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All Journal Jurnal Teknoin OPSI SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Ilmiah Teknik Industri Heuristic Jurnal Sistem dan Manajemen Industri 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 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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Strategi Peningkatan Sustainable Supply Chain Performance pada Perusahaan Remanufaktur Melalui Sustainable Value Stream Mapping (SUS-VSM) Ade Meutia Ulfah; Agus Mansur
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.
Collaborative digital marketing and supply chain management for micro, small and medium enterprises Agus Mansur; Razel Thimoty; Syafa Thania Prawibowo; Wahyudi Sutrino; Fadhil Adita Ramadhan; Tiara Febian
International Journal of Industrial Optimization Vol. 6 No. 2 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v6i2.11739

Abstract

This study explores specific supply chain challenges faced by Batik Ayu Arimbi, a small-scale business in the batik industry, particularly how the manual calculations in its make-to-stock system impact its financial accuracy and operational efficiency. The company has been experiencing financial losses due to these inaccuracies. To address these issues, this research proposes improvements in supply chain management by implementing Business Process Model Notation (BPMN) to streamline process visualization and coordination among the artisans, showrooms, and production houses. The use of digital marketing platforms, particularly Instagram, is also suggested to optimize marketing efforts and achieve sales targets. This study contributes to the literature by emphasizing novel BPMN implementation aspects and demonstrating the effectiveness of digital marketing for MSMEs in the textile sector. The qualitative data was collected through semi-structured interviews, which provided insights into current practices and areas for improvement. The findings show that increased cooperation between supply chain actors reduces inventory errors by 20% and increases the accuracy of financial tracking by 15%, thereby reducing operational risks. Furthermore, the digital marketing strategies increased customer engagement rates by 25%, directly contributing to sales growth. The findings further suggest that the proposed solutions not only resolve the identified problems but also provide a scalable model for enhancing resilience in Batik Ayu Arimbi’s supply chain operations as one of MSMEs. In conclusion, boosting sustainability and performance in MSMEs requires improved supply chain collaboration and the strategic application of digital tools.
Integration of fuzzy SERVQUAL and TRIZ models in service quality method Windi Auliana; Agus Mansur; Muhamad Imron Zamzani; Haswika Haswika; Siti Balkis Mohamed Ibrahim
Jurnal Sistem dan Manajemen Industri Vol. 10 No. 1 (2026): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v10i1.11217

Abstract

Quality service in the field of Occupational Safety and Health (OSH) training is an important factor in supporting effective learning and participant success in the certification process. This study evaluates the quality of OSH training services and proposes solutions to enhance participant satisfaction using PT FTI as a case study. Fuzzy SERVQUAL and TRIZ methodologies were combined to identify inconsistencies between participants’ expectations and perceptions across five dimensions of service quality: physical form, reliability, responsiveness, assurance, and empathy. The results showed three attributes with the highest negative gaps: lack of even-handed attention, unclear information delivery, and perceived irrelevance of training materials. Based on TRIZ principles, the study proposes innovative solutions, such as hybrid training (online and offline), increased information transparency, separation of knowledge and skills evaluation, and rearranging materials to make them more contextual. The combined use of fuzzy SERVQUAL and TRIZ offers a systematic and effective strategy for analyzing and improving training quality.
Risk Mitigation Strategies for Sustainable Poultry Supply Chain Management Haswika; Agus Mansur; Meilinda F. N. Maghfiroh
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.997

Abstract

The livestock sector is an important pillar in providing animal protein and sustaining the rural economy. However, the sector faces major challenges from environmental and socio-economic issues, such as climate change and environmental degradation, which can threaten its sustainability. Negative impacts such as environmental contamination can reduce production quality and quantity and increase supply chain operational costs. This study aims to identify effective risk mitigation strategies to reduce these negative impacts and improve the sustainability of supply chain management. Data were collected from laying duck farms and analyzed using the House of Risk (HOR) method with a Phase 1 and 2 approach. This approach allows the identification of the most critical risks and risk agents and mapping mitigation priorities. Key findings indicate that providing drugs or vaccines to prevent animal virus outbreaks is the highest priority mitigation strategy, while strategic policy decision-making has the lowest priority. Overall, 15 risks and 21 risk agents were identified. This study implies that the implementation of effective mitigation strategies can significantly reduce operational risks, strengthen the resilience of the livestock sector, and support the sustainability of supply chain management as a whole.
Mapping Sustainable Logistics through the DPSIR Framework: A PRISMA-Guided Systematic Literature Review and Evidence Synthesis Case Study: Logistic Service Provider Muhammad Rizqy Abdurrahman Assyifa; Agus Mansur; Elisa Kusrini; Muhammad Ridwan Andi Purnomo
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i3.4012

Abstract

This study charts the current state of sustainable logistics by using the Drivers–Pressures–State–Impacts–Responses (DPSIR) framework to a five-year collection of peer-reviewed research, focusing on logistics service providers (LSPs) as the operational facilitators of transportation, storage, and delivery. Eligible records are first categorized into DPSIR schema codes, then integrated into a unified indicator system, and ultimately consolidated to reveal prominent trends and identifiable areas for improvement. The 80-20 retention principle guides a priority rule, where the minimal set of components whose collective impact totals 80 percent is designated as the core signal, and the remaining 20 percent is recorded for transparency without compromising inference. The synthesis shows that digitalization and carbon efficiency act as main drivers, although emissions constraints, transport burdens, and disruption risk remain significant pressures; ongoing effects include energy inefficiency and public health externalities. Effective responses center on sustainable practices that conserve energy, full digital transparency, process refinement, decision-making guided by data, and the ability to recover from disruptions. In this portfolio, Logistic Service Providers have a key function in translating policy goals into actual governance by facilitating data pipelines that can communicate with one another, near-real-time monitoring, and standardized operating procedures among partners. The review provides a plan for implementation that connects results to quantifiable state metrics and feasible responses, enabling the prioritization of high-impact interventions, synchronization of monitoring with policy goals, and phased investment choices under changing constraints, particularly through LSP-led coordination
AI-Based Decision Support System for Learning Growth Performance Workforce Use Certainty Factor and Constraint Evaluation Dicky Suryapranatha; Agus Mansur; Imam Djati Widodo
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.3719

Abstract

This study presents the design and computational evaluation of an AI-based decision support system for workforce performance in an AI-driven environment under constrained conditions. Previous research has largely emphasized technological determinants and adequate conditions, while neglecting the constraint mechanisms that limit achievable performance. To address this gap, this study integrates Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA) into a unified computational framework. Empirical data from 200 manufacturing workers was used to derive model parameters. The results identified Engagement Level as a key performance driver (β = 0.519), while Self-Regulation Ability emerged as a critical constraint (d = 0.189). These findings were operationalized into a Certainty Factor-based expert system that models performance as a function of positive contribution, negative influence, and constraint thresholds. The proposed model was evaluated using classification metrics, achieving 87% accuracy, 0.85 precision, 0.86 recall, and an F1-score of 0.85. The results demonstrate strong predictive capabilities and confirm that performance is jointly determined by enabling and constraining factors. This study contributes by bridging statistical analysis and AI system design, providing a constraint-aware decision support model for performance evaluation in complex operational environments.
Co-Authors Ade Meutia Ulfah 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 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 Haswika Herawan, Fredi Imam Djati Widodo Isnaini Isnaini Isnaini Kusrini, Elisa Laela, Euis Laela, Euis Marwan Tangahu Meilinda F. N. Maghfiroh Mirga Maulana Rachmadhani Muhamad Imron Zamzani Muhammad Akbar Palakbiran Muhammad Ridwan Andi Purnomo Muhammad Rifki Muhammad Rizqy Abdurrahman Assyifa 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 Siti Balkis Mohamed Ibrahim Suaib, Robih Alfian Hastrianda Sutra, Debi Syafa Thania Prawibowo Taufiq Immawan, Taufiq Tiara Febian Wahyudi Sutrino Windi Auliana Yulistiyanto , Mohamad Tri Angga