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Journal : Journal of Ekonomics, Finance, and Management Studies

Penerapan Kursus Berbasis Rapid Rural Appraisal Sebagai Upaya Internasionalisasi Konten Media Pembelajaran Augmented Reality Abdul Rahman Prasetyo; Fikri Aulia; Fuad Indra Kusuma; Mohamad Firzon Ainur Roziqin; Nila Rahmawati; Eka Putri Surya; Alby Aruna; Adinda Marcelliantika
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 11 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i11.3997

Abstract

This research aims to develop and implement a Rapid Rural Appraisal (RRA) based course to internationalize augmented reality (AR) based learning media content. The RRA method is used to identify international needs and preferences for AR learning content. The results of RRA become the basis for developing strategies that include content development, platforms, marketing and promotions. Implementation involves developer training, international collaboration, and regular evaluation and monitoring to ensure successful internationalization. The findings suggest that the integration of local cultural and linguistic elements in AR content as well as the use of platforms that support multilingualism can increase user engagement in international markets. Evaluations also show increased understanding and appreciation of AR learning materials in various countries.
Pola Penerapan Implementasi Teknologi Tepat Guna Berbasis Machine Learning dalam Identifikasi Keramik sebagai Infrastruktur Wisata Edukasi di Desa Pagelaran Abdul Rahman Prasetyo; Iriaji; Ike Ratnawati; Alby Aruna; Eka Putri Surya; Adinda Marcelliantika; Nila Rahmawati
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 5 No. 11 (2024): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v5i11.3998

Abstract

The application pattern of appropriate technology based on machine learning for ceramic identification as educational tourism infrastructure in Pagelaran Village aims to enhance the effectiveness and efficiency of the ceramic identification process. This program employs machine learning algorithms to classify and recognize various types of ceramics based on visual and textural characteristics. Through this approach, educational tourism in Pagelaran Village can offer an interactive and immersive learning experience for visitors. Initial results indicate increased accuracy in ceramic identification and heightened visitor interest and engagement. This initiative is expected to support the development of technology-based educational tourism in Pagelaran Village.