4 research outputs found

    Rancang Bangun Aplikasi Sistem Inventaris Pada Toko Pakan Ternak UD. Eldina Jaya Kuala Tanjung Menggunakan Metode FIFO

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    Inventory is an item or material used by an organization or company to run its business. If the company produces a product or service, the material is used to support or provide production needs. Inventory for the company is to anticipate customer needs. Likewise in the manufacturing industry, inventory is used for company activation which is to meet customers who are sometimes unpredictable, so we have to maintain stock inventory in production activities. First-In First-Out (FIFO) is a method of solving the queuing problem that can be applied by reporting the first incoming complaint is assumed to be the first out. If a complaint report is issued it will be resolved first. The author makes an inventory system application that aims to make it easier for UD. Eldina Jaya in facilitating computerized recording of goods and minimizing time in the process of inputting goods into and out.Keywords: Inventory System, FIFO Method, Microsoft Visual Studi

    Parameters identification and optimization of photovoltaic panels under real conditions using Lambert W-function

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    This paper proposes a new approach based on Lambert W-function to extract the electrical parameters of photovoltaic (PV) panels. This approach can extract the optimal electrical characteristics of the PV panel under variable conditions of irradiation and temperature. Three benchmarking panels (shell SP70 monocrystalline silicon, shell ST40 thin film, and KC200GT Polycrystalline Silicon) are demonstrated and analyzed considering the electrical characteristics provided by the manufacturers. A comprehensive assessment is carried out under different weather condition to validate the capability and the robustness of the proposed approach. Furthermore, the simulated output characteristics of the three modules Photovoltaic are almost comparable and reproduce faithfully the manufacturer’s experimental data The novelty of this study is the using a new hybrid analytical and numerical method that straight forward and effective given value of Root mean square error less than those obtained by others methods that indicate the estimated results are very close to the experimental values provided by the manufacturers

    A novel hybrid numerical with analytical approach for parameter extraction of photovoltaic modules

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    Building an accurate mathematical model of photovoltaic modules is an essential issue for providing reasonable analysis, control and optimization of photovoltaic energy systems. Therefore, this study provides a new accurate model of photovoltaic Panels based on single diode Model. In this case, the proposed model is the link between two models which are the ideal model and the resistance network. All parameters are estimated based on hybrid Analytical/Numerical approach: three parameters photocurrent, reverse saturation current and ideality factor are obtained using an Analytical approach based on the datasheet provided by the manufacturer under Standard Test Conditions. The series and shunt resistances are obtained by using a Numerical approach similar to the Villalva's method in order to achieve the purpose of modeling the resistance network part. Our model is tested with data from the manufacturer of three different technologies namely polycrystalline, Mono-crystalline silicon modules and thin-film based on Copper Indium Diselenide, and for more accurate performance evaluation we are introducing the Average Relative Error and the Root Mean Square Error. The simulated Current-Voltage and Power-Voltage curves are in accordance with experimental characteristics, and there is a strong agreement between the proposed model and the experimental characteristics. The computation time is 0.23 s lower than those obtained using others approach, and all obtained results under real environment conditions are also compared with different models and indicated that the proposed model outperforms the others approach such as villalva's and kashif's method

    Experimental Analysis of Water-1MHz-gasified with O2, and Simulation Analysis of Physicals Parameters Effect of Solvents in Megasonic Cleaning

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    Aqueous chemicals and solvents are used heavily in semiconductor manufacturing, and device manufacturers are focused on advancing these cleaning liquids to the next technology node. The scientific results confirm that ultrasonic agitation can improve the removal of particles. Megasonic energy has been proven to improve particle elimination in semiconductor devices in cleaning procedures. On the other hand, applied ultrasonic energy may damage the sensible devices in the cleaning process. In order to better comprehend, we explore in this paper the impact of different liquid properties by showing the transient cavitation threshold by performing some simulations with the analytical Blake model and the numerical Gilmore model. The experimental setup firstly to understand the temporal and spectral response of the increasing of the electrical power, and secondly to investigate that increasing the gas level in the cleaning bath in Water-1MHz-gasified with O_2 modifies the acoustical pressure in the medium. We can conclude that the experimental measurements and simulation studies of the applicable sound wave field and cavitation level provide an important indication of the medium's properties. By proceeding in this manner, we can find the impact parameters on the onset of transient cavitation and the safe area to treat client wafers. At this point, we can figure out the cavitation threshold that works for us and safely translate it from one chemical process to another
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