SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA PENINGKATAN PRESTASI AKADEMIK MENGGUNAKAN METODE PREFERENCE SELECTION INDEX

Rizal Tjut Adek, Hafizh Al Kautsar Aidilof, Ali Imran Nasution
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引用次数: 1

Abstract

The rapid development of information technology is in line with the development of computational methods that help solve various problems, one of which is the method of decision support systems. Higher education institutions, especially Malikussaleh University, have many scholarship programs like the Academic Achievement Improvement Scholarship or PPA. PPA is a scholarship that has existed since 2012 which was launched and allocated by the Ministry of Research, Technology and Higher Education with a focus on aspects of improving academic achievement. However, the selection system is still conventional or manual, so it takes longer. This study aims to implement a decision-making system in an application to recommend PPA scholarship recipients automatically. The existence of an automatic decision-making system will be more efficient and effective to help speed up the process of making decisions based on the criteria they have. Some of the assessment criteria used include GPA, semester, the total income of parents, and the number of dependents of parents. Also, the alternative data used are 825 data. The method applied to the system is the Preference Selection Index (PSI) method, which is used as a reference for ranking results and measuring accuracy. In this method, it is not necessary to determine the relative importance between the criteria. In addition, this method does not have certain conditions that require calculating the weight of the related criteria in decision-making problems. The research steps used are the waterfall model with several main stages, namely planning, modeling, implementation, and testing. This system is built using PHP as the programming language and MySQL as the database. Based on system testing, it is found that the system is following the design and can provide ranking results in the form of recommendations for scholarship recipients with a comparison of stakeholder decisions and that the system using the PSI method is 66%. The PSI method can be implemented by displaying each alternative's most considerable PSI value by displaying the ranking results. This PPA Scholarship Acceptance DSS application can be used as an alternative to making it easier for related parties to determine who is entitled to receive the scholarship.
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支持接受奖学金的系统使用参考索引方法提高学业成绩
信息技术的快速发展与帮助解决各种问题的计算方法的发展相一致,决策支持系统方法就是其中之一。高等教育机构,尤其是Malikussaleh大学,有许多奖学金项目,如学业成就提高奖学金或PPA。PPA是一项自2012年以来就存在的奖学金,由研究、技术和高等教育部发起并分配,重点关注提高学术成就的各个方面。然而,选择系统仍然是传统的或手动的,所以需要更长的时间。本研究旨在应用决策系统自动推荐PPA奖学金受助人。自动决策系统的存在将更有效率和有效地帮助加快根据它们所拥有的标准作出决定的进程。评价标准包括平均成绩(GPA)、学期、父母的总收入、父母的家属人数等。另外,使用的替代数据是825数据。应用于该系统的方法是偏好选择指数(PSI)方法,该方法用作对结果排序和测量精度的参考。在这种方法中,不需要确定标准之间的相对重要性。此外,该方法在决策问题中不存在需要计算相关准则权重的特定条件。所使用的研究步骤是瀑布模型,有几个主要阶段,即计划、建模、实现和测试。本系统以PHP为编程语言,MySQL为数据库构建。通过系统测试,发现该系统遵循设计,可以通过利益相关者决策的比较,以推荐的形式为奖学金获得者提供排名结果,使用PSI方法的系统为66%。PSI方法可以通过显示排序结果来显示每个备选方案的最可观的PSI值来实现。这个PPA奖学金接受DSS申请可以作为替代方案,使相关方更容易确定谁有资格获得奖学金。
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