely on manual processes or outdated platforms, resulting in unclear progress tracking, slow information updates, and increased emotional stress for lecturers as proposal authors. This study proposes a Grant Submission Monitoring System based on Orange Technology, an approach that emphasizes human-centered design, emotional well-being, and socially responsible innovation. The system was developed using the SDLC Waterfall model, employing Laravel 12 as a secure and high-performance backend framework and Vue.js to deliver an interactive Single Page Application (SPA) interface. Functional validation was conducted through Black Box Testing to ensure accuracy and reliability across all modules. The resulting system provides real-time notifications, structured visualization of proposal stages, and faster administrative processing, reducing delays by up to 40% compared to traditional methods. The SPA architecture enables a responsive experience with an average content rendering time of approximately 150 ms after initial load, supporting seamless user interaction. Feedback from lecturers indicates reduced uncertainty, increased trust, and greater emotional comfort due to clearer information flow and improved interface intuitiveness. Overall, the system demonstrates how Orange Technology principles can be integrated into academic information systems to create solutions that are not only efficient and transparent but also supportive of user well-being. This approach offers a scalable foundation for enhancing institutional governance and strengthening digital services across diverse educational contexts.