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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat IJITEE (International Journal of Information Technology and Electrical Engineering) International Journal Of Computer, Network Security and Information System (IJCONSIST)
Nurul Tiara Kadir
Program Studi Sistem Informasi,Universitas Mercu Buana Yogyakarta, Yogyakarta, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Education Electrical & Electronics Engineering Social Sciences

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Modified Usability Test Scenario: User Story Approach to Evaluate Data Visualization Dashboard Nurul Tiara Kadir; Rudy Hartanto; Selo Sulistyo
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 5, No 1 (2021): March 2021
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.61201

Abstract

The data processing results are commonly displayed in a dashboard with various graphic visualization forms to deliver new knowledge easier to understand by users. However, many data analysis dashboards cannot communicate the knowledge effectively and efficiently given the unsuitable design implementation. Therefore, research to measure the interface display's effectiveness in the data analysis system is deemed necessary. This research proposed a scenario modification in the usability test with a user story approach to measuring the system interface display in delivering the information to users. The approach of a usability test with the user story is expected to be capable of helping the researcher in understanding the user habits indirectly. There were 20 participants to validate the proposed method. Participants were asked to use the system and answer several questions to develop their user experience. After developing user experience for each user, the System Usability Scale (SUS) was conducted. SUS score results obtained from this research was 75.25. Besides, the researcher also measured the understanding level among the users using questionnaires. The questionnaire results were converted into numbers and resulted in a mean value of 91.8. Those two values indicate the users' ability to use the system well and obtain the new knowledge displayed in the data analysis dashboard.
Socialization and Training of The Use of Inventory Applications for Optimization of Goods Inventory Putri Taqwa Prasetyaningrum; Nurul Tiara Kadir; Albert Yakobus Chandra; Irfan Pratama
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2022): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.725 KB) | DOI: 10.35568/abdimas.v5i2.2300

Abstract

This service is entitled Socialization and Training on the Use of Inventory Applications for Optimizing Goods Inventory. The problems faced by partners include; First, (1) There is no socialization and training on the Inventory application, (2) Difficulty in making accurate customer demand forecasts. The output targets in this program are (1) application of services carried out by providing socialization and training, (2) Providing knowledge of proper and accurate inventory management. The service program is carried out in 2 forms; First, (1) socialization and training on the use of inventory applications. In using the inventory application, the training was carried out in 4 meetings. Every meeting there are training activities and socialization of the use of inventory applications to partners. Second, the design of the Nyong Group sales transaction inventory application. Second, activities and knowledge about optimizing inventory. These training sessions are conducted with partners and employees. The implementation of this program is designed in four stages of activity, namely: (1) Coordination and preparation stage (2) Training stage (3) Science and technology implementation stage (4) Evaluation & Mentoring Stage.
COMPARISON OF SUPPORT VECTOR MACHINE RADIAL BASE AND LINEAR KERNEL FUNCTIONS FOR MOBILE BANKING CUSTOMER SATISFACTION ANALYSIS Putri Taqwa Prasetyaningrum; Nurul Tiara Kadir; Albert Yakobus Chandra; Irfan Pratama
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.75

Abstract

Banking services using mobile banking applications, including Indonesian state bank (called BRI). A study on feedback regarding BRI services based on mobile applications was done. In order to compete with other banks, that is used to enhance and modernize the quality of BRI services provided to clients. Based on phenomena that occur in these situations. This study aims to classify comments from users of the BRI Mobile Banking Application on Google Play services into positive and negative comment sentiments. In this study, the Support Vector Machine (SVM) technique is utilized to determine between positive or negative reviews. The sentiment analysis of BRI google play data was carried out by comparing the Radial Basis Function (RBF) kernel function and the Linear kernel. As well as the experiment of adding feature selection, parameters, and n-grams for a period of two years, from January 1st,, 2017 to December 31st, 2018. The results of the study using the k-fold cross-validation test, the precision value of the SVM kernel linear is 90.80 percent and the SVM kernel RBF is 90.15 percent. In the RBF kernel, there are 1,816 positive classes and 1,455 negative classes. While the Linear kernel obtained a positive class of 1,734 and a negative class of 1,637.
Co-Authors Albert Yakobus Chandra Irfan Pratama Prasetyaningrum, Putri Taqwa Rudy Hartanto Selo Sulistyo, Selo