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All Journal Jurnal INTECH Teknik Industri Universitas Serang Raya Buletin Ilmiah Sarjana Teknik Elektro
Windi Auliana
Institut Teknologi Kalimantan
Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Risk Mitigation Design in the Supply Chain Process of Arabica Cofee Fort Alla Muhammad Akbar Palakbiran; Agus Mansur; Windi Auliana
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 11 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/1intech.v11i2.11358

Abstract

The Arabica coffee supply chain in Fort Allé is subject to a number of risks that have the potential to disrupt supply continuity and product quality. The objective of this study is to identify potential risks and develop mitigation strategies that can be integrated into the value chain. The research scope encompasses the identification, prioritization, and design of field-based countermeasures. The Delphi method was employed to identify risk events and agents, and the House of Risk (HOR) approach was utilized for analysis, evaluation, and prioritization of strategies. The data collection process entailed a multifaceted approach, encompassing observational studies, in-depth interviews, the administration of questionnaires, brainstorming sessions, and focus group discussions with cooperative stakeholders. The study identified 14 risk events and 33 risk sources, leading to the formulation of 14 preventive measures. The integration of coffee crops with secondary crops was prioritized (ETDk: 5184), as it enhances both sustainability and profitability. The proposed strategies are embedded within the coffee value chain, offering practical guidance for cooperatives and agroindustry actors to strengthen supply chain resilience and increase added value. The results of this study can serve as a reference for decision-making by cooperatives, agroindustry players, and policymakers in designing coffee supply chain strengthening programs that focus on risk mitigation and increasing added value based on sustainability.
Digitizing Waste Management Using the Internet of Things: Research Opportunities Auliana, Windi; Qurtubi, Q.; Haswika, H.; Worasan, Kongkidakhon; Shbool, Mohammad A.
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15696

Abstract

This study proposes an integrative multi-layered framework to address fragmentation in industrial waste management. The increasing volume of industrial waste creates an urgent need for a more precise, adaptive, and sustainable control system, as current practices often lack sufficient integration to ensure full environmental accountability. A critical gap exists in the lack of integration between real-time technical data and strategic governance, which hinders "intelligent compliance" in industrial settings. This research aims to identify trends, thematic scope, and research opportunities in IoT-based production waste control. The specific contribution of this study is the proposal of an integrative multi-layered framework that synchronizes monitoring, intelligent analytics, and blockchain-based accountability. The method was a PRISMA-based systematic review, search queries including 'IoT', 'Industrial Waste', and 'Blockchain' were applied to the Scopus database. 37 high-impact articles were selected based on three criteria: (1) industrial waste focus, (2) integration of Industry 4.0 pillars (AI, Blockchain, or 5G), and (3) publication within 2020–2025. Focusing on current system maturity over historical protocol evolution, this period reflects the state-of-the-art technological convergence. A rigorous Scopus screening narrowed 147 publications to 37 articles, enabling targeted qualitative synthesis. The results categorize IoT roles into thematic clusters: monitoring, process optimization, and circular economy integration. While promising, challenges such as data interoperability and security costs remain significant. This framework provides a blueprint for automated compliance. Future research should validate this model through cross-industry case studies. Study limitations include the reliance on a single database and the rapidly evolving nature of IoT technologies.
Co-Authors Agus Mansur, Agus Haswika, H. Muhammad Akbar Palakbiran Qurtubi, Q. Shbool, Mohammad A. Worasan, Kongkidakhon