PENGEMBANGAN APLIKASI PELAYANAN ANTRIAN RUMAH SAKIT GATOEL MOJOKERTO BERBASIS ANDROID

Health services are one of the important factors for hospitals. Good and bad services provided will affect the image of the hospital itself. Increased activity in a hospital with limited service facilities will result in queues at the outpatient unit. This happened in Gatoel Mojokerto Hospital. Based on survey that has been conducted, there are 80% of hospital visitors who experience a long queue when registering conventionally and 56% have difficulty receiving information on the doctor's practice schedule. Thus, 94% of patients require an online registration application. The purpose of this study is to make an online registration application to solve patient problems. This research uses waterfall method. In requirement analysis there are 11 functional and 2 non-functional requirements. At the design step, includes the design of use case diagrams, use case scenarios, activity diagrams, sequence diagrams, pseudocode, class diagrams, databases, and interfaces. Then at the implementation step, it produces a database implementation and 12 interface. In the testing step, it is 100% valid on black-box and compatibility. The usability test using SUS resulted in a score of 100 for the admin which was classified as grade A with best imaginable adjective ratings and a score of 88.12 for patients who were classified as grade B with adjective ratings excellent

Usability improvement of public transit application through mental model and user journey

Using a mobile application that is featured with local public transit information can greatly improve user action, as well as assisting travelers to have a better experience while taking public transit services. Crowd environment inside a public transit is one of the most frequent causes that lead difficulties to passengers when they engaging their mobile devices to access their apps or in some conditions. Finding crucial information such as stops points and remaining time to interchanges point when switching to another line becomes more difficult in those conditions especially for foreigners who new in a particular region. This study presents the combination of a mental model and a usability approach to construct a user journey map that led to new insights on user's experiences and challenges when utilizing their mobile local transit application. This valuable information is a part of the elicitation process to propose an alternative interaction method to enhance the usability and travel experience of the public transit app. The experimental results indicate that in contrast to the existing mobile transit app, the proposed interface with the utilization of a wearable device could considerably enhance user action when trying to reach the desired location in terms of total time and performance. It implies that the proposed solution, which works through the mental model and user journey is able to intuitively enhance the public transit app usability

End-to-End Privacy Protection for Facebook Mobile Chat based on AES with Multi-Layered MD5

As social media environments become more interactive and amount of users grown tremendously, privacy is a matter of increasing concern. When personal data become a commodity, social media company can share users data to another party such as government. Facebook, inc is one of the social media company that frequently asked for user’s data. Although this private data request mechanism through a formal and valid legal process, it still undermine the fundamental right to information privacy. In This Case, social media users need protection against privacy violation from social media platform provider itself.  Private chat is the most favorite feature of a social media. Inside a chat room, user can share their private information contents. Cryptography is one of data protection methods that can be used to hides private communication data from unauthorized parties. In our study, we proposed a system that can encrypt chatting content based on AES and multi-layered MD5 to ensure social media users have privacy protection against social media company that use user informations as a commodity. In addition, this system can make users convenience to share their private information through social media platform

End-to-End Privacy Protection for Facebook Mobile Chat based on AES with Multi-Layered MD5

As social media environments become more interactive and amount of users grown tremendously, privacy is a matter of increasing concern. When personal data become a commodity, social media company can share users data to another party such as government. Facebook, inc is one of the social media company that frequently asked for user’s data. Although this private data request mechanism through a formal and valid legal process, it still undermine the fundamental right to information privacy. In This Case, social media users need protection against privacy violation from social media platform provider itself.  Private chat is the most favorite feature of a social media. Inside a chat room, user can share their private information contents. Cryptography is one of data protection methods that can be used to hides private communication data from unauthorized parties. In our study, we proposed a system that can encrypt chatting content based on AES and multi-layered MD5 to ensure social media users have privacy protection against social media company that use user informations as a commodity. In addition, this system can make users convenience to share their private information through social media platform

The Development of Mobile Culinary Recommendation System Based on Group Decision Support System

Mobile based culinary recommendation system has received significant attention in recent mobile application research . Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) has regained popularity in supporting multi-criteria decision making due to this method allowing inclusion of many factors and criteria into the decision making process. Previous works on mobile based scenario culinary recommendation system reveal that TOPSIS stand out from other recommendation approaches like AHP and Fuzzy by providing a lightweight computation algorithm that have promising performance in time complexity. However, computing a culinary recommendation using TOPSIS has own limitations especially in the menu judgment processes due to the alternatives priority only include personal preferences for recommendation. In such a culinary recommendation system scenario, users more likely search culinary menus in group instead of alone. This research aims to develop a culinary recommendation system based on group decision support system (GDSS) using TOPSIS that possible to calculate a recommendation by using group preferences instead of personal preferences. The experimental results show that the overall functional of proposed GDSS gives better recommendation result. GDSS using TOPSIS have 100% rank consistency for 6 group of users with 5 combination of menus. The accuracy testing shows that 83,33 % recommendation of GDSS TOPSIS are match with real user preferences. Furthermore, it can be run well in various type of Android smartphone