Auflistung nach Autor:in "Maruanaya, Rita Fransina"
1 - 2 von 2
Treffer pro Seite
Sortieroptionen
- KonferenzbeitragDeveloping ISLANDS Learning Model in Improving the Guiding Ability of Students in Maluku Archipelago(Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2022, 2022) Maruanaya, Rita Fransina; Akihary, Wilma... The learning model developed in this study is the ISLANDS learning model. ISLANDS stands for Identification, Setting, List, Application, Note, Duplication, and Scrutinize.This learning model provides space for students to learn independently, it is by searching and finding information about tourism objects and Phrases according to the material, working in groups to practice collaboration skills, sharing information and knowledge, and sharing tasks and responsibilities, leadership, solving problems, actively speaking in German with the help of teachers and native speakers and only focusing on local wisdom which is of course very well known to them, making it easier for them to absorb the material provided by the teacher. In addition, students are also given the opportunity to evaluate the process and their learning outcomes. Thus, it is hoped that this interactive, communicative, active, independent and local wisdom-oriented learning model can increase students’ learning motivation and their mastery of the German language, especially guiding abilities. [Aus: Introduction]
- KonferenzbeitragThe Development of Assistant Selection Application of Information and Communication Technology Laboratory(Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2021, 2021) Maruanaya, Greghar Juan Tjether; Maruanaya, Rita FransinaThis research aimed to design a support system to facilitate the decisionmaking process in terms of selecting the acceptance of Integrated ICT (Information and Communication Technology) Laboratory assistants using the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP method was used for the process of determining the weight of each criterion determined from the Integrated ICT Laboratory, Budi Luhur University, while the TOPSIS method was used to determine the ranking based on the calculated values. The method used in this research was the waterfall method consisting of 4 stages, including the needs analysis stage, design, testing and implementation. For testing, User Interface Testing was used which aimed to determine whether the functionality of interface elements such as buttons and hyperlinks contained on each page was working properly. In addition, validation testing was also carried out which aims to determine whether the validations in the system had been running well. The results showed that the decision support system designed using the Analytical Hierarchy Process (AHP) method had been tested to determine the weight of each criterion needed in the assistant selection process, it was attendance with 0.284, Competence 0.143, Project 0.414, Hardware 0.089 and interview with 0.070. Meanwhile, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was able to determine the ranking based on the results of calculating the criteria values for each assistant candidate and the 2 people who occupied the top rankings were declared to have passed the selection. The test results showed that all system elements functioned as designed.