Rapid Visual Screening of Building for Potential Ground Movement in Kalirejo, Kulonprogo, Yogyakarta

Sari, Sely Novita; Prastowo, Rizqi; Junaidi, Rahmad; Machmud, Amir

doi:10.24042/jipfalbiruni.v9i1.5190

Cited by 5 publications

(6 citation statements)

References 12 publications

(12 reference statements)

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“…FEMA's fundamental building assessment (standard wall) (Federal Emergency Management Agency). After completion of the RVS form, each building's final score is determined in line with FEMA 154-2002 [23] [24].…”

Section: A Rapid Visual Screening (Rvs)mentioning

confidence: 99%

Soft Set Parametric-based Data Clustering for Building Data Set

Yanto¹,

Azhari²,

Saedudin³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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Identifying buildings for safety purposes is critical to anticipate unforeseen scenarios during a disaster. Rapid Visual Screening (RVS) is one of the procedures that can be used to determine a building's hazardous structure. The growing number of buildings necessitates grouping to provide recommendations for improving the analysis or conducting a more extensive review of the same building group. This article investigates the application of fuzzy clustering to the RVS dataset. Numerous strategies are compared, including fuzzy centroid clustering, fuzzy K-partition clustering, and multi-soft set clustering. The technique is applied to the RVS data set from Kulon Progo, Yogyakarta, which has 144 cases for grouping construction. Four clusters are formed from four distinct variables with fewer conditions: Plan Drawing, Floor Plan, Connection, and Stance. The experiment is based on the rank index, the Dunn index, and response time. The results indicate that multi-soft set-based clustering outperforms other baseline approaches. The investigator or government can utilize this information to suggest treating each cluster's "less" variable.

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Section: A Rapid Visual Screening (Rvs)mentioning

confidence: 99%

Soft Set Parametric-based Data Clustering for Building Data Set

Yanto¹,

Azhari²,

Saedudin³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…One of the functions of Rapid Visual Screening (RVS) in this simple building typical of this wall to evaluate the mitigation of earthquake disaster structures, evaluation of earthquake disaster mitigation structures on Doom Island is intended to observe directly whether the houses of residents have met the provisions for earthquake resistant houses (Bawoleh et al, 2019). From this evaluation it can be known that almost all buildings on Doom Island have not met the requirements specified in the technical requirements of earthquake-resistant buildings, so in the event of a disaster the possibility of damage to the building becomes greater (Sari, 2020). From the explanation above, one of the mitigations of pre-disaster is to conduct a simple building assessment, so it takes a classification of simple buildings typical of wall in kalirejo area, Kokap subdistrict, Kulon Progo, Yogyakarta regency using fuzzy logic.…”

Section: Introductionmentioning

confidence: 99%

Fast Building Identification Using Fuzzy Soft Set Based on Rapid Visual Building (RVS)

Sari¹,

Prastowo²,

Yanto³

et al. 2022

IJHES

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Building damage can be caused by disasters such as earthquakes, landslides, etc. To minimize the fatality, the identification of buildings is needed to know the condition of buildings and whether the construction of buildings is able to endure if the disasters happen. This research uses the Rapid Visual Building (RVS) method to identify the building condition. The data are collected from Kalirejo, Kulon Progo. The survey is conducted by taking a simple building evaluation form (typical of the walls ) based on RVS data. The field assessment results are distinguished into several factors that affect the condition of typical building walls: the foundations, structures, walls, and roofs of the 11 categories on the assessment form. From the data obtained, it is used to classify the building condition using Fuzzy Soft Set. The results show that the classification has been made with good performance in terms of accuracy, precision and time response. The accuracy and recall are close to 100% with above 50% of prevision average and time response is quite 0.0051 second. Thus, it can be used to predict the condition of buildings accurately.

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“…Evaluation of structure performance using FEMA and pushover analysis [12]. RVS can also be applied to detect potential ground movement [13]. RVS which investigates vulnerability due to earthquakes using smartphones has also been developed [14].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Building Vulnerability to Earthquake Using Rapid Visual Screening (RVS) Method

Pratama

Soetjipto

Krisnamurti

2021

JTSP

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Indonesia is one of the countries prone to earthquakes. One of the earthquake disasters that occurred several years ago hit Palu and Donggala on September 28, 2018. It caused severe damage to infrastructure. Therefore, it is necessary to evaluate buildings vulnerable to earthquakes as a form of prevention. One of the buildings in Jember, the dr. Soebandi hospital, experienced cracks in the walls during an earthquake measuring 6.0 on the Richter scale in Nusa Dua Bali on July 16, 2019. This study carried out the risk assessment of the vulnerability of buildings to earthquakes using the Rapid Visual Screening (RVS) method from FEMA P-154. RVS is a method to identify a building that is potentially vulnerable to earthquake hazards based on visual observations from the exterior and interior of the building. The results of the evaluation using the RVS method showed that the dr. Soebandi hospital is categorized as safe and not prone to earthquakes, with a potential vulnerability percentage of 0.0126%. Based on these results, the building does not require special treatment to anticipate earthquakes; however, maintaining the occupants' safety and extending the building's life requires routine maintenance.

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Rapid Visual Screening of Building for Potential Ground Movement in Kalirejo, Kulonprogo, Yogyakarta

Cited by 5 publications

References 12 publications

Soft Set Parametric-based Data Clustering for Building Data Set

Soft Set Parametric-based Data Clustering for Building Data Set

Fast Building Identification Using Fuzzy Soft Set Based on Rapid Visual Building (RVS)

Evaluation of Building Vulnerability to Earthquake Using Rapid Visual Screening (RVS) Method

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