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Tata Kelola Digital Layanan Lalu Lintas Jalan Tol di Indonesia: Studi Aplikasi Travoy Jasa Marga Setiawan, Mohamad Agus; Hartoyo; Seminar, Kudang Boro; Sartono, Bagus; Fitriati, Rachma
Matra Pembaruan: Jurnal Inovasi Kebijakan Vol 8 No 1 (2024)
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/mp.8.1.2024.1-16

Abstract

Digital transformation has transformed the governance approach into digital governance, essential in improving performance and service quality in various sectors, including the toll road industry. This article explores the implementation of digital governance in toll road traffic services in Indonesia. The research method uses a qualitative approach with data collection techniques through observation, literature studies, focus group discussions, and in-depth interviews with a study time of six (6) months from September 2023 to February 2024. The study results show that toll road users face various problems in toll road traffic services in Indonesia, such as severe traffic congestion, over-capacity rest areas, dirty toilets, lack of gas station facilities, and lack of information about congestion points and alternative routes. As an Indonesian state-owned enterprise engaged in toll road operations, PT. Jasa Marga Tbk. launched the Travoy application to provide practical solutions for toll road users to get the necessary information services, facilitate the search for rest areas, and reduce congestion by managing traffic distribution. The study results confirm the importance of continued investment in digital technology and effective data processing to ensure the satisfaction and convenience of future toll road users.
Optimizing the Potential of 3D Printing for Industry from Prototype to Production Setiawan, Mohamad Agus; Rafika, Ageng Setiani; Ikhsan, Ramzi Zainum; Lutfiani, Ninda; Evans, Richard
ADI Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

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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.
Assessing the Environmental and Economic Effects of Smart Grid Integration Using SEM Evans, Richard; Oganda, Fitra Putri; Setiawan, Mohamad Agus; Nurjanah, Lina; Sunengsih, Meriyana
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.934

Abstract

The global shift toward renewable energy has intensified the need for intelligent energy management systems capable of addressing variability in power supply and optimizing system-wide performance. Smart grid technologies have emerged as a key enabler in achieving sustainable, efficient, and data-drivenvenergy distribution. This study employs a quantitative approach using Structural Equation Modeling (SEM) via SmartPLS to analyze data collected from stakeholders involved in renewable energy deployment, utility operations, and smart grid implementation. The model evaluates the relationships between smart grid integration, environmental performance, and economic outcomes. The primary aim of this research is to assess how smart grid adoption influences carbon emission reduction, energy efficiency enhancement, and cost optimization within renewable energy ecosystems. The SEM analysis indicates a statistically significant positive effect of smart grid integration on both environmental and economic indicators. Smart grid implementation improves energy efficiency by more than 30%, while operational cost savings reach up to 25% over extended periods. Carbon emission reduction is identified as a key mediating factor within the model, reinforcing the ecological benefits of smart grid adoption. The findings demonstrate that smart grid technologies contribute substantially to both sustainability and economic resilience in renewable energy management. The study provides actionable insights for energy policymakers, grid operators, and industry practitioners, highlighting the vital role of intelligent, data-driven infrastructures in advancing future global energy systems.
Improving E-Service Quality of Indonesian Toll Road Application with Entrepreneurship Insights Setiawan, Mohamad Agus; Hartoyo, Hartoyo; Seminar, Kudang Boro; Sartono, Bagus; Fitriati, Rachma; Ginting, Victor
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.579

Abstract

Digital transformation in Indonesia toll road sector faces significant challenges related to information fragmentation among Toll Road Operators (BUJT), hindering the optimization of electronic service quality (E-Service Quality). This research aims to enhance E-Service Quality through the Soft Systems Methodology (SSM), integrated with Structural Equation Modeling-Partial Least Squares (SEM-PLS) analysis to understand key service dimensions. The findings indicate that integrating information across BUJTs, with a focus on informativeness, is critical to improving user satisfaction. The SSM-based conceptual model developed provides systemic solutions through policy integration, collaboration among BUJTs, and the development of an integrated information system. The assessment reveals that the proposed changes support toll road digital transformation and are culturally feasible. This study offers a strategic framework for improving toll road service quality, strengthening stakeholder collaboration, and creating a better user experience.