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Fandy Bestario Harlan
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Journal of Collaborative Industrial Management
Published by PT Publika Bersama Nusantara
ISSN : -     EISSN : 3109371X     DOI : -
Core Subject : Education, Social, Engineering,
Industrial & Manufacturing Engineering Social Sciences Other
Journal of Collaborative Industrial Management is a scholarly publication that presents research and studies on collaborative practices and innovations in the field of industrial management. The journal serves as a platform for interdisciplinary approaches, industry-academia partnerships, and collaborative strategies within industrial and supply chain environments. Topics covered include collaborative production planning and control, lean and agile manufacturing, industrial project management, and integrated industrial systems. It also emphasizes the importance of technology and innovation management in enhancing industrial efficiency and competitiveness. In the area of logistics and supply chain management, the journal explores themes such as supply chain collaboration, logistics network optimization, and sustainable practices. It highlights the impact of digital transformation, smart manufacturing, and Industry 4.0, while also addressing risk management and industrial safety. Strategic topics include industrial partnerships, public-private collaboration models, knowledge sharing, and collaborative decision-making. Through these areas, JCIM provides a vital platform for researchers, professionals, and practitioners to share insights, theories, and best practices that support the development of sustainable and collaborative approaches in industrial and supply chain operations. Journal Title : Journal of Collaborative Industrial Management Initial : JCIM Frequency : 2 issues every year ; December and June Online ISSN : 3109-371X Editor-in-Chief : Fandy Bestario Harlan, S.T., M.MT Publisher : PT Publika Bersama Nusantara
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Relasi Industri
Articles 29 Documents
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Technological Advancements and Implementation Barriers in Clean Coal Utilization: A Systematic Review with Indonesian Case Insights Muhammad Tri Aditya; Gunawan, Fajar Bagus
Journal of Collaborative Industrial Management (JCIM) Vol. 1 No. 4 (2025): Journal of Collaborative Industrial Management
Publisher : Publika Bersama Nusantara

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Abstract

Coal still plays a major role in Indonesia's energy mix, accounting for approximately 40% of the national primary energy mix in 2024., while low-emission technologies are becoming dominant in the world. In this study, a Systematic Literature Review (SLR) was performed to conduct an evaluation of technological developments and implementation challenges on the clean coal utilization which include gasification, clean combustion systems, activated carbon production and valorization of coal residues (fly ash and bottom ash) from both international view as well as Indonesian perspective. All international and national peer-reviewed articles (published between 2014–2024) were reviewed to analyze trends, gaps, and technical readiness. It is found that coal gasification technology provides the highest energy conversion efficiency of up to nearly 75%, and can cut carbon emissions by 40–60% in comparison to traditional combustion. On the other hand, fly ash and bottom ash utilization of for example 20 million tonnes per year could save up to around Indonesia’s coal power waste generation as well as support circular economy goals. There are still barriers to the adoption of this technology such as high investment costs ($1.2–1.5 million/MW), medium moisture in low rank coal (>30%) and small-scale pilot projects at industrial level. Lessons learnt This article reiterates that R&D needs the backing of fiscal incentives, demo plants and regulatory frameworks to hasten the sustainable deployment of CCTs in Indonesia
Analysis of Operational Material Management Strategies to Avoid Overstock and Stockout in Packaging Inventory at Electronic Manufacturer Company Siregar, Sonya; Wirawan, Adhitomo; Arif, Muhammad; Fajrin, Aulia
Journal of Collaborative Industrial Management (JCIM) Vol. 1 No. 4 (2025): Journal of Collaborative Industrial Management
Publisher : Publika Bersama Nusantara

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Abstract

The manufacturing industry faces challenges in inventory, including overstock and  material stockouts that require companies to use an efficient inventory strategy. The purpose of this research is to analyze the effectiveness of the operational material management strategy  in overcoming the problem  of overstock and stockout material packaging in the inventory process at electronic manufacturer company. This study uses a qualitative approach method by collecting data through interviews, observations, and documentation. Data analysis was carried out using fishbone diagrams to decipher the causative factors and pareto diagrams to identify the main factors. The results of the fishbone analysis  show that data input errors, multiple division of labor, material damage during production, asynchronous communication between the teams involved, lack of supervision, and poor employee rotation are the main causes. In addition, the results of Pareto analysis with (Pareto's law 20-80) the main factors that dominate 80% are in human factors 31%, material 27%, and machine 22%. Based on the results of the research, simple applications can be done by improving communication coordination, increasing the number of employees, conducting regular training, and optimizing the use of technology.
Analyzing The Role Of The PDCA Method In Supporting Continuous Improvement: A Case Study Of A Coal Mining Contractor In South Kalimantan Al-Alif, Regiano; Priyono, Anjar
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
Publisher : Publika Bersama Nusantara

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Abstract

The mining industry operates in a high-risk environment in which transportation activities contribute significantly to occupational accidents and operational losses. In Indonesia, transportation-related incidents in mining operations remain a critical safety issue, highlighting the need for systematic and sustainable improvement approaches. This study aims to analyze the implementation of the Plan–Do–Check–Act (PDCA) method as a continuous improvement framework in reducing transportation-related incidents within a coal mining contractor operating in South Kalimantan. This study employs a qualitative case study approach. Data were collected through direct field observations conducted during an industrial internship, semi-structured interviews with key personnel involved in the improvement program, and analysis of internal company documents related to safety performance and continuous improvement initiatives. The PDCA framework was used as the primary analytical lens to examine improvement activities across the planning, implementation, evaluation, and standardization stages. The findings indicate that the PDCA method was effectively implemented to identify dominant transportation safety risk factors, particularly unsafe driving behavior and limitations in manual monitoring systems. Improvement actions implemented during the Do stage included the adoption of digital fit-for-duty systems, enhanced transportation monitoring technologies, and strengthened supervisory coaching. The Check stage demonstrated measurable improvements in safety compliance and reductions in unsafe driving behavior, while the Act stage focused on standardizing successful practices to support sustainability. This study concludes that the PDCA method functions as an effective continuous improvement tool for strengthening transportation safety management in high-risk mining operations. The findings provide practical insights for mining contractors seeking to enhance safety performance through structured, data-driven, and sustainable improvement cycles.
Peran Sinergi Human Lean Practices & Technical Lean Practices dalam Meningkatkan Operational Performance UMKM di Jawa Tengah Lazuardi, Duan; Priyono, Anjar
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
Publisher : Publika Bersama Nusantara

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Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam perekonomian daerah, termasuk di Jawa Tengah. Namun, peningkatan kinerja operasional UMKM khususnya di Jawa Tengah masih menjadi tantangan yang perlu diatasi melalui peningkatan strategi inovasi operasional yang tepat. Penelitian ini bertujuan untuk menganalisis pengaruh Technical Lean Practices (TLP) dan Human Lean Practices (HLP) terhadap Operational Performance (OP) pada UMKM di Jawa Tengah. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei melalui kuesioner skala Likert 1–5. Sampel penelitian berjumlah 60 UMKM yang berada di wilayah Purworejo, Wonosobo, Magelang, Semarang, Temanggung, dan Kebumen, yang ditentukan berdasarkan pertimbangan aksesibilitas waktu dan biaya. Analisis data dilakukan menggunakan teknik Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS versi 4.1.1.6. Hasil penelitian menunjukkan bahwa Technical Lean Practices (TLP) berpengaruh positif dan signifikan terhadap Operational Performance (OP). Demikian pula, Human Lean Practices (HLP) juga terbukti berpengaruh positif dan signifikan terhadap Operational Performance (OP). Dengan nilai R-Square sebesar 0,455 menunjukkan bahwa kombinasi TLP dan HLP mampu menjelaskan 45,5% variasi kinerja operasional UMKM, sementara sisanya dipengaruhi oleh faktor lain di luar model penelitian. Temuan ini menegaskan bahwa penerapan praktik lean, baik yang bersifat teknis maupun berbasis sumber daya manusia, berperan penting dalam meningkatkan kinerja operasional UMKM.
Programmable Logic Controller (PLC): Literature Review Permadi, Ricky; Trijayadi, M Agung; Mulya, Owen; Ramadhani, Rizky; Yusuf, Akbar Maulana; Kurnia, Hibarkah
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
Publisher : Publika Bersama Nusantara

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Abstract

Programmable Logic Controllers (PLCs) are essential components in industrial automation, serving as the backbone for controlling, monitoring, and integrating intelligent systems. Despite their widespread adoption, PLC implementation faces several challenges, including limited flexibility in manual programming, interoperability barriers with Industry 4.0 systems, cybersecurity risks, and constraints in real-time data processing. This study aims to conduct a comprehensive literature review on the development, implementation, and innovation of PLCs, focusing on the integration of intelligent technologies such as Large Language Models (LLMs), digital twins, predictive root cause analysis, and IoT, as well as PLC applications in technical education. The research method involved identification and selection of relevant literature from Scopus, IEEE Xplore, ScienceDirect, and ACM Digital Library, followed by data extraction on issues, objectives, methods, subjects, findings, and conclusions of each study, and qualitative analysis to identify trends, advantages, and challenges in PLC development. The results indicate that innovations such as LLM-based code automation, digital twin integration for production monitoring, and PLC-based learning simulators can significantly improve efficiency, accuracy, reliability, and system adaptability. Additionally, communication modules, adaptive interfaces, and network integration capabilities are critical for supporting modern industrial automation. This study provides a comprehensive understanding of the evolution, potential, and limitations of PLCs in enabling secure, efficient, and sustainable automation.
Analisis Penerapan Industry 4.0 Dan Smart Manufacturing Terhadap Peningkatan Daya Saing Industri Melalui Pendekatan Integrated Industrial Systems Wibowo, Jaka
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
Publisher : Publika Bersama Nusantara

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Abstract

This study examines how the application of Industry 4.0 and smart manufacturing concepts contributes to industrial competitiveness enhancement through the Integrated Industrial Systems (IIS) approach. Employing a qualitative method with a multiple case study design, this research explores the dynamics of digital transformation across diverse manufacturing environments. Data were collected through in-depth interviews, field observations, and document analysis from various industrial stakeholders. The findings reveal that the success of Industry 4.0 implementation is not solely determined by technology adoption, but by the organization's ability to holistically integrate all industrial subsystems—from technological infrastructure, human resource capabilities, and innovation culture to collaborative ecosystems. The IIS approach proves effective as an analytical framework for understanding the complex interactions among variables in industrial transformation. This study recommends a phased implementation model that considers organizational readiness, innovation capacity, and alignment of digital strategy with long-term business objectives.
Analisis Lean Process Menggunakan Metode Value Stream Mapping Pada Proses Incoming Material Di PT Sat Nusapersada Tbk Butar, Angel Aurora Butar
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
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Abstract

PT Sat Nusapersada is an electronics manufacturing company that produces various electronic products such as smartphones, laptops, tablets, network switches, routers, Wi-Fi modules, smartwatches, and PCBs. This study aims to determine the types of waste that occur in the incoming material process using a lean approach and the Value Stream Mapping (VSM) method at PT Sat Nusa Persada Tbk. The incoming material process, which is the starting point in the company's supply chain, was found to have several inefficiencies such as long waiting times, activities that do not provide added value, and suboptimal division of labor. Through interviews, observations, and root cause analysis using the 5W + 1H and 5 Why Analysis methods, it was found that the total process time reached 9,100 seconds with a PCE value of 63.08%. After analysis and the preparation of a future state map based on proposed improvements, the total process time decreased to 6,480 seconds and the PCE value increased by 13.89% to 76.97%.
The Role of Transformational Leadership in Driving Operational Innovation in Manufacturing Industry Environments Kumalasari, Desy
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
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Abstract

This study examines the role of transformational leadership in driving operational innovation within manufacturing industry environments. Despite the extensive quantitative literature linking transformational leadership to organizational outcomes, the mechanisms through which transformational leaders cultivate operational innovation encompassing process improvements, efficiency enhancements, and quality driven change remain insufficiently explored through interpretive methods. Employing a qualitative research design with a multiple case study approach, this study collected data through in depth interviews with 34 key informants including plant managers, production supervisors, process engineers, and frontline operators across diverse manufacturing contexts. Data were complemented by non participant observations and document analysis. Thematic analysis revealed five core mechanisms through which transformational leadership stimulates operational innovation: (1) vision articulation as an innovation catalyst; (2) psychological safety creation enabling process challenge; (3) mentoring networks accelerating skill diffusion; (4) institutionalized innovation championing; and (5) co creative resistance management. The study further develops a five stage Transformational Leadership Operational Innovation (TLOI) model that traces the pathway from leadership behavior to sustainable innovation culture. Findings contribute to the industrial management literature by foregrounding the relational and cultural dimensions of operational innovation that conventional productivity metrics overlook. The study concludes with strategic recommendations for leadership development programs in manufacturing organizations.
Analysis of Green Industry Practice Implementation in Operational Management: Motivations, Barriers, and Institutional Impacts Putra, Raditya Surya; Sari, Novia Kartika; Wibowo, Eko Prasetyo
Journal of Collaborative Industrial Management (JCIM) Vol. 2 No. 1 (2026): Journal of Collaborative Industrial Management
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This study investigates the implementation of green industry practices within manufacturing operational management, with a particular focus on the motivational drivers that prompt adoption, the barriers that impede scaling, and the institutional impacts that result from sustained environmental stewardship. Employing a qualitative research design grounded in multiple case study methodology and institutional theory, data were collected through in-depth interviews with 36 key informants spanning operations directors, environmental managers, process engineers, supply chain specialists, and regulatory officers across six manufacturing facilities representing diverse industrial sub-sectors. Data collection was complemented by non-participant field observations and systematic document analysis of sustainability reports, environmental audit records, and operational policy documentation. Thematic analysis identified seven motivational driver categories   ranging from regulatory compliance and market access imperatives to intrinsic leadership values and enterprise risk management   alongside six classes of implementation barriers encompassing financial, technical, organizational, cultural, regulatory, and supply chain dimensions. The study further maps the institutional impacts of green practice adoption across six stakeholder dimensions: regulatory relationships, investor relations, customer legitimacy, community license to operate, industry peer positioning, and human capital. An integrative Green Industrial Operations (GIO) model is proposed, providing a structured pathway for manufacturing organizations to transition from compliance-driven to value-driven environmental management. Findings contribute to the green management and industrial operations literature by foregrounding the institutional and relational dimensions of environmental practice that operational metrics alone fail to capture.

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