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Center for Data Science Automation

Center for Data Science Automation (CDSCAN) delivers end-to-end data automation and AI-driven solutions that streamline operations, enhance decision-making, and accelerate digital transformation. Powered by a multidisciplinary expert team, CDSCAN is your strategic partner for secure, scalable, and impact-driven data solutions.

Ade Irawan, Ph.D.

Ade Irawan, Ph.D.

CDSCAN Coordinator

Data Science
  • Dr. Ariana Yunita
  • Ade Irawan, Ph.D.
  • Dr. Tasmi
Digital Transformation
  • Dr. Suhari Pranyoto, SE., Ak., M.M.
  • Fiska Kusumawati, MBA.
  • Randi Farmana Putra, M.Si.
Artificial Intelligence
  • Ade Irawan, Ph.D. (Chair)
  • Dr. Eng. M. Abdillah
  • Hermianto Nugroho, M.Sc.
Apps Development
  • Meredita Susanty, M.Sc.
  • Randi Farmana Putra, M.Si.
  • Intan Oktafiani, S.Kom., M.T.
Automation System
  • M. Kovimatu, Ph.D.
  • M. Zaki Almuzakki, M.Si.
  • Hermianto Nugroho, M.Sc.
Data Security
  • Rangga Ganzar Noegraha, Ph.D.
  • M. Zaki Almuzakki, M.Si.
  • Randi Farmana Putra, M.Si.

CDSCAN Activities & Portofolio

Studi Pendahuluan Kondisi Pemerintah, Masyarakat, dan Mitra untuk Membangun Sarana Pembelajaran Virtual tentang Energi Baru

Research – Hibah DIKTI 2018

Model Optimalisasi Produksi Minyak pada Sistem Intermittent Gas Lift dengan Differential Evolution

Internal Research 2019-2020

Monitoring of Contract Application (MONIC)

Research – Hibah DIKTI 2018

Penerapan Principal Component Analysis pada Pengaruh Intensitas Pemaparan Gadget Terhadap Performa Akademik Mahasiswa di Perguruan Tinggi

Research – Hibah DIKTI 2018

Smart Classroom

Universitas Pertamina 2019 -2020

Pengenalan Aktivitas Objek dan Lokasinya dengan Memanfaatkan Sinyal WiFi dan Machine Learning

Universitas Pertamina 2021

Utilization of Advanced Wireless Communication on Decision Making Startegy to Improve Safety Performance and Productivity in Oil and Gas Industry

UPER – UTP Research Fund 2018

Cloud-enabled Seismic Processing Software (CLIRTON-1)

Pertamina URTI 2019-2020

Pengembangan Model Komunikasi Semantik yang Memanfaatkan Korelasi Data untuk Mendukung Teknologi 5G dan Seterusnya

Research – Hibah DIKTI 2021

Deep Learning-based Computer Vision for Improving Safety, Productivity, and Operational Cost in Oil and Gas Industry

Internal Research 2018-2019

Towards An Autonomous Systems of Intelligent Asset Integrity

UPER-UTP Research Fund 2023-2024

CDSCAN TRAINING & SERVICES

Software Development for Digital Transformation

  • Automating manual process by replacing time-consuming manual tasks with automated workflows.
  • Integrating systems by seamlessly connecting existing systems, such as databases and IoT.
  • Improving data analytics by enabling data-driven decision-making through advanced analytics.

Data Processing and Integration

  • Developing automated systems for data collection, cleaning, and integration from various sources.
  • Creating pipelines for efficient data processing.

Machine Learning Automation

  • Designing automated machine learning models for predictive analysis.
  • Implementing algorithms to automate model training and optimization.

Workflow Automation

  • Developing end-to-end automated workflows for data analysis and interpretation.
  • Implementing solutions that reduce manual intervention in data-related tasks.

Customized Solutions

  • Tailoring automation solutions based on the specific needs of different industries and clients.
  • Providing consultancy on how automation of data science and AI can optimize existing data-related processes.

Data Visualization Automation

  • Creating automated tools for data visualization to communicate insights effectively.
  • Implementing dashboards that update in real-time.

Security and Compliance

  • Incorporating automated solutions for data security and compliance with regulations.
  • Ensuring that automated processes adhere to ethical and legal standards.

Decision Support Systems

  • Building automated decision support systems that provide insights and recommendations to aid decision-making.

Research and Development

  • Engaging in continuous research to stay at the forefront of technological advancements.
  • Developing innovative solutions to address emerging challenges in data science and automation.

Training

  • Providing training programs for users to effectively utilize automated systems.
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