Optimizing Library Donation Book Display: SMART and WASPAS Comparison

Q2 Economics, Econometrics and Finance Buletin Ekonomi Moneter dan Perbankan Pub Date : 2023-10-10 DOI:10.32832/moneter.v11i2.448
Afifah Trista Ayunda, Wahyu Tisno Atmojo
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Abstract

The book display has a significant impact on visitor experience and the efficiency of finding reading materials in the library. In this context, optimizing effective and systematic decisions becomes crucial. This research employs the SMART (Specific, Measurable, Achievable, Relevant, Time-bound) and WASPAS (Weighted Aggregated Sum Product Assessment) approaches in selecting the optimal book display for donations. The SMART method assists in formulating specific criteria and indicators to measure effectiveness, while the WASPAS method utilizes assessment principles based on priority with weighted criteria to consider diverse aspects. The required data for this study includes information about criteria and weighting of the book display. This data will be comprehensively analyzed using both of these approach methods. The accuracy level testing resulted in a value of 99.9917% for the SMART method, which is slightly better than WASPAS with a value of 99.9916%. Based on the above suitability level calculation, the SMART approach is more relevant in this situation to address the issue of recommending donation book displays in the library with the goal of minimizing space and improving book search efficiency.
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优化图书馆捐赠图书展示:SMART和WASPAS的比较
图书陈列对读者体验和在图书馆查找阅读资料的效率有着重要的影响。在这种情况下,优化有效和系统的决策变得至关重要。本研究采用SMART (Specific, Measurable,可实现,Relevant, Time-bound)和WASPAS (Weighted aggregate Sum Product Assessment)方法来选择最佳的捐赠图书陈列。SMART方法有助于制定具体的标准和指标来衡量有效性,而WASPAS方法利用基于优先级的评估原则和加权标准来考虑各个方面。本研究所需的数据包括关于图书展示的标准和权重的信息。这些数据将使用这两种方法进行综合分析。SMART方法的准确度水平测试结果为99.9917%,略优于WASPAS的99.9916%。基于以上的适宜性水平计算,SMART方法更适合于这种情况,以最小化空间和提高图书检索效率为目标来解决图书馆捐赠图书展示推荐问题。
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来源期刊
Buletin Ekonomi Moneter dan Perbankan
Buletin Ekonomi Moneter dan Perbankan Economics, Econometrics and Finance-Finance
CiteScore
2.20
自引率
0.00%
发文量
1
审稿时长
5 weeks
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