Cleaned Dataset for Predicting Smart City Development Index in Indonesia (2019–2021)

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Ramadhani, Putri Adistia

Description

This dataset supports the study "Machine Learning-Based Prediction of Smart City Development Index in Indonesia." It contains lightly pre-processed indicators from 98 cities and regencies across Indonesia between 2019 and 2021.Data was collected from official sources such as BPS-Statistics Indonesia and regional open data portals. It includes 17 variables relevant to smart city dimensions, covering aspects such as economy, infrastructure, education, public health, and access to services.The dataset has undergone basic preprocessing in the form of missing value imputation only. No normalization, transformation, or feature engineering has been applied.This dataset is intended for reproducible machine learning research and urban analytics. It is released under the CC BY 4.0 license.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.0

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

© 2025 Putri Adistia Ramadhani. This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Assigned Domain

Subfield

Media Technology

Field

Engineering

Domain

Physical Sciences

Confidence Score

46%

Source

Scholar Data Model

Keywords

Smart City, Smart City Development Index, Machine Learning, Predictive Analytics, Urban Indicators, Indonesia, Open Data

Normalization Factors

FT

26.92

CTw

1.00

MTw

1.00