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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Bio-Geo Material Dan Energi
zharif, Erza Arkan
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Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Simulasi Prediksi Penjualan Harian Menggunakan Metode Monte Carlo pada Usaha Roti Skala UMKM Romatona, Rika; Naylah, Sabikah Nur; Lubis, Baitul Maharani; Gajah, Tika; Yuhani, Yuhani; Maha, Bidara Jelita; zharif, Erza Arkan
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.v9i1.55835

Abstract

This study aims to apply the Monte Carlo simulation method to predict daily sales in a small-scale bakery enterprise to support risk-based production planning. The data used consisted of historical daily sales records analyzed to obtain statistical parameters, including mean and standard deviation. The results indicate that daily demand follows a normal distribution with an average of 151.73 units. A Monte Carlo simulation with 10,000 iterations was conducted to estimate the distribution of daily profit and associated risk levels. The findings show an average daily profit of IDR 199,029 with a 95% Value at Risk (VaR) of IDR 99,952. Furthermore, a positive correlation of 0.629 was identified between demand and profit. These results demonstrate that the Monte Carlo method is effective in modeling demand uncertainty and supporting more optimal and efficient production decision-making in micro and small enterprises.
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.
Analisis Pengaruh Komposisi Biomassa terhadap Karakteristik Pembakaran dan Stabilitas Energi Berbasis Data: Analisis Bibliometrik Zharif, Erza Arkan; Abdillah, Akbar; Praba, Lindi Cistia; Silmy, Muhammad Ashbar As; Dharmawangsa, Rafa Aditya; Septiawan, Bani; Lubis, Putri Bintang
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.57376

Abstract

The growing global demand for energy and the depletion of fossil fuel resources have accelerated the transition toward sustainable energy systems. Biomass has emerged as an important renewable energy source due to its abundance, carbon-neutral characteristics, and relatively stable energy supply. However, biomass has complex chemical compositions such as cellulose, hemicellulose, lignin, moisture, and ash, which significantly affect combustion characteristics and energy performance. This study analyzes the relationship between biomass composition, combustion characteristics, and energy stability using a bibliometric approach. A dataset of 3,521 scientific publications from the Scopus database (2021–2026) was analyzed using VOSviewer and Bibliometrix. The results show increasing research trends in biomass combustion and thermochemical processes. However, the integration between biomass composition and energy stability remains limited, indicating important opportunities for future interdisciplinary research in biomass-based energy systems.
Mapping Global Trends in Renewable Energy Research: A Bibliometric Analysis and Systematic Literature Review Zharif, Erza Arkan; Siswanto, Andika Prayoga; As-Silmy, Muhammad Ashbar; Septiawan, Bani; Lubis, Putri Bintang; Misnaini; Abdillah, Akbar
Jurnal Bio-Geo Material Dan Energi Vol. 6 No. 3 (2026): Journal of Bio-Geo Material and Energy (BiGME), June 2026
Publisher : PUI BiGME Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/j-bigme.v6i3.55611

Abstract

This study aims to analyze global research trends in renewable energy to support sustainable energy transition using a combined approach of Systematic Literature Review (SLR) based on PRISMA and bibliometric analysis. Data were collected from the Scopus database for the period 2022–2026, with a total of 2500 selected documents using a threshold-based selection method. The analysis was conducted using VOSviewer and Bibliometrix (RStudio) to map keyword networks, author collaborations, and publication distributions. The results indicate a significant increase in renewable energy research, with dominant themes including renewable energy, sustainable development, and alternative energy. The findings also reveal several major research clusters related to clean energy technologies and energy management systems. Research collaboration is dominated by countries such as China, the United States, and India. This study contributes by providing a comprehensive mapping of research trends and identifying future research opportunities to support the global sustainable energy transition
Co-Authors Abdillah, Akbar As-Silmy, Muhammad Ashbar Dharmawangsa, Rafa Aditya Gajah, Tika Lubis, Baitul Maharani Lubis, Putri Bintang Maha, Bidara Jelita Misnaini Mutiara, Tasya Dewi Najiha, Putri Naylah, Sabikah Nur Praba, Lindi Cistia Romatona, Rika Septiawan, Bani Silmy, Muhammad Ashbar As Siswanto, Andika Prayoga Yuhani, Yuhani