Data-Driven Insights for Tourism Development in East Java Using Directed Graphs
DOI:
https://doi.org/10.38114/reimann.v7i1.97Keywords:
Network Analysis, Tourism, Directed Graph, Google Trends, QGIS, NetworkXAbstract
This study aims to analyze the tourism network in East Java using Google Trends data and directed graph models. Data were collected based on search queries combining the keyword "wisata" (tourism) with city or regency names in East Java for the year 2023. The analysis employed the PageRank algorithm to identify key network hubs and the Adamic-Adar index to predict new connections between regions. Spatial visualization was conducted using QGIS, while network analysis was carried out using NetworkX. The results revealed that Malang and Surabaya act as central hubs in the tourism network, with high connectivity to other regions. Meanwhile, regions such as Pacitan were identified as isolated nodes within the network. Based on these findings, the study recommends strategies to enhance inter-regional connectivity, including infrastructure development and integrated tourism promotion. This study provides data-driven insights that can assist tourism authorities in improving the attractiveness and sustainability of the tourism sector in East Java.
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References
Adamic, L. A., & Adar, E. (2003). Friends and neighbors on the Web. Social Networks, 25(3), 211–230. https://doi.org/10.1016/S0378-8733(03)00009-1
Aji, R. R., Pramono, R. W. D., & Rahmi, D. H. (2018). Kontribusi Sektor Pariwisata Terhadap Ekonomi Wilayah di Provinsi Jawa Timur. Jurnal Planoearth, 3(2), 57–62. https://doi.org/10.31764/jpe.v3i2.600
BPS Provinsi Jawa Timur. (2025). Jumlah Perjalanan Wisatawan Nusantara Menurut Kabupaten/Kota Tujuan di Jawa Timur(Perjalanan), 2024 [Dataset]. https://jatim.bps.go.id/id/statistics-table/2/NjIzIzI=/jumlah-perjalanan-wisatawan-nusantara-menurut-kabupaten-kota-tujuan-di-jawa-timur-perjalanan-.html
Diestel, R. (2017). Graph Theory (Vol. 173). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-53622-3
Eka Andri Kurniawan. (2018). The Role of the Tourism Sector on the Economy of East Java: Input-Output Analysis. East Java Economic Journal, 2(1), 75–94. https://doi.org/10.53572/ejavec.v2i1.15
Eka Rimawati. (2024, May 7). Bupati Banyuwangi Terima Penghargaan Pembangunan Daerah dari Presiden Jokowi Baca artikel detikjatim, "Bupati Banyuwangi Terima Penghargaan Pembangunan Daerah dari Presiden Jokowi. detik.com. https://www.detik.com/jatim/berita/d-7328976/bupati-banyuwangi-terima-penghargaan-pembangunan-daerah-dari-presiden-jokowi
Feng, Y., Li, G., Sun, X., & Li, J. (2019). Forecasting the number of inbound tourists with Google Trends. Procedia Computer Science, 162, 628–633. https://doi.org/10.1016/j.procs.2019.12.032
Galih Pradananta & Bintis Ti’anatud Diniati. (2023). Jaringan saraf tiruan sebagai alternatif analisis regresi linier berganda. Biru Atma Jaya. https://penerbitbiruatmajaya.com/produk/jaringan-saraf-tiruan-sebagai-alternatif-analisis-regresi-linier-berganda/
Girvan, M., & Newman, M. E. J. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12), 7821–7826. https://doi.org/10.1073/pnas.122653799
Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008). Exploring Network Structure, Dynamics, and Function using NetworkX. 11–15. https://doi.org/10.25080/TCWV9851
Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31(1), 7–15. https://doi.org/10.1016/0020-0190(89)90102-6
Kumala, M., Soelistiyo, A., & Nuraini, I. (2017). Analisis Potensi Sektor Pariwisata sebagai Sektor Unggulan di Wilayah Jawa Timur. Jurnal Ilmu Ekonomi JIE, 1(4), Article 4. https://doi.org/10.22219/jie.v1i4.6285
Li, X., & Law, R. (2020). Network analysis of big data research in tourism. Tourism Management Perspectives, 33, 100608. https://doi.org/10.1016/j.tmp.2019.100608
Mariyono, J. (2017). Determinants of Demand for Foreign Tourism in Indonesia. Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 18(1), 82. https://doi.org/10.23917/jep.v18i1.2042
Murniati, M. (2023). Strategy Pengembangan Pariwisata Kabupaten Malang dengan Pendekatan GIS dan Photo Mapping. Economics and Digital Business Review, 4(1), Article 1. https://doi.org/10.37531/ecotal.v4i1.368
Murniati, M., Maski, G., Noor, I., & Ekawaty, M. (2021). Identification of Tourism Potential and Investment Strategy- A Case Study of Banyuwangi Regency. Studies of Applied Economics, 39(12). https://doi.org/10.25115/eea.v39i12.6003
Murniati, Maski, G., Noor, I., & Ekawaty, M. (2024). The Determinant of Demand and Supply to Increase Tourism Visit Sustainably by Using Principal Component Regression Analysis. Journal of Law and Sustainable Development, 12(1), e3261. https://doi.org/10.55908/sdgs.v12i1.3261
Önder, I. (2017). Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities. International Journal of Tourism Research, 19(6), 648–660. https://doi.org/10.1002/jtr.2137
Prastya, D. E., Nurmandi, A., & Salahudin. (2022). Analysis of Website Quality and City Government’s Twitter Accounts in East Java Province, Indonesia: (Case Study: Surabaya, Malang, Mojokerto, Pasuruan and Probolinggo). In X.-S. Yang, S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of Sixth International Congress on Information and Communication Technology (Vol. 216, pp. 113–126). Springer Singapore. https://doi.org/10.1007/978-981-16-1781-2_12
QGIS Development Team. (2023). QGIS Geographic Information System [Computer software]. Open Source Geospatial Foundation. https://qgis.org/
Rasool, H., Maqbool, S., & Tarique, Md. (2021). The relationship between tourism and economic growth among BRICS countries: A panel cointegration analysis. Future Business Journal, 7(1), 1. https://doi.org/10.1186/s43093-020-00048-3
Tarjan, R. (1972). Depth-First Search and Linear Graph Algorithms. SIAM Journal on Computing, 1(2), 146–160. https://doi.org/10.1137/0201010
Triyasni. (2022, December 30). Pemprov Jatim Targetkan 238,8 Juta Kunjungan Wisata pada 2023. Liputan6.Com. https://www.liputan6.com/surabaya/read/5167774/pemprov-jatim-targetkan-2388-juta-kunjungan-wisata-pada-2023?page=2
Tus Saidah, A., Puji Handayati, & Satia Nur Maharani. (2023). Management of Historic Assets in the Perspective of Good Corporate Governance. International Journal Of Humanities Education and Social Sciences (IJHESS), 3(1). https://doi.org/10.55227/ijhess.v3i1.432
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