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All Journal Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Evans, Richard
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Big Data Analytics and Online Promotional Strategies to Boost Digital Business Sales: Analisis Big Data dan Strategi Promosi Online untuk Meningkatkan Penjualan Bisnis Digital Nurhaeni, Tuti; Azka, Refa; Arasid, Nova Syahrani; Sunengsih, Meriyana; Evans, Richard
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.v6i1.1242

Abstract

In todays competitive and dynamic digital business landscape, the utilization of Big Data Analytics (BDA) and online promotional strategies has become a critical factor in driving sales growth and sustaining competitive advantage. This study aims to analyze how the integration of BDA with digital promotional strategies can enhance the effectiveness of marketing campaigns and support more strategic decision-making in online business management. Employing a mixed-methods approach, the research combines quantitative data from a survey of 120 digital business managers and qualitative insights from in-depth interviews with decision-makers in the e-commerce and startup sectors. The findings reveal that the implementation of BDA enables companies to identify consumer trends, personalize promotions in real time, and optimize marketing budget allocation. Data-driven promotional strategies have proven to be more adaptive and directly impact the improvement of conversion rates and customer loyalty. However, challenges such as the complexity of data system integration, short-ages in analytical talent, and concerns over consumer privacy present significant barriers that require strategic management. This study underscores that synergy between analytical capabilities and measurable digital promotion is essential to achieving sustainable sales growth in the digital era. The results offer practical contributions for industry practitioners and academics in designing marketing approaches that are data-driven and outcome-oriented. By highlighting both the opportunities and obstacles in integrating BDA with digital marketing strategies, this research emphasizes the need for aligning technological advancement with organizational readiness and strategic focus to fully leverage the benefits of big data in modern business operations.
Optimizing the Potential of 3D Printing for Industry from Prototype to Production Setiawan, Mohamad Agus; Rafika, Ageng Setiani; Ikhsan, Ramzi Zainum; Lutfiani, Ninda; Evans, Richard
ADI Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The adoption of 3D printing technology has increased across various industrial sectors due to its ability to accelerate product development, reduce production costs, and support flexible manufacturing. However, implementation at the community and small–medium industry level remains limited due to gaps in technical skills, digital design knowledge, and structured technology transfer. This community service program aims to enhance the practical capacity of industrial partners in utilizing 3D printing, particularly in transitioning from prototyping to small-scale production. The program used the Participatory Action Research (PAR) approach through needs assessment, technology transfer training, hands-on practice, mentoring, and evaluation. Participants were guided in 3D modeling, printer setup, material selection, and print optimization. The program improved participants technical skills and confidence in producing functional prototypes according to industrial needs. Production time was reduced, design modification became more efficient, and opportunities for product innovation increased, supporting independent and adaptive manufacturing. This program successfully strengthened community-based industrial capabilities in adopting digital manufacturing, contributing to SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure). Future activities are recommended to expand collaborative product development and sustain innovation networks between academia and industry.
Assessing the Environmental and Economic Effects of Smart Grid Integration Using SEM Evans, Richard; Oganda, Fitra Putri; Setiawan, Mohamad Agus; Nurjanah, Lina; Sunengsih, Meriyana
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.934

Abstract

The global shift toward renewable energy has intensified the need for intelligent energy management systems capable of addressing variability in power supply and optimizing system-wide performance. Smart grid technologies have emerged as a key enabler in achieving sustainable, efficient, and data-drivenvenergy distribution. This study employs a quantitative approach using Structural Equation Modeling (SEM) via SmartPLS to analyze data collected from stakeholders involved in renewable energy deployment, utility operations, and smart grid implementation. The model evaluates the relationships between smart grid integration, environmental performance, and economic outcomes. The primary aim of this research is to assess how smart grid adoption influences carbon emission reduction, energy efficiency enhancement, and cost optimization within renewable energy ecosystems. The SEM analysis indicates a statistically significant positive effect of smart grid integration on both environmental and economic indicators. Smart grid implementation improves energy efficiency by more than 30%, while operational cost savings reach up to 25% over extended periods. Carbon emission reduction is identified as a key mediating factor within the model, reinforcing the ecological benefits of smart grid adoption. The findings demonstrate that smart grid technologies contribute substantially to both sustainability and economic resilience in renewable energy management. The study provides actionable insights for energy policymakers, grid operators, and industry practitioners, highlighting the vital role of intelligent, data-driven infrastructures in advancing future global energy systems.
Bridging the Skills Gap Curriculum Transformation for Automation Industries and the Role of Digital Technopreneurship Tjahjono, Budi; Hermawan, Dadang; Millah, Shofiyul; Evans, Richard
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.620

Abstract

The rapid advancement of digital technology and industrial automation has compelled vocational education to undergo significant curriculum transformation to produce graduates equipped for the demands of the modern workforce. A persistent gap between educational content and industry requirements poses a critical challenge that must be addressed strategically. This study aims to examine the transformation of vocational curricula in preparing students with essential digital and automation related competencies, with a specific focus on the role of digital technopreneurship. The research employs a mixed-method approach, including literature reviews, curriculum analysis, and semi structured interviews with stakeholders from vocational institutions and automation driven industries. The findings highlight the urgent need to integrate emerging technologies such as automation systems, Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics into vocational programs to enhance their alignment with industrial needs. Additionally, the development of cross functional skills, including communication, teamwork, critical thinking, and problem solving, is identified as crucial to graduates success in dynamic work environments. The study underscores the importance of collaborative partnerships between educational institutions and industry players in designing adaptive, future ready curriculum. Furthermore, sustained investment in educational infrastructure and continuous professional development for educators is essential to ensure effective delivery of technology oriented learning. Future research is recommended to explore scalable models of curriculum innovation and to evaluate the long term impacts of digital skill integration on workforce competitiveness in the Industry 4.0 era.
A Framework for Mining Customer Data in Management Information Systems Untung Rahardja; Lutfiani, Ninda; Agung Rizky; Yul Ifda Tanjung; Evans, Richard
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.
Orange Technology for Humanistic Innovation in Higher Education Wibowo, Shesilia; Widjaya, Irene Apriani; Zanubiya, Jihan; Evans, Richard; Rahardja, Untung
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.899

Abstract

Amidst the rapid adoption of technology in education, a crucial challenge arises regarding the risk of dehumanizing learning. This study examines Orange Technology as a humanistic innovation approach that seeks to balance digital advancement with human values. Using a qualitative descriptive approach, this research analyzes literature from academic journals and technology education reports, which are then evaluated through a SWOT framework. The analysis results indicate that while Orange Technology holds significant potential to enhance students’ mental well being, digital empathy, and emotional engagement, its implementation faces significant challenges, including limited human resources and inadequate ethical regulations. Therefore, it is concluded that the success of this implementation requires a holistic strategy encompassing investment in human resource training, policy development, and interdisciplinary collaboration. This innovation model has strategic relevance to the Sustainable Development Goals (SDGs), particularly Goal 4 (Quality Education). By focusing on character development and mental well-being, this research contributes to creating an education system that is not only efficient but also inclusive, equitable, and relevant to the holistic needs of future generations.
Co-Authors Agung Rizky Arasid, Nova Syahrani Azka, Refa Budi Tjahjono Dadang Hermawan Fitra Putri Oganda Ikhsan, Ramzi Zainum Millah, Shofiyul Mohamad Agus Setiawan Ninda Lutfiani Nurhaeni, Tuti Nurjanah, Lina Rafika, Ageng Setiani Sunengsih, Meriyana Untung Rahardja Wibowo, Shesilia Widjaya, Irene Apriani Yul Ifda Tanjung Zanubiya, Jihan