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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknosains SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Rekayasa Mesin ROTOR: JURNAL ILMIAH TEKNIK MESIN R.E.M (Rekyasa Energi Manufaktur) Jurnal Journal of Mechanical Engineering Science and Technology STATOR: Jurnal Ilmiah Mahasiswa Teknik Mesin Jurnal Energi dan Teknologi Manufaktur Jurnal Polimesin
Aris Zainul Muttaqin
Staf Pengajar Jurusan Teknik Mesin Fakultas Teknik Universitas Jember
Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Observation of macro surface and gear mass of 3d printing machine using pla filament Mochamad Edoward Ramadhan; Aris Zainul Muttaqin; M. Trifiananto
SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Vol 16, No 2 (2022): SINTEK JURNAL
Publisher : University of Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/sintek.16.2.123-130

Abstract

3D Printing Machine is a machine that works with the basic principle of CNC, namely the movement of the machine in making the workpiece which is regulated by the G code in 3 coordinate axes x, y, and z. Based on how it works, 3d printing machines are classified into 7, namely, Vat photopolymerization, Material Extrusion, Powder-Bed Fusion, Sheet Lamination, Binder Jetting, Material Jetting, Directed Energy Deposition. The results of the research on 3d Printing Material extrusion this time using PLA material with a machining diameter of 1.75mm, nozzle distance with bed 0.1mm, nozzle diameter 0.4mm, layer height 0.12mm, nozzle temperature 2000C, bed temperature 600C, printing speed 80mm/s. The experimental results found problems such as clogging, the filament does not stick to the bed, the filament has a different freezing point, thus affecting the geometry of the workpiece to be printed. For the mass of all printed workpieces after measuring the mass with no significant changes, it is ensured that the problem originates from variables related to the printing of each layer in the form of printing speed, bed temperature, nozzle temperature, and system temperature.
PENGARUH PENAMBAHAN Mg DAN Sr TERHADAP KEKERASAN KOMPOSIT ADC12/nano-Al2O3 DENGAN METODE STIR CASTING Ahmad Al Kautsar; Salahuddin Junus; M Trifiananto; Imam Sholahudin; Aris Zainul Muttaqin
STATOR: Jurnal Ilmiah Teknik Mesin Vol 6 No 1 (2023): JURNAL STATOR
Publisher : Jurusan Teknik Mesin

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Abstract

Metal matrix composites generally use Aluminum (Al) as its matrix because of its low density, high processing, and high ductility. Ductility is an important factor that must be possessed on the metal matrix composite because the amplifier used is rigid and brittle. Alumina (Al2O3) is used as a reinforcing particle in a metal matrix composite because it has good thermal stability and hardness as well as a high Young modulus. Aluminum-silicon alloys (Al-Si) are excellent alloys of good melting, which have a good surface, without brittleness, and are excellent for cast alloys. The addition of magnesium (Mg) resulted in a modified rate of silicone eutectic for Al-Si-Mg, with enhanced magnesium (Mg) levels, increased alloy tensile strength but a decreasing percent elongation value. Strontium (Sr) is a common element used to modify eutectic and Si-shaped phases of rough acicular into finer and rounded fibrous forms. A metal matrix composite with a nano-sized Al2O3 particle amplifier can be fabricated using stir casting method with the addition of Mg as a Al2O3 wetting agent. Test results of the addition of Mg, Sr, and nano-Al2O3 to the highest hardness of ADC12 / nano-Al2O3 composites were found in ADC12-8Mg-0.03Sr / 2.5nano-Al2O3 variation at 78.92 HRB.
Development of MQL (minimum quantity lubricant) automation in applying cutting fluid on lathes Aris Zainul Muttaqin; Mahros Darsin; Yohan Rizal Kharisma; Ahmad Syuhri; Muhammad Trfiananto
Jurnal POLIMESIN Vol 20, No 2 (2022): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v20i2.2618

Abstract

It is normal to apply cutting fluid to machining, but using it excessively will harm the environment. One of the efforts to reduce it is to apply minimum quantity lubrication (MQL). This study aims to minimize the use of cutting fluid by designing a cutting fluid delivery system with Arduino Uno control. The developed MQL system can be controlled both based on temperature and time. This MQL system was a development from the previous system by replacing the limit and temperature sensor, nozzle, and mini compressor with a sprayer. The performance of this new MQL system was compared to a flooded cutting fluid feeding system. The experimental design of Taguchi L9 (3^4) with additional varied factors such as depth of cut, cutting speed, and feed rate. Each factor consisted of 3 levels. The measured output was cutting fluid consumption. S/N ratio analysis showed that the method of giving the cutting fluid most dominantly affected the outcome. ANOVA showed that more than 97.56% of the factors were dominated by the method. The combination of factors that would produce a minimum burst at a rate of 180 ml/hour if applying a combination of factors and a level of depth of cut 1.8 mm and a cutting speed of 120.89 m/min, provision of cutting fluid with the periodic MQL method and feed rate of 0.122 mm/rev. Meanwhile, the metal removal rate (MRR) analysis recommended the use of periodic cutting fluid methods at a depth of cut of 2.2 mm. The development of the new MQL either temperature control or periodic system control, both were able to comply with the MQL criterion, i.e. the maximum spray of 500 ml/h.
Power Enhancement of Monocrystalline Solar Panel with Passive Cooling Trifiananto, Muhammad; Hardiatama, Intan; Zainul Muttaqin, Aris; Edoward Ramadhan, Mochamad; Jatisukamto, Gaguk; Dimyati Nashrullah, Muhammad; Al Wafi, Adib
R.E.M. (Rekayasa Energi Manufaktur) Jurnal Vol 9 No 1 (2024): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/r.e.m.v9i1.1688

Abstract

The need for energy every year both in the domestic and global increases. Indonesia's energy needs are predicted to increase by 5% each year. Indonesia has renewable energy potential from solar, hydropower, wind, and geothermal sources. The potential of new renewable energy amounted to 442 GW. Of the 442 GW, the greatest potential is owned by 207 GW of solar energy. The high potential of solar energy in Indonesia is because Indonesia is located in the tropics which experiences sunshine time of approximately 6-8 hours per day and the sun continues to shine throughout the year. However, the length of irradiation also has an impact on increasing the temperature of solar panels. The higher the temperature of the solar panel, the output power will decrease and the life of the solar panel is reduced. The use of passive cooling from reference has a lower efficiency increase than active cooling. However, its installation requires lower costs, minimal maintenance, and no additional power requirements. This research will use 20WP monocrystalline solar panels with three cooling variations, namely: 1) with the addition of a thin aluminum plate and Vortex generator 2) By giving a tub of water under the panel 3) the Addition of aluminum fin. The three variations are compared with solar panels without cooling. The results on the first day showed a decrease in temperature of 2.30C with aluminum fin and an increase in power of 6.97% when using a water container. On the second day, a temperature decrease of 2.90C and a power increase of 5.81% when using aluminum fin coolers were recorded.
ANALISIS KINEMATIKA PADA EMPAT JARI ROBOT XOSKELETON TERAPI STROKE Firdausyah, Nalurita; Mulyadi, Santoso; Muttaqin, Aris Zainul; Anam, Khairul; Hidayatul Qoryah, Rika Dwi; Kustanto, M Nurkoyim
STATOR: Jurnal Ilmiah Teknik Mesin Vol 6 No 2 (2023): JURNAL STATOR
Publisher : Jurusan Teknik Mesin

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Abstract

Stroke is a disease or functional disorder of the brain in the form of nerve paralysis due to obstruction of blood flow to the brain which can be completely cured, cured with disabilities, or death. Rehabilitation is an effort to improve the quality of life of stroke survivors. However, rehabilitation with self-therapy has several drawbacks such as relatively expensive therapist costs, scheduled time, and limited resources. Therefore, technology is needed such as an exoskeleton robot that can be used by patients for therapy independently and practically. An exoskeleton robot or stroke therapy robot is a robotic framework system that is worn on the patient's joints to assist the patient in the rehabilitation process. For exoskeleton robots there are several kinds of mechanisms and for this study a cable and sheet transmission mechanism is used which is where the drive motors are separate so that they don't put too much of a burden on the user's hands. This research focuses more on the design of the index finger robot which represents the middle, ring, and little fingers. The method used is ansys rigid body dynamic simulation analysis by looking at position, speed, and acceleration. From the simulation results on the index finger exoskeleton robot design, the Range of Motion (ROM) of the flexion extension movement of the MCP joint is 62.17°, PIP 68.74°, and DIP 73.98°. The speed and acceleration of the three joints adjust the position and time coordinates that have been set during the simulation. Keywords: Stroke, Rehabilitation, Exoskeleton, Index Finger, Range of Motion
The Effect of Nozzle Temperature, Infill Geometry, Layer Height and Fan Speed on Roughness Surface in PETG Filament Taqdissillah, Doohan; Muttaqin, Aris Zainul; Darsin, Mahros; Dwilaksana, Dedi; Ilminnafik, Nasrul
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 6, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v6i22022p074

Abstract

3D printing is a process of making three-dimensional solid objects from a digital file process created by laying down successive layers of material until the object is created. Many filaments can be used in 3D printing, one of which is PETG (PolyEthylene Terephthalate Glycol). PETG is a modification of PET (PolyEthylene Terephthalate) with added glycol at a molecular level to offer different chemical properties that provide significant chemical resistance, durability, and excellent formability for manufacturing. This study aims to find the most optimal parameter of surface roughness of PETG with different parameters of nozzle temperature, infill geometry, layer height and fan speed. Taguchi L16 (44), with four levels for each parameter, was used to determine the effect of each parameter. Each experiment was repeated five times to minimize the occurrence of errors. Based on the result, the effect of each parameter is nozzle temperature at 4.9%, infill geometry at 5.9%, layer height at 82.3%, and fan speed at 4.6%. Layer height has the highest effect on surface roughness, and other parameters have a low effect, under 7%. Research shows that the optimal combination of parameters is a nozzle temperature of 220 °C, infill geometry zig-zag, layer height of 0.12 mm, and a fan speed of 80 %.
Implementation of Internet of Things (IoT) in a Plastic Blow Moulding Machine and Its Performance Measurement Faqih, Muhammad Fadhlurrohman; Darsin, Mahros; iMuttaqin, Aris Zainul; Yudistiro, Danang
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 5, No 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v5i22021p096

Abstract

Efficiency and effectiveness are indispensable things in the production process. Accurate use of existing resources and the shorter cycle time of production are of particular concern to optimize the production process. This research aims to implement automation to a conventional blow molding. An advanced attempt was carried out to use the Internet of Things (IoT) to increase its efficiency while maintaining the quality of the products. The use of the nodeMCU microcontroller and the blynk application allows the operator to operate the machine without having to come into or having direct contact with the machine. The performance of automation and IoT were tested by examining the products using Taguchi design using quality criteria of nominal the best. The efficiency of the system was also considered by comparing the cycle production time. S/N ratio of Taguchi analysis showed that the optimum volume of the bottle would be achieved when applying the temperature, injection time, and holding time of 190 oC, 14 minutes, and 5 minutes respectively. The error or deviation is only 0.41%. The application of the IoT system takes 34.45 seconds for a cycle time production, which is 3.76 seconds faster than a conventional system.
Myoelectric grip force prediction using deep learning for hand robot Anam, Khairul; Ardhiansyah, Dheny Dwi; Hana Sasono, Muchamad Arif; Nanda Imron, Arizal Mujibtamala; Rizal, Naufal Ainur; Ramadhan, Mochamad Edoward; Muttaqin, Aris Zainul; Castellini, Claudio; Sumardi, Sumardi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp3228-3240

Abstract

Artificial intelligence (AI) has been widely applied in the medical world. One such application is a hand-driven robot based on user intention prediction. The purpose of this research is to control the grip strength of a robot based on the user’s intention by predicting the grip strength of the user using deep learning and electromyographic signals. The grip strength of the target hand is obtained from a handgrip dynamometer paired with electromyographic signals as training data. We evaluated a convolutional neural network (CNN) with two different architectures. The input to CNN was the root mean square (RMS) and mean absolute value (MAV). The grip strength of the hand dynamometer was used as a reference value for a low-level controller for the robotic hand. The experimental results show that CNN succeeded in predicting hand grip strength and controlling grip strength with a root mean square error (RMSE) of 2.35 N using the RMS feature. A comparison with a state-of-the-art regression method also shows that a CNN can better predict the grip strength.
Co-Authors Adhe Reza Firmansyah Agus Triono Ahmad Al Kautsar Ahmad Al Kautsar Ahmad Mahrus Ahmad Syuhri Al Wafi, Adib Anam, M. Khairul Andi Sanata Ardhiansyah, Dheny Dwi Ardila Dwi Tresna Arief Ginanjar Dirgantara Ayu Martha Lestari Badrul Hadi Badrul Hadi, Badrul Boy Arief Fachri Castellini, Claudio Danang Yudistiro Dedi Dwilaksana Digdo Listyadi, Digdo Dinata, Gerry Gardika Surya Dwi Djumhariyanto Edoward Ramadhan, Mochamad Faqih, Muhammad Fadhlurrohman Feri Setya Putra Feri Setya Putra, Feri Setya Firdausyah, Nalurita Gaguk Jatisukamto Hana Sasono, Muchamad Arif Hari Arbiantara Harizalni SE Harizalni SE, Harizalni Havid Arifian Rochman Imam Sholahuddin Imam Sholahudin Intan Hardiatama khoirul fahmi aziz Khoirur Rohman Kustanto, M Nurkoyim Lazuardi Rahmadhani M Edoward Ramadhan M Nurkoyim Kustanto M Trifiananto M. Angga Saputra M. Edoward R. M. Trifiananto Mahros Darsin Mochamad Edoward Ramadhan Mochamad Edoward Ramadhan Muhammad Dimyati Nashrullah Muhammad Trfiananto Muhammad Trifiananto Nanda Imron, Arizal Mujibtamala Nasrul Ilminnafik Rendi Prisma Wahyudi Rika Dwi Hidayatul Qoryah Rizal, Naufal Ainur Salahuddin Junus Salahudin Junus Santoso Mulyadi Sumardi . Sumarji Taqdissillah, Doohan Yohan Rizal Kharisma