U
Ubaidillah Ubaidillah
Researcher at Sebelas Maret University
Publications - 115
Citations - 507
Ubaidillah Ubaidillah is an academic researcher from Sebelas Maret University. The author has contributed to research in topics: Magnetorheological fluid & Computer science. The author has an hindex of 9, co-authored 52 publications receiving 274 citations. Previous affiliations of Ubaidillah Ubaidillah include Sunan Kalijaga Islamic University & Islamic University.
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Physicochemical Properties and Stress-Strain Compression Behaviors of a Waste based Magnetorheological Elastomers
TL;DR: In this article, a reclamation method of ground tire rubber (GTR) and electronic wastes into a tunable stiffness composite namely magnetorheological elastomers (MREs) was reported.
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Effect of Curing Current on Stiffness and Damping Properties of Magnetorheological Elastomers
Norhiwani Mohd Hapipi,Saiful Amri Mazlan,Siti Aishah Abdul Aziz,Ubaidillah Ubaidillah,Norzilawati Mohamad,Izyan Iryani Mohamad Yazid,Seung-Bok Choi +6 more
TL;DR: In this article, the viscoelastic effects of the magnetic field strength imposed for curing process on the stiffness and damping properties of magnetorheological elastomers (MREs) are experimentally investigated.
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In Vitro Degradation and Cytotoxicity of Eggshell-Based Hydroxyapatite: A Systematic Review and Meta-Analysis
Rohmadi Rohmadi,Widyanita Harwijayanti,Ubaidillah Ubaidillah,Joko Triyono,Kuncoro Diharjo,Pamudji Utomo +5 more
TL;DR: In this article, a systematic review and meta-analysis were conducted to observe the weight loss and viable cells of hydroxyapatite when used for implants, and the authors highlighted the importance of the biocompatibility of the materials.
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Non-parametric multiple inputs prediction model for magnetic field dependent complex modulus of magnetorheological elastomer
Kasma Diana Saharuddin,Mohd Hatta Mohammed Ariff,Irfan Bahiuddin,Ubaidillah Ubaidillah,Saiful Amri Mazlan,Siti Aishah Abdul Aziz,Nurhazimah Nazmi,Abdul Yasser Abd Fatah,Mohd Ibrahim Shapiai +8 more
TL;DR: In this paper , a data-driven approach for predicting multiple input-dependent complex moduli using feed-forward neural networks was proposed to predict complex modulus variables as a function of the applied magnetic field and other imperative variables.
Penerapan dana zakat produktif terhadap keuntungan usaha mustahik zakat
TL;DR: In this paper, Amil et al. presented a model proper application of Zakat distribution for the results obtained can be maximized, which in this case one form of zakat distribution of ZAKAT distribution dalah dilakukana productive.