Pengaruh Brand Image Terhadap Kepuasan Pelanggan Dengan Persepsi Nilai Sebagai Variabel Perantara Di Tx Travel Surabaya

Tujuan penelitian ini adalah mengetahui: pengaruh signifikan brand image terhadap persepsi nilai TX Travel, pengaruh signifikan brand image terhadap persepsi nilai tour leader TX Travel, pengaruh signifikan persepsi nilai TX Travel terhadap kepuasan pelanggan TX Travel, pengaruh signifikan persepsi nilai tour leader terhadap kepuasan pelanggan, pengaruh signifikan brand image terhadap kepuasan pelanggan TX Travel melalui persepsi nilai sebagai variabel moderating. Hasil dari penelitian ini: Brand image berpengaruh positif dan tidak signifikan terhadap persepsi nilai TX Travel, Brand image berpengaruh positif dan signifikan terhadap persepsi nilai pelanggan tour leader TX Travel, Persepsi nilai Perusahaan berpengaruh positif dan signifikan terhadap kepuasan pelanggan, Persepsi nilai tour leader berpengaruh positif dan signifikan terhadap kepuasan pelanggan, Brand image berpengaruh positif dan tidak signifikan terhadap kepuasan pelanggan TX Travel melalui persepsi nilai sebagai variabel moderating

Pengaruh Perbedaan Konsentrasi Ekstrak Bit Merah dan Gelatin terhadap Sifat Fisikokimia dan Organoleptik Marshmallow Beet

Marshmallow was known as snack food made from sugar, glucose syrup, gelatin and coloring with addition of high air contain that produce soft texture and melting sensation when it chewe. Thus, use of betalain pigment from red beet extract as natural colorant is attempted for marshmallow. The use of beet extract give pectin component and affect gelatin which act as foaming agent to form marshmallow texture. The differences of red beet extract and gelatin concentration will give some effect to the physicochemical properties and organoleptic of marshmallow beet. Red beet extract obtained from red beet bandung and commercial gelatin is used. The research design will be used is two factor Randomized Block Design, red beet extract concentration (5%, 10%, 15%) and gelatin concentration (3%, 4%, 5%) with three replications. The test results are analyzed by varians test (ANOVA) at α = 5% and Duncan's Multiple Range Test at α = 5% if there is real influence. The result of the analysis: water content (21,41-24,35%), water activity (0,807-0,817), pH (7,09-7,32), density (0,4484-0,5401 gram/mL), texture (hardness (773,98-1599,25 g) and chewiness (774,04-1508,77 g)) color (lightness (46,2-60,4), redness (28,2-35,7) and yellowness (5,1-6,6)) and organoleptic (color (4,79-6,13), taste (4,92-6,06) and texture (4,36-6,30)).The best treatment of beet marshmallow is G3B1 treatment (5% gelatin concentration and 5% beet extract concentration), which has 21,41% water content, 0,811 water activity, 0,4790 g/mL density, 1599,25 g hardness, 1508,77 g chewiness, 6,04 lightness, 28,2 redness, 6,6 yellowness and the organoleptic 5,87; 5,84 6,30 for color, taste and texture

Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation

This is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this record.The vast size of oil palm (Elaeis guineensis) plantations has led to lightweight unmanned aerial vehicles (UAVs) being identified as cost effective tools to generate inventories for improved plantation management, with proximal aerial data capable of resolving single palm canopies at potentially, centimetric resolution. If acquired with sufficient overlap, aerial data from UAVs can be processed within structure-from-motion (SfM) photogrammetry workflows to yield volumetric point cloud representations of the scene. Point cloud-derived structural information on individual palms can benefit not only plantation management but is also of great environmental research interest, given the potential to deliver spatially contiguous quantifications of aboveground biomass, from which carbon can be accounted. Using lightweight UAVs we captured data over plantation plots of varying ages (2, 7 and 10 years) at peat soil sites in Sarawak, Malaysia, and we explored the impact of changing spatial resolution and image overlap on spatially variable uncertainties in SfM derived point clouds for the ten year old plot. Point cloud precisions were found to be in the decimetre range (mean of 26.7 31 cm) for a 10 year old plantation plot surveyed at 100 m flight altitude and >75% image overlap. Derived canopy height models were used and evaluated for automated palm identification using local height maxima. Metrics such as maximum canopy height and stem height, derived from segmented single palm point clouds were tested relative to ground validation data. Local maximum identification performed best for palms which were taller than surrounding undergrowth but whose fronds did not overlap significantly (98.2% mapping accuracy for 7 year old plot of 776 palms). Stem heights could be predicted from point cloud derived metrics with root-mean-square errors (RMSEs) of 0.27 m (R2= 0.63) for 7 year old and 0.45 m (R2=0.69) for 10 year old palms. It was also found that an acquisition designed to yield the minimal required overlap between images (60%) performed almost as well as higher overlap acquisitions (>75%) for palm identification and basic height metrics which is promising for operational implementations seeking to maximise spatial coverage and minimise processing costs. We conclude that UAV-based SfM can provide reliable data not only for oil palm inventory generation but allows the retrieval of basic structural parameters which may enable per-palm above-ground biomass estimations.European CommissionMarie Skłodowska-Curi

The Human Gut Microbiome – A Potential Controller of Wellness and Disease

Interest toward the human microbiome, particularly gut microbiome has flourished in recent decades owing to the rapidly advancing sequence-based screening and humanized gnotobiotic model in interrogating the dynamic operations of commensal microbiota. Although this field is still at a very preliminary stage, whereby the functional properties of the complex gut microbiome remain less understood, several promising findings have been documented and exhibit great potential toward revolutionizing disease etiology and medical treatments. In this review, the interactions between gut microbiota and the host have been focused on, to provide an overview of the role of gut microbiota and their unique metabolites in conferring host protection against invading pathogen, regulation of diverse host physiological functions including metabolism, development and homeostasis of immunity and the nervous system. We elaborate on how gut microbial imbalance (dysbiosis) may lead to dysfunction of host machineries, thereby contributing to pathogenesis and/or progression toward a broad spectrum of diseases. Some of the most notable diseases namely Clostridium difficile infection (infectious disease), inflammatory bowel disease (intestinal immune-mediated disease), celiac disease (multisystemic autoimmune disorder), obesity (metabolic disease), colorectal cancer, and autism spectrum disorder (neuropsychiatric disorder) have been discussed and delineated along with recent findings. Novel therapies derived from microbiome studies such as fecal microbiota transplantation, probiotic and prebiotics to target associated diseases have been reviewed to introduce the idea of how certain disease symptoms can be ameliorated through dysbiosis correction, thus revealing a new scientific approach toward disease treatment. Toward the end of this review, several research gaps and limitations have been described along with suggested future studies to overcome the current research lacunae. Despite the ongoing debate on whether gut microbiome plays a role in the above-mentioned diseases, we have in this review, gathered evidence showing a potentially far more complex link beyond the unidirectional cause-and-effect relationship between them

Signal Penetration towards Wooden Building Construction Materials

This paper emphasize on the effect of mobile signal penetration towards wooden building construction materials in Malaysia. The results of signal strength measurement at frequency 900MHz in the anechoic chamber with different types of wooden building construction materials and thickness is presented. The objectives of these experiments are to identify the types of wooden building materials in Malaysia that have significant impact into signal penetration and determine the effect of the identified wooden materials thickness towards signal penetration into building materials. This paper also report on the anechoic chamber and experiment setup that is used in the experimen