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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.
Analisis Profitabilitas dan Risiko Operasional Restoran Ayam Bakar Menggunakan Simulasi Monte Carlo Silmy, Muhammad Ashbar As; Nasution, Muhammad Rizky Akbar; Adriansyah, Ryan; Atilasyah, Radith; Setiawan, Ryu Arfan
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.v9i1.55898

Abstract

This study aims to analyze the profitability and operational risk of a grilled chicken restaurant using a Monte Carlo simulation approach based on historical data from 2022–2026. The analyzed variables include number of customers, selling price, raw material cost, and fixed operational cost. A mathematical profit model was simulated through 10,000 iterations to obtain the probability distribution of daily profit. The results indicate an expected daily profit of approximately IDR 1.57 million with a very high probability of positive returns and minimal risk of loss. Correlation analysis reveals that price has a positive relationship with profit; however, the number of customers is identified as the most dominant factor influencing profitability. The stable convergence of the simulation confirms the reliability and validity of the model. These findings demonstrate that Monte Carlo simulation is an effective decision-support tool for financial feasibility evaluation and risk management in the culinary business sector.