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UTILIZATION OF ARTIFICIAL INTELLIGENCE IN TOURISM MARKETING MANAGEMENT OF PALEMBANG CITY TO ENHANCE DESTINATION COMPETITIVENESS Wahyuni, Sri; Yuniarsih , Yuyun; Rismayanti , Anggita; Fathurrahman, Fikry
Multifinance Vol. 3 No. 2 (2025): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v3i2.436

Abstract

This study examines the utilization of Artificial Intelligence (AI) in tourism marketing management to enhance the competitiveness of Palembang City as a tourist destination. The main issue addressed is the lack of innovation in marketing strategies, which have not been adaptive to technological advancements. The objective of this research is to identify how AI implementation can optimize destination promotion and attract more tourists. The research was conducted in Palembang City using a qualitative descriptive method. Data collection techniques included interviews, observations, and document analysis involving tourism stakeholders. The results of the study indicate that the use of AI-based tools such as chatbots, virtual tours, and data analytics can improve marketing effectiveness and tourist engagement. The conclusion emphasizes the importance of integrating AI strategies into tourism marketing to create more personalized, efficient, and engaging promotional efforts.
IMPLEMENTATION OF IOT-BASED SMART AQUACULTURE TO EMPOWER NILA FARMERS IN BAGINDA VILLAGE Abdul Muhaemin, Muhamad Nurdin; Ramdon, Edwar J.; Wahyuni, Sri; Adha, Fadhil Firdaus; Fathurrahman, Fikry
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 10 No. 1 (2026): MARET
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v10i1.3199

Abstract

This community service program was carried out at the fish farmer group (POKDAKAN) Tirta Mukti in Baginda Village, Sumedang Selatan District, with the main focus on implementing IoT-based Smart Aquaculture in a biofloc system to improve the quality and productivity of Nile tilapia culture. The situation analysis showed several priority problems: the absence of real-time water quality monitoring devices, non-systematic recording of production and feed conversion ratio (FCR), weak business management, and the absence of digital marketing and attractive, licensed processed products. The implemented method combined socialization, training, field implementation, mentoring, and sustainability planning in a participatory approach. The solutions included installation of four water quality sensors (dissolved oxygen, pH, temperature, turbidity) integrated with a web-based monitoring application (https://smartaqua.my.id/), an automatic feeder, training on biofloc and business management, preparation of simple bookkeeping templates, and development of digital marketing tools (social media, WhatsApp Business, packaging design, and PIRT draft). The results show increased partner capacity in using IoT technology, improved efficiency of feed use, more structured production and financial recording, and the initiation of online-based marketing. This program demonstrates that the integration of IoT, biofloc technology, and digital marketing can enhance productivity, added value, and sustainability of small-scale tilapia farming in rural areas.