Info: Pendaftaran Magister Informatika UN...

Dr. Ahmad Ilham, S.Kom, M.Kom

Dr. Ahmad Ilham, S.Kom, M.Kom

Dosen homebase Magister Informatika Universitas | NIDN: 0624058502

Bidang Kepakaran :

Artificial Intelligence; Data Minning

Biografi

Dr. Ahmad Ilham, S.Kom., M.Kom., is an Indonesian national who has pursued an extensive academic journey. He earned his bachelor's degree in information systems within the field of computer science at Universitas Al Asyariah Mandar (Unasman). He then completed his master's degree in intelligent systems in informatics engineering at Universitas Dian Nuswantoro (Udinus). His PhD/Dr, with a focus on machine learning for health, was obtained from the Information System Doctoral Study Program at the Postgraduate School of Diponegoro University. His doctoral dissertation is on machine learning for intelligent systems in health. Since 2020, he has been a faculty member in the Department of Informatics at Universitas Muhammadiyah Semarang (Unimus). Additionally, he founded the Intelligent Data Science Research Group (IDSRG) [link] and is a member of the International Association of Engineers (IAENG). His research interests encompass data science, machine learning, and intelligent information processing.

Belum ada data proyek penelitian yang tersedia.

Daftar Publikasi Jurnal Terindeks Scopus

  1. [2025] Ilham A.; Khikmah L., FRSTU-Forest: A fixed random-state undersampling framework for reliable decision support in imbalanced classification, doi: 10.1177/18724981251405462, Quartil: Q3 (Intelligent Decision Technologies), Link Artikel
  2. [2025] Ilham A.; Khikmah L., FRSTU-Forest: A fixed random-state undersampling framework for reliable decision support in imbalanced classification, 10.1177/18724981251405462, N/A (Tidak tersedia di data), https://www.scopus.com/inward/record.uri?eid=2-s2.0-105025206408&doi=10.1177%2f18724981251405462&partnerID=40&md5=526c47be49a577498c4d67a05cbc755b
  3. [2025] Ilham A.; Nagara T.A.P.; Kamaruddin M.; Khikmah L.; Mantoro T., Fetal Health Risk Classification Using Important Feature Selection and Cart Model on Cardiotocography Data, 10.31449/inf.v49i1.5658, N/A (Tidak tersedia di data), https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000255071&doi=10.31449%2finf.v49i1.5658&partnerID=40&md5=b039ad8bb06c1891df4b796d668e22f5
  4. [2024] Ilham A.; Kindarto A.; Fathurohman A.; Khikmah L.; Ramadhani R.D.; Jawad S.A.; Liana D.A.; Amylia A.R.A.; Oleiwi A.K.; Mutiar A., CFCM-SMOTE: A Robust Fetal Health Classification to Improve Precision Modeling in Multiclass Scenarios, 10.12785/ijcds/160137, N/A (Tidak tersedia di data), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197480400&doi=10.12785%2fijcds%2f160137&partnerID=40&md5=9ad25258ae10fddcd768255a4f95d486
  5. [2023] Ilham A.; Hadiyanto H.; Widodo C.E., Optimizing ANN-Based Lyapunov Stability for Facial Expression Recognition as A Base Monitoring Neurological Disorders, 10.12785/IJCDS/1401109, N/A (Tidak tersedia di data), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178017329&doi=10.12785%2fIJCDS%2f1401109&partnerID=40&md5=6a3696ede6c36be92eaf6ef5aa0fcf4b
  6. [2023] Ilham A.; Assaffat L.; Khikmah L.; Safuan S.; Suprapedi S., k-Means Cluster-based Random Undersampling and Meta-Learning Approach for Village Development Status Classification, 10.30630/joiv.7.2.989, N/A (Tidak tersedia di data), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175112949&doi=10.30630%2fjoiv.7.2.989&partnerID=40&md5=31065f1255646334156000785f6984a7
  7. [2021] Mustakim; Khairunnisa U.; Wenda A.; Ilham A.; Laumal F.E.; Daengsgs A.; Putra D.S.; Iswara I.B.A.I.; Fitriatien S.R.; Rahim R., Unsupervised learning as a data sharing model in the fp-growth algorithm in determining the best transaction data pattern, (Tidak ada DOI di data), N/A (Tidak tersedia di data), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108253076&partnerID=40&md5=324f365d3fd09c0b695108d4ae1bd164
  8. [2019] Ilham A.; Wahono R.S.; Supriyanto C.; Wijaya A., U-control chart based differential evolution clustering for determining the number of cluster in k -means, 10.22266/ijies2019.0831.28, Quartil: Q2 (International Journal of Intelligent Engineering and Systems), https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068564398&doi=10.22266%2fijies2019.0831.28&partnerID=40&md5=ebcd5eba2768b753ccdbfe1986879db6

Belum ada data modul & buku yang tersedia.

Belum ada data kekayaan intelektual yang tersedia.

Belum ada data prestasi & penghargaan yang tersedia.