Jurnal Informatika dan Bisnis

Aplikasi Assistive Technology Parkinson dengan FSM dan Risk Stratification Berbasis Mobile

2026-06-02T13:04:09+00:00

The development of mobile application-based health technology provided opportunities to support the care of patients with Parkinson’s disease who experienced progressive motor disorders. Within the family context, common challenges included medication non-compliance, a high risk of falls associated with freezing of gait without early monitoring, and limited caregiver involvement in continuous supervision. Therefore, mobile-based assistive technology was required to support medication management, fall risk monitoring, and patient–caregiver coordination. This study applied assistive technology for Parkinson’s management by implementing a Finite State Machine as a multi-stage model for detecting movement conditions, combined with risk stratification to translate sensor signals into interpretable risk levels. The system also involved caregivers through monitoring and notification mechanisms to enable early intervention. The system was developed iteratively using Extreme Programming, including planning, design, coding, and testing phases. Implementation was conducted on Android using Kotlin and Jetpack Compose, utilizing accelerometer and gyroscope sensors, as well as Firebase for authentication, data storage, synchronization, and notifications. Functional testing was performed using black-box testing. The results indicated that the application provided medication management and fall risk monitoring, while improving coordination between patients and caregivers. The system demonstrated potential as an assistive technology to support Parkinson’s care within the family environment.

Implementasi Semantic Retrieval Berbasis Embedding dan LLM pada Aplikasi Web Keuangan Pribadi

2026-06-02T13:04:36+00:00

This study developed a web-based personal finance application integrated with semantic retrieval using embedding and Large Language Models to address limitations in conventional keyword-based search. The system was developed using the Extreme Programming approach to ensure iterative development, rapid feedback, and adaptability to user requirements. The application was designed using a client–server architecture and implemented to support transaction recording, financial management, and contextual data retrieval. Financial transaction data were preprocessed and converted into vector embeddings to capture semantic meaning, enabling more flexible and accurate search using natural language queries. The system utilized a vector database with pgvector extension to store embeddings and perform similarity search. Evaluation was conducted using the RAGAs framework with 100 financial transaction data and 20 query scenarios. The results showed that the system achieved a context recall of 0.81, context precision of 0.70, faithfulness of 0.83, and answer relevancy of 0.84. These results indicate that the system was able to retrieve relevant contextual information and generate consistent and accurate responses. Furthermore, the implementation demonstrated improved effectiveness in organizing, managing, and retrieving financial data compared to traditional methods. Overall, the proposed system successfully provided a more efficient and context-aware solution for personal financial management and information retrieval.

Aplikasi Frontend untuk Meningkatkan Customer Experience dan Mendapatkan Data Customer Menggunakan Metode Scrum pada Studi Kasus Livera

2026-06-02T13:04:54+00:00

The development of digital technology has had a significant impact on human life, including institutions, organizations, and business actors. Rapid technological advancement has become a highly influential factor among business actors in order to remain competitive with other businesses. Livera is a company engaged in the health beverage industry, focusing on weight loss products. Currently, Livera does not yet have an application to support customer satisfaction after purchases are made. Therefore, the researcher intends to design a website-based application aimed at improving customer satisfaction, where customers can consume products according to a predetermined schedule, while also enabling administrators to easily input and monitor data automatically. Customer Experience is an evaluation of feelings that can be identified through the experiences perceived by customers. Customer experience can become one of the most important determining factors for customers. This research was conducted using the Scrum method. The stages of Scrum activities include product backlog, sprint backlog, daily scrum, sprint review, and sprint retrospective. The roles involved in Scrum include the product owner, scrum master, and development team. This study employs a qualitative research method and the Scrum method for system development. The data collection techniques used include non-participant observation, unstructured interviews, and literature studies from books and journals that serve as references regarding Customer Experience, website design, and the Scrum method.