BAIHAQI, ARDHA AULIA (2017) Decision Support System Berbasis Expert System Dalam Pemilihan Mobil Bekas Menggunakan Metode AHP dan Forward Chaining. Other thesis, Universitas Sebelas Maret.
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Abstract
Purchasing a secondhand car shall be accompanied by experience and knowledge about machine, spare parts, vehicle body, car electrical , and others. On the other side, buyers sometimes are being confused due to some options of the car they want to buy. Hence needed an expert system based decision support system to help buyers in choosing a secondhand car. Three crucial variables are involved in the expert system, consist of car documents, machine, and vehicle frame/body. Forward Chaining method is applied in this expert system which is suitable in this case where premises are collected and ends in a form of a result or conclusion. The result of the expert system is also one of the variable input towards the decision support system. While in the decision support system, six additional variables are calculated, consist of year of assembly, price, design marks, colour marks, plate region, and the result of the expert system itself. On its process, Analytical Hierarchy Process(AHP) method is applied . This method is being chosen due its consistency of weight. The system has been tested using blackbox testing method shows that it is running well and an evaluation of user satisfaction is obtained from the perspective of the system’s user interface, all two functions in the system which contains expert system function and DSS function, and overalls. From ten users, majority of them rated 4 out of a scale from 1-5 towards each scoring parameter, except overall parameter which was rated 5. Keywords: AHP, Decision Support System, Expert System, , Forward Chaining
Item Type: | Thesis (Other) |
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Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam Fakultas Matematika dan Ilmu Pengetahuan Alam > Informatika |
Depositing User: | Fransiska Meilani f |
Date Deposited: | 25 Mar 2017 16:18 |
Last Modified: | 25 Mar 2017 16:18 |
URI: | https://eprints.uns.ac.id/id/eprint/32419 |
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