JTRISTE

REDESIGN UI/UX BANK PLASTIK MENGGUNAKAN METODE USER CENTERED DESIGN

2025-05-20T15:27:29+08:00

"Bank Plastik" is an application that facilitates the exchange of plastic waste for money. The results of a user experience survey for the Bank Plastik application indicated several areas that require improvement, one of which is the UI/UX design. To validate the survey results, a first-stage testing was conducted to determine whether a redesign of the Bank Plastik application is necessary. Based on the first-stage testing, the original design received a score of 50.8, indicating that the score falls in the "poor" category and is below the standard SUS (System Usability Scale) score of 53. Therefore, a redesign of the UI/UX of the Bank Plastik application is deemed necessary. The User Centered Design method was employed to carry out the redesign of the Bank Plastik UI/UX to enhance the user experience when using the application. The results of the User Centered Design implementation, using the task success metric, revealed issues with tasks 1 and 2. The findings from the time on task metric showed that respondents were able to complete all tasks but faced challenges with the slide slogan page. Respondents two and five experienced delays more frequently compared to other respondents. The testing of the error metric yielded an average error rate for each task of 16% across all respondents. The results of the second stage testing demonstrated that the satisfaction score for the redesign was higher than that of the original design in the first stage, with a redesign score of 75.5, indicating an "excellent" level of satisfaction. In conclusion, based on the survey and testing results, it is clear that a redesign of the Bank Plastik application's UI/UX has been successful in improving the user experience.

PERANCANGAN ULANG UI/UX PADA APLIKASI SAVE MONEY MENGGUNAKAN METODE HUMAN CENTERED DESIGN

2025-05-20T15:49:09+08:00

This research aims to redesign the UI/UX of the save money application. Data collection was carried out using the Human Centered Design (HCD) method. The data testing process uses the System Usability Scale (SUS) method developed by researchers and involving 30 respondents. After the evaluation is carried out, respondents are asked to answer the questions asked in the questionnaire and the results are used as a basis for drawing conclusions. In this research, the author redesigned the UI/UX of the save money application to make it easier for users to manage their finances. The test results using the System Usability Scale (SUS) method produced an average score of 79. So the results of the interpretation of the System Usability Scale (SUS) from SUS are between 68 - 80.3, so the grade is B with an adjective rating, namely Good.

PENGUKURAN KEBERGUNAAN SISTEM INFORMASI KEGIATAN GEREJA BERBASIS WEB MENGGUNAKAN METODE SYSTEM USABILITY SCALE

2025-05-20T15:44:45+08:00

This study aims to measure the quality of the Jadwal Ibadah website based on usability, information quality, and interaction quality in relation to user satisfaction. Data was collected through a questionnaire distributed to 30 respondents and analyzed using the System Usability Scale method. The System Usability Scale method is used to produce a user interface design that meets user needs and wants, as well as to determine the usability level of a system. The website testing results yielded a score of 62, which is rated as Good. Therefore, it can be concluded that the design of the Jadwal Ibadah website user interface solves user problems and provides more accurate and precise information.

ANALISIS USABILITY TERHADAP USER EXPERIENCE PADA APLIKASI SAVEMONEY MENGGUNAKAN METODE USE QUESTIONNAIRE

2025-05-20T15:44:12+08:00

This study focuses on evaluating the usability of the SaveMoney application concerning user experience. SaveMoney is designed to notify users about their financial expenses and income. Data collection for this analysis involved literature reviews and questionnaires, employing the USE Questionnaire technique, which assesses four criteria: usefulness, ease of use, ease of learning, and satisfaction. The results, measured with a Likert scale, show that Usefulness received a score of 80.08%, Ease of Use scored 83.27%, Ease of Learning was 86.67%, and Satisfaction was 85.33%. These percentages indicate that the application performs well in these areas. Overall, the average percentage across all variables was 83.60%, suggesting that the SaveMoney application meets the standards of the USE Questionnaire.

PENERAPAN ALGORITMA APRIORI PENGOLAHAN DATA MINING DALAM MENGIDENTIFIKASI PRODUCT BUNDLING RICH PETSHOP

2025-05-31T11:57:36+08:00

Rich Petshop has not utilized a priori algorithms in data mining to analyze buyer transaction data and optimize sales operations. The aim of this research is to apply an a priori algorithm to identify product bundling combinations and find association patterns that show relationships between products that are often purchased together. The a priori algorithm process includes data transformation, determining minimum support and confidence values, forming association rules, and finding lift ratio values. Sales data for 1 year (June 2023 - May 2024) was processed using Microsoft Excel and Rapidminer. With a minimum support value of 2% and a minimum confidence of 20%, several important association rules are produced. For example, the relationship between "Pasir Chiro Plus" and "Cat choize adult" and "Furlove Pouch 80gr" and "Cou cou pouch 85gr". These association rules provide valuable insights for Rich Petshop to craft innovative product bundling packages, increase customer interest, drive sales growth and strengthen market position.

POLA DESAIN MODEL-VIEW-VIEW MODEL UNTUK PENGEMBANGAN APLIKASI CALORIE COUNTER YANG EFISIEN

2025-05-16T11:41:02+08:00

This study aims to design an efficient calorie counter application using Model-View-ViewModel (MVVM). The use of the Model-View-ViewModel design pattern is based on efforts to facilitate the process of reusing source code (Reusability). The design process uses flutter as an application framework. This research can be used as a reference regarding the Model-View-ViewModel, as well as providing new knowledge for researchers regarding the combination of the Model-View-ViewModel design pattern with the flutter framework on the android platform. Data collection in this study was carried out through literature studies and evaluation of the system design. The application was developed using the Dart programming language, while the evaluation of the implementation of MVVM design pattern is measured by using CK metrics. The evaluation shows that the MVVM calorie counter application can be run on Bluestacks Android Emulator successfully. The reusability degree of the application is better than the non-MVVM calorie counter apps, where the WMC parameter decreased by 4.5 points, and the DIT parameter by 0.3 points, while the CBO parameter decreased by 0.4 points, and the LCOM parameter by 31.2 points. The results indicate that the MVVM calorie counter application is easier to maintain.

MOTORCYCLE LOCKING SECURITY SYSTEM WITH SMARTPHONE WIFI AUTHENTICATION

2025-09-10T18:47:59+08:00

Motorcycle theft continues to rise in various regions, highlighting the need for more reliable security systems. Conventional protection methods, such as double locks or standard alarms, have proven to be vulnerable and insufficient. This research aims to design and implement a motorcycle security system based on WiFi MAC address authentication from the owner's smartphone. The system is built using the ESP8266 microcontroller, which scans nearby devices and matches their MAC addresses against a pre-registered list. If a match is found, the vehicle is allowed to start. In addition to authentication, the system is equipped with a vibration sensor to detect suspicious activity when the motorcycle is in an OFF state. Test results indicate that the system can effectively distinguish between authorized and unauthorized devices, and responds accurately and promptly under various test conditions

EVALUASI PERFORMA METODE LONG SHORT TERM MEMORY (LSTM) DAN RECURRENT NEURAL NETWORK (RNN) PADA ANALISIS SENTIMEN KOMENTAR PENGGUNA APLIKASI KITALULUS

2025-09-09T13:10:47+08:00

Sentiment analysis is one of the essential techniques in natural language processing for identifying user opinions toward a product or service. This study aims to evaluate the performance of the Long Short Term Memory (LSTM) and Recurrent Neural Network (RNN) methods in sentiment analysis of user comments on the Kitalulus application. A total of 2,500 comments collected from user reviews were utilized and underwent several preprocessing stages, including case folding, tokenization, stopword removal, stemming, and padding. The processed data were then trained using both RNN and LSTM models with similar architectural configurations. The experimental results show that the LSTM method outperforms RNN, achieving the highest accuracy of 91.51%, while RNN attained 88.48%. These findings demonstrate that LSTM is more effective in capturing long-term dependencies in textual data, making it more suitable for sentiment analysis of user comments on the application.