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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Informatika Universitas Pamulang ASEAN Journal for Science and Engineering in Materials
M. N. Mohammed
Gulf University
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Design and Development Early Detection of Neurodegenerative Disease Using IoT Technology Safira Faizah; Dian Nugraha; M. N. Mohammed; Muhammad Irsyad Abdullah
Jurnal Informatika Universitas Pamulang Vol 8, No 2 (2023): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v8i2.32842

Abstract

Parkinson's disease (PD) stands as one of the most prevalent conditions, impacting approximately 6.3 million individuals globally. This disorder becomes even more complex due to commonly associated non-motor symptoms like depression, cognitive impairments, and disruptions in sleep patterns. The root of PD remains largely unclear as a significant portion of cases lack a specific cause. In the initial phases of the illness, prominent indicators encompass tremors, rigidity, slowed motion, and difficulties in mobility. Presently, patients are obligated to have appointments with their medical practitioner at intervals of six months to a year, typically for brief consultations. The visit to the medical facility offers a limited glimpse into the patient's state, frequently failing to capture the day-to-day obstacles they encounter. The current evaluation methods are insufficient in comprehending this matter. This highlights the significance of promptly identifying PD, as it allows for the early implementation of treatment measures and management tactics. Additionally, this suggested approach contributes to the enhancement of human life within the healthcare framework and holds the potential to identify Parkinson’s disease swiftly and precisely.
Distribution Transformer Synchronization Simulation with Two Different Vector Groups using the Matlab Simulink Brainvendra Widi Dionova; Taopik Hidayat; Sinka Wilyanti; M. N. Mohammed
JURNAL NASIONAL TEKNIK ELEKTRO Vol 11, No 3: November 2022
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v11n3.1041.2022

Abstract

Nowadays, the quality of electrical energy really needs to be improved especially for industrial purposes that require a good level of reliability in the distribution of electrical energy. Maintenance of distribution transformers is routinely carried out to ensure that the quality of electrical energy produced is in accordance with standards. This maintenance is done using the customer’s load from the distribution transformer to the mobile substation transformer, that can be done using synchronization. This synchronization requires the same distribution transformer vector groups, otherwise it will produce non-standard output. The aim of this research is to determine the vector groups effect on parallel transformer installation system, the method to overcome the synchronous problem of different vector groups based on simulating and testing the synchronization of a 20 / 0.4 kV distribution transformer with the Dyn5 and Dyn11 vector groups. The results obtained from this research are two transformers that have different vector groups can be synchronized with an abnormal connection (changing the position of the secondary terminal cable connection and the primary terminal cable) so that it will produce the same voltage phase. This will abnormal treatment of distribution transformers maintenance that do not have a back-up transformer with the same vector group still can use the different vector group transformers.
ASTM F75 Alloys: A Systematic Review of Microstructural Characteristics and Manufacturing Advances from Conventional to Laser-Based Techniques with Bibliometric Analysis Raghad Ahmed Al-Aloosi; Wisam T. Abbood; Enas A. Khalid; Wassan S. Abd Al-Sahb; Nazar Kais Al-Karkhi; Oday I. Abdullah; Somer Nacy; Adawiya J. Haider; M. N. Mohammed
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

This study provides a systematic and bibliometric review of ASTM F75 cobalt–chromium alloys, focusing on microstructure and the shift from conventional to laser-based manufacturing. Using combined analytical methods, it evaluates microstructure, mechanical properties, corrosion behavior, and biocompatibility. Results show that laser-based techniques such as LPBF and DMLS produce finer grain sizes (1–10 µm vs. 50–200 µm), leading to improved hardness (20–40%) and tensile strength (15–30%). Despite challenges like residual stress and process optimization, these methods show strong potential for high-performance and sustainable applications.
Co-Authors Adawiya J. Haider Brainvendra Widi Dionova Dian Nugraha Enas A. Khalid Faizah, Safira Muhammad Irsyad Abdullah Nazar Kais Al-Karkhi Oday I. Abdullah Raghad Ahmed Al-Aloosi Sinka Wilyanti Somer Nacy Taopik Hidayat Wassan S. Abd Al-Sahb Wisam T. Abbood