The Central Java region is the highest disaster-prone region in Indonesia in the period January - May 2019. The disasters occurred, in total of 554 times, with a total of 14 fatalities, 7 injured, 98,208 affected and displaced. Natural disasters cannot be avoided, but their impact can be minimized with good management. Disaster management and anticipation include utilizing information systems. A good information system is a system that makes it easy for users. The level of usefulness of this system, must be measured whether this system will be useful or not. This research is focused on testing the interface of the Disaster Information System belongs to BNPB Magelang. The method used is Planning and Analysis, Usability Evaluation, Data Analysis and Data Presentation. This measurement is done by the usability testing method. Based on the measurement results of the usability level of the Disaster Information System, a value of 3.35 was obtained. Based on the Linkert Scale, this system is said to be Usable. The results of the research can describe the reusability level of disaster information systems and to recommend in improving aspects of reusability.
Today, in the industry 4.0 era, the boundaries of scientific disciplines are blurred, everything seems to be interrelated and shows the ability to be combined. Intelligent sensors combined with Artificial Intelligence (AI) have demonstrated their ability to influence processes, design, and maintenance in manufacturing systems. Mechanical engineering tasked with solving complex engineering problems must be able to adapt to this transformation, especially in the use of digital and IT to combine the principles of physics and engineering mathematics with materials science to design, analyze, manufacture, and maintain mechanical systems. On the other hand, mechanical engineering must also contribute to a better future life. Therefore, one of the keys to consistently playing a role is to think about sustainability, in order to provide benefits for society and industry, in any industrial era.
One of the reasons for the slow conversion program from gasoline to LPG/Vigas is the uncertainty of profit or loss. Therefore, this article presents a simple calculator to assess the feasibility of investing in vehicle conversion, from gasoline to LPG/Vigas. Input parameters include estimated annual mileage, fuel consumption, gasoline prices, LPG / Vigas prices, the cost of the converter kit and its installation, engine standardization costs, maintenance costs with gasoline, and maintenance costs with LPG considered to produce output parameters that include Break Even Point (BEP), Payback period (PP), Net Present Value (NPV), and Internal Rate of Return (IRR).
The implementation of the ASEAN Clean Tourist City Standard caused restlessness among public fleet operators and the Department of Transportation of Magelang City. Therefore, this article presents the prediction of economic value and environmental benefits of public fleet in Magelang that will be converted from gasoline to LPG. Investment feasibility parameters, such as Break Event Point (BEP), Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PBP) are presented through three financing scenarios compared with the current gasoline price at the fuel station, RON 88 and RON 90. Simulation results indicate that investment is feasible with the government providing fiscal incentives through the procurement of converter kits. The wages of the public fleet crew under Minimum Wage City will rise by 30 % and 70 % to switch from gasoline RON 88 and gasoline RON 90, respectively. Meanwhile, environmental benefits are also expected to improve, with CO 2 emission reduction of 320.46 tons/year or about 11 % of gasoline usage. These two benefits (economics and environmental) are expected to support the clean city program in Magelang City, Indonesia.
The center of gravity (CoG) on the minibus is one of the fundamental parameters that affect the operation of the vehicle to maintain traffic safety. CoG greatly affects vehicle maneuverability due to load transfer between the front and rear wheels, such as when turning, braking, and accelerating. Therefore, this research was conducted to evaluate the operational safety of minibusses produced by the domestic car body industry. The case study was conducted on a minibus with a capacity of 30 passengers to be used in a mining area. Investigations on CoG were carried out based on the minibus specification data, especially the dimensions and forces acting on the wheels. Minibusses as test objects were categorized in two conditions, namely without passengers and with 30 passengers. The test results are expressed in a coordinate system (x, y, z) which represents the longitudinal, lateral, and vertical distances to the center of the front wheel axle. CoG coordinate values without passengers are (2194.92; 7.11; 1327.97) mm and CoG coordinates with full passengers (30 people) are (2388.52; 13.04; 1251.72) mm. The test results show that the change in CoG at full load is not significant which indicates the minibus is safe when maneuvering under normal conditions.
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