Efisiensi TIME Saving Dalam Penerapan Pembayaran Transaksi Menggunakan E-money

Salah satu penarik faktor kunjungan wisatawan adalah sarana trasnportasi, dengan kemudahan sarana transportasi maka wisatawan dapat menggunakan waktunya secara efisien. Salah satu terobosan yang dianggap efektif dan membantu adalah penerapan e-money dalam pembayaran transportasi umum. Dengan menggunakan sistem e-money maka waktu yang dapat dihemat adalah 2 menit dari rata-rata penggunaan 3 menit dalam kegiatan pembayaran tiket. Kota Surabaya saat ini menyediakan sarana bus “Surabaya Shopping and Culinnary Track (SSCT)” sebagai pengembangan bidang pariwisatanya, bus tersebut membantu wisatawan mengunjungi beberapa tempat wisata, dengan beberapa rute. Peningkatan pelayanan dapat dikembangkan dengan merubah cara pembayaran dari loket manual menjadi pembayaran melalui-e-money. Dari pengguna e-money yang berada di Surabaya efisiensi time savingnya sebesar 5.709.891 menit/ orang/ hari. Dapat disimpulkan bahwa penerapan pembayaran transportasi umum yang menggunakan e-money menghasilkan 1.447.299 jam/ tahun saving time. Dimana waktu tersebut ekuivalen dengan 1.880 jam kerja/ orang/ tahun. Sehingga kota Surabaya dapat meningkatkan produktivitas kerja 769 orang/ tahun. Kata Kunci: time saving, e-money, efisiensi waktu, time ekuivale

Time-Saving Innovations, Time Allocation, and Energy Use: Evidence from Canadian Households

Time and energy are major inputs into the production of household goods and services. The introduction of time-saving innovations allows households to change their activity patterns and to reallocate their time across competing activities. As a result, the market penetration of time-saving technologies for general household use is expected to have a two-fold impact on energy use in the residential sector. Firstly, increased use of time-saving technologies for basic household chores (cooking, cleaning) can lead to a direct impact on energy use, as many time-saving technologies are more energy-intensive than technologies that require larger time commitments. Secondly, increased use of time-saving technologies allows household members to increase the amount of the activity that is undertaken (for example, when cooking requires less time, more meals may be prepared at home) or to spend more time undertaking other household chores or leisure activities (watching TV, reading, exercising) which may or may not be energy-intensive. In this paper, we use Canadian Survey of Household Energy Use data from 2003 to estimate the extent to which ownership of products that embody time-saving innovations impacts time allocation and energy use at the household level.time rebound effects; residential energy use; household production

Novel time-saving first-principles calculation method for electron-transport properties

We present a time-saving simulator within the framework of the density functional theory to calculate the transport properties of electrons through nanostructures suspended between semi-infinite electrodes. By introducing the Fourier transform and preconditioning conjugate-gradient algorithms into the simulator, a highly efficient performance can be achieved in determining scattering wave functions and electron-transport properties of nanostructures suspended between semi-infinite jellium electrodes. To demonstrate the performance of the present algorithms, we study the conductance of metallic nanowires and the origin of the oscillatory behavior in the conductance of an Ir nanowire. It is confirmed that the $s$-$d_{z^2}$ channel of the Ir nanowire exhibits the transmission oscillation with a period of two-atom length, which is also dominant in the experimentally obtained conductance trace

Saving Faculty Time, Saving Students Money

This presentation was for Teaching & Learning Day, hosted by the Faculty Center for Teaching & Learning at the University of Central Florida. The session shared how the UCF Libraries and Center for Distributed Learning (CDL) can help faculty connect to free (open or library-sourced) resources and tools to find, adapt, or author course materials and reduce student out-of-pocket cost to zero ($0). Session activities included constructing queries to find quality, relevant free/open materials and using AI technology to automate the course assessment creation process

Rapid Prototyping Using FDM: A Fast, Precise, Safe Technology

This paper outlines the use of FDM to speed product design and to streamline the manufacturing process. Time compression, the ability to quickly reduce the time it takes to get new products to market, has increased the pressure on all phases of the manufacturing process. Manufacturers must find and implement time saving systems without sacrificing quality.Mechanical Engineerin

Time-Saving Strategies in Technology and Management

The growing role of the time factor in problem solving is becoming universally recognized throughout the world. At the same time, this problem remains insufficiently explored particularly in the strategic aspect. This paper describes the general outline of one of the most actual issues connected with the time saving impacts of the modern high technology revolution. The main purpose is to deepen understanding and show the interdependence between technological and managerial capabilities in the time saving aspect. Of course, radical strategic technological changes require the adequate responses from management systems and manager's personal skills. In their turn, technological changes strongly depend on the improved technique of the analytic possibilities, including the improved technique of the analytical approach as a result of international experience, could be considered to maintain the efficient interaction between technological and managerial capability

Implementation of an effective time-saving two-stage methodology for microstructural characterization of cemented carbides

Linear intercept on scanning electron microscopy micrographs is the most commonly used measurement method to determine carbide grain size and contiguity in WC–Co cemented carbides (hardmetals). However, it involves manual time-consuming measurements and is critically dependent on the quality of the micrographs as well as on the identification and definition of grain boundaries. In this study a two-stage methodology for microstructural characterization of hardmetals is presented. First, a digital semi-automatic image analysis procedure for grain size determination of the carbide phase is presented. It involves an experimental assessment of grain size on processed images corresponding to a series of WC–Co and WC–Ni cemented carbide grades with different microstructural characteristics. Obtained results are then compared to the values obtained by means of the linear intercept technique. A good correlation between the mean grain sizes determined following both measurement techniques was attained. Based on experimental findings, a series of empirical relations were found to correlate grain size distributions obtained following both methods. Second, an empirical relation for estimating carbide contiguity in WC–Co cemented carbides is proposed. This relation considers simultaneously the influence of the binder content and the experimentally determined mean grain size on contiguity. The proposed equation for contiguity estimation is based on extensive data collection from open literature. An excellent agreement was attained between contiguity values estimated from such equation and those obtained using the linear intercept technique. This validates the two-stage procedure as an effective time-saving methodology for microstructural characterization of WC–Co cemented carbides.Peer ReviewedPostprint (author's final draft

Application of response surface methodology to stiffened panel optimization

In a multilevel optimization frame, the use of surrogate models to approximate optimization constraints allows great time saving. Among available metamodelling techniques we chose to use Neural Networks to perform regression of static mechanical criteria, namely buckling and collapse reserve factors of a stiffened panel, which are constraints of our subsystem optimization problem. Due to the highly non linear behaviour of these functions with respect to loading and design variables, we encountered some difficulties to obtain an approximation of sufficient quality on the whole design space. In particular, variations of the approximated function can be very different according to the value of loading variables. We show how a prior knowledge of the influence of the variables allows us to build an efficient Mixture of Expert model, leading to a good approximation of constraints. Optimization benchmark processes are computed to measure time saving, effects on optimum feasibility and objective value due to the use of the surrogate models as constraints. Finally we see that, while efficient, this mixture of expert model could be still improved by some additional learning techniques