scholarly journals Decision Support System for Service Quality Using SMART and Fuzzy ServQual Methods

2021 ◽  
Vol 9 (1) ◽  
pp. 83
Author(s):  
Sri Lestari ◽  
Muhammad Reza Romahdoni

The Regional Technical Implementation Unit of the Tresna Werdha Social Home for the Elderly of Natar South Lampung does not yet have a systematic calculation, which can be a parameter of the quality level of each service. This study develops a system to solve the problem of the calculation gap between perceptions and expectations in determining the quality level of each service, namely the Decision Support System using the Simple Multi-Attribute Rating Technique Method (SMART) and Fuzzy Service Quality. The results showed that the SMART method obtained an accuracy rate of 85.71%, 75.00% Precision, 100% Recall, and 100% Specificity, while the Fuzzy Service Quality method obtained an accuracy rate of 71.43%, 66.67% Precision, 66.67% Recall, and 75.00% Specificity. So that the Simple Multi-Attribute Rating Technique Method (SMART Method) is superior, so it is more appropriate to solve the problem of decision-making on the level of service quality at the Regional Technical Implementation Unit of the Tresna Werdha Elderly Social Home, Natar South Lampung.

2017 ◽  
Vol 52 (1) ◽  
pp. 100-110
Author(s):  
F. Lagrange ◽  
J. Lagrange ◽  
C. Bennaga ◽  
F. Taloub ◽  
M. Keddi ◽  
...  

1998 ◽  
Vol 59 (1) ◽  
pp. 29-37 ◽  
Author(s):  
John V. Richardson

Designed for librarians, Question Master (QM) (at http://purl.org/net/Question_Master) is a decision-support system automating some of the more routine, fact-type reference questions encountered in libraries. A series of Web pages guides librarians through a set of clarifying questions before making recommendations of an appropriate electronic or relevant print resource from WorldCat, the OCLC Online Union Catalog. The goal is to improve the accuracy of reference transactions, which in turn should lead to increased end-user satisfaction. Based on usability studies of QM’s biographical module, this study found that although the system already was easy to use, its usability could be improved in several ways. Its ability to answer questions was 100 percent, with an accuracy rate of 66 percent compared to Weil’s 64 percent accuracy. In addition, QM accuracy was substantially better than most reported studies of real reference environments and certainly better than the Internet results of 20 percent for HotBot and 30 percent for AltaVista.


Telematika ◽  
2018 ◽  
Vol 15 (1) ◽  
pp. 30
Author(s):  
Putri Taqwa Prasetyaningrum ◽  
Dhana Sudana

AbstractThe selection of elderly visa-kitas receiver to asses the cantidate who qualify at PT Mulia Prima Permai Jakarta is not an easy process. The difficulty of the procedure require in Embassy makes PT Mulia Prima Permai needs to choose the most effective way to do the selection of elderly visa applicants before sending it to the Embassy. One of the options is by using the decision making of Fuzzy Multi Attribute Dictition Making (MADM) method. The Fuzzy Multi Attribute Diction Making Method is expected can help to solve the problem of elderly visa acceptance selection effectively. In this research, it is necessary to compile some criteria and alternatives. To support the selection process of acceptance for the elderly visa kitas a Decision Support System of selection was created by using Fuzzy Multi Attribute Dicision Making (MADM) method. The Decision Support System is useful to process the required data (input) of elderly visa kitas application and outcome the request status output in the form that 100% match the results of the calculation with PT. Mulia Prima Permai.Keywords: Fuzzy Multi Attribute Dicision Making (MADM), Elderly visa-kitas selection, Decission support systemAbstrakSeleksi penerimaan visa-kitas lansia, untuk menilai calon peserta yang memenuhi syarat di PT.Mulia Prima Permai Jakarta bukanlah suatu kegiatan yang mudah. Banyaknya prosedur seleksi pada tingkat Dirjen Imigrasi, membuat PT.Mulia Prima Permai harus mengambil keputusan yang tepat untuk menyeleksi persyartan pemohon visa sebelum dikirim ke Dirjen Imigrasi, ini menjamin permohonan visa-kitas dapat dipertangung-jawabkan dan disetujui. Salah satu solusi dalam memecahkan masalah seleksi penerimaan visa kitas lansia tersebut adalah dengan pengambilan keputusan metode Fuzzy Multi Attribute Dicision Making (MADM). Metode Fuzzy Multi Attribute Dicision Making dapat membantu menyelesaikan permasalahan seleksi penerimaan visa kitas lansia tersebut dengan efektif. Dalam penelitian ini, untuk mendapatkan solusi pengambilan keputusan seleksi penerimaan visa kitas lansia tersebut, perlu disusun beberapa kriteria dan alternatif. Untuk membantu proses seleksi penerimaan visa kitas lansia tersebut, maka dibuat sebuah Sistem Pendukung Keputusan seleksi penerimaan visa kitas lansia tersebut dengan menggunakan metode Fuzzy Multi Attribute Dicision Making (MADM). Sistem Pendukung Keputusan berguna untuk mengolah data-data syarat (input) permohonan visa kitas lansia dan mengahsilkan output status permohonan berupa kesamaan hasil 98% cocok terhadap hasil perhitungan PT. Mulia Prima Permai.Kata kunci: Fuzzy Multi Attribute Dicision Making (MADM), Seleksi visa-kitas lansia, Sistem Pendukung Keputusan


2019 ◽  
Vol 125 ◽  
pp. 23008 ◽  
Author(s):  
Septya Maharani ◽  
Swadika Ibnu Persyadha ◽  
Dedy Cahyadi ◽  
Mufadhol Mufadhol

Sangkuriang catfish is a famous clarias clan fish form his slick and long body non-scaly, with dorsal fins and a long rear fin, which sometimes merges into the tail fin makes it look like a short eel. Catfish also have additional breathing apparatus in the form of modifications from gill arc. There is a pair of fins that are spines bone that is sharp, on the pectoral fin. Some things to consider in order to select superior seedlings of sangkuriang catfish such as size, weight, color, physical defect, even water conditions, which in reality not all catfish farmers know about it. This decision support system using the Weighted Product (WP) method is one of the methods that use the true value in determining the rating of each alternative on each criterion to determine the conclusion of a problem. Based on the results of testing the Selection Decision Support System of the Superior Broodstock Sangkuriang Catfish has an accuracy rate of 87.5%.


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