Dr. Ir. Ahmad Saikhu, S.Si., M.T. - Pusat Studi Kecerdasan Artificial dan Teknologi Digital

[vc_row][vc_column][vc_empty_space][/vc_column][/vc_row][vc_row][vc_column width=”1/3″][vc_single_image image=”1059″ img_size=”250×250″ alignment=”center” style=”vc_box_circle_2″][vc_column_text]Deputy Head of the Center for AI and Digital Technology Studies, ITS[/vc_column_text][vc_column_text]

Dr. Ir. Ahmad Saikhu, S.Si, M.T.

[/vc_column_text][vc_separator][vc_btn title=”saikhu@if.its.ac.id” color=”white” align=”center” i_icon_fontawesome=”fa fa-envelope-o” add_icon=”true”][vc_separator][vc_btn title=”Scopus” color=”white” align=”center” i_icon_fontawesome=”fa fa-university” add_icon=”true” link=”url:https%3A%2F%2Fwww.scopus.com%2Fauthid%2Fdetail.uri%3FauthorId%3D56165675200|||”][vc_btn title=”Google Scholar” color=”white” align=”center” i_icon_fontawesome=”fa fa-graduation-cap” add_icon=”true” link=”url:https%3A%2F%2Fscholar.google.com%2Fcitations%3Fhl%3Did%26user%3Dg3SEGgkAAAAJ|||”][/vc_column][vc_column width=”2/3″][vc_tta_tabs active_section=”1″][vc_tta_section title=”About” tab_id=”1777879342750-003401f8-ad70″][dot_box_white title=”Bio”]Dr. Ir. Ahmad Saikhu, S.Si., M.T. is a Senior Lecturer and currently serves as the Vice Head of the Center for Artificial Intelligence and Digital Technology Studies at Institut Teknologi Sepuluh Nopember (ITS), Indonesia. He completed his Bachelor’s degree in Statistics at ITS in 1994, followed by a Master’s degree in Informatics Engineering in 2000, and earned his Doctoral degree in Computer Science from ITS in 2019. His undergraduate research focused on evaluating public healthcare service patterns in Surabaya using log-linear modeling, while his master’s thesis investigated the performance of ARIMA and Artificial Neural Network (ANN) models for nonlinear time-series data. His doctoral dissertation proposed a Hybrid PCSUF-RNN model for rainfall prediction using global variables in monsoon zone regions. His research interests include artificial intelligence, machine learning, time-series forecasting, data mining, natural language processing, Internet of Things (IoT), and intelligent systems applications in environmental, energy, and healthcare domains.[/dot_box_white][dot_box_white title=”Degrees”]

Doctoral Degree (Ph.D.)
Institut Teknologi Sepuluh Nopember (ITS)
Major: Computer Science
Year: 2015 – 2019
Master’s Degree (M.Sc.)
Institut Teknologi Sepuluh Nopember (ITS)
Major: Informatics Engineering
Year: 1997 – 2000
Bachelor’s Degree (B.Sc.)
Institut Teknologi Sepuluh Nopember (ITS)
Major: Statistics
Year: 1989 – 1994

[/dot_box_white][/vc_tta_section][vc_tta_section title=”Research Outputs” tab_id=”1777879342770-9a758290-a426″][dot_box_white title=”Scientific Publications”]

2026
Stock Buy and Sell Prediction Based on Technical and News Sentiment Analysis Using Recurrent Neural Network Architecture and Ensemble Methods
International Journal of Intelligent Engineering & Systems, Vol. 19, No. 5, pp. 715

Shapelet Transformation of Multivariate Time Series for IoT Anomaly Detection
Engineering, Technology & Applied Science Research, Vol. 16, No. 2, pp. 33549–33556

A Cost Supply Method for Finding an Initial Basic Feasible Solution of the Transportation Problem
Engineering, Technology & Applied Science Research, Vol. 16, No. 2, pp. 33024–33030

Automated Workload Pattern Recognition in Kubernetes: A Time Series Detection Framework for Microservice Resource Characterization

An Enhanced Gravitational Search Algorithm for Feature Selection in Telecom Churn Prediction
Results in Engineering, Article No. 109989

Enhanced Supply Selection for Better Initial Basic Feasible Solutions in Transportation Problems
MethodsX, Article No. 103825

Cluster-Based Assessment to Improve Student Social Skill and Competence at SMA Muhammadiyah 10 Surabaya
International Journal of Geography, Social, and Multicultural Education, Vol. 3, No. 3

Managing Biofouling from Ships in Indonesia: Regulation versus Implementation
BIO Web of Conferences, Vol. 216, Article 08004

2025
Bridging IoT Devices and Machine Learning for Predicting Power Consumption: A Case Study at Universitas Widya Dharma Pontianak
Energy Informatics Journal, Vol. 8, No. 87

2024
Recognizing Textual Entailment: A Review of Resources, Approaches, Applications, and Challenges
ICT Express, Volume 10, Issue 1

SNLI Indo: A Recognizing Textual Entailment Dataset in Indonesian Derived from the Stanford Natural Language Inference Dataset
Data in Brief, Vol. 52

Sarcasm Detection in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU
IEEE Access, Vol. 12

Accelerating Real-Time Deterministic Discovery through Single Instruction Multiple Data Graphical Processing Unit for Executing Distributed Event Logs
International Journal of Electrical and Computer Engineering, Vol. 14, No. 04

2023
GLoW SMOTE-D: Oversampling Technique to Improve Prediction Model Performance of Students Failure in Courses
IEEE Access, Vol. 12

Effects of Training Data on Prediction Model for Students’ Academic Progress
International Journal of Advanced Computer Science and Applications, Vol. 14, No. 07

[/dot_box_white][dot_box_white title=”International Conference Publications”]

2025
Enhancing Balinese Gamelan Classification using a CNN with Multi-Feature Fusion
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Text Classification for Indonesian Software Description using Data Augmentation and Transformer Models
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Weather Prediction in Indonesia Using Optimized Lag-Llama Based on BMKG Kemayoran and Kualanamu Data
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Improving Population Forecast Accuracy using ARIMA-XGBoost Hybrid Model: A Case Study in West Kotawaringin Regency, Indonesia
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Forecasting the Geomagnetic K Index with LSTM Networks: Insights from Indonesian Data
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Balinese Gamelan Structural Classification Using Temporal Mel-CRNN
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Dynamic Scheduling and Route Planning for Productive Inline Inspection Processes using Metaheuristic Algorithms
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

The Influence of Denoising Pre-processing on the Performance of Kulkul Sound Classification Using Transformers
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)

Salt Supply Chain Modelling: A Dynamic System Approach to Salt Price Prediction
International Conference on Advanced Technologies in Energy and Environment (2025)

Modeling the Preferences of Generation Z and Millennials toward Online Car Transportation using Conjoint Methods
10th International Conference on Informatics and Computing (ICIC 2025), pp. 1–6

Data Clustering for Tax Incentives Determination: A Hybrid Manhattan Frequency K-Means and Particle Swarm Optimization Approach
1st International Conference on Artificial Intelligence Technology (2025)

E2Net: Enhanced Ensemble Networks for Dynamic Long-Term Time Series Forecasting
International Conference on Artificial Intelligence for Sustainable Development (2025)

[/dot_box_white][/vc_tta_section][vc_tta_section title=”Funding” tab_id=”1777879388744-4ae75c70-a211″][dot_box_white title=”Research Projects and Grants”]

- 2025
  Development of an Interactive Digital Twin Model for Hydropower Plant Site Optimization in Geothermal Areas Using Machine Learning and Multivariate Geospatial Data
  Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
  
  Development of a Monte Carlo–Regression Tree Simulation Model for Predicting Electrical Energy Consumption and Improving Efficiency Using the Internet of Things
  Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
  
  Development of a Multivariate Time Series Classification Model Based on Shapelet Transformation for Anomaly Detection in Internet of Things Data
  Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
- 2024
  Development of a Monte Carlo Simulation Model Using Regression Trees for Predicting Electrical Energy Consumption in Campus Buildings
  Funding: Doctoral Dissertation Research Grant, Ministry of Research and Technology (Kemristekdikti)
- 2023
  Sentiment Analysis on Indonesian Language Memes Using a Deep Learning Approach
  Funding: Inter-University Collaborative Research Grant

[/dot_box_white][dot_box_white title=”Research Experience in the Last Five Years”]

- (Excluding Undergraduate Thesis, Master’s Thesis, and Doctoral Dissertation)
  - 2025
    Development of an Interactive Digital Twin Model for Hydropower Plant Site Optimization in Geothermal Areas Using Machine Learning and Multivariate Geospatial Data
    Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
    Research Partner: Geophysics Research Group
    
    Development of a Monte Carlo–Regression Tree Simulation Model for Predicting Electrical Energy Consumption and Improving Efficiency Using the Internet of Things
    Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
    Research Partner: Universitas Widya Dharma
    
    Development of a Multivariate Time Series Classification Model Based on Shapelet Transformation for Anomaly Detection in Internet of Things Data
    Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
    Research Partner: –
  - 2024
    Development of a Monte Carlo Simulation Model Using Regression Trees for Predicting Electrical Energy Consumption in Campus Buildings
    Research Funding: Doctoral Dissertation Research Grant, Ministry of Research and Technology (Kemristekdikti)
    Research Partner: Universitas Widya Dharma
  - 2023
    Sentiment Analysis on Indonesian Language Memes Using a Deep Learning Approach
    Research Funding: Inter-University Collaborative Research Grant
    Research Partner: Universitas Surabaya

[/dot_box_white][/vc_tta_section][vc_tta_section title=”Services and Leadership” tab_id=”1779080352290-d9d4bae1-4c82″][dot_box_white title=”Public Policy and Social Engineering Experience”]2025
Feasibility Study of Information Technology Infrastructure for a Tier-3 Data Center at Dr. Soetomo Regional General Hospital
Implementation Site: RSUD Dr. Soetomo
Public/Institutional Response: Recommendations generated from financial and legal audit assessments.[/dot_box_white][dot_box_white title=”Intellectual Property Rights (IPR) / Copyrights”]

2024
Development of a Sentiment Classification Application for Meme Images
Type: Computer Program
Registration Number: EC002023114329
2023
Two-Stage Modeling for Predicting Student Graduation from Enrolled Courses
Type: Computer Program

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