Skripsi
PENERAPAN KNOWLEDGE MANAGEMENT SYSTEM MENGGUNAKAN CASE BASED REASONING (CBR) BERBASIS PROGRESSIVE WEB APP ( STUDI KASUS : UNIT KERJA TRAINING DEPARTEMENT PT SANTAI BERKUALITAS SYBERINDO )
The increasing number of students who register for school, resulting in problems that often occur in schools when implementing the admission of new students, namely not enough school capacity to accommodate all students. So that the school selects new students to get the best students. In this study compared the SAW and SMART methods in the admission recommendation system of new participants. Simple Additive Weighing (SAW) is a weighted addition method, SAW performs a weighted sum of all attributes of each alternative. SMART (Simple Multi-Attribute Rating Technique) is a multi-criteria decision-making method based on the theory that each alternative consists of a number of criteria that have values and each criterion has a weight that describes how important it is compared to other criteria. From the test results, the SAW method produces an accuracy percentage of 97,5% and SMART produces an accuracy percentage of 95% so that it can be concluded that the comparison of SAW and SMART is good in the new participant admission recommendation system.
Inventory Code | Barcode | Call Number | Location | Status |
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2307002365 | T93588 | T935882023 | Central Library (Reference) | Available |
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