The high cases of motor vehicle theft, especially motorcycles theft became a daily problem that still need to look for solution. One of the solutions for securing a motorcycle from theft is by applying intellegent security system technology. The purpose of this research was to design motorcycle security system with fingerprint sensor and determine the percentage of sytem design success. The research methods used are designing, formulating problem and studying literature. The next step are to design the system design and assemble the design. The first was a registered the fingerprint owner motorcycle in order recorded in the data system. The second was to match the fingerprint registered. The design assembly consists of power supply, arduino UNO microcontroller module, fingerprint module, LED and relay module which would be connected with the electrical system motorcycle. Next step was to install the prototype on the motorcycle that connected the relay module with the wire between switch of side buffer and the machine of motorcycle. The result of the triasl system with Thirteen the user motorcycle his fingerprints was not registered indicates system 100% success. This means even though the key contact in the ON position the motorcycle could not be turned on by front starter or side starter(engkol). The only the fingerprint registered that could be turned on the machine of motorcycle.
PT. XYZ is a company engaged in manufacturing concrete. There are many machines that used in this company, one of them is the Reinforcement Hoist machine. The Reinforcement Hoist machine is the engine with the highest downtime on line 8 during 2019 with 90 hours. The maintenance system that applied in this company is corrective maintenance. To implement a preventive maintenance system, researcher has used the Lean Maintenance method to find the MTTF value for each component and analyzing maintenance activities by Maintenance Value Stream Mapping (MVSM).The purpose of this research was to determine the critical components of the Reinforcement Hoist machine using FMEA, determine the reliability value of machine using RBD, determine preventive scheduling using selected distributions, and calculate maintenance efficiency using the Lean Maintenance method. From the results of the FMEA critical components are the Gearbox and End Carriage components. The Reliability Value of the Reinforcement Hoist engine is 85.69% with MTTF Gearbox component every 3 days and the End Carriage component every 6 days. The results of the Maintenance Efficiency of the Gearbox component are 49.59% and the End Carriage component is 61.35%.
The sustainability of Industry 4.0 has now entered into the tourism sector or Tourism 4.0. Where tourism in Indonesia is a potential thing but still not as expected. Previous research shows that the applied model has not yielded optimal results in predicting platform use, so one of the steps to further study the Desa Digital mobile application research is done with the variables used in this study: Perceived Ease of Use, Perceived Usefulness, Attitude Toward Use, Intention to Use, and Actual System Usage. The aim of this research is to know the technology acceptance variable using the Technology Acceptance Model (TAM) and evaluate it. The method used in this research is to use the Partial Least Square (PLS) method. The results showed that: (1) variables influencing the acceptance of the Technology Acceptance Model, namely: Perceived Ease of Use, Perceived Usefulness, Attitude Toward Use, Intention to Use and Actual System Usage, (2) constructs that affect the model namely Perceived Ease of Use Use and Perceived Usefulness for Attitude Toward Use, Attitude Toward Use for Intention to Use and Intention to Use for Actual System Usage.
The sustainability of Industry 4.0 has now entered into the tourism sector or Tourism 4.0. However, the existence of information technology as a provider has not been widely used in the context of Tourism 4.0 in Indonesia. Recent mobile technology, the application namely “Desa Digital” requires an in-depth evaluation of an intention to use and actual system usage. Hence, this study uses a Technology Acceptance Model (TAM) to understand the intention to use and actual system usage for “Desa Digital” mobile application users in Indonesia. A literature study is conducted in identifying variables that are important on the acceptance model. Furthermore, this paper identifies social presence, perceived enjoyment, perceived ease of use, perceived usefulness, perceived compatibility, and attitude toward use influencing intention to use and actual system usage.
The development of digital technology is increasingly developing along with the emergence of the industrial concept 4.0. Indirectly, this creates opportunities for the macro and micro industries located in cities and villages. Analysis of visitor needs and application feature priorities were carried out in this study for the development of android applications in the “Ponggok Village” and “Cikoromoy Village”. The purpose of this study is to make it easier for visitors to know the tourism objects in the village. Quality Function Deployment (QFD) and Analytical Hierarchy Process (AHP) are used as a basis for designing digital application designs. Identification of visitor needs is obtained by using QFD methods and ranking of application features is obtained by using methods. Finally, two villages were compared in order to developing an integrated digital application.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.