[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]<\/p>\n
[\/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.<\/strong> 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\u2019s degree in Statistics at ITS in 1994, followed by a Master\u2019s 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\u2019s 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”]<\/p>\n [\/dot_box_white][\/vc_tta_section][vc_tta_section title=”Research Outputs” tab_id=”1777879342770-9a758290-a426″][dot_box_white title=”Scientific Publications”]<\/p>\n 2026<\/strong> Shapelet Transformation of Multivariate Time Series for IoT Anomaly Detection<\/em> A Cost Supply Method for Finding an Initial Basic Feasible Solution of the Transportation Problem<\/em> Automated Workload Pattern Recognition in Kubernetes: A Time Series Detection Framework for Microservice Resource Characterization<\/em><\/p>\n An Enhanced Gravitational Search Algorithm for Feature Selection in Telecom Churn Prediction<\/em> Enhanced Supply Selection for Better Initial Basic Feasible Solutions in Transportation Problems<\/em> Cluster-Based Assessment to Improve Student Social Skill and Competence at SMA Muhammadiyah 10 Surabaya<\/em> Managing Biofouling from Ships in Indonesia: Regulation versus Implementation<\/em> 2024<\/strong> SNLI Indo: A Recognizing Textual Entailment Dataset in Indonesian Derived from the Stanford Natural Language Inference Dataset<\/em> Sarcasm Detection in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU<\/em> Accelerating Real-Time Deterministic Discovery through Single Instruction Multiple Data Graphical Processing Unit for Executing Distributed Event Logs<\/em> 2023<\/strong> Effects of Training Data on Prediction Model for Students\u2019 Academic Progress<\/em> [\/dot_box_white][dot_box_white title=”International Conference Publications”]<\/p>\n 2025<\/strong> Text Classification for Indonesian Software Description using Data Augmentation and Transformer Models<\/em> Weather Prediction in Indonesia Using Optimized Lag-Llama Based on BMKG Kemayoran and Kualanamu Data<\/em> Improving Population Forecast Accuracy using ARIMA-XGBoost Hybrid Model: A Case Study in West Kotawaringin Regency, Indonesia<\/em> Forecasting the Geomagnetic K Index with LSTM Networks: Insights from Indonesian Data<\/em> Balinese Gamelan Structural Classification Using Temporal Mel-CRNN<\/em> Dynamic Scheduling and Route Planning for Productive Inline Inspection Processes using Metaheuristic Algorithms<\/em> The Influence of Denoising Pre-processing on the Performance of Kulkul Sound Classification Using Transformers<\/em> Salt Supply Chain Modelling: A Dynamic System Approach to Salt Price Prediction<\/em> Modeling the Preferences of Generation Z and Millennials toward Online Car Transportation using Conjoint Methods<\/em> Data Clustering for Tax Incentives Determination: A Hybrid Manhattan Frequency K-Means and Particle Swarm Optimization Approach<\/em> E2Net: Enhanced Ensemble Networks for Dynamic Long-Term Time Series Forecasting<\/em> [\/dot_box_white][\/vc_tta_section][vc_tta_section title=”Funding” tab_id=”1777879388744-4ae75c70-a211″][dot_box_white title=”Research Projects and Grants”]<\/p>\n 2025<\/strong> Development of a Monte Carlo\u2013Regression Tree Simulation Model for Predicting Electrical Energy Consumption and Improving Efficiency Using the Internet of Things<\/em> Development of a Multivariate Time Series Classification Model Based on Shapelet Transformation for Anomaly Detection in Internet of Things Data<\/em> [\/dot_box_white][dot_box_white title=”Research Experience in the Last Five Years”]<\/p>\n (Excluding Undergraduate Thesis, Master\u2019s Thesis, and Doctoral Dissertation)<\/em><\/p>\n 2025<\/strong> Development of a Monte Carlo\u2013Regression Tree Simulation Model for Predicting Electrical Energy Consumption and Improving Efficiency Using the Internet of Things<\/em> Development of a Multivariate Time Series Classification Model Based on Shapelet Transformation for Anomaly Detection in Internet of Things Data<\/em> [\/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<\/strong> [\/dot_box_white][\/vc_tta_section][vc_tta_section title=”Books” tab_id=”1779080406630-6de6b316-a76b”][\/vc_tta_section][\/vc_tta_tabs][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":" [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. […]<\/p>\n","protected":false},"author":857,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/page-its.php","meta":{"_joinchat":[],"footnotes":""},"class_list":["post-1555","page","type-page","status-publish","hentry"],"yoast_head":"\n\n
Institut Teknologi Sepuluh Nopember (ITS)
Major: Computer Science
Year: 2015 \u2013 2019<\/li>\n
Institut Teknologi Sepuluh Nopember (ITS)
Major: Informatics Engineering
Year: 1997 \u2013 2000<\/li>\n
Institut Teknologi Sepuluh Nopember (ITS)
Major: Statistics
Year: 1989 \u2013 1994<\/li>\n<\/ul>\n\n
Stock Buy and Sell Prediction Based on Technical and News Sentiment Analysis Using Recurrent Neural Network Architecture and Ensemble Methods<\/em>
International Journal of Intelligent Engineering & Systems<\/em>, Vol. 19, No. 5, pp. 715<\/p>\n
Engineering, Technology & Applied Science Research<\/em>, Vol. 16, No. 2, pp. 33549\u201333556<\/p>\n
Engineering, Technology & Applied Science Research<\/em>, Vol. 16, No. 2, pp. 33024\u201333030<\/p>\n
Results in Engineering<\/em>, Article No. 109989<\/p>\n
MethodsX<\/em>, Article No. 103825<\/p>\n
International Journal of Geography, Social, and Multicultural Education<\/em>, Vol. 3, No. 3<\/p>\n
BIO Web of Conferences<\/em>, Vol. 216, Article 08004<\/p>\n<\/li>\n<\/ul>\n
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Bridging IoT Devices and Machine Learning for Predicting Power Consumption: A Case Study at Universitas Widya Dharma Pontianak<\/em>
Energy Informatics Journal<\/em>, Vol. 8, No. 87<\/li>\n<\/ul>\n
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Recognizing Textual Entailment: A Review of Resources, Approaches, Applications, and Challenges<\/em>
ICT Express<\/em>, Volume 10, Issue 1<\/p>\n
Data in Brief<\/em>, Vol. 52<\/p>\n
IEEE Access<\/em>, Vol. 12<\/p>\n
International Journal of Electrical and Computer Engineering<\/em>, Vol. 14, No. 04<\/p>\n<\/li>\n<\/ul>\n
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GLoW SMOTE-D: Oversampling Technique to Improve Prediction Model Performance of Students Failure in Courses<\/em>
IEEE Access<\/em>, Vol. 12<\/p>\n
International Journal of Advanced Computer Science and Applications<\/em>, Vol. 14, No. 07<\/p>\n<\/li>\n<\/ul>\n\n
Enhancing Balinese Gamelan Classification using a CNN with Multi-Feature Fusion<\/em>
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
15th International Conference on Information & Communication Technology and Systems (ICTS 2025)<\/p>\n
International Conference on Advanced Technologies in Energy and Environment (2025)<\/p>\n
10th International Conference on Informatics and Computing (ICIC 2025), pp. 1\u20136<\/p>\n
1st International Conference on Artificial Intelligence Technology (2025)<\/p>\n
International Conference on Artificial Intelligence for Sustainable Development (2025)<\/p>\n<\/li>\n<\/ul>\n\n
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Development of an Interactive Digital Twin Model for Hydropower Plant Site Optimization in Geothermal Areas Using Machine Learning and Multivariate Geospatial Data<\/em>
Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)<\/p>\n
Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)<\/p>\n
Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)<\/p>\n<\/li>\n<\/ul>\n
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Development of a Monte Carlo Simulation Model Using Regression Trees for Predicting Electrical Energy Consumption in Campus Buildings<\/em>
Funding: Doctoral Dissertation Research Grant, Ministry of Research and Technology (Kemristekdikti)<\/li>\n<\/ul>\n
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Sentiment Analysis on Indonesian Language Memes Using a Deep Learning Approach<\/em>
Funding: Inter-University Collaborative Research Grant<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n
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Development of an Interactive Digital Twin Model for Hydropower Plant Site Optimization in Geothermal Areas Using Machine Learning and Multivariate Geospatial Data<\/em>
Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Research Partner: Geophysics Research Group<\/p>\n
Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Research Partner: Universitas Widya Dharma<\/span><\/span><\/p>\n
Research Funding: Ministry of Education, Culture, Research, and Technology (Kemendikbudristek)
Research Partner: \u2013<\/p>\n<\/li>\n<\/ul>\n
\n\n
Development of a Monte Carlo Simulation Model Using Regression Trees for Predicting Electrical Energy Consumption in Campus Buildings<\/em>
Research Funding: Doctoral Dissertation Research Grant, Ministry of Research and Technology (Kemristekdikti)
Research Partner: Universitas Widya Dharma<\/span><\/span><\/li>\n<\/ul>\n
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Sentiment Analysis on Indonesian Language Memes Using a Deep Learning Approach<\/em>
Research Funding: Inter-University Collaborative Research Grant
Research Partner: Universitas Surabaya<\/span><\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
Feasibility Study of Information Technology Infrastructure for a Tier-3 Data Center at Dr. Soetomo Regional General Hospital<\/em>
Implementation Site: RSUD Dr. Soetomo<\/span><\/span>
Public\/Institutional Response: Recommendations generated from financial and legal audit assessments.[\/dot_box_white][dot_box_white title=”Intellectual Property Rights (IPR) \/ Copyrights”]<\/p>\n\n
Development of a Sentiment Classification Application for Meme Images<\/em>
Type: Computer Program
Registration Number: EC002023114329<\/li>\n
Two-Stage Modeling for Predicting Student Graduation from Enrolled Courses<\/em>
Type: Computer Program<\/li>\n<\/ul>\n