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Anwar Ilmar Ramadhan
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Faculty of Engineering Universitas Muhammadiyah Jakarta Jl. Cempaka Putih Tengah 27 Jakarta Pusat 10510 Indonesia
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Journal of Applied Sciences and Advanced Technology
Published by Universitas Muhammadiyah Jakarta
ISSN : -     EISSN : 26226553     DOI : 10.24853/jasat
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering
Journal of Applied Sciences and Advanced Technology (JASAT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of applied sciences, advanced technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JASAT follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 3 Documents
 1 
Search results for , issue "Vol 4, No 3 (2022): Journal of Applied Sciences and Advanced Technology" : 3 Documents clear
Process Control on the Platformer with the Adaptive Neuro-Fuzzy Inference System (ANFIS) Method Heri Setiono; Tri Yuni Hendrawati; Yustinah Yustinah
Journal of Applied Sciences and Advanced Technology Vol 4, No 3 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.4.2.51-56

Abstract

Catalytic naphtha reform (platformer) is the main process carried out in oil refineries to increase low octane naphtha into high octane gasoline. The Reformer will meet a wide range of products that require operating flexibility. Process optimization can be done by controlling using the ANFIS method. This optimization requires an accurate process model that is applicable in a wide range of operating conditions, therefore simplifications are made in the kinetic model modeling. This model provides three temperature profiles and concentrations of important hydrocarbons (naphthene, paraffin, and aromatic) throughout the reactor. The optimal control scheme using the ANFIS method is used to maximize the aromatic yield, following the reactor inlet temperature limit. The results obtained were compared with the aromatic results without control and using control with the neural network method. The results showed that the ANFIS method has the ability to control the process. Furthermore, the results obtained from the process are used to determine the pressure of the process during the reaction.
Mobile-Based Employee Attendance System Design Using the Rapid Application Development Method at the Universitas Muhammadiyah Jakarta Nursodik Nursodik; Susanna Dwi Yulianti Kusuma
Journal of Applied Sciences and Advanced Technology Vol 4, No 3 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.4.3.81-86

Abstract

Employee attendance is an important activity because it is related to employee productivity and is usually used as part of paying employee salaries. Therefore, recording employee attendance must be thorough, fast and accurate. Now, various types of employee attendance systems have developed, one of which uses fingerprints. The employee attendance system currently used by the University of Muhammadiyah Jakarta is attendance using fingerprints placed in every building or faculty. This system has drawbacks, namely the limited availability of fingerprint scanners, placement of presence tools far from the work location, and dependence on presence tools. So with these weaknesses, a mobile apps-based attendance system was built that uses GPS to make it easier for employees to make attendance while in the presence area or where they work. The method used in this research is Rapid Application Development. With this system, the attendance process and attendance data processing is easier and more efficient, helping to maximize the attendance data collection and processing process.
Process of Making Gas Stove Spuyer with TU-2A CNC Machine Thomas Djunaedi; Anwar Ilmar Ramadhan; Firmansyah Firmansyah; Mohd Amiruddin Fikri
Journal of Applied Sciences and Advanced Technology Vol 4, No 3 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.4.3.87-92

Abstract

The TU-2A CNC machine is a turning machine tool that is controlled by a computer system through data (program input) in the form of letters and numbers. This machine is capable of producing a work piece with a complex shape and high accuracy, as well as the effectiveness of minimum production time. Gas stove nozzle is a form of work piece which in the manufacturing process is required to have a high level of effectiveness with high accuracy. The supporting factors in the manufacturing process are based on the selection of program functions and machining parameters (cutting speed, feeding, feeding speed and proper rotation of the main axis).In the process of making gas stove nozzles using a CNC TU – 2A machine, the parameter values used are cutting speed (Vs) 20 m/min, feeding 0.75 mm/put, feeding speed (s') 281 mm /min and the main axis rotation (n) 375 rpm.So from the parameters used, it is known that the total machining time per component (tm) = 5.4 minutes, the total production cost per component (Cprod) = Rp. 8,572, - and the total production time per component (t prod) = 7.6 minutes. The greater the value of the Dept of cut, feed and feeding speed, the production time and production costs that occur will decrease until they reach t = 2.6% and C = 2.3%.

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