Sebenernya tulisan ini saya buat atas request dari Bos untuk ngisi Company Blog, cuman ternyata gak jadi kepakek 
Ya daripada dah susah-susah nulis dan ngitung tapi gak ada yang baca, mending saya share di sini aja kan? Sapa tau bermanfaat
Versinya masih bahasa inggris, jadi translate sendiri yee… hehehe…
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ANALYTIC HIERARCHY PROCESS
Success is not miracle or destiny, but it will come with hardworks, efforts and willpower. But don’t forget it’s relies on making the right decision. Complex information may be available, but with no obvious interpretation. That’s why we needed the Decision Support System (DSS).
“You only have to do a very few things right in your life so long as you don’t do too many things wrong.”
–Warren Buffett
What is DSS? Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly-designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions.
But what is AHP? The Analytic Hierarchy Process (AHP) is a structured technique for helping people deal with complex decisions. Rather than prescribing a “correct” decision, the AHP helps people to determine one that suits their needs and wants. Based on mathematics and psychology, it was developed by Thomas L. Saaty in the 1970’s. The AHP provides a comprehensive and rational framework for structuring a problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions.
And Why AHP? Using AHP is easier and faster for making decision. It’s help us to tailor solutions to meet our exact needs, because it’s not about the technology but the right solutions for our needs and wants, it’s all about our feelings.
How to used it? We’ll try to use Analytic Hierarchy Process (AHP) for Pete’s problem below.
One day, Pete planned to open new branch office in Indonesia. But he still confused to open it at Jakarta, Surabaya, Medan or Denpasar. As a director, he knew that the important factors for new office are location of building, cost for maintenance, market area and long-term prospect. Smartly, Pete decided to use Analytic Hierarchy Process (AHP) for help him solved the problem.
The first step in the Analytic Hierarchy Process is to model the problem as a hierarchy. In doing this, participants explore the aspects of the problem at levels from general to detailed, then express it in the multileveled way that the AHP requires. As they work to build the hierarchy, they increase their understanding of the problem, of its context, and of each other’s thoughts and feelings about both. The Pete’s problem hierarchy could be diagrammed as shown below:
After this, Pete must establish and defined the priorities of the criteria. The Criteria will be compared as to how important they are to the decision makers, with respect to the Goal. Each pair of items in this row will be compared. Pete does this by comparing each pair of objectives and ranking them on the following scale (pair wise comparison values) :

With using pair wise comparison values, Pete judging this value for the relative importance of one criterion over another :
Now, the AHP is going to make some simple calculations to determine the overall weight that Pete is assigning to each objective. This weight will be between 0 and 1, and the total weights will add up to 1. We do that by taking each entry and dividing by the sum of the column it appears in. And it will become:
It’s suggest that about 8% of the objective weight is on Location, 50% of amount of cost, 30% on market area and 13% on long-term prospect.
For a perfectly consistent decision maker, each column should be identical, except for the normalization. By dividing by the total in each column, therefore, we would expect identical columns, with each entry giving the relative weight of the row’s objective. By averaging across each row, we correct for any small inconsistencies in the decision making process.
Our next step is to evaluate all the relatives on each objective. For this step, we can redo the same things like on the criteria. For example let’s take the LOCATION.
Then do the same things for the other criteria (Cost, Market area, Long-term prospect).
For instance, let’s see the table :
By recalling our overall weights and multiply it with relatives on each objectives, we can now get a value for each relative (city):

With the result, Pete thinks his problem was solved and he will open a new branch office at Medan.
*taken from many resources (click picture to enlarge)