APPLICATION OF TOURISM RECOMMENDATIONS AT TANGGAMUS BASED ON ANDROID USING Figma MODEL

Genta Nirvana(1),


(1) STMIK PRINGSEWU
Corresponding Author

Abstract


Tourism in Indonesia is currently increasing in number and attractive, especially in the Tanggamus Regency area. Tanggamus Regency is a district located in Lampung Province, this district has an area of 2,855.46 km 2 . Tanggamus Regency also has a variety of tourism that can be explored. However, there are still many ordinary people who do not know clear information about these tourist objects. Therefore, it is necessary to have an information system that can help the community in finding information about the tourist objects they want to visit, especially in the Tanggamus Regency area. In this study, two data collection methods were used, namely observation and literature. In addition, the design model used in this study is the waterfall method which consists of requirements, design, implementation, verification and maintenance. This research will produce a tourism recommendation mobile application interface in Tanggamus Regency, which in making the interface design uses figma. In the interface, the sections that are displayed include the initial display, the login display, the registration display, and the appearance of a tourist attraction.

Keywords


Tourism, Tanggamus Regency, Mobile Application, Figma

References


MT Rahmawita and D. Iriadi, "Application of Android-Based Tourist Attractions in Pekanbaru City," J. Ilm. Engineering and Management. Sist. inf. , vol. 7, no. 1, pp. 1–10, 2021, [Online]. Available: http://ejournal.uin-suska.ac.id/index.php/RMSI/article/view/10264.

wikipedia, "Tanggamus Regency," https://en.wikipedia.org/wiki/Kabupaten_Tanggamus , 2018. .

merdeka.com, “pariwisata,” https://www.merdeka.com/jabar/mengenal-pengertian-pariwisata-menurut-para-ahli-berikut-penuntungannya-kln.html , 2021. .

Muhamad Muslihudin Yusuf Setiawan, "Information system of the Tanggamus District Fisheries Service based on mobile web," J. Teknol. computer. and Sist. inf. , vol. vol 2, pp. 21–26, 2019.

Student.activity.binus.ac.id, “figma,” https://student-activity.binus.ac.id/himka/2021/07/07/apa-itu-figma/ , 2021. .

& J. Albi, A., "Quantitative Research Methodology," J. Ubp Karawang , vol. 3, p. 1, 2020.

D. Irawan, Y. Rahsel, and T. Udin, "B2C-Based Electronic Commerce Design at Atk Sindoro Stores," J. TAM (Technol. Accept. Model) , vol. 8, no. 1, pp. 58–62, 2017.

[ 8 ] Ivan Christian Lawolo, Andy Paul Harianja, "Application of Recommendations for Tourist Attractions on Nias Island with the Android-Based Dijkstra Algorithm", Journal of Informatics Engineering, Unika St. Thomas (JTIUST), Volume 02 Number 01, June 2017.

[ 9 ] Muhammad Busyro, Wiwi Verina, "Designing Culinary Tourism Applications Using Collaborative Filtering Algorithms and Android - Based Growth Algorithms", FTIK Journal, Vol. 1 No. 1,pp. 941-954, 2019.

[ 10 ] Rama Putra, Afdhil Hafid, Edo Arribe, Harun Mukhtar, "Design of Android-Based Accommodation and Tourism Information Application Recommendations in Pekanbaru City", Fasilkom Journal, Volume 9 No. 3, pp. 41 – 46 November 2019.

[ 11 ] Wira Shilviana Hanum, Aries Saifudin, "Design of Tourism Guide Applications in Banyuwangi Mobile Based on Android", Journal of Information System Technology and Applications, Vol. 2, No. 2, pp. 59-65, April 2019.

Medyantiwi Rahmawita Munzir, Desfah Iriadi , " Application of Android-Based Tourist Attractions in Pekanbaru City ", Scientific Journal of Information System Engineering and Management, Vol. 7, No. 1, p. 1-10, February 2021 .

Ivan Christian Lawolo, Andy Paul Harianja . " Application of Recommended Tourist Attractions on Nias Island Using Dijkstra's Android-Based Algorithm ", Journal of Informatics Engineering, Unika St. Thomas (JTIUST), Volume 02 Number 01, June 2017.

kompas.com "observation" https://www.kompas.com/skola/read/2021/08/03/164904169/observasi-pengertian-para-ahli-purpose-ciri-ciri-dan-tipenya?page = all , 2020.

kbbi, "implementation", kbbi.web.id/implementasi,2021.


Full Text: PDF PDF

Article Metrics

Abstract View : 132 times
PDF Download : 14 times PDF Download : 13 times

DOI: 10.56327/ijairtec.v2i1.59

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 International Journal of Artificial Intelligence and Robotic Technology