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  • Experimental Study of Dam Break Flow Generated by The Flap Gate in Horizontal Channel

    Experimental Study of Dam Break Flow Generated by The Flap Gate in Horizontal Channel

    Authors: Vitta Pratiwi ; Muhammad Syahril Badri Kusuma ; Hadi Kardhana ; Mohammad Farid

    DOI: 10.21660/2020.75.16098

    Abstract

    The risk of dam break failure become one of the most important issues to decide the feasibility of reservoir and dam development in Indonesia. This paper presents an experimental work result of a dam break flow through a single oblique obstruction in a straight rectangular channel. The dam break flow was generated by a sudden swing of a flap gate set on the contraction join of a horizontal reservoir and a horizontal channel. The initial condition of the dam break flow is set up based on the water height in this reservoir. A spatial temporal measurement of depth and velocity of the generated dam-break flow was conducted around the obstruction. The flow depth was measured using an ultrasonic-based sensor supported by a GPRS communication system, and the flow velocity was measured using a high-speed type current meter. Less correlation between the measured depth and velocity flow in the first of three seconds after the flow generation, where the flow has a high intensity of turbulent, was observed due to the limitation of data acquisition capacity. Compared to Noel’s experimental works where the dam-break mechanism is simulated using an uplift gate, the flow depth and velocity profiles of the current experimental work have a good agreement in its pattern and in less agreement in its magnitude. Meanwhile, compared to Noel’s numerical model result, it has fewer agreement results. These differences might be occurred due to the influences of differences dam break mechanism and data acquisition system. © 2020, Int. J. of GEOMATE.

    Author keywords

    Dam break; Experimental model; Flap Gate; Flood flow; Horizontal Channel


    This article can be accessed at: https://www.scopus.com/pages/publications/85096925617

  • Society 5.0: Optimization of Socio-Technical System in Poverty Reduction

    Society 5.0: Optimization of Socio-Technical System in Poverty Reduction

    Author: Gustiana I. ; Wahyuni W. ; Hasti N.

    DOI: 10.1088/1757-899X/662/2/022019

    Abstract:

    The purpose of this study is to design a digital platform design as one solution to solving poverty problems that exist in the community with various causes. Poverty is a complex problem caused by multidimensionality. The cause of poverty is not only a problem of economic inequality but also caused by social problems, education, and lack of access to communicate or communication. The methodology used in this research is Sociotechnical System (STS), STS analysis used six attributes, namely goals, people, buildings/infrastructure, technology, culture, and processes/procedures. This approach (STS) analyzes approaches based on social problems and technical problems. The final results of this study created a digital platform design as a public space to capture community participation in order to care and want to share with poor communities in the form of entrepreneurship training groups (UKM). This technology becomes a tool to help in educating society, not a rival of the community in accordance with the principles of society 5.0.

    © Published under licence by IOP Publishing Ltd.

    This article can be accessed at: https://www.scopus.com/pages/publications/85075861932

  • Computer Science Research in Indonesia to Create Sustainable Infrastructure for United Nations Sustainable Development Goals

    Computer Science Research in Indonesia to Create Sustainable Infrastructure for United Nations Sustainable Development Goals

    Authors: Eddy Soeryanto Soegoto, Brandon Nathanael Meliala, Senny Luckyardi, Bobi Kurniawan

    Abstract

    This study explored the role of computer science in advancing sustainable infrastructure in Indonesia, aligning with the United Nations Sustainable Development Goals (SDGs). As the country grapples with rapid urbanization, environmental challenges, and disaster resilience, emerging technologies such as Artificial Intelligence (AI), big data, the Internet of Things (IoT), and blockchain present innovative solutions. This research examined the studies using the Systematic Literature Review (SLR) from the past five years that focus on the application of computer science in sustainable infrastructure development in Indonesia. The study highlights contributions that align with the UN SDGs through a structured process of identifying, evaluating, and synthesizing relevant findings. Key findings reveal the potential of AI-powered smart grids, IoT-based environmental monitoring, and predictive analytics for disaster management. However, challenges such as infrastructure disparities, cybersecurity risks, and regulatory gaps remain significant barriers to adoption. The study emphasizes the need for more significant investment, stronger policies, and cross-sector collaboration to accelerate technology integration. By merging computer science with sustainability strategies, Indonesia can enhance infrastructure resilience, drive economic growth, and strengthen environmental protection. This research provides policy recommendations and insights for future studies, advocating a technology-driven approach to sustainable development. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Computer research; Digital infrastructure; Internet of things; Sustainable development goals

    This article can be accessed at https://www.scopus.com/pages/publications/105001481965