Dr. Ubaidillah Umar, S.ST., M.T.

Assistant Professor (Lektor) – Computer Engineering
Telkom University, Surabaya Campus

My research focuses on intelligent decision-support systems for smart agriculture by integrating computer vision, deep learning, IoT-based environmental sensing, and ontology-based knowledge representation. Current research emphasizes melon maturity assessment, melon cultivation recommendation, and plant health monitoring using YOLOv8-based detection models, semantic web technologies, and knowledge graph reasoning.

Google Scholar Scopus SINTA CV

Quick Facts

Affiliation
Telkom University
Department
Computer Engineering
Main Research Area
Smart Agriculture
Certification
✓ Certified Lecturer
Email
[email protected]
Research Keywords
Computer Vision, Deep Learning, Ontology, Knowledge Graph

Research Focus

My research is centered on the development of intelligent agricultural decision-support systems that combine data-driven and knowledge-driven approaches. The data-driven component employs computer vision and deep learning models, particularly YOLOv8-based object detection, for assessing melon maturity and plant health conditions. The knowledge-driven component uses ontology, semantic web technologies, RDF, SPARQL, and knowledge graph reasoning to represent agricultural knowledge and support context-aware recommendations.

This research direction aims to bridge deep learning-based visual perception with ontology-based reasoning to support precision agriculture, especially in melon cultivation, harvest recommendation, and sustainable agricultural decision-making.

Education

Level Academic Degree University Year
S3 Doktor Institut Teknologi Sepuluh Nopember 2026
S2 Magister Teknik Politeknik Elektronika Negeri Surabaya 2018
D4 Sarjana Sains Terapan Politeknik Elektronika Negeri Surabaya 2011

Teaching Courses

System Security
Artificial Intelligence and Big Data
Database Systems
Object-Oriented Programming
Computer and Data Networks
Professional Ethics

Academic Metrics

The following metrics are based on indexed academic profiles and may change over time.

6680629
SINTA ID
6
Scopus Articles
23
Google Scholar Articles
27
Scopus Citations
119
Google Scholar Citations
3 / 7
H-index Scopus / Google Scholar
6+
Indexed Publications
5
Research Areas

Research Interests

Smart Agriculture Precision Agriculture Computer Vision Deep Learning Object Detection YOLOv8 Attention Mechanism Ontology Knowledge Graph Semantic Web RDF SPARQL Decision Support System Melon Maturity Detection Melon Cultivation Plant Health Monitoring Neurosymbolic AI

Research Vision

To develop reliable, explainable, and intelligent smart agriculture systems by integrating computer vision, deep learning, IoT sensing, and semantic knowledge representation. The long-term research vision is to support farmers, researchers, and agricultural stakeholders through decision-support systems that are not only accurate in detection but also capable of providing interpretable recommendations based on structured domain knowledge.

Selected Publications

  • Smart Ontology-Based System for Recommending Practices in Melon Cultivation
    Ubaidillah Umar, Tri Arief Sardjono, Hendra Kusuma
    IEEE Access, Vol. 12, pp. 162204–162216, 2024
    DOI: 10.1109/ACCESS.2024.3487288
  • Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard
    Ubaidillah Umar, Tri Arief Sardjono, Hendra Kusuma, Mohamad Yani, Helmy Widyantara
    JOIV: International Journal on Informatics Visualization, Vol. 9, No. 3, pp. 947–956, 2025
    DOI: 10.62527/joiv.9.3.2942
  • The Ontology Model for Selecting Quality Melons Uses Hidden Semantic Data Based on Melon Knowledge Domains
    Ubaidillah Umar, Tri Arief Sardjono, Hendra Kusuma
    2023 IEEE 13th Symposium on Computer Applications & Industrial Electronics (ISCAIE), pp. 95–100, 2023
    DOI: 10.1109/ISCAIE57739.2023.10164869
  • Rancang Bangun Sistem Kontrol dan Monitoring pH, Suhu Air, dan TDS pada Sistem Akuaponik Berbasis Internet of Things (IoT)
    Ubaidillah Umar
    JTT: Jurnal Teknologi Terapan, Vol. 10, No. 1, pp. 19–27, 2024
    DOI: 10.31884/jtt.v10i1.557
  • Implementation of Semantic Web on Wireless Sensor Application for Environment Monitoring
    Ubaidillah Umar, Helmy Widyantara, Billy Montolalu, M. Muhsin
    International Conference on Electrical, Electronics and Information Engineering (ICEEIE), 2019
    DOI: 10.1109/ICEEIE47180.2019.8981465
  • Distributed Database Semantic Integration of Wireless Sensor Network to Access the Environmental Monitoring System
    Ubaidillah Umar, M. Udin Harun Al Rasyid, Sritrusta Sukaridhoto
    International Journal of Engineering and Technology Innovation, 2018

Research Projects

  • Ontology-Based Decision Support System for Melon Cultivation
    Development of semantic knowledge models to support agricultural recommendations in melon cultivation, including seed selection, soil management, irrigation, pest control, and post-harvest handling.
  • YOLOv8-Based Melon Maturity Detection with Attention Mechanisms
    Computer vision and deep learning-based detection for supporting non-destructive assessment of melon maturity using image data from Puspalebo Orchard, East Java.
  • Smart Agriculture Ontology System
    Integration of observational data, sensor data, semantic web technologies, and knowledge graph reasoning to support agricultural decision-making.
  • IoT-Based Aquaponic Monitoring and Control System
    Design and implementation of an IoT system for monitoring and controlling pH, water temperature, and TDS in aquaponic environments.
  • Hydroponic Water Quantity Control System
    Development of an IoT-based control system for managing water quantity in hydroponic cultivation.
  • Multidimensional Data Design on Moodle Activity Log
    Data modeling and multidimensional analysis for educational activity logs.
  • Single Sign-On Using Timestamp Nonce
    Authentication system development using timestamp and nonce-based security mechanisms.

Community Service

  • Pelatihan Rangkaian Listrik SMP Al Islah Surabaya (2023)
  • Sistem Monitoring Tambak Lobster Berbasis IoT (2022)
  • Pengembangan Website Produk Mangrove (2022)
  • Maintenance System RSUD Tongas (2021)
  • Peningkatan Pendidikan melalui ICT (2018)

Intellectual Property

  • Fungsi dan Visualisasi Fungsi – Patent Nasional (2018)
  • Limit dan Kekontinuan – Patent Nasional (2018)
  • Sistem Bilangan Real dan Pertaksamaan – Patent Nasional (2018)
  • QRAMAS Attendance System – Hak Cipta Nasional (2019)
  • IoT Monitoring & Computer Vision System – Hak Cipta Nasional (2024)

Keywords

smart agriculture, precision agriculture, melon cultivation, melon maturity detection, melon disease assessment, computer vision, deep learning, object detection, YOLOv8, attention mechanism, ontology, knowledge graph, semantic web, RDF, SPARQL, decision support system, IoT sensing, environmental monitoring, harvest recommendation, recommendation system, neurosymbolic AI