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All Journal Jurnal Teknologi Informasi dan Multimedia bit-Tech
Asep Kurniawan
Jakarta State Polytechnic
Computer Science & IT

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Pengembangan Teknologi Metaverse Ekosistem E-Mobility Pada Pameran Teknologi International Berbasis Augmented Reality Noorlela Marcheta; Dewi Yanti Liliana; Agus Setiawan; Ilham Sidiq; Asep Kurniawan
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.563

Abstract

Augmented Reality (AR) can be used as a new technology in organizing virtual and paperless exhibitions to make the products on display more attractive and updated regularly. This can happen because AR is a technology that integrates the virtual and real worlds. AR has been widely used as a medium to assist in providing information in real-time in an interesting, interactive, and educational way. This journal explains the development of AR media and its feasibility as an international promotional media in introducing the E-Mobility Ecosystem. The E-Mobility Ecosystem is a PENTA-branded convertible electric car, one of PNJ's superior technologies. The Hannover Messe'23 exhibition with the theme "Making Indonesia 4.0" requires products to be displayed in digital form (paperless). Thus, an application is needed to support digital promotion. This research aims to develop a Marker-Based AR application as one of the promotional media for E-Mobility Ecosystem products, which consist of charging stations, electric vehicles, and the Center Of Otomo-tive. The output of this research is an application that can show E-Mobility Ecosystem products by displaying a 3D Model when the mobile camera is directed at a card given an Object marker. This research method uses the Multimedia Development Life Cycle (MDLC). This research has been successfully developed and distributed. This is evidenced by user assessment using a Likert scale with a success rate of 87.8% strongly agree.
Data-Driven Recommendation System Using Google Trends and Marketplace for MSMEs Susana Dwi Yulianti; Asep Kurniawan; Shierra Intan Anggari; Okta Gabriel Sinsaku
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3167

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are vital to Indonesia’s economic growth but often struggle to remain competitive in the rapidly evolving digital marketplace. A key challenge lies in promoting products that align with dynamic consumer preferences and online search trends. This study aims to design and develop a web-based recommendation system intended for MSME business owners and marketers, integrating product data collected through marketplace web scraping with search trend data from Google Trends. Using a Research and Development (R&D) approach with a prototyping model, the research involves stages of data collection, preprocessing, system modeling, implementation, and evaluation. The system utilizes a dataset of 1,028 marketplace products and applies a Hybrid Filtering approach that combines content-based filtering using TF-IDF and collaborative filtering, enhanced by Google Trends as an external weighting factor to improve contextual relevance. Developed using FastAPI and MySQL, the system achieved strong performance with a precision of 0.87, recall of 0.84, and an F1-score of 0.85. In practice, the system assists MSMEs such as local snack producers in identifying and promoting products aligned with trending consumer interests, thereby enhancing visibility and market competitiveness. This research contributes to advancing data-driven decision-making for MSMEs by offering a practical, adaptive, and trend-aware recommendation framework that supports more effective digital marketing strategies in real time.
Co-Authors Agus Setiawan Dewi Yanti Liliana Ilham Sidiq Noorlela Marcheta Okta Gabriel Sinsaku Shierra Intan Anggari Susana Dwi Yulianti