2,729 research outputs found

    Pengaruh Rekrutmen dan Kompensasi terhadap Kinerja Karyawan dengan Pengawasan Kerja sebagai Variabel Moderating pada PT. Titian Abadi Lestari

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    Penelitian ini adalah penelitian tentang ”Pengaruh rekrutmen dan kompensasi terhadap kinerja karyawan dengan pengawasan kerja sebagai variabel moderating pada PT. Titian Abadi Lestari”. Variabel dependen dalam penelitian ini adalah kinerja karyawan. Variabel independennya adalah rekrutmen dan kompensasi. Serta varibel moderating dalam penelitian ini yaitu pengawasan kerja. Populasi dan sampel dalam penelitian ini adalah seluruh karyawan atau sebanyak 70 orang. Metode analisis yang digunakan dalam penelitian ini adalah uji kelayakan data, uji hipotesis dan uji variabel moderasi. Hasil penelitian uji kelayakan data membuktikan bahwa kuesioner valid dan reliabel. Sedangkan uji hipotesis secara parsial dan simultan membuktikan bahwa rekrutmen dan kompensasi secara bersama - sama berpengaruh signifikan terhadap kinerja karyawan. Hasil uji variabel moderasi membuktikan bahwa pengawasan kerja merupakan pure moderating dikarenakan hasil pengaruh Z terhadap Y pada output pertama dan pengaruh interaksi Z*X1 pada output kedua, salah satunya signifikan. Sehingga pengawasan kerja memoderasi pengaruh rekrutmen dan kompensasi terhadap kinerja karyawan

    La tutela del diritti nella comunita ecclesiale

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    Combining Hyperspectral Imaging and Small Unmanned Aerial Systems for Grapevine Moisture Stress Assessment

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    It has been shown that mild water deficit in grapevine contributes to wine quality, in terms of especially grape and subsequent wine flavor. Water deficit irrigation and selective harvesting are implemented to optimize quality, but these approaches require rigorous measurement of vine water status. While traditional in-field physiological measurements have made operational implementation onerous, modern small unmanned aerial systems (sUAS) have presented the unique opportunity for rigorous management across vast areas. This study sought to fuse hyperspectral remote sensing, sUAS, and sound multivariate analysis techniques for the purposes of assessing grapevine water status. High-spatial and -spectral resolution hyperspectral data were collected in the visible/near-infrared (VNIR; 400-1000nm) and short-wave infrared (SWIR; 950-2500 nm) spectral regions across three flight days at a commercial vineyard in the Finger Lakes region of upstate New York. A pressure chamber was used to collect traditional field measurements of stem water potential (ψstem) during image acquisition. We completed some preliminary exploration of spectral smoothing, signal-to-noise ratio, and calibration techniques in forging our experimental design. We then correlated our hyperspectral data with a limited stress range (wet growing season) of traditional measurements for ψstem using multiple linear regression (R2 between 0.34 and 0.55) and partial least squares regression (R2 between 0.36 and 0.39). We demonstrated statistically significant trends in our experiment, further qualifying the potential of hyperspectral data, collected via sUAS, for the purposes of grapevine water management. There was indication that the chlorophyll and carotenoid absorption regions in the VNIR, as well as several SWIR water band regions warrant further exploration. This work was limited since we did not have access to experimentally-controlled plots, and future work should ensure a full range of water stress. Ultimately, models will need validation in different vineyards with a full range of plant stress

    Models of Fractal River Basins

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    Two distinct models for self-similar and self-affine river basins are numerically investigated. They yield fractal aggregation patterns following non-trivial power laws in experimentally relevant distributions. Previous numerical estimates on the critical exponents, when existing, are confirmed and superseded. A physical motivation for both models in the present framework is also discussed.Comment: 16 pages, latex, 9 figures included using uufiles command (for any problem: [email protected]), to be publishes in J. Stat. Phys. (1998

    Cellular Models for River Networks

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    A cellular model introduced for the evolution of the fluvial landscape is revisited using extensive numerical and scaling analyses. The basic network shapes and their recurrence especially in the aggregation structure are then addressed. The roles of boundary and initial conditions are carefully analyzed as well as the key effect of quenched disorder embedded in random pinning of the landscape surface. It is found that the above features strongly affect the scaling behavior of key morphological quantities. In particular, we conclude that randomly pinned regions (whose structural disorder bears much physical meaning mimicking uneven landscape-forming rainfall events, geological diversity or heterogeneity in surficial properties like vegetation, soil cover or type) play a key role for the robust emergence of aggregation patterns bearing much resemblance to real river networks.Comment: 7 pages, revtex style, 14 figure

    Inverse and approximation problem for two-dimensional fractal sets

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    True scale-free networks hidden by finite size effects

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    We analyze about two hundred naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statistical testing of the validity of power law distributions of network degrees by contrasting real data. Specifically, we analyze by finite-size scaling analysis the datasets of real networks to check whether purported departures from the power law behavior are due to the finiteness of the sample size. In this case, power laws would be recovered in the case of progressively larger cutoffs induced by the size of the sample. We find that a large number of the networks studied follow a finite size scaling hypothesis without any self-tuning. This is the case of biological protein interaction networks, technological computer and hyperlink networks, and informational networks in general. Marked deviations appear in other cases, especially infrastructure and transportation but also social networks. We conclude that underlying scale invariance properties of many naturally occurring networks are extant features often clouded by finite-size effects due to the nature of the sample data

    Motivasi Pemerintah Skotlandia Melakukan Referendum sebagai Upaya Pemisahan Diri dari Britania Raya pada Tahun 2014

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    This research describes about the motivation of the Scottish Government for a referendum as an attempt secession from the United Kingdom in 2014. The United Kingdom are a combination of England, Scotland, Wales, and Northern Ireland. Scotland's area are 78.772 km2 or covers one-third of the United Kingdom. The Scottish government have different views and ideas with the British Government on policy making in some sectors. Scotland also has a great potential in the oil and gas resources that should be able to support the national economy.This research using qualitative method that collect data related from various sources. The writer collects data from books, encyclopedia, journals, mass media, and websites to analyze about motivation of Scottish Government conduct a referendum on independence. The theory applied in this research is the perspective of realism to the theory of ‘public policy' by William N. Dunn.The results of this research shows that the Scottish Government's ambition to make Scotland a more democratic, build more prosperous country, and realize a more equitable society. Scotland's Referendum was held on September 18, 2014, with the result that 55.25 percent of the people of Scotland choose to still be a part of the United Kingdom and 44.65 percent choose independence
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