Claim Missing Document
Check
Articles

Found 25 Documents
Search

Peran Pameran IFEX 2024 dalam Pengembangan Kompetensi dan Inovasi Mahasiswa Desain Interior di Universitas Pradita Harlis Setiyowati; Widasapta Sutapa; Rizki Kurniawan
Ekspresi : Publikasi Kegiatan Pengabdian Indonesia Vol. 1 No. 2 (2024): Publikasi Kegiatan Pengabdian Indonesia
Publisher : Asosiasi Seni Desain dan Komunikasi Visual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/ekspresi.v1i2.164

Abstract

The IFEX 2024 exhibition marks an important milestone in advancing competence and innovation in the field of interior design in Indonesia. With a focus on student participation, the exhibition not only showcases their creative works but also serves as a platform to enhance their understanding of the dynamic interior design industry. This article explores the role of the IFEX 2024 exhibition in facilitating education, innovation, and partnerships for sustainable development. Through meetings between students, industry practitioners, and other stakeholders, the exhibition encourages cross-sector collaboration to create sustainable and competitive design solutions. With a focus on related SDGs, such as quality education, inclusive economic growth, and sustainable city development, this article underlines the importance of the IFEX 2024 exhibition in building a better future for the Indonesian interior design industry, especially Pradita University students.
The Role of Artificial Intelligence in Optimizing Scholarship Programs: Implications for Indonesia's Educational Development Prasetyo, Muhammad Teguh; Dazk, Erick; Akbariani, Nurhaliza Vania; Harriz, Muhammad Alfathan; Setiyowati, Harlis
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.44753

Abstract

This study explores the potential of Artificial Intelligence (AI) in optimizing scholarship allocation processes within Indonesia's higher education system. The research highlights the challenges faced in the traditional scholarship distribution methods, including inefficiencies and biases, which hinder equitable access to educational opportunities for underprivileged students. By employing a systematic literature review (SLR) using the PRISMA methodology, the study investigates various AI techniques, including K-Nearest Neighbors, Naive Bayes, Decision Trees, and Fuzzy Logic, to improve the accuracy and efficiency of scholarship selection. The findings demonstrate that AI-driven approaches can enhance transparency, fairness, and resource allocation, aligning with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). The integration of AI can help optimize government programs like KIP Kuliah, ensuring that scholarships are awarded to the most deserving candidates. However, challenges such as improving data quality, model selection, and ensuring fairness and transparency in decision-making remain. Future research should focus on addressing these challenges, exploring more advanced AI techniques, and assessing the long-term impact of AI-driven scholarship allocation on educational outcomes and social mobility in Indonesia.
Optimizing Agricultural Supply Chain Transparency in Indonesia through Blockchain and Smart Contracts Konita Lutfiyah; Harlis Setiyowati; Cicilia S Bangun; Amroni; Carlos Perez
Blockchain Frontier Technology Vol. 5 No. 1 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i1.740

Abstract

This research explores the integration of blockchain technology within Smart Farming 4.0 to improve efficiency, transparency, and sustainability in Indonesia’s agricultural sector. the challenge of transforming traditional agriculture into a modern, data-driven system remains significant, especially for smallholder farmers. By leveraging blockchain, the Internet of Things (IoT), and Artificial Intelligence (AI), In this study, investigates how these technologies can opti- mize supply chains, enhance product traceability, and reduce distribution costs. Employing a mixed-method approach, data were collected through interviews with farmers utilizing blockchain-based systems and surveys targeting milenial farmers. The findings reveal that blockchain significantly improves trace- ability and logistics efficiency, while highlighting key barriers such as low digital literacy and limited access to technology. The results emphasize the importance of government and private sector collaboration in providing incentives, digital literacy training, and infrastructure support. Ultimately, the study offers practical insights into accelerating digital transformation in agriculture and promoting sustainable food systems through technological innovation.
Design and Implementation of a Relational Database for an Academic Information System Azuddin, Muna; Yusup, Muhamad; Setiyowati, Harlis; Wibowo, Shesilia; Suwita, Jaka; Basuki, Sucipto; Astuti, Eka Dian
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.801

Abstract

This paper focuses on the design and implementation of a relational database for an Academic Information System (AIS), aiming to streamline data management and improve the efficiency of academic processes. The study highlights challenges faced by educational institutions in managing large volumes of student and academic data, often resulting in inefficiencies and errors. The objective is to create a relational database supporting student information, course registrations, faculty assignments, and academic records. The methodology includes developing an Entity-Relationship (ER) model, applying database normalization, and implementing the system using Structured Query Language (SQL). The result is a functional database that improves data retrieval speed, enhances integrity, and simplifies access for academic staff and administrators. The solution contributes to optimizing academic data management by ensuring consistency, reducing errors, and offering scalability for future growth. This research also includes system performance evaluations and stakeholder feedback from faculty, staff, and students. Findings reveal significant improvements in usability, accuracy, and system responsiveness compared to prior legacy systems. Integrated security measures, including role-based access and encryption, safeguard data and ensure compliance with institutional privacy policies. The relational database framework supports real-time access, centralized control, and efficient administrative workflows. Overall, this system strengthens digital infrastructure in educational institutions and aligns with broader digital transformation goals. It enhances data-driven decision-making and supports sustainable, scalable, and secure academic information management, making it a valuable contribution to improving operational performance and educational service delivery in higher education settings.
Digital Meets Distribution: Quantifying the Impact of Logistics Integration in Emerging Market Omnichannel Retail Akbariani, Nurhaliza Vania; Setiyowati, Harlis
Data : Journal of Information Systems and Management Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i4.920

Abstract

This study examines the impact of omnichannel logistics integration on retail service level performance in Indonesia between 2020 and 2024. Amidst rapid digital transformation in Southeast Asia, major Indonesian retailers such as AMRT, MIDI, MAPI, and LPPF have implemented innovations including store hubs, click-and-collect, and Pay & Pick services to meet evolving consumer expectations. Using firm-level quarterly panel data and employing fixed effects and event study models, the study analyzes how omnichannel logistics adoption represented by infrastructure investments and digital feature rollout affects service-level indicators such as inventory turnover, fill rate, and on-time delivery. The findings indicate that logistics integration significantly improves service metrics, with firms observing a 4–6% improvement in performance indicators within two quarters of implementation. This underscores the strategic value of aligning digital and physical infrastructure in emerging markets, offering evidence that logistics integration enhances both operational efficiency and service quality. The study contributes to both theoretical literature and practical retail strategies by framing omnichannel performance through a quantitative, data-driven lens.