Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City

Annisa Dira Hariyanto; Adipandang Yudono; Agus Dwi Wicaksono

doi:10.1007/978-981-99-1403-6_33

Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City

Annisa Dira Hariyanto^*
, Adipandang Yudono
, Agus Dwi Wicaksono

^*Corresponding author for this work

Faculty of Engineering

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

Abstract

Kedungkandang District, Malang City, has experienced a rapid increase in population, so within ten years there has been a conversion of non-built land. In line with population development, Kedungkandang District is also experiencing very rapid infrastructure development, so it is indicated that it can encourage greater land conversion. This study tries to develop a spatial model of land cover change in the Kedungkandang District based on Cellular Automata. The researcher uses the Artificial Neural Network (ANN) model, which is a machine learning technique used to model potential future land cover change transitions. The prediction results show that there is a growth of 166,78 hectares of built-up land from 2016 to 2036. The results of this modeling and prediction can be used as a basis for stakeholders in formulating future needs for infrastructure and public facilities, as well as ensuring effective policies to embody a sustainable environment.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation
Editors	Deva Fosterharoldas Swasto, Dwita Hadi Rahmi, Yani Rahmawati, Isti Hidayati, Jimly Al-Faraby, Alyas Widita
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	489-507
Number of pages	19
ISBN (Print)	9789819914029
DOIs	https://doi.org/10.1007/978-981-99-1403-6_33
Publication status	Published - 2023
Event	6th International Conference on Indonesian Architecture and Planning, ICIAP 2022 - Yogyakarta, Indonesia Duration: 13 Oct 2022 → 14 Oct 2022

Publication series

Name	Lecture Notes in Civil Engineering
Volume	334 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	6th International Conference on Indonesian Architecture and Planning, ICIAP 2022
Country/Territory	Indonesia
City	Yogyakarta
Period	13/10/22 → 14/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

Keywords

Artificial neural network
Cellular automata
Land cover change
Modeling
Prediction

Access to Document

10.1007/978-981-99-1403-6_33

Cite this

Hariyanto, A. D., Yudono, A., & Wicaksono, A. D. (2023). Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City. In D. F. Swasto, D. H. Rahmi, Y. Rahmawati, I. Hidayati, J. Al-Faraby, & A. Widita (Eds.), Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation (pp. 489-507). (Lecture Notes in Civil Engineering; Vol. 334 LNCE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1403-6_33

Hariyanto, Annisa Dira ; Yudono, Adipandang ; Wicaksono, Agus Dwi. / Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City. Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation. editor / Deva Fosterharoldas Swasto ; Dwita Hadi Rahmi ; Yani Rahmawati ; Isti Hidayati ; Jimly Al-Faraby ; Alyas Widita. Springer Science and Business Media Deutschland GmbH, 2023. pp. 489-507 (Lecture Notes in Civil Engineering).

@inproceedings{a6eefe60c5694d2faff0dc85e2ceffcd,

title = "Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City",

abstract = "Kedungkandang District, Malang City, has experienced a rapid increase in population, so within ten years there has been a conversion of non-built land. In line with population development, Kedungkandang District is also experiencing very rapid infrastructure development, so it is indicated that it can encourage greater land conversion. This study tries to develop a spatial model of land cover change in the Kedungkandang District based on Cellular Automata. The researcher uses the Artificial Neural Network (ANN) model, which is a machine learning technique used to model potential future land cover change transitions. The prediction results show that there is a growth of 166,78 hectares of built-up land from 2016 to 2036. The results of this modeling and prediction can be used as a basis for stakeholders in formulating future needs for infrastructure and public facilities, as well as ensuring effective policies to embody a sustainable environment.",

keywords = "Artificial neural network, Cellular automata, Land cover change, Modeling, Prediction",

author = "Hariyanto, \{Annisa Dira\} and Adipandang Yudono and Wicaksono, \{Agus Dwi\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 6th International Conference on Indonesian Architecture and Planning, ICIAP 2022 ; Conference date: 13-10-2022 Through 14-10-2022",

year = "2023",

doi = "10.1007/978-981-99-1403-6\_33",

language = "English",

isbn = "9789819914029",

series = "Lecture Notes in Civil Engineering",

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

pages = "489--507",

editor = "Swasto, \{Deva Fosterharoldas\} and Rahmi, \{Dwita Hadi\} and Yani Rahmawati and Isti Hidayati and Jimly Al-Faraby and Alyas Widita",

booktitle = "Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation",

}

Hariyanto, AD, Yudono, A & Wicaksono, AD 2023, Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City. in DF Swasto, DH Rahmi, Y Rahmawati, I Hidayati, J Al-Faraby & A Widita (eds), Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation. Lecture Notes in Civil Engineering, vol. 334 LNCE, Springer Science and Business Media Deutschland GmbH, pp. 489-507, 6th International Conference on Indonesian Architecture and Planning, ICIAP 2022, Yogyakarta, Indonesia, 13/10/22. https://doi.org/10.1007/978-981-99-1403-6_33

Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City. / Hariyanto, Annisa Dira; Yudono, Adipandang ; Wicaksono, Agus Dwi.
Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation. ed. / Deva Fosterharoldas Swasto; Dwita Hadi Rahmi; Yani Rahmawati; Isti Hidayati; Jimly Al-Faraby; Alyas Widita. Springer Science and Business Media Deutschland GmbH, 2023. p. 489-507 (Lecture Notes in Civil Engineering; Vol. 334 LNCE).

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

TY - GEN

T1 - Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City

AU - Hariyanto, Annisa Dira

AU - Yudono, Adipandang

AU - Wicaksono, Agus Dwi

PY - 2023

Y1 - 2023

N2 - Kedungkandang District, Malang City, has experienced a rapid increase in population, so within ten years there has been a conversion of non-built land. In line with population development, Kedungkandang District is also experiencing very rapid infrastructure development, so it is indicated that it can encourage greater land conversion. This study tries to develop a spatial model of land cover change in the Kedungkandang District based on Cellular Automata. The researcher uses the Artificial Neural Network (ANN) model, which is a machine learning technique used to model potential future land cover change transitions. The prediction results show that there is a growth of 166,78 hectares of built-up land from 2016 to 2036. The results of this modeling and prediction can be used as a basis for stakeholders in formulating future needs for infrastructure and public facilities, as well as ensuring effective policies to embody a sustainable environment.

AB - Kedungkandang District, Malang City, has experienced a rapid increase in population, so within ten years there has been a conversion of non-built land. In line with population development, Kedungkandang District is also experiencing very rapid infrastructure development, so it is indicated that it can encourage greater land conversion. This study tries to develop a spatial model of land cover change in the Kedungkandang District based on Cellular Automata. The researcher uses the Artificial Neural Network (ANN) model, which is a machine learning technique used to model potential future land cover change transitions. The prediction results show that there is a growth of 166,78 hectares of built-up land from 2016 to 2036. The results of this modeling and prediction can be used as a basis for stakeholders in formulating future needs for infrastructure and public facilities, as well as ensuring effective policies to embody a sustainable environment.

KW - Artificial neural network

KW - Cellular automata

KW - Land cover change

KW - Modeling

KW - Prediction

UR - https://www.scopus.com/pages/publications/85164953994

U2 - 10.1007/978-981-99-1403-6_33

DO - 10.1007/978-981-99-1403-6_33

M3 - Conference contribution

AN - SCOPUS:85164953994

SN - 9789819914029

T3 - Lecture Notes in Civil Engineering

SP - 489

EP - 507

BT - Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation

A2 - Swasto, Deva Fosterharoldas

A2 - Rahmi, Dwita Hadi

A2 - Rahmawati, Yani

A2 - Hidayati, Isti

A2 - Al-Faraby, Jimly

A2 - Widita, Alyas

PB - Springer Science and Business Media Deutschland GmbH

T2 - 6th International Conference on Indonesian Architecture and Planning, ICIAP 2022

Y2 - 13 October 2022 through 14 October 2022

ER -

Hariyanto AD, Yudono A , Wicaksono AD. Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City. In Swasto DF, Rahmi DH, Rahmawati Y, Hidayati I, Al-Faraby J, Widita A, editors, Proceedings of the 6th International Conference on Indonesian Architecture and Planning (ICIAP 2022) - Beyond Sustainability Through Design, Planning and Innovation. Springer Science and Business Media Deutschland GmbH. 2023. p. 489-507. (Lecture Notes in Civil Engineering). doi: 10.1007/978-981-99-1403-6_33

Land Cover Change Simulation Based on Cellular Automata Using Artificial Neural Network Model Transition in Kedungkandang District, Malang City

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this