Researcher Informations
(Login to edit your informations) Last Edited: 2025-07-07 12:32:39
Yusuf Maulana, S.T., M.Sc.
Faculty, Affiliation
- Biomedical Engineering Study Program, Institut Teknologi Sumatera
College and School Educational Field
- Faculty of Industrial Engineering
Laboratory
Academic Background
- Master, Biomedical Engineer, Graduate School, Universitas Gadjah Mada, Indonesia
- Undergraduate, Engineering Physics Education/ FT, Universitas Gadjah Mada, Indonesia
Career
- 2025 - Now : Lecturer and Researcher, Biomedical Engineering Study Program, Faculty of Industrial Technology, Institut Teknologi Sumatera, Indonesia
- 2024-2025 : Acting Director of CV ACTA Techno Inava
- 2022-2023 : PM Biomedical Analyst of PT Karya Indonesia Cerdas
- 2022 : CEO Hidispawn
- 2021-2022 : CEO Archilab Academy
- 2021-2025 : HR Manager of CV ACTA Techno Inava
- 2020 : Teacher, MTs Muna Falih
- 2019-2022 : Visual Studio Research Assistant, Department of Nuclear Engineering and Engineering Physics UGM
Year & Month of Birth
1996 07Academic Society
- Persatuan Insinyur Indonesia (PII)
- Masyarakat Bioinformatika Dan Biodiversitas Indonesia (MABBI)
Award
- Semifinalist of Gamais Fair UNDIP National Essay Competition 2015
- Finalist of ASMF Business Competition 2016.
- Winner of DAPA National Techno Antenna Fair Student Category 2017
- UGM Postgraduate Scholarship Awardee 2020
- Recipient of Innovative Academy Advanced Incubation Program Grant and Ministry of Cooperatives & SMEs of the Republic of Indonesia 2021
- Silver Medal Best Presenter ICEBEHI 2022
Specialities
Medical Device Design
Speciality Keywords
Research Themes
Design Product, 3D Print, Machine Learning, Artificial Intelligence, Virtual Reality
Books
Papers
- D. C. E. Saputra, Y. Maulana, T. A. Win, R. Phann, and W. Caesarendra, “Implementation of Machine Learning and Deep Learning Models Based on Structural MRI for Identification Autism Spectrum Disorder”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 9, no. 2, pp. 307–318, May 2023.
- Saputra, D.C.E., Maulana, Y., Faristasari, E., Ma’arif, A., Suwarno, I. (2023). Machine Learning Performance Analysis for Classification of Medical Specialties. In: Triwiyanto, T., Rizal, A., Caesarendra, W. (eds) Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics. Lecture Notes in Electrical Engineering, vol 1008. Springer, Singapore. https://doi.org/10.1007/978-981-99-0248-4_34
- F. Aprillia, N. D. Kinanggit, indra Bramanti, Y. Yanuar, Y. Maulana, and Herianto, “Design and Build Lighting Aids at Fingertips for Dentists: Rancang Bangun Alat Bantu Penerangan di Ujung Jari untuk Dokter Gigi ”, J. Ind. Eng. Edu., vol. 2, no. 1, pp. 31–39, Apr. 2024.
Conference Presentations
Webinar Ilmiah Masjid II, Masjid Salman ITB 2020
3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI 2022)
1st Gadjah Mada International Conference on Tropical Medicine (GAMA-ICTM 2022)
Arts and Fieldwork
Patent
- IDS000006276 Sistem Pengalihan Rasa Takut Saat Pemeriksaan Gigi Berbasis Virtual Reality
- IDP000098704 Extruder Mesin 3D-Printer Cokelat
- IDP000089112 Alat Cetak Tiga Dimensi Edukatif Berbasis Augmented Reality
- IDP000094874 Ekstruder 3D Printer Chocolate Dengan Bilah
- IDP000092319 Ekstruder Mesin Cetak Cokelat 3 Dimensi