JUAL RANJANG PASIEN/HOSPITAL BED MURAH
RANJANG ELEKTRIK OTOMATIS 3 CRANK MURAH
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JUAL RANJANG PASIEN TEMPAT TIDUR RUMAH SAKIT
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Jual Kursi Roda Murah
KURSI  RODA  BARU  HANYA  Rp. 650.000
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JUAL KURSI RODA BARU MULAI DARI Rp.650.000 (HARGA TERMURAH NIH, BURUAN SEBELUM KEHABISAN)
Silahkan pilih produk berikut :

Kursi roda biasa (standart) merk Sella

Kursi roda 3 in 1 (utk moving, BAB, ranjang tidur) merk Sella

Kursi roda alumunium merk Sella

Kursi roda elektrik

Kursi Roda Standard Velg Racing Sella

Kursi roda 2 in 1 (utk moving dan BAB) merk Sella

Kursi roda alumunium merk Sella

Kursi roda travel (bisa jadi kursi roda untuk anak)

Kursi Commode (untuk BAB) + Roda

Kursi Commode (untuk BAB) tanpa Roda

Kursi Commode Fix tanpa Roda Polycare

Kursi roda travel (bisa jadi kursi roda untuk anak)

Kursi roda 2 in 1 merk Shima

Tabung Oksigen (berbagai ukuran) + Regulator + Trolley

Walker + Roda (Alat Bantu Jalan)

Walker tanpa Roda

Tongkat Kaki 1 Gagang Leher Angsa

Tongkat Lipat

Tongkat Kaki 4

Tongkat Ketiak

Tongkat Kaki 1 biasa

Tongkat Duduk

Matras

Kasur anti dicubitus + electrik pump

Arm sling

Bantal Panas (Penghangat Tubuh)

Pispot BAB Stainless

Pispot BAB plastik

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Google Page Rank Base on Backlinks



Hello all, I just find a great post from blogger friend article (at dotcomexpert.blogspot.com). It's about Google Page Rank.




At present Google is the leading worldwide search engine, it supports multiple languages and has one of the most sophisticated search engine algorithms around. If you bear in mind Google's unprecedented popularity and simplicity you will see that your site needs to master its rankings for your particular key phrases, this will usual mean that other search engines catch on to your website with similiar positionings. It isnt easy to understand such a complex system but you need to master it to give your site an edge in an increasingly demanding market.

Google is a mystery as far as search engine theories go, you essentially have to try and understand what makes one site rank better than another. Although the fore mentioned algorithms are constantly changing Google themselves have shown link backs play a large roll in a search engines view of any web page, in order to do well a website needs to have links from other sites directly to it. Not only that the websites that link to it are usually respected by search engines themselves.


PageRank is google's own measure of a website, there is much speculation on how it is composed but a key factor is proven to be back links, below is a scale that is widely believed to be the backbone of how it judges your website. The amount of PageRank distributed around the internet is believed average at 1 for every website, thats why we begin this at PageRank 2.


PR 2 = 0-6 Link backs

PR 3 = 6-60 Link backs

PR 4 = 60-600 Link backs

PR 5 = 600-6000 Link backs

PR 6 = 6000-60000 Link backs

PR 7 = 60000-600000 Link backs

PR 8 = 600000-6000000 Link backs

PR 9 = 6000000-60000000 Link backs

PR 10 = 60000000-600000000 Link backs


We used a base number of 6 for this example although it is disputed whether it could be 5 or lower. The amount of back links your website recieves plays a large role within your search engine positioning but a strong anchor text and title tag for your links is also key to success, you can see how to do this as demonstrated below.

a href="http://www.linkhere" title="Keyword Title Text" Keyword Anchor Text



PageRank analyst more than link backs. External links are known to "leak" page rank from your website, in simple terms - your website can cast one vote against each websites it links to, if these are external links it takes from a pool of Page Rank that your website has to offer.







It is recommended you either seek reciprocal links from websites you link to or use other methods like JavaScript to prevent your Page Rank from being dispersed from your website.


This is another detail point of view from Wikipedia.
Explanations from Wikipedia in English :

Page Rank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at more than the sheer volume of votes, or links a page receives; it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important".


In other words, a PageRank results from a "ballot" among all the other pages on the World Wide Web about how important a page is. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it ("incoming links"). A page that is linked to by many pages with high PageRank receives a high rank itself. If there are no links to a web page there is no support for that page.

Google assigns a numeric weighting from 0-10 for each webpage on the Internet; this PageRank denotes a site’s importance in the eyes of Google. The PageRank is derived from a theoretical probability value on a logarithmic scale like the Richter Scale. The PageRank of a particular page is roughly based upon the quantity of inbound links as well as the PageRank of the pages providing the links. It is known that other factors, e.g. relevance of search words on the page and actual visits to the page reported by the Google toolbar also influence the PageRank.[citation needed] In order to prevent manipulation, spoofing and Spamdexing, Google provides no specific details about how other factors influence PageRank.[citation needed]

Numerous academic papers concerning PageRank have been published since Page and Brin's original paper.[4] In practice, the PageRank concept has proven to be vulnerable to manipulation, and extensive research has been devoted to identifying falsely inflated Page Rank and ways to ignore links from documents with falsely inflated Page Rank.



Explanations from Wikipedia in Bahasa:

PageRank, memiliki konsep dasar yang sama dengan link popularity, tetapi tidak hanya memperhitungkan “jumlah” inbound dan outbound link. Pendekatan yang digunakan adalah sebuah halaman akan diangap penting jika halaman lain memiliki link ke halaman tersebut. Sebuah halaman juga akan menjadi semakin penting jika halaman lain yang memiliki rangking (pagerank) tinggi mengacu ke halaman tersebut.

Dengan pendekatan yang digunakan PageRank, proses terjadi secara rekursif dimana sebuah rangking akan ditentukan oleh rangking dari halaman web yang rangkingnya ditentukan oleh rangking halaman web lain yang memiliki link ke halaman tersebut. Proses ini berarti suatu proses yang berulang (rekursif). Di dunia maya, ada jutaan bahkan milyaran halaman web. Oleh karena itu sebuah rangking halaman web ditentukan dari struktur link dari keseluruhan halaman web yang ada di dunia maya. Sebuah proses yang sangat besar dan komplek.

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