Boarding House Provider Information with Multi Attribute Utility Theory (MAUT) Method

bit-Tech Pub Date : 2023-04-28 DOI:10.32877/bt.v5i3.729
Suwitno Suwitno, Niki Djanuar Chandra, Benny Daniawan
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Abstract

The increasing rate of population growth in urban areas to find work or study and the high Basic Credit Interest Rates for Home Ownership Loans, the choice of renting a boarding house can be an alternative for those who do not want to stay in the long term. Implementation of Decision Support System provide choices for information system in order to assist the community in choosing a place to live such as a boarding house. One method of Decision Support System is Multi Attribute Utility Theory (MAUT). MAUT can be interpreted as method of systematic comparison by finding the total weight of a set of values in the criteria to obtain results. MAUT method on a web-based information system, it can help people determine the choice of the desired boarding house. The results from the MAUT method will be used an objective consideration for users. The results of this study were tested by Technology Acceptance Model to measure the acceptance of systems. The calculation of TAM uses questionnaire distributed to 88 respondents and based on t-statistics on the TAM test, Perceived Ease of Use (PEOU) against Attitude Toward Using (ATU) is 2.660, Perceived Usefulness (PU) against ATU is 4.218. Then Behavior Intention to Use (BITU) for Actual System Use (ASU) is 16,122 and PU for BITU is 4,218. Where the indicator to have a positive influence when the value is above 1.9894. Meanwhile, ATU against BITU is only 1.179 which means that it does not have a positive influence.
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基于多属性效用理论(MAUT)方法的公寓供应商信息分析
在城市地区寻找工作或学习的人口增长速度不断增加,住房所有权贷款的基本信贷利率很高,对于那些不想长期居住的人来说,选择租寄宿公寓是一种选择。决策支援系统的实施提供资讯系统的选择,以协助社区人士选择居住的地方,例如寄宿公寓。多属性效用理论是研究决策支持系统的一种方法。MAUT可以解释为一种系统比较的方法,通过在标准中找到一组值的总权重来获得结果。MAUT方法是一个基于网络的信息系统,它可以帮助人们确定所希望的寄宿公寓的选择。MAUT方法的结果将作为用户的客观考虑。采用技术接受度模型对研究结果进行检验,以衡量系统的接受度。TAM的计算采用发给88名被调查者的问卷,基于TAM检验的t统计,感知易用性(PEOU)对使用态度(ATU)为2.660,感知有用性(PU)对ATU为4.218。系统实际使用的行为意向(BITU)为16,122,系统实际使用的PU为4,218。当该值高于1.9894时,该指标将产生正影响。同时,ATU对BITU的比值仅为1.179,不存在正向影响。
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