Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal International Journal of Advances in Intelligent Informatics Jurnal Polimesin
Noor, Muhamad Mat
Unknown Affiliation
Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Leveraging hybrid ANN–AHP to optimize cement industry average inventory levels Fradinata, Edy; Noor, Muhamad Mat; Kesuma, Zurnila Marli; Suthummanon, Sakesun; Asmadi, Didi
International Journal of Advances in Intelligent Informatics Vol 10, No 1 (2024): February 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v10i1.631

Abstract

In recent years, inventory has been critical due to the production cost and overstock risk related to the expiration date and the fluctuation price risk. This study's minimization of overstock and price fluctuation in the warehouse used a hybridized artificial neural network (ANN) and analytical hierarchy process (AHP) to produce an optimum model. The variables, such as average demand, reorder point, order quantity, factor service level, safety stock, and average inventory level, were used to obtain the optimal condition of the average inventory levels to maximize the profit. Then, the type of inventory system that guarantees the minimum risks in managing the inventory would be selected. The result shows that the data has a mean of 39.2 units, and the standard deviation (SD) was 12.9. This means that the order quantity is 20.2 units, the average inventory level is 57.3, and the average demand is 39. These conditions used the factor z, which is 97% service level. This study concludes that the optimum average inventory level is 91 units, the order quantity is 11 units with the maximum average profit is $1098, and the peak fluctuation condition maximum profit is $1463 when the average inventory level is 7.3, and the inventory policy system used to minimize the risk is the continuous review policy type. The study could be beneficial to reduce production costs and enhance overall profitability and operational efficiency in the sector by mitigating the risks associated with excessive inventory and price volatility while also minimizing the potential for expired inventory.
The Simulation Of Drop-Weight Impact Test On Ramie-Eglass Hybrid Fiber Composite For Jaloe Kayoh Wall Material Tamlicha, akram; Rizal, Samsul; Hasanuddin, Iskandar; Noor, Muhamad Mat; Ikramullah, Ikramullah; Nazaruddin, Nazaruddin
Jurnal Polimesin Vol 22, No 1 (2024): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i1.4645

Abstract

The purpose of this study is to simulate drop-weight impact tests on hybrid fibre composites made of ramie and Eglass, which are used to make the traditional Acehnese boat wall material for jaloe kayoh. Using composites of ramie-Eglass fiber hybrid in the construction of jaloe kayoh wall material will significantly enhance the strength, durability, and sustainability of traditional Acehnese boats. The simulation was carried out using the finite element method approach using the Abaqus software. Three distinct laminate layer configurations—three layers (GRG), five layers (GRGRG), and six layers (GRGGRG)—with alternating Eglass and ramie fibres make up the test specimens. The ends of the specimen are set with fixed support to ensure boundary conditions, which limit all active structural degrees of freedom on all sides of the specimen. According to simulation results, the specimen with six laminate layers, measuring 12.498 mm, had the largest displacement. The specimen with six laminate layers has the highest stress concentration, measured at 560.6 MPa, while the specimen with three layers has the highest strain concentration, measured at 0.023. Its indicating that the lamina variation can influence the structural performance of the jaloe kayoh material. This research contributes to understanding the potential of ramie-Eglass hybrid fiber composites to enhance the safety and durability of traditional vessels such as jaloe kayoh. The implications of the results can serve as a foundation for the development of superior structural materials in the future.
Co-Authors Asmadi, Didi Fradinata, Edy Hasanuddin, Iskandar Ikramullah, Ikramullah N. Nazaruddin Samsul Rizal Suthummanon, Sakesun Tamlicha, Akram Zurnila Marli Kesuma