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All Journal Jurnal Teknoin OPSI SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Ilmiah Teknik Industri Heuristic PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Applied Industrial Engineering Journal Jurnal DISPROTEK Angkasa: Jurnal Ilmiah Bidang Teknologi Jurnal INTECH Teknik Industri Universitas Serang Raya Refleksi Pembelajaran Inovatif Jurnal Rekayasa Industri (JRI) International Journal of Industrial Optimization (IJIO) Dinamika Kerajinan dan Batik : MAJALAH ILMIAH Journal of Applied Data Sciences Telaah Bisnis Jurnal Teknologi dan Manajemen Industri Terapan SENTRI: Jurnal Riset Ilmiah Advance Sustainable Science, Engineering and Technology (ASSET) Spektrum Industri Journal of Halal Lifestyle and Sustainability Dinamika Kerajinan dan Batik: Majalah Ilmiah
Agus Mansur, Agus
Teknik Industri, Fakultas Teknologi Industri, Universitas Islam Indonesia
Aerospace Engineering Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation Other

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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.
Strategi Peningkatan Sustainable Supply Chain Performance pada Perusahaan Remanufaktur Melalui Sustainable Value Stream Mapping (SUS-VSM) Ulfah, Ade Meutia; Mansur, Agus
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 2 (2026): SENTRI : Jurnal Riset Ilmiah, Februari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i2.5601

Abstract

: In the era of globalization and rapid technological development, companies are required to remain competitive while addressing the social and environmental impacts of their business activities. This condition has encouraged the adoption of Sustainable Supply Chain Management (SSCM), which emphasizes not only efficiency and profitability but also sustainability. Remanufacturing, as part of the circular economy, offers a strategic solution by reducing waste, conserving resources, and preserving product value. This study aims to evaluate the SSCM performance of PT Komatsu Remanufacturing Asia using Sustainable Value Stream Mapping (Sus-VSM) integrated with the Analytical Hierarchy Process (AHP). A field study approach was employed through direct observation, interviews, and the collection of primary and secondary data. Sustainability metrics were developed based on a literature review and validated using AHP, supported by consistency, validity, and reliability testing. The results indicate that the company’s SSCM performance is classified as Moderately Good, with a sustainability index score of 77. Environmental and social dimensions demonstrate relatively strong performance, while the economic dimension requires further improvement, particularly in lead time reduction, Overall Equipment Effectiveness (OEE), water-use efficiency, and solid waste management. These findings highlight the importance of Sus-VSM as a comprehensive evaluation tool to support continuous sustainability improvement in remanufacturing supply chains.
Utilizing PLS-SEM and NCA for Understanding Workforce Performance Dicky Suryapranatha; Agus Mansur; Imam Djati Widodo
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 2 (2026): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i2.4007

Abstract

This study explores workforce performance in AI-driven environments where individuals operate under dual-role conditions. Existing studies emphasize technological factors while neglecting human behavioral constraints and the distinction between sufficient and necessary conditions. This study addresses this gap by integrating Partial Least Squares Structural Equation Modeling and Necessary Condition Analysis to identify both enabling and limiting factors. Data were collected from 200 manufacturing workers in Indonesia. The results show that engagement level is the main driver of performance (β = 0.519), while self-regulation capability has a strong effect (β = 0.345). NCA revealed that self-regulation capability is the key necessary condition and main bottleneck (d = 0.189), indicating that high performance cannot be achieved without a minimum threshold. AI system support acts as an enabling factor (d = 0.166), while digital capability shows a weak effect (d = 0.065). These findings highlight that performance is not only driven by engagement but is constrained by self-regulatory capabilities. Future research should extend this model using longitudinal data, multi-sector analysis, and additional variables such as organizational support and system complexity to improve model generalizability and robustness
Co-Authors Adita Ramadhan, Fadhil Agus Haerudin Agus Haerudin, Agus Andivas, Marulan Annisa Indah Pratiwi Ari Subowo Aswan Munang Aulia, Baiq Putri Rizka Ayudyah Eka Apsari Basuki, Demas Emirbuwono Cahyo, Winda Nur Choi, Wonsik Dicky Suryapranatha Elquthb, Jundi Nourfateha Euis Laela Evin K. Prasetia Adi Fadhil Adita Ramadhan Faisal RM Faisal RM, Faisal Febian, Tiara Febriani, Atik Hari Purnomo Haswika Haswika Herawan, Fredi Imam Djati Widodo Isnaini Isnaini Isnaini Laela, Euis Laela, Euis Marwan Tangahu Meilinda F. N. Maghfiroh Meilinda F. N. Maghfiroh Mirga Maulana Rachmadhani Muhammad Akbar Palakbiran Muhammad Ridwan Andi Purnomo Muhammad Rifki Prawibowo, Syafa Thania Rabbani, Muhammad Rayhan Ramadhan, Fadhil Adita Ramadhan, Fadhil Adita Ramadhan Rastiti Ratnasari Razel Thimoty Ridho Dimas Sofwan Rindang Rayo Ranas Rindang Rayo Ranas, Rindang Rayo Suaib, Robih Alfian Hastrianda Sutra, Debi Syafa Thania Prawibowo Taufiq Immawan, Taufiq Tiara Febian Ulfah, Ade Meutia Wahyudi Sutrino Windi Auliana Yulistiyanto , Mohamad Tri Angga Zaki, Ardan