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Smart Irigasi Berbasis Arduino Sebagai Kontrol Air Subak untuk Mempertahankan Ketahanan Pangan I Kadek Agus Wahyu Raharja; Fachri Zamzami; I Gede Feryanda Fransiska; I Gusti Ngurah Janardana
Jurnal SPEKTRUM Vol 5 No 2 (2018): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.428 KB) | DOI: 10.24843/SPEKTRUM.2018.v05.i02.p13

Abstract

Agriculture in Bali generally using Subak system as an irrigation system. This irrigation system is regulated by a traditional leader who is also a farmer in Bali. Water distribution is carried out according to the area of farmers land. The problems that can be happened on this irrigation system, such as the community that opens the floodgates to the rice fields, are not in accordance with the time provided by traditional leaders, and that can break the unity in the area. In addition, during the dry season the distribution of water is sometimes uneven because the availability of water in the dam does not meet the needs. So that Arduino-based Solar Powered Smart Irrigation is designed as one of the tools to facilitate the management of subak water distribution. The modeling made is to simulate 3 pieces of rice fields that are drained by water with the main source being the river and the source of the reserve in the form of a reservoir. This system is controlled based on the programmed time on the RTC module and the monitoring system uses the GSM SIM900 module. The data obtained is the value of water discharge in the rainy season of 2.090 L / s, the dry season of 11.18 L / s, and 0 L / s in the hard dry season.
INTEGRATING BIM WITH 3D WEB DESIGN FOR ENHANCED 3D BUILDING VISUALIZATION AND SAFETY PLANNING IN CONSTRUCTION PROJECTS I Made Surya Kumara; I Kadek Agus Wahyu Raharja; Harry Chan
Journal of Infrastructure Planning and Engineering (JIPE) Vol. 3 No. 1 (2024)
Publisher : Master Program of Infrastructure and Environmental Engineering, Postgraduate Program, Warmadewa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/jipe.3.1.2024.18-23

Abstract

The construction industry is renowned for its hazardous nature, with a significant number of accidents occurring annually. These accidents result in serious consequences, including costs for disability benefits, decreased worker productivity, and idle equipment, hindering development. To address these challenges, safety must be a priority during the construction planning stage. Occupational Health and Safety (OSH) programs play a crucial role in ensuring worker safety and health. Building Information Modeling (BIM) has emerged as a technology that can significantly improve safety in construction projects. BIM provides detailed information and visualizations that help identify potential hazards and develop effective mitigation strategies. However, its implementation in Indonesia is still limited to level 1 BIM, primarily involving 2D and 3D CAD drafting. To enhance 3D building visualization and safety planning, this paper proposes integrating BIM with three.js and ReactJS. Three.js is a JavaScript library that enables the creation of 3D visualizations in web browsers, while ReactJS is used to build user interfaces in web applications. By combining these technologies, interactive web applications can be developed to display 3D buildings in real-time. This allows users to easily view building designs, identify potential hazards, and make informed decisions regarding safety measures. Furthermore, the Industry Foundation Classes (IFC) file format is utilized for data exchange in the BIM environment. IFC contains building geometry information, material properties, and other relevant data, enabling collaboration among project teams using different software. This integration enhances collaboration and facilitates more informed decision-making in construction projects. The results demonstrate efficient 3D rendering of BIM models with an average response time of 0.8 seconds, as well as real-time visualization of worker positions within buildings based on sensor data.