Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Material, Manufaktur & Energi Communications in Science and Technology Jurnal Pengabdian Masyarakat Tjut Nyak Dhien
Armansyah GINTING
Department of Mechanical Engineering, Faculty of Engineering , University of Sumatera Utara, INDONESIA
Religion Aerospace Engineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Predictive mapping of surface roughness in turning of hardened AISI 4340 using carbide tools Ginting, Armansyah; Masyithah, Zuhrina
Communications in Science and Technology Vol 9 No 1 (2024)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.9.1.2024.1417

Abstract

This study presents a novel approach to predict surface roughness in the hard turning of AISI 4340 steel using carbide tools, aimed to develop a comprehensive predictive map. The hypothesis that surface roughness can be accurately predicted using a linear regression model was tested and confirmed. Experimental results showed surface roughness in the range of 1.946 to 5.636 microns. Statistical analysis revealed a normal distribution of surface roughness data with linear regression as the best-fit model, significantly determined by feed rate and explaining 98.41% of the variance. Machine learning validated this model, achieving high prediction accuracy (R² = 96.91%, MSE = 0.058, RMSE = 0.242). The innovative predictive map, created using a full factorial design, demonstrated a strong agreement between predicted and validated values. This work highlights the potential of integrating statistical and machine learning techniques for precise surface roughness prediction, recommending industrial validation to enhance machining productivity.
EnglishEducation on Making Liquid Fertilizer from Horse Urine at Berastagi Kuda Club Ginting, Nurzainah; Mirwandhono, R. Edhy; Ginting, Armansyah; Masythah, Zuhrina; Rahim, Norizan Baba
ABDIMASKU : Jurnal Pengabdian Masyarakat UTND Vol 4 No 2 (2025): Edisi Juli 2025 - Desember 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/jpmtnd.v4i2.1871

Abstract

Horse urin that is not collected at the Berastagi Fruit Market and Gundaling tourist sites is a complaint for tourists. The urin splattered on the asphalt causes a strong odor. In this service, education was conducted to horse owners to collect horse urin and process it into liquid organic fertilizer (POC). Urin is collected from horses at tourist sites and in stables to maximize the volume of urin so that more POC is produced. The urin is then fermented by adding local starter. POC from fermented horse urin contains good nutrition so that it is suitable as a plant fertilizer. This International Community Service Program (PKM Kolaborasi Internasional) is a service collaboration between the Universitas Sumatera Utara and Universiti Sains Malaysia aims to provide education and training to the community on the use of horse urin to become liquid fertilizer. The activities were carried out through a participatory approach, including counseling, presentation of making urin fermentation, as well as pre-test and post-test evaluations to measure the increase in participant knowledge. The results of the activity showed that there was an increase in participant knowledge after participating in the activity, as well as high enthusiasm from the community for liquid fertilizer. There is an economic opportunity to sell liquid fertilizer to tourists who come because this fertilizer is environmentally friendly.
Tinjauan Penggerudian Laser: Kemajuan, Teknik Optimasi, dan Aplikasi Nasution, Abdul Haris; Ginting, Armansyah
Rekayasa Material, Manufaktur dan Energi Vol 8, No 2: JULI 2025
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v8i2.25616

Abstract

This review paper presents a comprehensive analysis of laser drilling technologies, focusing on recent advancements, optimization techniques, and industrial applications. Laser drilling has emerged as a crucial non-conventional machining process for creating precise micro-holes in various materials, including composites, metals, ceramics, and silicon. The paper examines multiple aspects of laser drilling processes, including different laser types (CO2, Nd:YAG, fiber, femtosecond), optimization methodologies, and parameter influences on output quality characteristics. Special attention is given to challenges in drilling complex materials like Glass Fiber Reinforced Polymer (GFRP) composites, titanium alloys, stainless steel, and ceramic matrix composites. The review highlights optimization approaches such as Response Surface Methodology (RSM), Multi-Objective Genetic Algorithm (MOGA), and various metaheuristic algorithms including grey wolf optimizer. The paper also explores emerging techniques like water-assisted laser drilling, vector laser drilling, and laser-layered scanning that address limitations in conventional processes. Environmental and sustainability aspects are discussed, with emphasis on energy efficiency and reduced material waste. This review aims to provide researchers and industry practitioners with a comprehensive understanding of current laser drilling technologies, while identifying future research directions toward more efficient, sustainable, and high-quality laser drilling processes
Co-Authors Abd Haris Nasution Masythah, Zuhrina Mirwandhono, R. Edhy Nurzainah Ginting Rahim, Norizan Baba Zuhrina Masyithah