Pengaruh Kualitas Produk, Harga, Dan Saluran Distribusi Terhadap Loyalitas Pelanggan Majalah Swa Melalui Variabel Kepuasan Pelanggan (Studi Kasus Pada Pelanggan Majalah Swa Di DKI Jakarta)

Customer loyalty is a goal that has to be achieved by a company. To be able to get loyal customers, SWA magazine needs to pay attention on the factors that influence customers\u27 loyalty. Moreover, business and economy themed magazines are mushrooming, leading to the opportunity for the readers to move from one magazine to another.This research aimed to ascertain the effect of product quality, price, and distribution channel on customer loyalty of SWA magazine in Jakarta through customer satisfaction variable both simultaneously and partially. The hypothesis was there was an effect of product quality, price, and distribution channel on customer loyalty of SWA magazine in Jakarta through customer satisfaction variable both simultaneously and partially. The type of this research was explanatory research with 97 respondents with multi stage sampling technique through questionnaire and interview. The data was analyzed using linear regression method with the assistance of SPSS 16.0.The result of this research showed that product quality, price and distribution channel variables had significant and positive effect partially on customer satisfaction. Product quality variable did not have partially significant effect on customer loyalty. Price and distribution channel variables had partially significant and positive effect on customer loyalty. Product quality and price variables had simultaneously positive and significant effect on customer satisfaction while distribution channel had simultaneously negative effect on customer satisfaction. Simultaneously, product quality, price, and distribution channel variables had positive effect and not significant effect on customer loyalty. Partially, customer satisfaction had positive and significant effect on customer loyalty.Based on the result of this research, a conclusion was drawn that customers\u27 perception on product quality, price, and distribution channel was good. Customers\u27 satisfaction and loyalty of SWA magazine were also good. The company was suggested to improving the product quality, adjusting the price and boosting the distribution channel of SWA magazine in accordance with customers\u27 needs and expectation, so that, customers can feel the satisfaction and decided to be loyal customers

Distribution of number of the inter- and intra-phylum transferred genes across pathway.

<p>The figure displays variation in the number of transferred gene sets between inter-phylum HGT and intra-phylum HGT. The Boxplots show the number of genes transferred to each <i>Chlamydia</i> species distributed across KEGG Pathways. Each row denotes inter- and intra-phylum HGT genes. The y-axis indicates the number of received genes to <i>Chlamydia</i> species counted.</p

Horizontal gene transfer of Chlamydia: Novel insights from tree reconciliation

<div><p>Recent comparative genomics studies have suggested that horizontal gene transfer (HGT) is one of the major processes in bacterial evolution. In this study, HGT events of 64 <i>Chlamydia</i> strains were investigated based on the pipeline employed in HGTree database constructed in our recent study. Tree reconciliation method was applied in order to calculate feasible HGT events. Following initial detection and an evaluation procedure, evidence of the HGT was identified in 548 gene families including 42 gene families transferred from outside of <i>Chlamydiae</i> phylum with high reliability. The donor species of inter-phylum HGT consists of 12 different bacterial and archaeal phyla, suggesting that <i>Chlamydia</i> might have even more various host range than in previous reports. In addition, each species of <i>Chlamydia</i> showed varying preference towards HGT, and genes engaged in HGT within <i>Chlamydia</i> and between other species showed different functional distribution. Also, examination of individual gene flows of niche-specific genes suggested that many of such genes are transferred mainly within <i>Chlamydia</i> genus. Our results uncovered novel features of HGT acting on <i>Chlamydia</i> genome evolution, and it would be also strong evidence that HGT is an ongoing process for intracellular pathogens. We expect that the results provide more insight into lineage- and niche-specific adaptations regarding their infectivity and pathogenicity.</p></div

Distribution of received HGT gene sets across COG functional categories.

<p>The functional categories are according to the COG database [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0195139#pone.0195139.ref026" target="_blank">26</a>]. (A) It shows the distribution of genes received from <i>Chlamydia</i>. (B) It shows the distribution of received genes from organisms other than <i>Chlamydiae</i> phylum. Genes from all functional categories (Cellular processes and signaling, Information storage and processing, and Metabolism) are subject to transfer. In contrast, in inter-phylum transfers, genes related to metabolism, and information storage and processing are assigned relatively high (31% and 49%, respectively), while only 16% of cellular processes and signaling genes are assigned.</p

ROC curves for different kinship-based subsets to evaluate the suitability of specific farm groups with the LogitBoost classifier.

<p>To calculate sensitivity and specificity, data were divided in half and used as a training and test set. Threshold-specific performance could then be monitored using continuous cutoffs based on the ROC curves. All processes were conducted for the four subsets with two approaches. The D89 class showed the lowest performance in most cases.</p

Distribution of the ratio of transferred genes of 64 chlamydial genomes.

<p>Boxplots show the distribution of the ratio of transferred genes for organisms in each <i>Chlamydia</i> species. Each plot shows the distribution of ratios of transferred genes from organisms outside of <i>Chlamydiae</i> phylum (Top) and ratios of transferred genes from <i>Chlamydia</i> (Bottom). The x-axis indicates of 8 <i>Chlamydia</i> species used in this study, and the y-axis indicates ratio of the number of transferred genes in the number of total gene in each strain. The great amount of variability in the number of transferred genes between species is derived mainly from intra-phylum transfer events, on the other hands, the ratio of the inter-phylum transferred genes is shown consistently low across all strains.</p

Results of sample size and number of classes correction.

<p>Data for the three simulation analyses were generated by adjusting three factors (sample size, number of classes, or both). For the top box-plot, sample size was set at 67, which was the smallest of the four subsets. For the middle box-plot, the number of classes was set at two, which was also the smallest for the four subsets. Finally, the bottom box-plot was generated using 26 samples (the smallest sample size among all classes) for each class (binary class). To determine the classification accuracies, 10-fold cross-validations were performed. All of these processes were conducted 1000 times using 92 features. Red dots represent the previously calculated observed accuracies.</p

KEGG pathways of transferred genes of each <i>Chlamydia</i> species.

<p>The figure displays variation in the number of transferred gene sets across KEGG Pathways. The Boxplots represent the number of genes associated in corresponding KEGG Pathway transferred to each <i>Chlamydia</i> species. Each row denote 8 different <i>Chlamydia</i> species used in this study. The y-axis indicates the number of genes transferred counted.</p

Donor organisms of HGT of 8 <i>Chlamydia</i> species.

<p>(A) This figure illustrates a global pattern of HGT in 8 <i>Chlamydia</i> species analyzed. The phylogenetic tree of 2,472 prokaryotic species was constructed with FastTree (ver. 2.9) based on multiple sequence alignment of 16S rRNA. Tree was visualized using Interactive Tree of Life Version 3.4.3 (<a href="http://itol.embl.de/" target="_blank">http://itol.embl.de/</a>) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0195139#pone.0195139.ref028" target="_blank">28</a>]. Each colored strip of the outer circle represents different phylum of bacteria and archaea. The actual donor phylums are highlighted with asterisk. From inside out, circled bar charts represent <i>C</i>. <i>abortus</i>, <i>C</i>. <i>caviae</i>, <i>C</i>. <i>felis</i>, <i>C</i>. <i>muridarum</i>, <i>C</i>. <i>pecorum</i>, <i>C</i>. <i>pneumoniae</i>, <i>C</i>. <i>psittaci</i>, and <i>C</i>. <i>trachomatis</i>, respectively. Each bar chart shows the gene transfers from corresponding organism in the tree, and the vertical bars represent the number of HGT events between corresponding donors and recipient organisms. (B) Heatmap showing the number of HGTs between <i>Chlamydia</i> and non-chlamydial donor species. Rows represent all identified donor species (SV ≥ 0.9); Columns represent recipient <i>Chlamydia</i> species. Only HGT events have SV ≥ 0.9 are shown here.</p

Scatter plots for four subsets with different kinship coefficient criteria (X-axis: Eigen vector 1 and Y-axis: Eigen vector 2).

<p>Scatter plots were generated by PCA using GCTA [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0139685#pone.0139685.ref024" target="_blank">24</a>]. Each point represents an individual animal and is colored based on the farm information. When the kinship cutoff increased, each farm was more clearly distinguishable.</p