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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN)
Ramadhan, Muhammad Dzikri
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Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Analisis Pengembangan Material Komposit Berbasis Serat Alam untuk Aplikasi Rekayasa Struktur Modern Anwar, Muhammad Khairul; Adillah, 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.v9i1.55082

Abstract

This study aims to ignite the potential of using ramie fiber (Boehmeria nivea) as an alternative composite reinforcement material in supporting the Green Manufacturing trend. The main problem in using natural fiber is the low interfacial bond due to the natural wax layer on the fiber surface. Through a theoretical analysis and benchmarking approach, this study reviews the effectiveness of alkali treatment (NaOH) and the modern manufacturing method Vacuum Assisted Resin Infusion (VARI). The analysis results show that surface engineering through alkalization is theoretically able to increase the microscopic roughness of the fiber which is crucial for mechanical interlocking with the matrix. The benchmarking results show that the ramie composite has a density that is 40% lighter than glass fiber (E-glass), with a competitive specific strength. It is concluded that the integration of ramie fiber and the VARI method offers a lightweight, quality-stable, and sustainable material solution for implementation in future industrial structures. 
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.
Co-Authors Abdillah, Ilham Basith Adillah, Ilham Basith Anwar, Muhammad Khairul Misnaini, Misnaini Muhammad Ikhwan Praba, Lindi Cistia Septiawan, Bani