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Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

Analysis of AI-Based Big Data for Strategic Decision-Making in E-Commerce Oktaviani, Intan; Purawanto, Eko; Triana, Triana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4192

Abstract

In the current digital era, e-commerce faces significant challenges in managing and analyzing vast and complex data. Big Data presents tremendous opportunities for gaining valuable insights, but traditional analysis methods often need to be more accurate and relevant information. Artificial Intelligence (AI) emerges as an effective solution to this challenge, with its ability to deeply analyze data and identify patterns and trends that conventional methods may overlook. By leveraging AI, e-commerce companies can make faster and more accurate strategic decisions, such as optimizing marketing, managing inventory, and personalizing customer experiences. Although there are challenges in implementing this technology, such as data integration and security, the benefits of using AI in Big Data analysis are substantial. In conclusion, AI is crucial in supporting data-driven strategic decision-making in the e-commerce sector.
Collaborative Participatory Accounting and Internal Audit in Increasing Public Trust in Village-Owned Enterprises Meikhati, Ety; Sundari, Sundari; Oktaviani, Intan
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/0p2dqd16

Abstract

Village-Owned Enterprises (BUMDes) face various governance challenges, weak internal audit mechanisms, limited community participation, to inadequate human resource capacity, all of which ultimately lead to a deficit of public trust in the management of village funds. The absence of clear financial reports, delays in information disclosure, and minimal community involvement have further fueled public suspicion, while weak internal auditing has allowed potential errors, inefficiencies, and even fraud to go undetected. To overcome these issues, a transformation in financial governance is required through the implementation of participatory accounting, which directly involves the community in financial recording, reporting, and evaluation. The collaboration between these two mechanisms will create a balanced synergy between openness and oversight, thereby encouraging the establishment of transparent, accountable, and sustainable BUMDes governance. This solution must be supported by enhancing the capacity of BUMDes managers through training, adopting digital systems to simplify financial reporting, and involving village community forums as platforms for public accountability. For effective implementation, village governments are advised to issue regulations mandating participatory accounting and internal audit practices, establish independent supervisory bodies that include community representatives, and gradually adopt simple and user-friendly digital financial technologies. Furthermore, BUMDes must cultivate an organizational culture grounded in openness, integrity, and collective responsibility so that transparency is not merely a formal procedure, but a value embedded in every aspect of village enterprise management.
The Role of Local Wisdom in Driving Innovation and Green Economic Growth through Digital Platforms Oktaviani, Intan; Widyaningsih, Pipin; Triana; Husin, Husna Sarirah
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/99zprq92

Abstract

This study investigates the transformative potential of integrating local wisdom encompassing indigenous knowledge, cultural values, and traditional ecological practices into digital platforms to drive innovation and foster green economic growth, aligning with global sustainability agendas. It highlights how local wisdom, often manifested in heritage crafts, regenerative agriculture, and community-based resource management, serves as a foundation for eco-friendly production systems, ethical trade, and inclusive entrepreneurship when amplified through digital technologies such as e-commerce, traceability systems, and financial technology. Employing a mixed-method approach involving case studies from Asia, Africa, and Latin America alongside quantitative analyses of export growth, job creation, and supply chain resilience, the research reveals that embedding cultural identity and sustainable practices into digital commerce enhances product authenticity, attracts premium markets, reduces carbon footprints through localized production, and empowers marginalized groups, including women and indigenous communities. The findings underscore that such integration not only contributes to fair trade and decent work but also strengthens biodiversity conservation, promotes circular economy principles, and mitigates socio-economic inequalities. The study recommends implementing policy incentives, digital literacy programs, and multi-stakeholder collaborations between governments, platform developers, and cultural institutions to scale these initiatives, ultimately positioning local wisdom as a strategic driver for environmentally responsible, socially inclusive, and innovation-driven economic transformation in the digital era.
DIGITAL MARKETPLACE IN SMEs SUSTAINABILITY Oktaviani, Intan; Triana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3432

Abstract

The application of the K-Means algorithm in digital marketplaces is an effective data analysis strategy for grouping customers, products or reviews based on certain characteristics. In the context of digital marketplaces, K-Means is used to understand customer behavior, improve the shopping experience, and optimize business operations. This article describes the basic concept of implementing K-Means in a digital marketplace, including implementation steps and benefits that can be obtained. This method helps marketplaces in customer segmentation, product recommendations, sentiment analysis, and data-driven decision making. By using K-Means, digital marketplaces can optimize marketing strategies, product and service offerings, and increase overall customer satisfaction. In conclusion, the K-Means algorithm is an important tool in data analysis that supports the growth and success of digital marketplaces in the ever-developing digital era.
Analysis of AI-Based Big Data for Strategic Decision-Making in E-Commerce Oktaviani, Intan; Purawanto, Eko; Triana, Triana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4192

Abstract

In the current digital era, e-commerce faces significant challenges in managing and analyzing vast and complex data. Big Data presents tremendous opportunities for gaining valuable insights, but traditional analysis methods often need to be more accurate and relevant information. Artificial Intelligence (AI) emerges as an effective solution to this challenge, with its ability to deeply analyze data and identify patterns and trends that conventional methods may overlook. By leveraging AI, e-commerce companies can make faster and more accurate strategic decisions, such as optimizing marketing, managing inventory, and personalizing customer experiences. Although there are challenges in implementing this technology, such as data integration and security, the benefits of using AI in Big Data analysis are substantial. In conclusion, AI is crucial in supporting data-driven strategic decision-making in the e-commerce sector.