Faktor-Faktor Yang Mempengaruhi Motivasi Para Investor Pada Keputusan Pembelian Residensial Properti Di Yogyakarta

Penelitian ini dilakukan untuk mengetahui pengaruh faktorlokasi, keuangan, fitur rumah, lingkungan sekitar terhadap motivasi konsumen terhadap pembelian residensial properti di Yogyakarta. Teori yang digunakan pada penelitian ini adalah teori investasi dari Sharpe et al 2006, teori motivasi konsumen dari buku Kotler 2016 dan teori pendukung lainnya. Pada penelitian ini disebarkan sebanyak 150 kuesioner. Penelitian ini menggunakan alat analisis regresi linear berganda dengan program SPSS 19for windows. Hasil penelitian ini didapatkan faktorlokasi, keuangan, fitur rumah, lingkungan sekitar berpengaruh positif terhadap motivasi konsumen terhadap pembelian residensial properti di Yogyakarta

Benthic percentage cover by category at each sampling site.

<p>Each site was sampled with four replicate transects at each depth except 5m at RC which had three. Trends are plotted with a loess line and their 95% confidence intervals. CCA = Coralline Crustose Algae. Panels represent different sites: (a) RC, (b) CV, (c) RP, (d) LB, (e) TMA.</p

Different potential bases for a definition of MCEs.

<p>Different potential bases for a definition of MCEs.</p

Transects discriminated by observed scleractinia communities.

<p>NMDS plot of transects based on Bray-Curtis dissimilarities from Scleractinia species counts. Symbols denote site and colours depths.</p

Biodiversity metrics and their relationships with depth.

<p>Comparison of different metrics for detecting changes in reef structure. Data are pooled from all sites. Shaded areas are one standard error from the mean (the denominator of the equation was the number of sites sampled at a given depth). The colour coding of the shading represents assemblages consistent with previous plots. Dashed lines are the dataset average boundaries for the deepest transects statistically significantly aligning as shallow and the shallowest transects similarly aligning as deep. Other biodiversity measures and rates of change are plotted for comparison. Note other metrics show no obvious features to demark a switch in community composition.</p

A map of assemblages at transect locations.

<p>Circles have been coloured based on cluster assignment of a transect at the indicated site and depth, with four transects (circles) per depth at each site. The number of the cluster relates to the analyses explicitly presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0183075#pone.0183075.s002" target="_blank">S2 Table</a>. Dual alignment was assigned to any transect for which R provided an indicator value for more than one cluster. There are 4 transects visualised per depth at a site. One 70m transect at TMA was removed as it captured no Scleractinia. The video file for one 5m transect at RC was corrupted. (a) Analysis based on species level ID. (b) Analysis based on genus level ID.</p

Dive site locations around the island of Utila, Honduras, Caribbean.

<p>Sites are listed with GPS co-ordinates and abbreviations starting left in WGS84 format: (1) Raggedy Cay (RC: N 16.09065964, W -86.9941015), (2) The Maze (TMA: N 16.11266214, W -86.94911793), (3) Little Bight (LB: N 16.07926302, W -86.92942222), (4) Coral View (CV: N 16.08823274,W -86.91094506), (5) Rocky Point (RP: N 16.08784039, W -86.88423403). The base map was sourced from GADM database of Global Administrative Areas under a CC BY licence with permission.</p

Supplementary Material The supplementary information contains four figures S1-S4. These figures depict the abundance, richness, and phylum level taxa between the seamounts analysed in this manuscript. In addition, we have a supplementary figure graphically showing the error output from the Multivariate Regression Trees run on the microbial and environmental data. from Microbe biogeography tracks water-masses in a dynamic oceanic frontal system

Dispersal limitation, not just environmental selection, plays an important role in microbial biogeography. The distance–decay relationship is thought to be weak in habitats where dispersal is high, such as in the pelagic environment, where ocean currents facilitate microbial dispersal. Most studies of microbial community composition to date have observed little geographical heterogeneity on a regional scale (100 km).We present a study of microbial communities across a dynamic frontal zone in the South West Indian Ocean and investigate the spatial structure of the microbes with respect to the different water masses separated by these fronts.We collected 153 samples of free-living microorganisms from five seamounts located along a gradient from subtropical to subantarctic waters and across three depth layers, (i) the sub-surface chlorophyll maximum (approx. 40 m), (ii) the bottom of the euphotic zone (approx. 200 m) and (iii) the benthic boundary layer (300–2000 m). Diversity and abundance of microbial operational taxonomic units (OTUs) was assessed by amplification and sequencing of the 16S rRNA gene on an Illumina MiSeq platform.Multivariate analyses showed that microbial communities were structured more strongly by depth than by latitude, with similar phyla occurring within each depth stratum across seamounts. The deep layer was homogeneous across the entire survey area, corresponding to the spread of Antarctic intermediate water. However, within both the sub-surface layer and the intermediate depth stratum there was evidence for OTU turnover across fronts. The microbiome of these layers appears to be divided into three distinct biological regimes corresponding to the subantarctic surface water, the convergence zone and subtropical. We show that microbial biogeography across depth and latitudinal gradients is linked to the water-masses the microbes persist in, resulting in regional patterns of microbial biogeography, that correspond to the regional scale physical oceanography

Map of study sites around Utila, Honduras.

<p>Survey locations are marked, with numbers indicating sites as follows: (1) Spotted Bay, (2) The Maze, (3) Stingray Point, (4) Little Bight, (5) Black Coral Wall, (6) Coral View and (7) Lighthouse Reef. Inset map shows the location of Utila relative to the Caribbean region. Map sourced from GADM database of Global Administrative Areas under a CC BY licence with permission.</p

Changes in fish communities with depth.

<p>(A) Species richness, (B) abundance, (C) biomass down the depth gradient. Figure shows mean and SE. Letters indicate statistically different groups at the p<0.05 level.</p