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Analisis Sifat Mekanik dan Penyerapan Air Komposit Polyester Berbasis Serat Alami Kus Andrianto, Sis Nanda; Maulana, Jibril; Sentosa Riyanto, Obaja Eden; Tsamroh, Dewi Izzatus; Nur Sasongko, Muhammad Ilman; Andromeda, Tata; Simangunsong, Rahel; Fahrozy, Muhammad Micho
Jurnal Mekanik Terapan Vol 6 No 3 (2025): Desember 2025
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/jmt.v6i3.7978

Abstract

Natural fibers are increasingly utilized as reinforcing materials in the modern materials industry. In this study, composites comprising 15% untreated coconut fiber, pineapple leaf fiber, palm fiber, corn husk fiber, or sugar cane fiber and 85% polyester were fabricated. Water absorption was evaluated by immersing the composites for 3, 7, 14, and 21 days. The tensile strength and morphology of unsoaked composites were also assessed to determine the influence of fiber type. Water absorption increased with immersion time for all composites, although the trends varied among fiber types. The coconut fiber composite exhibited the highest water absorption rate, whereas the pineapple leaf fiber composite demonstrated the lowest. The pineapple leaf fiber composite also achieved the highest tensile strength. In contrast, composites containing coconut fiber, palm fiber, corn husk fiber, and sugar cane fiber displayed lower tensile strength, attributed to imperfect interfacial bonding between the fibers and the polyester matrix.
An Examination of the Fe₃O₄ nanomaterial impact in conjunction with Magnetorheological Elastomer material Priyandoko, Gigih; Ubaidillah, Ubaidillah; Imaduddin, Fitrian; Suwandono, Purbo; Sasongko, Muhammad Ilman Nur
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.006

Abstract

Magnetorheological elastomer (MRE) is an advanced material class that can be used for vibration damping. This material possesses the ability to reduce vibration disturbances through adjustment of its mechanical properties in response to a magnetic field applied from an external source. The objective of this study is to ascertain the effect of incorporating Magnetite (Fe₃O₄) nanomaterials into MRE. It is expected that this new material will be more sensitive to magnetic fields in damping vibrations, which would be a significant improvement. MRE is composed of carbonyl iron powder (CIP), silicone oil, and silicone rubber, with weight proportions of 30%, 5%, and 65%, correspondingly. The addition of magnetite nanomaterials to MRE occurred at weight ratios of 0.5%, 1%, 1.5%, and 2%. Observations of this new material included elemental composition analysis and viscoelastic testing of various mixture formulations in the laboratory. From this research, it can be concluded that an MRE containing Fe₃O₄ nanomaterials has been created. For the attenuation of vibrations within the 1–100 Hz frequency range. MRE-2 (MRE with 0.5% Fe₃O₄ added) is the best choice as the primary material, as it exhibited the highest tan delta value and strong damping performance at an intermediate frequency. MRE-1 sample was used as a base material mixture without added Magnetite also an excellent choice, offering high stiffness and good damping capability at low frequencies. It is shown by the results of this experiment that the effectiveness of MRE in reducing vibration can be increased by adding Magnetite, even in the limited mid-frequency range of 0 to 100 Hz.
Comparative Analysis of Cost and Performance of Plastic Shredder Machines Using Heatmap-Based Scoring Maulana, Jibril; Tsamroh, Dewi 'Izzatus; Riyanto, Obaja Eden Sentosa; Widowati, Tamara Rahma; Sasongko, Muhammad Ilman Nur; Adrianto, Sis Nanda Kus; Lubis, Didin Zakariya
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.33929

Abstract

The growing problem of plastic waste requires innovative and sustainable solutions in terms of processing and recycling. One of the key technologies in the recycling process is the shredder machine, which serves to shred plastic waste into smaller sizes before further processing. However, in practice, industry players, especially at the microscale, often face a dilemma in choosing the optimal shredder machine between performance and cost aspects. This research aims to fill the gap by conducting a comparative analysis of three shredder designs based on price and technical performance criteria. The method used in this research involves quantitative measurements of vary in several key aspects, namely: physical dimensions (body area), frame length, transmission system (gearbox and/or clutch), storage capacity, chopper type, motor specifications (power), speed controller, additional features such as presser, foldability, and total price. Furthermore, the data was analyzed using a simple machine learning approach based on heatmap scoring with the help of Python libraries such as Pandas, Seaborn, and Matplotlib. The analysis results show that the 3rd design provides the best performance. This research contributes to data-driven decision making in shredder machine selection, with an approach that combines technical and economic aspects in an integrated manner. The findings are expected to serve as a reference for the development of efficient and sustainable waste plastic processing technology in the microscale industry sector.