scholarly journals Decision Support System to Choose Private Higher Education Based on Service Quality Model Criteria in Indonesia

2019 ◽  
Vol 1179 ◽  
pp. 012036
Author(s):  
Rina Indrayani ◽  
Ragil Pardiyono
2017 ◽  
Vol 2 (1) ◽  
pp. 240-248 ◽  
Author(s):  
Vassilis Kostoglou ◽  
Konstantinos Kafkas

Abstract This work is an attempt to contribute to the knowledge and guidance of young people (lyceum graduates, higher education students and recent graduates) regarding important issues related to their career and vocational prospects. These issues are related to major relevant questions such as 'what' and 'where' to study, as well as the contents and the prospects of all provided specializations by the departments of Greek institutes of higher education. This article focuses on the analysis and the design of a mobile-based decision support system (DSS) to assist its users in getting thoroughly informed about HE studies in Greece, and eventually in choosing their vocational prospects. An extensive literature and applications review has revealed that there are no such DDS systems, giving to this work an innovative character. The article contains all main elements of system's architecture and design including the essential technical information, presents the main features and representative screenshots of the mobile-based application and comes to conclusions and future suggested work.


Author(s):  
Mark Anthony A. Lazo ◽  
Louise Mark Kit S. Geronimo ◽  
Lester John T. Comilang ◽  
Kenneth John B. Cayme ◽  
Jay M. Ventura ◽  
...  

The paper presents a multiparameter aquaculture water quality tester with a decision support system. A device was developed to aid aquaculture farmers in monitoring water quality parameters and maintaining or achieving optimal levels by suggesting ways on how a farmer can respond to such measurements. The AQUACISION device measures six different water quality parameters; temperature, practical salinity, pH level, total dissolved solid (TDS), oxidation-reduction potential (ORP), and algae density. Measurements were sent to the AQUACISION application where they were processed to determine the course of action that was best to maintain or achieve optimal levels using fuzzy rules. Based on the comparative result, the AQUACISION was accurate in measuring temperature, practical salinity, pH level, TDS, and ORP during the actual testing. The application also received an excellent rating on the ISO/IEC 25010 software quality model standard


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