Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)

Fitria Wahyuni; Zakiatul Wildani; Ragil Purnamasari

doi:10.1007/978-981-97-0751-5_51

Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)

Fitria Wahyuni^*, Zakiatul Wildani, Ragil Purnamasari

^*Corresponding author for this work

Universiti Teknologi MARA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The development of Surabaya city can be seen from the many developments in the town. Many soil investigation tests have been carried out with the many products that have been and will be carried out in Surabaya. One of the soil investigation tests is the Sondir test, the CPT (cone penetration test). CPT is a soil investigation method that is quite affordable and easy to do, which produces parameters in the form of soil consistency at each soil depth. Based on soil data from 2017 to 2021, CPT data is spread across various areas in Surabaya. Thus, this research aims to find predictions of soil consistency in the Surabaya area from existing soil data using the ANN (artificial neural network) and multinomial logistic regression methods. From this study, it was found that from 3196 scattered soil data, it showed that the coefficient of determination (R²) was 98.44%. This means that the proportion of the variability of Depth (m), Qonus value (qu), and Area can explain the consistency of the soil and is an excellent model.

Original language	English
Title of host publication	Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023
Editors	Elham Maghsoudi Nia, Mokhtar Awang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	573-584
Number of pages	12
ISBN (Print)	9789819707508
DOIs	https://doi.org/10.1007/978-981-97-0751-5_51
Publication status	Published - 2024
Event	7th International Conference on Architecture and Civil Engineering, ICACE 2023 - Putrajaya, Malaysia Duration: 15 Nov 2023 → 15 Nov 2023

Publication series

Name	Lecture Notes in Civil Engineering
Volume	466
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	7th International Conference on Architecture and Civil Engineering, ICACE 2023
Country/Territory	Malaysia
City	Putrajaya
Period	15/11/23 → 15/11/23

Keywords

Artificial neural network (ANN)
Cone penetration test (CPT)
Consistency
Regression
Surabaya soil

Access to Document

10.1007/978-981-97-0751-5_51

Cite this

Wahyuni, F., Wildani, Z., & Purnamasari, R. (2024). Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region). In E. M. Nia, & M. Awang (Eds.), Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023 (pp. 573-584). (Lecture Notes in Civil Engineering; Vol. 466). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-0751-5_51

Wahyuni, Fitria ; Wildani, Zakiatul ; Purnamasari, Ragil. / Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region). Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023. editor / Elham Maghsoudi Nia ; Mokhtar Awang. Springer Science and Business Media Deutschland GmbH, 2024. pp. 573-584 (Lecture Notes in Civil Engineering).

@inproceedings{afe6a03510e249988d2a1e41679baef3,

title = "Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)",

abstract = "The development of Surabaya city can be seen from the many developments in the town. Many soil investigation tests have been carried out with the many products that have been and will be carried out in Surabaya. One of the soil investigation tests is the Sondir test, the CPT (cone penetration test). CPT is a soil investigation method that is quite affordable and easy to do, which produces parameters in the form of soil consistency at each soil depth. Based on soil data from 2017 to 2021, CPT data is spread across various areas in Surabaya. Thus, this research aims to find predictions of soil consistency in the Surabaya area from existing soil data using the ANN (artificial neural network) and multinomial logistic regression methods. From this study, it was found that from 3196 scattered soil data, it showed that the coefficient of determination (R2) was 98.44%. This means that the proportion of the variability of Depth (m), Qonus value (qu), and Area can explain the consistency of the soil and is an excellent model.",

keywords = "Artificial neural network (ANN), Cone penetration test (CPT), Consistency, Regression, Surabaya soil",

author = "Fitria Wahyuni and Zakiatul Wildani and Ragil Purnamasari",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th International Conference on Architecture and Civil Engineering, ICACE 2023 ; Conference date: 15-11-2023 Through 15-11-2023",

year = "2024",

doi = "10.1007/978-981-97-0751-5_51",

language = "English",

isbn = "9789819707508",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "573--584",

editor = "Nia, {Elham Maghsoudi} and Mokhtar Awang",

booktitle = "Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023",

address = "Germany",

}

Wahyuni, F , Wildani, Z & Purnamasari, R 2024, Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region). in EM Nia & M Awang (eds), Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023. Lecture Notes in Civil Engineering, vol. 466, Springer Science and Business Media Deutschland GmbH, pp. 573-584, 7th International Conference on Architecture and Civil Engineering, ICACE 2023, Putrajaya, Malaysia, 15/11/23. https://doi.org/10.1007/978-981-97-0751-5_51

Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region). / Wahyuni, Fitria ; Wildani, Zakiatul ; Purnamasari, Ragil.
Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023. ed. / Elham Maghsoudi Nia; Mokhtar Awang. Springer Science and Business Media Deutschland GmbH, 2024. p. 573-584 (Lecture Notes in Civil Engineering; Vol. 466).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)

AU - Wahyuni, Fitria

AU - Wildani, Zakiatul

AU - Purnamasari, Ragil

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - The development of Surabaya city can be seen from the many developments in the town. Many soil investigation tests have been carried out with the many products that have been and will be carried out in Surabaya. One of the soil investigation tests is the Sondir test, the CPT (cone penetration test). CPT is a soil investigation method that is quite affordable and easy to do, which produces parameters in the form of soil consistency at each soil depth. Based on soil data from 2017 to 2021, CPT data is spread across various areas in Surabaya. Thus, this research aims to find predictions of soil consistency in the Surabaya area from existing soil data using the ANN (artificial neural network) and multinomial logistic regression methods. From this study, it was found that from 3196 scattered soil data, it showed that the coefficient of determination (R2) was 98.44%. This means that the proportion of the variability of Depth (m), Qonus value (qu), and Area can explain the consistency of the soil and is an excellent model.

AB - The development of Surabaya city can be seen from the many developments in the town. Many soil investigation tests have been carried out with the many products that have been and will be carried out in Surabaya. One of the soil investigation tests is the Sondir test, the CPT (cone penetration test). CPT is a soil investigation method that is quite affordable and easy to do, which produces parameters in the form of soil consistency at each soil depth. Based on soil data from 2017 to 2021, CPT data is spread across various areas in Surabaya. Thus, this research aims to find predictions of soil consistency in the Surabaya area from existing soil data using the ANN (artificial neural network) and multinomial logistic regression methods. From this study, it was found that from 3196 scattered soil data, it showed that the coefficient of determination (R2) was 98.44%. This means that the proportion of the variability of Depth (m), Qonus value (qu), and Area can explain the consistency of the soil and is an excellent model.

KW - Artificial neural network (ANN)

KW - Cone penetration test (CPT)

KW - Consistency

KW - Regression

KW - Surabaya soil

UR - http://www.scopus.com/inward/record.url?scp=85200354705&partnerID=8YFLogxK

U2 - 10.1007/978-981-97-0751-5_51

DO - 10.1007/978-981-97-0751-5_51

M3 - Conference contribution

AN - SCOPUS:85200354705

SN - 9789819707508

T3 - Lecture Notes in Civil Engineering

SP - 573

EP - 584

BT - Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023

A2 - Nia, Elham Maghsoudi

A2 - Awang, Mokhtar

PB - Springer Science and Business Media Deutschland GmbH

T2 - 7th International Conference on Architecture and Civil Engineering, ICACE 2023

Y2 - 15 November 2023 through 15 November 2023

ER -

Wahyuni F , Wildani Z , Purnamasari R. Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region). In Nia EM, Awang M, editors, Advances in Civil Engineering Materials - Selected Articles from the 7th International Conference on Architecture and Civil Engineering ICACE 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 573-584. (Lecture Notes in Civil Engineering). doi: 10.1007/978-981-97-0751-5_51

Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this