Optimizing Tourism Development Through Landslide Hazard Mapping in Raung Volcano

Syamsul Bachri, Rajendra Prasad Shrestha, Sumarmi Sumarmi, Furqan Ishak Aksa, Mellinia Regina Prastiwi, Nanda Regita Putri, Egi Nursari Billah, A.Riyan Rahman Hakiki, Tabita May Hidiyah

Abstract


The series of volcanic activities of Mount Raung triggered primary and secondary hazards in the area around the volcano. Kalibaru watershed is one of the areas prone to landslides due to secondary hazards of eruption activity in the direction of west and northwest part of this region. This study aims to optimize tourism by mapping landslide hazard using Spatial Multi-Criteria Evaluation (SMCE) around Mount Raung. This research used 46 points of landslide data through remote sensing, field observation. Ten landslide triggering factors, namely TPI (Topographic Position Index), TWI (Topographic Wetness Index), SPI (Stream Power Index), slope, distance to river, rainfall, geology, land use, distance to road, and soil type was used to map the landslide hazard. This study used ROC (Receiver Operating Characteristic) analysis to validate the landslide susceptibility mapping with an AUC (Area Under Curve) value of 0.93, which indicates that the mapping has a high accuracy value. The results showed that the landslide susceptibility is divided into three classes: high susceptible, moderate susceptible, and low susceptible. The high susceptible area covers 151.62 km2 (21%), the moderate susceptible area covers 407.99 km2 (56%), and the low susceptible area covers 166.79 km2 (23%). Based on the results of the mapping, tourism development in the area of Mount Raung is recommended in areas that are classified as medium and low landslide susceptibility.

Keywords: Mount Raung, Landslides, SMCE, Tourism Development


Full Text:

pdf

References


Ady, A., Nurrahmah, N., Sari, E. K., & Rif’an, A. A. (2019). Strategi Pengembangan Kawasan Wisata Tanjung Lesung Sebagai Destinasi Prioritas yang Rawan Bencana. Altasia Jurnal Pariwisata Indonesia, 2(1). https://doi.org/10.37253/altasia.v2i1.540

AM, M. L. (2022). Sistem dan Evolusi Magma Gunung Api Raung, Kabupaten Jember, Bondowoso, dan Banyuwangi, Jawa Timur. Universitas Gadjah Mada.

Apriyeni, B. A. R., Mubarokah, N., & Ramli, M. (2022). Topographic Position Indeks Analisys untuk Interpretasi Landform Pulau Lombok Berdasarkan Digital Elevation Model (DEM). Geodika: Jurnal Kajian Ilmu Dan Pendidikan Geografi, 6(2), 264–273. https://doi.org/10.29408/geodika.v6i2.7031

Araujo, D. De. (2019). Zonasi Area Karst Desa Betikharjo , Kecamatan Semanding , Kabupaten. PROSIDING, Seminar Teknologi Kebumian Dan Kelautan I.

Arsyad, U., Barkey, R. A., Wahyuni, W., & Matandung, K. K. (2018). Characteristics of Landslides in the Tangka River Basin. Jurnal Hutan Dan Masyarakat, 10(1), 203–214. https://doi.org/10.24259/jhm.v0i0.3978

Azizah, V., Listyo, D., & Irawan, Y. (2023). Deteksi Perubahan Jalur Lahar di Curah Lengkong Pasca Erupsi Gunungapi Semeru 2021 Menggunakan Google Earth Engine. 7(1), 70–93. https://doi.org/10.22236/jgel.v7i1.10321

Baboli Moakher, H., Taghian, A., & Shirani, K. (2018). Application of Morphometric Indices in Optimization of Landslide Susceptibility Zonation Using Probabilistic Methods. Physical Geography Research Quarterly, 50(4), 747–773.

Bachri, S., & Shresta, R. P. (2010). Landslide hazard assessment using analytic hierarchy processing (AHP) and geographic information system in Kaligesing mountain area of Central Java Province Indonesia.

Bachri, S., Sumarmi, Yudha Irawan, L., Utaya, S., Dwitri Nurdiansyah, F., Erfika Nurjanah, A., Wahyu Ning Tyas, L., Amri Adillah, A., & Setia Purnama, D. (2019). Landslide Susceptibility Mapping (LSM) in Kelud Volcano Using Spatial Multi-Criteria Evaluation. IOP Conference Series: Earth and Environmental Science, 273(1). https://doi.org/10.1088/1755-1315/273/1/012014

Dewi, I. K., Fauzi, R., & Syahbandar, M. Y. (2022). Threat of landslides hazard at the core zone of Cultural Conservation Strategic Area of Gunung Padang megalithic site, in Cianjur District. Indonesian Journal of Applied Environmental Studies, 3(2), 105–110. https://doi.org/10.33751/injast.v3i2.5622. https://doi.org/10.33751/injast.v3i2.5622

Dibyosaputro, S. (1997). Geomorfologi Dasar (Handout). Fakultas Geografi. Universitas Gajah Mada. Yogyakarta.

Febriyanti, R. F., & Anjasmara, I. M. (2017). Analisis Deformasi Gunung Raung Menggunakan Teknologi Differential Interferometry Synthetic Aperture Radar (DInSAR). Jurnal Teknik ITS, 6(2). https://doi.org/10.12962/j23373539.v6i2.25018

Gudiyangada, T., Kienberger, S., Meena, S., Hölbling, D., & Blaschke, T. (2020). Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping. Geomatics, Natural Hazards and Risk, 11, 572–600. https://doi.org/10.1080/19475705.2020.1736190

Guo, X., Fu, B., Du, J., Shi, P., Chen, Q., & Zhang, W. (2021). Applicability of susceptibility model for rock and loess earthquake landslides in the eastern tibetan plateau. Remote Sensing, 13(13), 1–19. https://doi.org/10.3390/rs13132546

Hemasinghe, H., Rangali, R. S. S., Deshapriya, N. L., & Samarakoon, L. (2018). Landslide susceptibility mapping using logistic regression model (a case study in Badulla District, Sri Lanka). Procedia Engineering, 212, 1046–1053. https://doi.org/10.1016/j.proeng.2018.01.135

Irawan, L. Y. (2020). Identifikasi Bahaya Longsor Lahan di Sebagian Wilayah Poncokusumo dan Wajak Kabupaten Malang. Geodika: Jurnal Kajian Ilmu Dan Pendidikan Geografi, 4(2), 160–171. https://doi.org/10.29408/geodika.v4i2.2474

Irawan, L. Y., Sumarmi, Bachri, S., Panoto, D., Nabila, Pradana, I. H., Faizal, R., Devy, M. M. R., & Prasetyo, W. E. (2021). The Use of Machine Learning for Accessing Landslide Susceptibility Class: Study Case of Kecamatan Pacet, Kabupaten Mojokerto. IOP Conference Series: Earth and Environmental Science, 884(1). https://doi.org/10.1088/1755-1315/884/1/012006

Irawan, L. Y., Sumarmi, Bachri, S., Panoto, D., Pradana, I. H., & Faizal, R. (2021). Landslides susceptibility mapping based on geospatial data and geomorphic attributes (a case study: Pacet, Mojokerto, East Java). IOP Conference Series: Earth and Environmental Science, 747(1). https://doi.org/10.1088/1755-1315/747/1/012002

Irawan, L. Y., Syafi’i, I. R., Rosyadi, I., Siswanto, Y., Munawaroh, A., Wardhani, A. K., & Saifanto, B. A. (2020). Analisis potensi rawan bencana tanah longsor di Kecamatan Jabung, Kabupaten Malang. Jurnal Pendidikan Geografi, 25(2), 102–113. https://doi.org/10.17977/um017v25i22020p102

Kassouk, Z., Thouret, J.-C., Gupta, A., Solikhin, A., & Liew, S. C. (2014). Object-oriented classification of a high-spatial resolution SPOT5 image for mapping geology and landforms of active volcanoes: Semeru case study, Indonesia. Geomorphology, 221, 18–33. https://doi.org/10.1016/j.geomorph.2014.04.022

Kocher, S. D., & John, W. L. (2006). Why is my forest the way it is: Soil erosion. Univ. of California Cooperative Extention. California.

Larasati, F., Suci Richasari, D., & Mu, A. (2021). Pemodelan Regresi Double Log dan Semi Log Untuk Nilai Tanah di Daerah Rawan Tanah Longsor (Studi Kasus: Kecamatan Songgon, Kabupaten Banyuwangi). Prosiding FIT ISI, 1, 145–152. https://proceedings.undip.ac.id/index.php/isiundip2021/article/view/633

Ling, S., Zhao, S., Huang, J., & Zhang, X. (2022). Landslide susceptibility assessment using statistical and machine learning techniques: A case study in the upper reaches of the Minjiang River, southwestern China. Frontiers in Earth Science, 10(August), 1–18. https://doi.org/10.3389/feart.2022.986172

Mahendradevi, T. I. P., Darma Putra, I. N., & Sunarta, I. N. (2022). Potensi dan Pengembangan Daya Tarik Kawasan Wisata di Daerah Rawan Bencana Gunung Agung, Kabupaten Karangasem, Bali. Jurnal Master Pariwisata (JUMPA). https://doi.org/10.24843/jumpa.2022.v09.i01.p11

Okoli, J., Nahazanan, H., Nahas, F., Kalantar, B., Shafri, H. Z. M., & Khuzaimah, Z. (2023). High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia. Geosciences (Switzerland), 13(2). https://doi.org/10.3390/geosciences13020034

Oktaviani, N., Ristya, Y., Fadhil, M., & Kusratmoko, E. (2020). Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi. E3S Web Conf., 153. https://doi.org/10.1051/e3sconf/202015302007

Pamela, Yukni, A., Imam, S. A., & Kartiko, R. D. (2018). The selective causative factors on landslide susceptibility assessment: Case study Takengon, Aceh, Indonesia. AIP Conference Proceedings, 1987(July 2018). https://doi.org/10.1063/1.5047374

Permanajati, I., Suranda, A. H., & Zaenurrohman, J. A. (2023). Assessment of Landslide Susceptibility in the Pagentan Area , Banjarnegara Regency : A Spatial Multi-Criteria Evaluation Approach. 33(1), 17–35. https://doi.org/10.55981/risetgeotam.2023.1229

Pourghasemi, H. R., Kariminejad, N., Gayen, A., & Komac, M. (2020). Statistical functions used for spatial modelling due to assessment of landslide distribution and landscape-interaction factors in Iran. Geoscience Frontiers, 11(4), 1257–1269. https://doi.org/10.1016/j.gsf.2019.11.005

Pradhan, A. M. S., Kang, H.-S., Lee, J.-S., & Kim, Y.-T. (2019). An ensemble landslide hazard model incorporating rainfall threshold for Mt. Umyeon, South Korea. Bulletin of Engineering Geology and the Environment, 78(1), 131–146. https://doi.org/10.1007/s10064-017-1055-y

Prasindya, P., Hariyanto, T., & Kurniawan, A. (2020). Analisis Potensi Tanah Longsor Menggunakan Sistem Informasi Geografis dan Analytical Hierarchy Process (AHP) (Studi Kasus: Kecamatan Songgon, Kabupaten Banyuwangi). Geoid, 16(1), 19. https://doi.org/10.12962/j24423998.v16i1.7973

Priyono. (2015). Hubungan klasifikasi longsor, klasifikasi tanah rawan longsor dan klasifikasi tanah pertanian rawan longsor. Gema, 27(49), 1602–1617.

Rini, Y. M. (2020). Digital Digital Repository Repository Universitas Universitas Jember Jember Digital Digital Repository Repository Universitas Universitas Jember Jember.

Sabila, F. S. N., & Abdurrachman, M. (2020). The Mechanism of Structural Geology Formation at Raung Volcano, East Java. Jurnal Teknologi Sumberdaya Mineral, 1(1), 1–10. https://doi.org/10.19184/jeneral.v1i1.21558

Singh, P., Sharma, A., Sur, U., & Rai, P. K. (2021). Comparative landslide susceptibility assessment using statistical information value and index of entropy model in Bhanupali-Beri region, Himachal Pradesh, India. Environment, Development and Sustainability, 23(4), 5233–5250. https://doi.org/10.1007/s10668-020-00811-0

Wang, Q., Guo, Y., Li, W., He, J., & Wu, Z. (2019). Predictive modeling of landslide hazards in Wen County, northwestern China based on information value, weights-of-evidence, and certainty factor. Geomatics, Natural Hazards and Risk, 10(1), 820–835. https://doi.org/10.1080/19475705.2018.1549111

Wida, W. A., Maas, A., & Sartohadi, J. (2019). Pedogenesis of Mt. Sumbing Volcanic Ash above The Alteration Clay Layer in The Formation of Landslide Susceptible Soils in Bompon Sub-Watershed. Ilmu Pertanian (Agricultural Science), 4(1), 15. https://doi.org/10.22146/ipas.41893

Zhao, Z., Xu, Z., Hu, C., Wang, K., & Ding, X. (2024). Geographically weighted neural network considering spatial heterogeneity for landslide susceptibility mapping: A case study of Yichang City, China. Catena, 234(June 2023), 107590. https://doi.org/10.1016/j.catena.2023.107590

Zulkarnain, M. W. D. (2012). Evaluasi Multi-Kriteria Keruangan untuk Penilaian Risiko Total Tsunami di Pacitan. Universitas Gadjah Mada.




DOI: https://doi.org/10.24114/jg.v16i1.50118

Article Metrics

Abstract view : 273 times
pdf - 107 times

Refbacks

  • There are currently no refbacks.






Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 36/E/KPT/2019

Copyright ©2020 Jurusan Pendidikan Geografi Fakultas Ilmu Sosial Universitas Negeri Medan dan Ikatan Geograf Indonesia (IGI)

Creative Commons License


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.