Ageng Setiani Rafika
University of Raharja, Indonesia

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Optimizing the Potential of 3D Printing for Industry from Prototype to Production Mohamad Agus Setiawan; Ageng Setiani Rafika; Ramzi Zainum Ikhsan; Ninda Lutfiani; Richard Evans
ADI Pengabdian Kepada Masyarakat Vol 6 No 1 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v6i1.1193

Abstract

The adoption of 3D printing technology has increased across various industrial sectors due to its ability to accelerate product development, reduce production costs, and support flexible manufacturing. However, implementation at the community and small–medium industry level remains limited due to gaps in technical skills, digital design knowledge, and structured technology transfer. This community service program aims to enhance the practical capacity of industrial partners in utilizing 3D printing, particularly in transitioning from prototyping to small-scale production. The program used the Participatory Action Research (PAR) approach through needs assessment, technology transfer training, hands-on practice, mentoring, and evaluation. Participants were guided in 3D modeling, printer setup, material selection, and print optimization. The program improved participants technical skills and confidence in producing functional prototypes according to industrial needs. Production time was reduced, design modification became more efficient, and opportunities for product innovation increased, supporting independent and adaptive manufacturing. This program successfully strengthened community-based industrial capabilities in adopting digital manufacturing, contributing to SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure). Future activities are recommended to expand collaborative product development and sustain innovation networks between academia and industry.
Training on Utilizing an IoT-Based Inorganic Waste Management System for Sustainable Public Welfare Ruli Supriati; Ageng Setiani Rafika; Dwi Andayani; Aulia Rahma Dina; Muhammad Ghifari Ilham; Ersa Aura Natasya; Irene Apriani Widjaya
ADI Pengabdian Kepada Masyarakat Vol 6 No 1 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v6i1.1346

Abstract

The increasing accumulation of unmanaged inorganic waste has become a serious environmental issue that threatens ecosystem sustainability and public health. However, the distribution of advanced technology has not yet reached many local communities. Therefore, the Orange Box technology was introduced as an Internet of Things (IoT)-based innovation designed to automatically sort and recycle inorganic waste through intelligent detection and data-driven processing systems. The intended benefits for the community are to improve the effectiveness and social impact of waste management through the implementation of the Orange Box. Hence, technological literacy and training are required to enhance the efficiency of waste sorting and utilization. This community service program applied a mixed-methods approach, combining surveys, direct observations, and interviews to assess community behavior, awareness levels, and satisfaction. The results of continuous socialization and training activities showed a significant increase in the quantity and accuracy of inorganic waste sorting, as well as improved public awareness of sustainable waste management. Furthermore, the community found the system easy to use and motivating for consistent waste sorting practices. These findings confirm that IoT technology plays an essential role in achieving smart waste management and fostering environmental responsibility at the community level, in alignment with the Sustainable Development Goals (SDG 12 Responsible Consumption and Production, and SDG 13 Climate Action). Future studies are recommended to expand implementation, integrate economic incentives, and enhance real-time monitoring systems for broader urban applications.