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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Industri dan Teknologi Samawa (JITSA)
Nasution, Rafa Adhitya Dharmawangsa
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Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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ANALISIS PENAMBAHAN NANO-REINFORCEMENT BERBASIS LIMBAH INDUSTRI TERHADAP KETAHANAN AUS DAN FATIGUE METAL MATRIX COMPOSITE BERBASIS DATA : BIBLIOMETRIC ANALYSIS Nasution, Rafa Adhitya Dharmawangsa; Lubis, Hasyim Fadillah; M Ridho Rahman HSB
JURNAL INDUSTRI DAN TEKNOLOGI SAMAWA Vol 7 No 1 (2026): EDISI 13
Publisher : Program Studi Teknik Industri Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jitsa.v7i1.7108

Abstract

This study aims to analyze the research development related to the addition of industrial waste-based nano-reinforcements on the wear and fatigue resistance of metal matrix composites (MMC) through a bibliometric approach. Data were obtained from the Scopus database covering the years 2022–2025, limited to the Engineering subject area, Article document type, and English language. A total of 471 publications were analyzed using VOSviewer and SciMAT software to identify research trends, scientific collaborations, and dominant thematic clusters in this field. The results indicate a significant increase in publication numbers each year, reflecting growing attention toward sustainable composite materials. Keyword mapping visualization revealed five major clusters focusing on tribological property enhancement, graphene-based and cellulose-based nanofillers, and fabrication processes through powder metallurgy. Thematic mapping positioned reinforcement, tensile strength, and metallic matrix composites as motor themes driving this research domain. Overall, the findings emphasize that utilizing industrial waste as a nano-reinforcement material holds great potential to support the development of green MMCs with improved wear and fatigue resistance, illustrating a global research direction toward eco-friendly and resource-efficient materials.
Optimasi Persediaan Toko Mainan Menggunakan Simulasi Monte Carlo untuk Menghadapi Ketidakpastian Permintaan Musiman Nasution, Rafa Adhitya Dharmawangsa; Pramana, Yoddis; Lubis, Hasyim Fadhillah; Hasibuan, Ridho Rahman; Anwar, Khairul
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.55900

Abstract

This study aims to optimize inventory policy in a toy retail store facing seasonal demand uncertainty using Monte Carlo simulation. Fluctuating demand often leads to overstock and stockout risks, increasing holding costs and potential lost sales. Historical daily demand data were used to construct a probabilistic model, followed by 10,000 simulation iterations to generate the probability distribution of total inventory costs. The cost model consists of holding costs and shortage costs. The simulation results indicate that total cost follows a probabilistic distribution and that an optimal reorder point exists to minimize the expected total cost. Sensitivity analysis confirms the trade-off between holding and shortage costs. The findings demonstrate that Monte Carlo simulation effectively supports adaptive, risk-based, and efficient inventory decision-making for small-scale retail businesses.
Co-Authors Hasibuan, Ridho Rahman Khairul Anwar Lubis, Hasyim Fadhillah Lubis, Hasyim Fadillah M Ridho Rahman HSB Pramana, Yoddis