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All Journal Prosiding Seminar Nasional Teknoka Indonesian Journal of Electrical Engineering and Computer Science
Asari Djohar
Universitas Pendidikan Indonesia
Engineering

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Analisis Sifat Mekanis Magnesium Melalui Uji Tarik Uum Sumirat; Asari Djohar; Iwa Kuntadi; Sigit Supriatno
Prosiding Seminar Nasional Teknoka Vol 2 (2017): Prosiding Seminar Nasional Teknoka ke - 2
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (150.136 KB)

Abstract

Bone implant plates are only used temporarily during the healing process of a fractured bone. Once the healing process is complete, the implants need to be surgically removed. By using biodegradable material there will be no need for an implant removal surgery, because the implant plate will be degraded and destroyed naturally in the body. This biodegradable implant would need to bestrong enough to handle the body's weight and movement to be able to replace the bone physiologic function until the fractured bone is completely healed. A possible biodegradable material that could be degraded and destroyed naturally in the body is magnesium. However, magnesium has its limitation, its ability to resist corrosive properties is faster than a fractured bone healing process. Therefore, the plastic deformation process is done by suppressing the platewith 1%, 2%, and 3% degradation. It will increase the magnesium's ability to resist the dynamic force and improve its mechanical properties, so that the biodegradable implant plate can perform its function as a substitute for the fractured bone until the healing process is completed and degraded naturally only afterwards. The corrosive body fluid environment and recurring loads retained by the implant plate during the bone fixation process leads to fatigue of the implant plate.The crack rate testing of deformed magnesium alloys after immersion process in the physiological fluid DMEM can provide useful information on magnesium mechanical strength enhancement and subsequently whether it is feasible to be used as biodegradable bone implant plate.
Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method Mujiarto Mujiarto; Asari Djohar; Mumu Komaro; Mohamad Afendee Mohamed; Darmawan Setia Rahayu; W. S. Mada Sanjaya; Mustafa Mamat; Aceng Sambas; Subiyanto Subiyanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp293-299

Abstract

In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based on Arduino microcontroller is applied to the dynamic model of 5 DoF Robot Arm presented. MATLAB is used to detect colored objects based on image processing. Adaptive Neuro Fuzzy Inference System (ANFIS) method is a method for controlling robotic arm based on color detection of camera object and inverse kinematic model of trained data. Finally, the ANFIS algorithm is implemented in the robot arm to select objects and pick up red objects with good accuracy.
Co-Authors Aceng Sambas Darmawan Setia Rahayu Iwa Kuntadi Mada Sanjaya WS Mohamad Afendee Mohamed Mujiarto Mumu Komaro Mustafa Mamat Sigit Supriatno Subiyanto Subiyanto Sumirat, Uum