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The innovative design of automatic speed limiter device for trucks and buses based on road location analysis Hadi Pranoto; Abdul Mutalib Leman; Dafit Feriyanto; Andi Adriansyah; Abdi Wahab
SINERGI Vol 26, No 1 (2022)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2022.1.003

Abstract

The increasing number of vehicles every year has led to the rising potential of vehicle accidents. In 2015, there were 556 fatalities from 6,231 accident cases occurred in Jakarta, through regulation of the Minister of Transportation Republic Indonesia No: 111 in 2015, it has been issued firm vehicle speed restrictions, but there is no positive impact because the speed limit of each vehicle cannot be done automatically by the highway location, so the need for innovation to design a tool that can meet these needs. The method in this research is developing a device that can break the flow of fuel quickly to hold the vehicle's speed with a Global Positioning System (GPS) as a trigger to drive the relay that has been installed on the engine. The results of this study are devices that have been installed in truck and bus engines capable of holding the speed. The result shows that the voltage has been calculated was at 10 km/h produce 1.2 volts, and the highest speed of 70km/h produce 10.7 Volt. GPS in speed limiter is also compared with the Map application. The result shows a slight difference either in latitude or longitude, where the smallest differences in latitude and longitude were about 0.00" and 0.05", respectively. In addition, the GPS speed limiter well performs to limit the speed of trucks and buses for 32 km/h in pedestrians, 58km/h on the highway and 52 km/h on a toll road.
Techno-Economic Analysis Utilization of On-Grid Solar Photovoltaic Systems in Improving Energy Efficiency in Manufacturing Industries Mochamad Irlan Malik; Andi Adriansyah; Abu Ubaidah Shamsudin
Journal of Integrated and Advanced Engineering (JIAE) Vol 3, No 2 (2023)
Publisher : Asosiasi Staf Akademik Perguruan Tinggi Seluruh Indonesia (ASASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51662/jiae.v3i2.96

Abstract

Energy efficiency is a critical factor in the success of the manufacturing industry in the era of globalization and increasing competition. One alternative to reduce dependence on conventional energy sources is to utilize Solar Power Plants. This research focuses on the analysis of the techno-economic utilization of on-grid solar photovoltaic (PV) systems in improving energy efficiency in manufacturing industries using Homer Pro software. The study utilizes data on electricity consumption before and after the use of PV panels on a low voltage 33 kVA customer grid for one year. The results show that after the use of On-Grid Photovoltaic System, electricity costs decreased by 16.935.541 IDR or about 15%. The percentage of On-Grid Photovoltaic System usage reached 15.6%, while the grid usage reached 84.4%. Therefore, this study recommends the use of on-grid solar photovoltaic systems as an alternative energy-saving solution in manufacturing industries. However, in designing On-Grid Photovoltaic System, it is crucial to consider the power of the grid and the loads that will be backed up by On-Grid Photovoltaic System.
Design of water level detection monitoring system using fusion sensor based on Internet of Things (IoT) Andi Adriansyah; Muhammad Hanif Budiutomo; Heri Hermawan; Reni Ika Andriani; Rama Sulistyawan; Abu Ubaidah Shamsudin
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.019

Abstract

River flooding is a condition when the water in a river overflows and exceeds its normal capacity, thereby flooding the surrounding area. This flood disaster has been a known problem for a long time and causes great damage in the affected areas. Flood events inRivers are influenced by many factors, such as climate change, rapid urbanization, inappropriate land use, ineffective water management patterns, as well as uncontrolled addition of hard soil surfaces. Flood conditions in rivers involve complex processes and are influenced by various factors components, such as rainfall, water flow, topography, vegetation, and many other factors. Therefore, this research is very urgent because it can help reduce the negative impacts of flooding, increase public safety, become a basis for decision making, save costs and resources and make a positive contribution to technological development. This study aims to create a prototype of a flood early warning system. The system is based on a wireless sensor network whose interconnections are connected by a star topology. Every node is a combination of several sensors (sensor fusion) that are related to detecting floods, such as: height sensors, water flow speed sensors and rainfall intensity sensors. Design of hardware (hardware) and software (software) will be done. A classification mechanism based on Fuzzy Logic will be used to estimate flood conditions based on existing data. Flood estimation will determine the time and distance of flood events that will occur. Several experiments in the laboratory will be carried out to determine the performance of the designed system.