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Journal : Prosiding SNAST

PEMANFAATAN REAL TIME DATABASE UNTUK APLIKASI BERBASIS LOKASI Erna Kumalasari Nurnawati; Rochmad Suseno; Muhammad Sholihul Masnuh; Renna Yanwastika Ariyana
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

Database design plays a very important role in the success and strength of an application. Factor normalization of design, non-duplication and optimization of memory usage become the main factor in assessment of a database. Research on location-based applications applied to mobile device system has been done by using object-based database and relational database, but the use of real time database has not been done. This study aims to build a real time database based (real time database) that will be applied to location-based applications. The method that will be used in this research is to design a database using Unified Modified Language (UML) by creating a Use Case, Class Diagram to explain the structure and activities of users and using Firebase to build a real time database and create an activity scenario for all actors involved. This research also builds a prototype of location-based applications for delivery and pick-up of goods within the scope of the Yogyakarta location. Location data is taken from Google Maps and uses several libraries from the Application Programming Interface (API). Testing of the database design is carried out with prototypes in the form of applications for delivery and pick-up of goods, where the inter location and pick-up is valid in real time on the officers. Database updates can be done in real time.
KOMBINASI METODE TOPSIS DAN SAW DALAM MENDUKUNG KEPUTUSAN SELEKSI KELAYAKAN PROPOSAL PENELITIAN DOSEN Renna Yanwastika Ariyana; Erna Kumalasari Nurnawati; Luay Nabila El Suffa
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

The selection process of research proposals is one of the important aspects carried out by each research institution in the University. The proposal selection phase is carried out so that each proposal submitted by each lecturer has the priority results of research proposals that meet the standard research standards that have been set, and the proposals submitted are eligible to obtain research funding. The proposal selection phase is carried out so that each proposal submitted by each lecturer has the priority results of research proposals that meet the standard research standards that have been set, and the proposals submitted are eligible to obtain research funding. In this study used a combination of TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) and the SAW (Simple Additive Weighting) method in selecting research proposals submitted by lecturers. For the parameters used are the results of a review of the research proposal with the aim of looking at the suitability of the manual calculation with the method of the system being built. The results obtained by using 5 assessment criteria, it was found that the TOPSIS and SAW methods have a percentage of conformity between manual calculations with TOPSIS and SAW systems by 100%, this value was obtained from the test performed using 20 test samples by comparing manual calculations and system calculations who apply a combination of TOPSIS and SAW methods. The final stage of this study produces a prototype decision support system that can do the ranking in selecting the feasibility of the research proposal submitted by the lecturer by recommending proposals that are eligible to receive research funds based on the criteria and assessment weights set by each university.