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Journal : The Journal of Enhanced Studies in Informatics and Computer Applications

Combination Of HCD, Persona, MVP, and Thumb Zone for Designing TNI Physical Fitness Monitoring Application Wirpan Atmaja Putra; Wahyu Teja Kusuma
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.2

Abstract

This research contributed to producing a combination of design methods and design of the Indonesian National Army (TNI) physical fitness monitoring application. This research is very important because TNI institutions really need a physical fitness monitoring application to be able to make the right decisions. The design of the physical fitness monitoring application primarily uses the Human-Centered Design (HCD) method which is then combined with the Persona, Minimum Viable Product (MVP) and The Thumb Zone methods. The combination of HCD with Persona has been proven to be used to understand and determine usage content and user needs. The combination of HCD with MVP has proven to be able to be used to produce design solutions to meet user needs. The combination of HCD with Thumb Zone has proven to be able to be used to evaluate designs against user needs. Finally, as many as 20 Persona respondents agreed that the combination of HCD, Persona, MVP, and Thumb Zone proved reliable for producing physical fitness monitoring application design solutions that can be used naturally and meet the needs of TNI.
Development of Basic Finger Shapes Indonesian Traditional Dance Application Using Color-Based Hand Gesture Recognition Henokh Kristiawan; Wahyu Teja Kusuma; Risqy Siwi Pradini
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 1 (2024): JESICA Vol. 1 No. 1 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i1.6

Abstract

UNESCO stated that Indonesian traditional dance is a world cultural heritage that must be preserved and maintained. Efforts made by the government to preserve traditional dance are still not successful. Research shows that students have difficulty in learning traditional Indonesian dance exercises. Therefore, this study develops a solution that focuses on the difficulty of learning the basic finger postures in traditional Indonesian dances. This is important because fingers are instruments in dancing that have meaningful forms, such as Closed Urang Chopsticks, Nyempurit, Ngruji, Open Urang Chopsticks, Ke-pelan, Baya Mangap, and Ngithing. Learning the practice of basic finger postures aims to provide an independent learning experience through repetitive movements to strengthen or strengthen. This research has succeeded in making a real-time Color-Based Hand Gesture Recognition application for reliable Android devices. This is evidenced by applications that can function well in test scenarios with varying lighting and background conditions. Finally, students can learn the hand gestures of traditional Indonesian dances independently with ease. In addition, the application of the results of this research also contributes to becoming a learning medium in the current era of Blended Learning. Suggestions for future research are to increase the accuracy of Nyempurit and Ngithing attitudes.
Estimate Suicidal Rate in Indonesian based on Time Window using Linear Regression Javier Fajri Zachary; Mochammad Anshori; Wahyu Teja Kusuma
Journal of Enhanced Studies in Informatics and Computer Applications Vol. 1 No. 2 (2024): JESICA Vol. 1 No. 2 2024
Publisher : Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47794/jesica.v1i2.7

Abstract

The global phenomenon of suicide should be a serious source of worry. Suicide rates are still relatively high in Indonesia. According to the research, there are many different reasons why people commit suicide. Anyone can commit suicide, whether they are young children, teenagers, or adults. Preventive action is one way to avoid this. The prevalence of suicide can be used to gauge the level of preventive action. You may gauge how active you are in implementing the most effective prevention by looking at the predicted suicide rate in the future. Linear regression is one technique for predicting suicide rates. The time window (tw) method is also used to prepare the data because it is in time series form. The best regression model was tw = 5 with MSE = 0.001147, RMSE = 0.033869, and R2 = 0.981643 obtained for all rates. The model with tw = 3, which has errors of MSE = 0.001547, RMSE = 0.039334, and R2 = 0.969458, is the most accurate one for the female rate. Finally, with errors MSE = 0.00318, RMSE = 0.056392, and R2 = 0.973341, we arrive at tw = 5 for the male rate