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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Waradin Journal of Sharia Economy and Islamic Tourism
Wahyuzi, Zikri
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Computer Science & IT Economics, Econometrics & Finance Engineering Social Sciences Other

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The Role of Artificial Intelligence in Transforming Smart Tourism: Enhancing Customer Experience and Service Personalization Sidiq, Zaini Fajar; Z, Sahman; Wahyuzi, Zikri; Ifada, Zuriyat
Journal of Sharia Economy and Islamic Tourism Vol 5, No 2 (2025): Maret
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jseit.v5i2.30705

Abstract

Abstract: This research aims to examine the role of artificial intelligence (AI) in transforming smart tourism, with a focus on improving traveler experience and personalizing services. A Systematic Literature Review approach was used to analyze literature published in the last 10 years from reputable indexers such as Dimensions, DOAJ and Scopus. The results show that technologies such as AI, virtual reality (VR), and augmented reality (AR) have great potential to revolutionize the tourism industry. These technologies enable personalization of services, more efficient management of tourist flows, as well as the provision of real-time relevant information that can improve tourist experience and environmental sustainability. Despite progress in the application of these technologies, research gaps still exist, particularly in developing smart tourism models that integrate local and cultural values, as well as the application of technologies that support ecosystem preservation. In Indonesia, the development of smart tourism models that take into account the richness of local culture and history needs to be further encouraged through further research to create an inclusive and sustainable approach. Therefore, there is a need to develop a smart tourism model that integrates ecosystem sustainability, cultural heritage preservation, and technological solutions to address ethical issues related to the use of travelers' personal data.Abstrak: Penelitian ini bertujuan untuk mengkaji peran kecerdasan buatan (AI) dalam mentransformasi pariwisata cerdas, dengan fokus pada peningkatan pengalaman wisatawan dan personalisasi layanan. Pendekatan Systematic Literature Review digunakan untuk menganalisis literatur yang dipublikasikan dalam 10 tahun terakhir dari pengindeks bereputasi seperti Dimensions, DOAJ dan Scopus. Hasil penelitian menunjukkan bahwa teknologi seperti AI, realitas virtual (VR), dan augmented reality (AR) memiliki potensi besar untuk merevolusi industri pariwisata. Teknologi ini memungkinkan personalisasi layanan, pengelolaan aliran wisatawan yang lebih efisien, serta penyediaan informasi relevan secara real-time yang dapat meningkatkan pengalaman wisatawan dan keberlanjutan lingkungan. Meskipun ada kemajuan dalam penerapan teknologi ini, kesenjangan riset masih ada, khususnya dalam mengembangkan model pariwisata cerdas yang mengintegrasikan nilai lokal dan budaya, serta penerapan teknologi yang mendukung pelestarian ekosistem. Di Indonesia, pengembangan model pariwisata cerdas yang memperhitungkan kekayaan budaya dan sejarah lokal perlu lebih didorong melalui riset lebih lanjut untuk menciptakan pendekatan yang inklusif dan berkelanjutan. Oleh karena itu, perlu ada pengembangan model pariwisata cerdas yang mengintegrasikan keberlanjutan ekosistem, pelestarian warisan budaya, dan solusi teknologi untuk mengatasi masalah etika terkait penggunaan data pribadi wisatawan.
Predicting Smart Office Electricity Consumption in Response to Weather Conditions Using Deep Learning Wahyuzi, Zikri; Ahmad Luthfi; Dhomas Hatta Fudholi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 1 (2024): February 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i1.5530

Abstract

This study investigates the intricate relationship between electricity consumption in smart office environments, temporal elements such as time, and external factors such as weather conditions. Using a data set that encompasses electrical consumption statistics, temporal data, and weather conditions, the research employs preprocessing, visualization, and feature engineering techniques. The predictive model for electric energy usage is constructed using deep learning architectures, including Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (Bi-LSTM), Gated Recurrent Unit (GRU), and Bidirectional Gated Recurrent Unit (Bi-GRU). Evaluation metrics reveal that the LSTM model outperforms others, achieving minimal Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). The study acknowledges the limitations of the data set, particularly when comparing electricity usage during work hours and outside working hours in a residential context. Future research aims to address these limitations, considering detailed meteorological data, missing data imputation, and real-time applications for broader applicability. The ultimate goal is to develop a predictive model that serves as a valuable tool for improving energy management in smart office settings, optimizing electricity usage, and contributing to long-term firm profitability.
Pemanfaatan Teknologi Digital dan Kecerdasan Buatan dalam Menunjang Ekonomi Desa Melalui UMKM Irwan, Andesta Granitio; Wahyuzi, Zikri; Dalimunthe, Nurzaidah Putri; Martahayu, Vika; Juliansyah, Ari
Jurnal Pengabdian Masyarakat Waradin Vol. 5 No. 3 (2025): September : 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.v5i3.655

Abstract

The village economy supported by MSMEs is very important for the progress of a village, especially in the islands, but limited access provides minimal opportunities for MSMEs to develop. Kumbung Village, located in South Bangka Regency, is one of the villages that has the above problems, therefore in increasing the competence of MSMEs, it is necessary to socialise the potential and use of digital technology, especially the use of intelligence that is relatively easy and inexpensive to use. Community service activities are carried out at the Kumbung Village Office with the target of village officials and the community, especially technology-savvy teenagers. The community service programme focused on the use of artificial intelligence in designing strategies to improve the quality of MSMEs and explore the potential of the village that can support the economy of residents. In the service programme, the practice of using Gemini.Ai was carried out to find the potential of MSMEs, making logos as product branding, and marketing strategies. The results obtained were the addition of skills of socialisation participants related to the use of Gemini.Ai in providing ideas and strategies as well as branding village MSME products with positive results and participants understood the advantages and disadvantages in the Gemini.Ai application in providing assistance for the marketing process of MSME products.
Co-Authors Ahmad Luthfi Andesta Granitio Irwan Dalimunthe, Nurzaidah Putri Dhomas Hatta Fudholi Ifada, Zuriyat Juliansyah, Ari Martahayu, Vika Sidiq, Zaini Fajar Z, Sahman