Decision Support System Museum Ambassadors Using Topsis Method

Abstract

Generally, museum ambassador is based on various criteria from several assessment stages. The evaluation criteria for the audition stage are: interview, communication, appearance. The assessment criteria for the quarantine stage are: creativity, ability, liveliness, loyalty, responsibility, and written test. The final stage assessment criteria are: ideas, communication, and appearance. In the selection process, the committee used manual method so it was prone to errors. The decision support system used TOPSIS method. SDLC (System Development Life Cycle) was used as a design method. The research showed a score of 100 which means that the system is accepted by users. Meanwhile the user testing to four respondents obtained a percentage of 89.24% which means that the system is worth using. The system was developed in the web. So that is need more research to be developed in mobile.

Development of a Decision Support System Framework for Cultural Heritage Management

“…It performs the functions of a DSS, as its data are used by the museum to reorganize its exhibition, which can improve the level of visitor engagement [9]. Moreover, a DSS for museums was designed for the purpose of evaluating candidates to fill the role of museum ambassador [10]. Using the TOPSIS multi-criteria method, such a DSS is able to determine the most suitable candidate, saving time and money for selection [10].…”

“…Moreover, a DSS for museums was designed for the purpose of evaluating candidates to fill the role of museum ambassador [10]. Using the TOPSIS multi-criteria method, such a DSS is able to determine the most suitable candidate, saving time and money for selection [10].…”

“…In addition to this, they reduce costs and facilitate the identification of measures that make a process more efficient and productive, creating useful scenarios [3,[5][6][7]. DSSs reduce work time by helping users to plan efficiently and improve the level of customer engagement, thus saving time and money [8][9][10]. For instance, in the construction industry, DSSs have supported downtown development while preserving existing cultural buildings, identifying restoration priorities constrained by a predefined budget, defining adaptive reuse strategies, and analyzing and storing information regarding changes in the historical building layout [3,5,6,[11][12][13].…”

“…In the sustainable environmental context, Trovato et al [7] have designed a system that aims to help in landscape decision making for the protection of natural and cultural heritage. Other DSSs have supported decisions for museum institutions by presenting graphs, statistics, and maps on visitor movement, optimizing exhibition project planning for art museums, capturing visitor data, and evaluating candidates for museum ambassador roles [9,10,14].…”