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Prediksi Jumlah Mahasiswa Baru Program Studi Teknik Industri Universitas Al-Azhar Medan Menggunakan Simulasi Monte Carlo Septiawan, Bani; Misnaini, Misnaini; Ikhwan, Muhammad; Praba, Lindi Cistia; Abdillah, Ilham Basith; Ramadhan, Muhammad Dzikri
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.v9i1.55923

Abstract

This study aims to forecast the number of incoming students in the Industrial Engineering Program at Al-Azhar University Medan using Monte Carlo simulation as a probability-based approach. Historical enrollment data from 2023–2025 were utilized to construct an empirical probability distribution, totaling 180 students. The research procedure includes probability calculation, cumulative probability determination, establishment of random number intervals on a 01–100 scale, and generation of pseudo-random numbers using the Mixed Congruential Random Number Generator (MCRNG) with parameters satisfying the Hull-Dobell theorem. A total of 1,000 simulation iterations were performed to obtain a stable output distribution. The results indicate that simulated probabilities closely approximate theoretical values: 15.00% (2023), 35.00% (2024), and 50.00% (2025), with an average absolute deviation of 0.0037. Based on the probabilistic pattern and historical growth trend, the projected enrollment for 2026 is estimated at 90–95 students. These findings demonstrate that Monte Carlo simulation is an effective tool for data-driven academic planning.
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.