Photo of Muhammad Ariful Furqon, informatics lecturer at the University of Jember

Muhammad Ariful Furqon

ムハンマド・アリフル・フルコン

Assistant Professor, Department of Informatics, University of Jember
PhD Candidate, Japan Advanced Institute of Science and Technology

About

I am an assistant professor in the Department of Informatics, Faculty of Computer Science, University of Jember, holding the academic rank of Assistant Professor. My research focuses on the construction and application of knowledge graphs, deep learning, and NLP, mostly applied to plant pest/disease diagnosis and agricultural yield forecasting. I am currently pursuing my PhD at the Japan Advanced Institute of Science and Technology (JAIST), Japan.

Research Interests

Knowledge Graphs, Machine Learning, Deep Learning, Natural Language Processing, Graph Neural Networks, Expert Systems, Game Intelligence.

Education

Positions

Publications

Google Scholar — h-index 8 · i10-index 8 · 285 citations.

Research Grants

  1. The Application of Machine Learning with Graph-Based Models for Agricultural Data Classification. 2025.
  2. Perancangan Model Enterprise Architecture (EA) dalam Pengembangan Sistem Informasi Pangan dan Gizi Terintegrasi untuk Mewujudkan Ketahanan dan Swasembada Pangan di Kabupaten Jember. 2025.
  3. Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Padi Berbasis Deep Knowledge Graph. 2024.
  4. Deep Knowledge Graph untuk Diagnosis dan Prediksi Penyakit Padi. 2023.
  5. Segmentasi Citra Tanda Tangan Menggunakan Ektraksi Fitur Algoritma SURF dan Klasifikasi Perceptron Dengan Feature Subset Selection Wrapper. 2022.
  6. Penerapan Teknologi Informasi dalam Mewujudkan Smart Farming Berbasis Potensi Wilayah di Desa Sukorejo Kecamatan Bangsalsari Kabupaten Jember. 2022.
  7. Desain dan Konstruksi Graf Pengetahuan untuk Mengidentifikasi Hama dan Penyakit Tanaman. 2022.
  8. Critical Data Analysis of COVID-19 Spreading in Indonesia to Measure the Readiness of New-Normal Policy. 2021.

Intellectual Property

  1. Model Prediksi Hasil Panen Padi Menggunakan Agri-GNN di Indonesia. Hak Cipta Nasional, 2025.
  2. Sistem Deteksi Berita Hoaks Berbasis Android Menggunakan Model One Dimensional Convolutional Neural Network (1D-CNN) Berbasis Android. Hak Cipta Nasional, 2025.
  3. Sistem Prediksi Nilai Tukar Mata Uang Rupiah Berbasis Web Menggunakan Long Short Term Memory. Hak Cipta Nasional, 2025.
  4. Alat Pembaca Kelembapan Biji Kopi pada Proses Penjemuran. Hak Cipta Nasional, 2025.
  5. eXperTani 1.0. Hak Cipta Nasional, 2024.
  6. Deep Knowledge Graph Hama Dan Penyakit Padi. Hak Cipta Nasional, 2023.
  7. Petunjuk Praktikum Kecerdasan Komputasional. Hak Cipta Nasional, 2023.
  8. Graf Pengetahuan Diagnosis Hama dan Penyakit Tanaman. Hak Cipta Nasional, 2022.
  9. Germas Tani / Penerapan Teknologi Informasi dalam Mewujudkan Smart Farming Berbasis Potensi Wilayah di Desa Sukorejo Kecamatan Bangsalsari Kabupaten Jember. Hak Cipta Nasional, 2022.

Teaching

No Course
1Artificial Intelligence
2Machine Learning
3Knowledge Graph
4Graph Database
5Graph Theory
6Statistics
7Game Design and Development
8Game Intelligence
9Research Methodology and Proposal 1
10Research Methodology and Proposal 2

Contact

Open to research collaboration and student supervision around Knowledge Graphs, Machine Learning & NLP.