DESIGN AND DEVELOPMENT OF ANDROID-BASED TRADITIONAL INDONESIAN CLOTHING IMAGE GUESSING GAME

In terms of cultural traditions, Indonesia is home to a wide variety of very diverse practices. As a result of different regions of the country, Indonesia is home to diverse cultural traditions. Traditional clothing is an important aspect of the Indonesian culture. The traditions and culture of each region are reflected in the clothes worn at traditional ceremonies; in addition, traditional clothing is a decisive feature of the culture of each region. Concern for the maintenance of national culture, which relates to the wearing of indigenous clothing, has been significantly reduced because of the passage of time. For example, one of the main reasons why people's interest in traditional clothing is not as strong as it used to be is because there is not enough socialization and presentation of Indonesian culture in society. The goal of this study project is to create a learning app for Android based on the guesswork of traditional Indonesian clothing. Research and Development techniques were selected as the proximity used for this investigation. Research and Development As a consequence of this research, an educational game that allows users to predict photos of traditional clothing from Indonesia will be produced on the Android platform. This game will also provide information to players about traditional musical instruments that can be found in Indonesia. It is hoped that educational video games will help in the process of exposing children to pre-existing cultures, and such games can also be seen as offering new perspectives to children. It is possible to draw the conclusion, based on the findings of tests conducted using the black box approach, that this application is capable of functioning in an appropriate way. Moreover, it can provide android smartphone customers with instructional games. &nbsp

Front-Line Physicians' Satisfaction with Information Systems in Hospitals

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe

Quantified vehicles: data, services, ecosystems

Advancing digitalization has shown the potential of so-called Quantified Vehicles for gathering valuable sensor data about the vehicle itself and its environment. Consequently, (vehicle) Data has become an important resource, which can pave the way to (Data-driven) Services. The (Data-driven Service) Ecosystem of actors that collaborate to ultimately generate services, has only shaped up in recent years. This cumulative dissertation summarizes the author's contributions and includes a synopsis as well as 14 peer-reviewed publications, which contribute to answer the three research questions.Die Digitalisierung hat das Potenzial für Quantified Vehicles aufgezeigt, um Sensordaten über das Fahrzeug selbst und seine Umgebung zu sammeln. Folglich sind (Fahrzeug-)Daten zu einer wichtigen Ressource der Automobilindustrie geworden, da sie auch (datengetriebene) Services ermöglichen. Es bilden sich Ökosysteme von Akteuren, die zusammenarbeiten, um letztlich Services zu generieren. Diese kumulative Dissertation fasst die Beiträge des Autors zusammen und enthält eine Synopsis sowie 14 begutachtete Veröffentlichungen, die zur Beantwortung der drei Forschungsfragen beitragen

Leveraging the Power of Peer Groups for Refugee Integration

Refugee integration, one long-term solution to the large number of people fleeing their home countries, constitutes a challenge for both refugees and host societies. ICT and especially online peer groups seem promising to support this process. Building on literature demonstrating the societal benefits of peer groups, this paper proposes a novel peer-group-based approach to address refugee integration and introduces both an online and offline realization. A randomized field experiment in cooperation with public (refugee) services and a non-governmental organization makes it possible to expand existing research by quantitatively demonstrating societal benefits of online peer groups and ICT for refugee integration. Further, this paper is the first to assess the effectiveness of online and offline peer groups in one experimental setup comparatively. Results show that peer groups provide substantial value with respect to the integration domains social bridges, social bonds, rights and citizenship as well as safety and stability. While the outcome of the various integration domains differs for online and offline peer groups, participants’ adoption rates were higher for online peer groups

The Use of Smartphone-Based Interventions to Improve Mental Health

Mental disorders are highly prevalent and cause a high burden of disease. Even though effective treatment approaches exist, there is a large treatment gap and a substantial proportion of non-responders to traditional face-to-face psychotherapy. New treatment approaches are required. The Grand Challenges in Global Mental Health initiative called for the development of mobile and IT technologies to increase access to evidence-based care. Internet-based psychotherapeutic interventions have been found efficacious. Smartphones are widespread, ensure high availability of their users, and are equipped with technologically rich sensors. In the context of electronic Health (eHealth) and mobile Health (mHealth), the potential of smartphone-based interventions has been recognized. Due to the relative novelty and interdisciplinarity of the field, several open research questions remain. This dissertation focuses on three selected research questions on how smartphone-based interventions can be used to improve mental health. The first publication provides evidence of the applicability of smartphone-based psychotherapeutic micro-interventions evoking mood changes in a real-world setting in a non-clinical sample (N = 27; n obs. = 335 micro-intervention sessions) across 13 days; data was collected in a larger randomized trial. Based on data from the same study, in the second publication, evidence is provided for the utility of a machine learning-based random forest (RF) algorithm for the prediction of smartphone-based psychotherapeutic micro-intervention success regarding mood amelioration, based on contextual information. In publication 3, based on data from healthy participants in a randomized controlled trial (N = 132), we explored whether efficacy expectancies could be successfully induced in a smartphone-based placebo mental health intervention lasting 20 days, in the context of digital placebo effects. These findings may pave the way for future endeavors to provide personalized digital mental health interventions and to further promote the promising field of eHealth and mHealth, in line with the precision medicine approach

Usability analysis of contending electronic health record systems

In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. © 2019 American Psychological Association Inc. All rights reserved.Peer reviewe

31th International Conference on Information Modelling and Knowledge Bases

Information modelling is becoming more and more important topic for researchers, designers, and users of information systems.The amount and complexity of information itself, the number of abstractionlevels of information, and the size of databases and knowledge bases arecontinuously growing. Conceptual modelling is one of the sub-areas ofinformation modelling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines, who have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. We also aim to recognize and study new areas on modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too. In the conference, there will be three categories of presentations, i.e. full papers, short papers and position papers