Analisa Kinerja IDSL/PUMMA untuk Peringatan Dini Tsunami di Pangandaran

Husrin, Semeidi; Novianto, Dian; Bramawanto, Rikha; Setiawan, Agus; Nugroho, Dwiyoga; Permana, Sofiyan Muji; Sufyan, Agus; Sarnanda, Sarnanda; Sianturi, Daud S.A.; Mulyadi, Usep; Daniel, Donal; Suhelmi, Ifan Ridlo; Purnama, Muchammad S.B.

doi:10.15578/jkn.v16i2.9846

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…Larger values on latency time will influence the numbers of missing data as already discussed in the previous sub section (data gaps). Based on the analyses of latency time for IDSL in Pangandaran with a stable communication network, the IDSL's latency time under 30 seconds reached 99% [14]. This means, IDSL with a stable communication network has reached a near real-time performance.…”

Section: Latency Timementioning

confidence: 93%

IDSL for Tsunami Early Warning System in Indonesia

Husrin

Annunziato

Prasetya

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The Inexpensive Device for Sea Level measurement (IDSL) has been implemented for tsunami monitoring and early warning in the Mediterranean regions. Following the events of 2018 Palu and the Sunda Strait Tsunami, The MMAF, JRC-EC, IATsI, and BMKG worked together and installed eight (8) units of IDSL in Indonesia starting from January 2019. This paper discusses the concept of IDSL, the installation and the operation in the last 18 months and its potential use as tsunami early warning system in Indonesia. We concluded that IDSL and other similar systems could strengthen the existing TEWS in Indonesia considering its reliability in delivering the alerts in real-time with the characteristics of short distance tsunami and the presence of small islands, low costs in installation and maintenance that may guarantee the sustainability of the system.

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Section: Latency Timementioning

confidence: 93%

IDSL for Tsunami Early Warning System in Indonesia

Husrin

Annunziato

Prasetya

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…It is a low-cost sea-level measuring system that provides several sensors to record the sea-level data and occurrences of anomalies. The PUMMA system is prepared for supporting and being integrated with the InaTEWS [4]. The sea-level rise, which can risk people residing along coastal and lowland, is a fundamental geophysical parameter pertinent to many Earth science subfields, including oceanography, geodesy, and climatology [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Sea Level from the PUMMA System Using SARIMA

Irfan Asfy Fakhry Anto,

Oka Mahendra,

Purnomo Husnul Khotimah

et al. 2023

JNTETI

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The rising sea levels can threaten millions of people residing along the coast or lowlands. The risk can be mitigated by the sea-level prediction done by collecting information on the likelihood of rising sea levels. The Ministry of Marine Affairs and Fisheries of Indonesia has developed Perangkat Ukur Murah untuk Muka Air Laut (Inexpensive Device for Sea Level Measurement, PUMMA) to measure sea levels. PUMMA is located in remote monitoring stations based on Indonesian maritime area. The PUMMA system currently lacks a prediction feature. This objective of this study is to model the sea-level prediction using the dataset for one year, from July 2021 until July 2022. The seasonal autoregressive integrated moving average (SARIMA) method was used because SARIMA proved to be a flexible and versatile method for a dataset having noncomplex nature and seasonal patterns. This study has developed several models of the SARIMA. The model performance was evaluated using the mean absolute percentage error (MAPE), R-squared, mean square error (MSE), and root mean square error (RMSE) metrics. The SARIMA(1, 1, 0)(1, 1, 1)12 model achieved the lowest prediction error with an R-squared of 0.508, MSE of 0.0479, and RMSE of 0.069. Based on the performance, SARIMA(1, 1, 0)(1, 1, 1)12 model is feasible for predicting sea levels using the PUMMA dataset.

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“…Locations with frequent occurrences of the tsunami are southern Sumatra, southern Java, and the waters of Maluku and Halmahera. Several systems have been initiated based on sudden sea-level changes in the West Sumatra, Aceh, Pangandaran, and Sunda Straits, such as the Inexpensive Device for Sea Level (IDSL) monitoring (Husrin et al, 2021). In addition to disaster mitigation, evacuation routes in the prone areas do not exist, and in some cases, it does not show the proper and safe evacuation routes.…”

Section: Introductionmentioning

confidence: 99%

Tsunami Evacuation Model in the Panimbang Subdistrict, Banten Province, Indonesia: Gis- And Agent-Based Modeling

PURBANI,

MARZUKI,

ONTOWIRJO

et al. 2023

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This study examines the agent behavior during a complex tsunami process to reach designated shelters based on the agent-based modeling approach. A GIS-based tsunami inundation modeling is employed considering the land slope and surface roughness coefficient to estimate the tsunami height loss. This model becomes the basis for determining the service area within the study site. Five shelter candidates are assessed using agent-based modeling simulated in the NetLogo, implementing the 50 minutes ETA and 9 meters tsunami run-up propagation for four population age classifications. Overall, the Panimbang coastal area is categorized as a high vulnerability to tsunamis (14.68% of the total area), where the run-up propagation is extended due to the tsunami invading rivers, thereby increasing the risk toward local society. Of particular concern, two proposed shelters (SA1 and SA5) exceed the capacity by 12.43% and 59.44% of their maximum capacity, respectively. Of 9,640 agents (people) simulated, 77.7% are evacuated, and 22.3% fail to reach the shelters, with a majority of the adult category. A sufficiently high casualty number is due to a "bottleneck" in the overlapping service areas. However, reconsidering the overcapacity TES with some additional shelters in the surrounding area is recommended.

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Analisa Kinerja IDSL/PUMMA untuk Peringatan Dini Tsunami di Pangandaran

Cited by 5 publications

References 8 publications

IDSL for Tsunami Early Warning System in Indonesia

IDSL for Tsunami Early Warning System in Indonesia

Prediction of the Sea Level from the PUMMA System Using SARIMA

Tsunami Evacuation Model in the Panimbang Subdistrict, Banten Province, Indonesia: Gis- And Agent-Based Modeling

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