Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik Terapan (J-TETA) Jurnal Sistem Transportasi & Logistik
Arifa’i, Achmad Muhyidin
Unknown Affiliation
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Model Green Logistik Pada Proses Industri Dan Penggunaan Produk (LPPU) Di Industri Semen Untuk Menurunkan Emisi Karbon Dioksida Noviansyah, Denny; Mada, Danie Hayam; Sholihah, Sita Aniisah; Arifa’i, Achmad Muhyidin; Yasir, Angel Farahnia
Jurnal Sistem Transportasi & Logistik Vol. 4 No. 1 (2024): Agustus
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/jstl.v4i1.2409

Abstract

In the current development of globalization, one of the industrial sectors that continues to grow every year is the cement industry because cement is the main material in the construction process. Research institutions state that cement contributes around 8% of the world's carbon dioxide (CO2) emissions and the largest comes from industrial processes and product use (IPPU) so that the concept of environmentally friendly logistics can be implemented to reduce CO2 emissions. This study uses the Dynamic System method. The results of the study show that the use of alternative raw materials and alternative fuels can reduce CO2 emissions generated from the cement production process. This is evidenced by the results of the first scenario, namely Business as Usual, which is 334.90 KgCO2, then decreased by 38.2% or to 207.02 KgCO2 in the second scenario, namely the use of alternative raw materials, and in the third scenario, namely the use of alternative fuels, it also decreased by 68.9% or to 100.88 KgCO2.
Konstruksi Melalui Identifikasi Perilaku Tidak Aman Berbasis Matriks Risiko Muchtar, Andi Marwa; Arifa’i, Achmad Muhyidin
Jurnal Teknik Terapan Vol. 4 No. 2 (2025): Oktober
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jteta.v4i2.118

Abstract

The construction industry remains one of the sectors with the highest occupational accident rates, particularly in large-scale infrastructure projects characterized by complex operations, work at height, heavy equipment utilization, and strict schedule pressures. Unsafe behavior has been widely recognized as a critical contributor to construction accidents; however, quantitative prioritization of such behaviors based on risk levels remains limited. This study aims to identify dominant unsafe behaviors and evaluate their risk levels using a likelihood–severity risk matrix approach within a large-scale construction project. A quantitative cross-sectional survey was conducted involving 96 construction workers. Thirty-eight unsafe behavior indicators were assessed using a five-point Likelihood (L) and Severity (C) scale based on standard risk management principles. Risk levels were calculated using the equation R = L x C, and subsequently classified into low, moderate, high, and extreme categories. The findings indicate that while most unsafe behaviors fall within the moderate risk category, seven indicators were classified as high risk and one indicator reached the extreme risk level. The highest risk was associated with leaving electrical cables exposed or unprotected, followed by fatigue-related behaviors and non-compliance with basic safety procedures such as working without personal protective equipment and inadequate fall protection. These results confirm that unsafe behavior functions as a leading indicator of occupational risk and should be systematically quantified to support priority-based risk control. The study concludes that integrating behavioral risk assessment into risk management frameworks enhances evidence-based decision-making and strengthens safety performance in construction projects.
Co-Authors Mada, Danie Hayam Muchtar, Andi Marwa Noviansyah, Denny Sholihah, Sita Aniisah Yasir, Angel Farahnia