Published: 2025-04-01

Integrasi Big Data dan AI untuk Pengambilan Keputusan dalam Smart City

DOI: 10.35870/jtik.v9i2.3860

T. Irfan Fajri, Novi Rahayu, Handry Eldo, Giatika Chrisnawati, Rizkia Shaulita
  • T. Irfan Fajri: Universitas Islam Kebangsaan Indonesia , Affiliation name not available , Indonesia
  • Novi Rahayu: STIA Bengkulu , Affiliation name not available , Indonesia
  • Handry Eldo: Universitas Muhammadiyah Mahakarya Aceh , Affiliation name not available , Indonesia
  • Giatika Chrisnawati: Universitas Bina Sarana Informatika , Indonesia . image/svg+xml
  • Rizkia Shaulita: IAIN Takengon , Affiliation name not available , Indonesia
Issue Cover

Downloads

Article Metrics
Share:

Abstract

This research explores the integration of Big Data technology and Artificial Intelligence (AI) in decision-making in the context of Smart City. With the massive growth of data from various sources such as IoT, sensors, and information systems, Big Data is becoming an important foundation for in-depth analysis. Meanwhile, AI provides the ability to process data in real-time, identify patterns, and generate accurate recommendations. This research aims to analyze how the combination of these two technologies can improve efficiency, sustainability, and quality of life in cities. The methods used include literature review and case analysis in several smart cities. The results show that the integration of Big Data and AI can support faster, more precise, and data-driven decision-making, thus encouraging the creation of a smarter and more responsive city.

Keywords

Big Data ; AI ; Decision Making ; Smart City

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

How to Cite

Fajri, T. I., Rahayu, N., Eldo, H., Chrisnawati, G., & Shaulita, R. (2025). Integrasi Big Data dan AI untuk Pengambilan Keputusan dalam Smart City. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(2), 783-789. https://doi.org/10.35870/jtik.v9i2.3860
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 9 No. 2 (2025)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2025

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers
Scholarly Connection Platforms
Dimensions Dimensions Connected Papers Connected Papers Scite Scite Google Scholar Google Scholar Semantic Scholar Semantic Scholar Garuda Garuda Scilit Scilit Crossref Crossref BASE BASE Zenodo Zenodo Unpaywall Unpaywall OpenCitations OpenCitations
Author Biographies
T. Irfan Fajri
Google Scholar ResearchGate ORCID

Universitas Islam Kebangsaan Indonesia, Kabupaten Bireuen, Provinsi Aceh, Indonesia.

Novi Rahayu
Google Scholar ResearchGate ORCID

STIA Bengkulu, Kota Bengkulu, Provinsi Bengkulu, Indonesia.

Handry Eldo
Google Scholar ResearchGate ORCID

Universitas Muhammadiyah Mahakarya Aceh, Kabupaten Bireuen, Provinsi Aceh, Indonesia.

Giatika Chrisnawati
Google Scholar ResearchGate ORCID

Universitas Bina Sarana Informatika, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta, Indonesia.

Rizkia Shaulita
Google Scholar ResearchGate ORCID

IAIN Takengon, Kabupaten Aceh Tengah, Provinsi Aceh, Indonesia.

References
  • Adnan, A. D. I., Hasana, S., & Assidiq, F. M. (2023). Implementasi blue economy di Indonesia dengan memanfaatkan teknologi big data. Riset Sains dan Teknologi Kelautan, 134-140. https://doi.org/10.62012/sensistek.v6i2.31735.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Affandi, M. M. K., & Ginting, S. H. N. (2024). Sistem Pendukung Keputusan untuk Pemilihan Perangkat Internet of Things (IoT) Terbaik Menggunakan Simple Additive Weighting. Jurnal Minfo Polgan, 13(1), 1302-1306. https://doi.org/10.33395/jmp.v13i1.14344.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Alfiansa, G., Putri, A. N., & Fadel A, A. M. (2023). SYSTEMATIC LITERATURE REVIEW (SLR): PENGGUNAAN TEKNOLOGI BIG DATA DALAM KEPUTUSAN BISNIS. Journal of Comprehensive Science (JCS), 2(6).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Azhari, M., & Sutabri, T. (2024). Analisis Smart City Menggunakan Konsep Smart Society 5.0 Pada Electronic Policing. Digital Transformation Technology, 4(1), 138-146.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Chandra, D., & Haeruddin, H. (2025). Bibliometric Analysis of Global Literature: Smart City Innovation for the Development of Central Maluku Regency. Sultra Journal Of Government Science, 1(1), 46-64. https://doi.org/10.54297/sjgs.v1i1.860.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Farendy, M. F., & Akbar, R. N. (2024). Analisis Strategi Pemerintah Provinsi dalam Membangun Konsep Smart City: Studi Kasus Pemerintah Provinsi DKI Jakarta. Jurnal Ilmiah Wahana Pendidikan, 10(13), 537-548. https://doi.org/10.5281/zenodo.12790038.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Harefa, D. W. (2024). Big Data: Tantangan dan Peluang dalam Analisis Data Skala Besar. Circle Archive, 1(6).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Heryana, D., Setiawati, L., & Suhendar, B. (2019). Sistem Informasi Dan Potensi Manfaat Big Data Untuk Pendidikan. Gunahumas, 2(2), 350-357.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • James, B. A., Putri, E. L., Zalianti, N. R., & Wijonarko, P. (2023). PERANCANGAN SISTEM SMART MINING UNTUK INDUSTRI PERTAMBANGAN BATU BARA. Jurnal Kajian Teknik Elektro, 8(2), 92-96. https://doi.org/10.52447/jkte.v9i1.7680.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Judijanto, L., Pratama, I. W. A., Jata, I. W., & Utami, E. Y. (2024). Analisis Bibliometrik tentang Pengaruh Big Data dan Analitik dalam Pengembangan Produk dan Layanan. Jurnal Multidisiplin West Science, 3(01), 88-97.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Munawar, Z., Muliantara, A., Kmurawak, R. M., Reba, F., Sroyer, A., Sukmawan, D., ... & Beno, I. S. (2023). Big Data Analytics: Konsep, Implementasi, dan Aplikasi Terkini. Kaizen Media Publishing.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • NUR, S. K. (2020). Pemanfaatan Big Data Pada Konsep Smart City: Kajian Pustaka. Jurnal INSTEK (Informatika Sains dan Teknologi), 5(1), 27-36. https://doi.org/10.24252/instek.v5i1.12140.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Santoso, R. E., Prawiyogi, A. G., Rahardja, U., Oganda, F. P., & Khofifah, N. (2022). Penggunaan dan manfaat big data dalam konten digital. ADI Bisnis Digital Interdisiplin Jurnal, 3(2), 157-160.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
License & Copyright
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms:

1. Copyright Retention and Open Access License

Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

2. Rights Granted Under CC BY 4.0

Under this license, readers are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material for any purpose, including commercial use
  • No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed

3. Attribution Requirements

All uses must include:

  • Proper citation of the original work
  • Link to the Creative Commons license
  • Indication if changes were made to the original work
  • No suggestion that the licensor endorses the user or their use

4. Additional Distribution Rights

Authors may:

  • Deposit the published version in institutional repositories
  • Share through academic social networks
  • Include in books, monographs, or other publications
  • Post on personal or institutional websites

Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.

5. Self-Archiving and Pre-Print Sharing

Authors are encouraged to:

  • Share pre-prints and post-prints online
  • Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
  • Engage in scholarly communication throughout the publication process

6. Open Access Commitment

This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.

Downloads

Similar Articles

You may also start an advanced similarity search for this article.