Claim Missing Document
Check
Articles

Found 33 Documents
Search

Bibliometric Analysis and Data Visualization: Life Cycle Assessment in Waste Management in the Textile Industry Febian, Tiara; Mansur, Agus
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38129

Abstract

This study aims to analyze the development of literature on the application of Life Cycle Assessment (LCA) in textile waste management through a bibliometric approach using the Scopus database for the period 2013–2024. The analysis employed VOSviewer to map publication trends, keywords, citations, and authorship collaborations. The findings reveal a significant increase in the number of publications since 2014, peaking at 298 in 2024 before declining to 138 in 2025. Publication distribution is dominated by the journal Sustainability (Switzerland) with 106 articles, followed by Polymers and Materials. The most cited article received 650 citations, focusing on the impacts of COVID-19 on the global economy and opportunities for circular economy strategies. Thematically, research shifted from conceptual studies (2010–2015) toward technical solutions such as fiber recycling, microplastic pollution, and nanomaterials (2016–2020), then advanced to circular fashion, eco-design, and sustainable material innovations (2021–2025). Future trends (2026–2030) are projected to emphasize the digitalization of LCA through AI, big data, blockchain, and textile industry decarbonization strategies. This study offers both theoretical and practical contributions by enriching sustainability literature and serving as a strategic reference for policy development and the implementation of environmentally sustainable practices in the textile industry. Keywords: Bibliometrics, Circular Economy, Textile Industry, Life Cycle Assessment (LCA), Sustainability
From resistance to adoption: A mixed-methods framework for successful manufacturing execution system implementation in digital transformation initiatives Sutra, Debi; Mansur, Agus
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15583

Abstract

This study develops an optimized change-management framework to mitigate Manufacturing Execution System (MES) 3.0 implementation failure by integrating quantitative and qualitative findings from the ADKAR model through a socio-technical lens. Using explanatory sequential mixed-methods design, quantitative data from 248 respondents were analyzed via multiple and moderated regression, followed by in-depth interviews with 10 key stakeholders analyzed in NVivo. The phases were triangulated using a socio-technical framework to identify systemic patterns. Quantitatively, employee resistance significantly moderated the relationship between ADKAR components and implementation failure (β = 0.657, p = 0.040), with awareness (β = −0.778, p = 0.000) and knowledge (β = −0.168, p = 0.012) showing significant negative effects. Qualitative findings revealed five major themes: multidimensional resistance (active 15%, passive 35%, concealed 20%, neutral 30%), ADKAR implementation gaps, systemic contextual factors, and mitigation strategies. Triangulation exposed hierarchical cultural barriers, digital-literacy gaps, and insufficient reinforcement mechanisms. We propose an integrated hexagonal socio-technical model with six components and 24 sub-elements: Goals (4), People (4), Infrastructure (4), Technology (4), Culture (4), and Processes (4) for sustainable MES 3.0 implementation. This study contributes empirical evidence of resistance as a moderator and provides actionable guidance for digital transformation in manufacturing organizations.
Blockchain Framework-Based on Halal Assurance System for the Beef Supply Chain Mansur, Agus; Zaki, Ardan; Ramadhan, Fadhil Adita
Journal of Halal Lifestyle and Sustainability Vol. 1 No. 2 (2025): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jhlshls

Abstract

This study aims to design a halal supply chain system integrated with blockchain technology to enhance transparency, traceability, and reliability in the halal certification process. The research addresses systemic limitations of Indonesia’s current halal assurance system, which depends heavily on human intervention and lacks integration among stakeholders. Using Oricow Meatshop Yogyakarta as a case study, the study employs an analytical and simulation-based approach, developing analytical designs, flow diagrams, and Data Flow Diagrams (DFD), and modeling the system through Causal Loop Diagrams (CLD) and Stock and Flow Diagrams (SFD) using Powersim software. The findings propose a consortium blockchain framework with a permissioned voting-based consensus mechanism to ensure data integrity and operational efficiency. The system integrates human and hardware oracles to verify halal-related data and record product movement, while smart contracts automate transaction verification based on halal certification standards. Simulation results show that blockchain implementation improves the halal assurance system’s performance, strengthens transparency, and increases consumer demand for halal products. Theoretically, this research contributes to the understanding of blockchain-based halal supply chains by connecting technological innovation with transparency and trust theories, demonstrating how blockchain mechanisms can be tailored to halal certification. Practically, it provides managerial insights for industry stakeholders to adopt blockchain as a digital infrastructure for credible and efficient halal certification management. However, the study’s scope is limited to a specific case and simulation framework, suggesting the need for broader empirical validation in future research.