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All Journal Jurnal Pengabdian Masyarakat Waradin Journal of Information Technology and society (JITS)
Suprayuandi Pratama
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Computer Science & IT Social Sciences Other

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Pemanfaatan Media Sosial dalam Pemasaran Produk UMKM (Ikan Keruk) di Kelurahan Air Jukung, Kabupaten Bangka Suprayuandi Pratama; Ariska Ariska; Melly Melly; Helmalia Helmalia; Dina Mariska; Ullia Asyhari; Lupita Lupita; Tsabita Putri Anjani; Candra Alamsyah; Junaidi Junaidi
Jurnal Pengabdian Masyarakat Waradin Vol. 4 No. 3 (2024): Jurnal Pengabdian Masyarakat Waradin
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/wrd.v4i3.382

Abstract

Technological developments have brought many changes, especially in the way we interact and do business. Currently, social media is widely used as a marketing platform for MSME products, this is because through social media the dissemination of information occurs quickly and it also allows MSME players to communicate with consumers directly and promote their products at relatively low costs. However, there are still many MSME actors who have not optimally utilized social media, such as dredged fish MSME actors in Air Jukung sub-district who only use Facebook to market their products. Because of this, the aim of this service is to provide assistance and direct practice in using social media to MSMEs in dredging fish in Air Jukung sub-district in optimizing marketing strategies in an interesting and unique way. The method for this service is in the form of training in making unique posters through the Canva application and interesting content on social media and processing it to attract consumer interest. The results of the service activities ran smoothly and received a positive response from social media users.
Pengembangan Aplikasi Asisten Virtual Menggunakan Machine Learning Berbasis Mobile untuk Meningkatkan Pelayanan Kampus di Universitas Muhammadiyah Bangka Belitung Gunawan, Ari; Eka Altiarika; Suprayuandi Pratama; Yudistira Bagus Pratama
Jurnal Teknologi Informasi dan Masyarakat Vol 2 No 2 (2024): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v2i2.45

Abstract

The development of technology, particularly in the fields of artificial intelligence (AI) and machine learning, has transformed the paradigm of information services across various sectors, including education. This research aims to develop a mobile-based virtual assistant application using machine learning algorithms to enhance information accessibility at Universitas Muhammadiyah Bangka Belitung. The research methodology employed in this study is a qualitative approach with a waterfall development model. Data collection was conducted through observation, interviews, and questionnaire distribution. The research findings indicate that the developed virtual assistant application is capable of providing faster, more precise, and accurate information services to students, faculty, and other campus stakeholders. The benefits of this research include improved time efficiency in information services, reduction of errors in information delivery, and enhancement of campus reputation. This research has practical implications, including recommendations for Universitas Muhammadiyah Bangka Belitung to continue developing and implementing virtual assistant applications as part of a strategy to enhance technology-based information services in the future. This research's theoretical contributions expand the literature on the application of AI and machine learning technologies in higher education contexts in Indonesia, while also providing practical insights for other educational institutions interested in adopting similar technologies. Furthermore, this research opens up opportunities for further studies into the development of AI-based information systems in educational environments. Keywords: Virtual Assistant; Machine Learning; Artificial Intelligence; Mobile Application; Information Services
Co-Authors Ari Gunawan Ariska Ariska Candra Alamsyah Dina Mariska Eka Altiarika Helmalia Helmalia Junaidi Junaidi Lupita Lupita Melly Melly Tsabita Putri Anjani Ullia Asyhari Yudistira Bagus Pratama