Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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All Journal Sprocket : Journal of Mechanical Engineering Jurnal Teknik Industri Terintegrasi (JUTIN)
Mutiara, Tasya Dewi
Unknown Affiliation
Automotive Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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A Mapping Research Trends in Material Science Analysis for Automotive Emission Control: A Global Bibliometric Study *, Bintang; Mutiara, Tasya Dewi; Setiawan, Ryu Arfan
SPROCKET JOURNAL OF MECHANICAL ENGINEERING Vol 7 No 2 (2026): Edisi Februari 2026
Publisher : Program Studi Teknik Mesin, Universitas HKBP Nommensen, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36655/sprocket.v7i2.2158

Abstract

This study aims to map the development and research trends in the field of material science for automotive emission control through a bibliometric analysis approach. Data were obtained from the Scopus database, consisting of 413 documents published between 2021 and 2026, limited to the Materials Science subject area and English-language publications. The analysis employed VOSviewer software to identify collaboration patterns, keyword distributions, and major research themes. Results indicate that research is dominated by topics such as automotive industry, emission control, greenhouse gases, and life cycle assessment. The publication trend remains stable with a growing emphasis on sustainability and energy efficiency. Overall, this study highlights the crucial role of material science in supporting the development of cleaner, more efficient, and environmentally friendly automotive technologies.
Simulasi Monte Carlo untuk Analisis Kinerja Sistem Antrian pada Operasional Coffee Shop Skala Kecil Zharif, Erza Arkan; Lubis, Putri Bintang; Najiha, Putri; Abdillah, Akbar; Mutiara, Tasya Dewi
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.v9i1.55849

Abstract

This study aims to analyze the performance of a queueing system in a small-scale coffee shop operation using the Monte Carlo simulation method based on historical data from 2022–2026. Coffee shop operations exhibit stochastic characteristics influenced by fluctuations in customer arrivals and service time variability. Data on daily visitors, revenue, cost, and profit were processed using Microsoft Excel to construct empirical probability distributions. The simulation was executed through thousands of iterations to ensure statistical stability. The results indicate that the model effectively captures operational uncertainty, with convergent average daily profit and measurable downside risk assessed through percentile analysis and Value at Risk (VaR). The findings provide an analytical foundation for managerial decision-making regarding service capacity and cost control strategies. Monte Carlo simulation proves to be an effective tool for performance evaluation and risk management in small-scale service businesses.
Co-Authors *, Bintang Abdillah, Akbar Lubis, Putri Bintang Najiha, Putri Setiawan, Ryu Arfan zharif, Erza Arkan