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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi bit-Tech Jurnal Tekinkom (Teknik Informasi dan Komputer) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Abdi Rakyat Jurnal Pendidikan dan Keguruan
Anna Dina Kalifia
Universitas Teknologi Yogyakarta
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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Journal : bit-tech

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Prediction Of Student Stress Levels Based on Random Forest and The Dass-21 Questionnaire Raisa Indira Zahra; Anna Dina Kalifia
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3208

Abstract

Academic stress is a psychological condition commonly experienced by students due to increasing academic, social, and emotional demands. Without early detection, this issue can negatively impact mental health and academic performance. This study aims to develop and evaluate a machine learning–based model using the Random Forest algorithm to predict students’ stress levels based on the Indonesian version of the Depression Anxiety Stress Scale-21 (DASS-21). Data were collected from 143 university students in Yogyakarta who completed the DASS-21 questionnaire, and stress subscale scores derived from seven items were multiplied by two and categorized into five levels: Normal, Mild, Moderate, Severe, and Extremely Severe. The dataset was then cleaned, labeled, normalized, and split into training and testing subsets (60:40) using stratified sampling. Model performance was evaluated using accuracy, macro-F1, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). The Random Forest model achieved an accuracy of 87.93%, macro-F1 of 0.7047, MAE of 0.121, and RMSE of 0.347, with the best performance observed in the Severe (F1 = 0.9387) and Normal (F1 = 0.9230) categories. To enhance practical usability, the model was deployed in a web-based system named StressPredict, which provides real-time predictions, class probabilities, and an analytical dashboard for monitoring student populations. The findings confirm that the Random Forest algorithm is effective for multi-level stress classification and demonstrates strong potential as a digital mental health monitoring tool in higher education environments, supporting early screening and informed interventions for student well-being.
Online Catering Booking Application Based on Web-Based and Mobile Budget Amanda Aprilina; Anna Dina Kalifia
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3240

Abstract

The rapid advancement of information technology has encouraged digital transformation across various service industries, including the catering sector. Many small and medium enterprises (SMEs) still rely on manual ordering systems that often lead to data inaccuracies and inefficient service operations. To address these challenges, digital-based solutions are needed to streamline transactions, improve service accuracy, and enhance customer experience. This study aims to develop an integrated web and mobile-based catering ordering information system equipped with a budget-based ordering feature that allows users to select menus according to their financial capacity. The system was developed using the Waterfall model as the main framework, encompassing stages of requirement analysis, system design, implementation, and testing. The backend was built with Laravel framework, while the mobile application used React Native, ensuring real-time synchronization through a centralized API. The interface design applied Bootstrap and CSS to achieve responsiveness and usability across devices. System testing was conducted using the Blackbox Testing method to evaluate functional accuracy from the user’s perspective. Unlike previous systems that focus only on integration, this study introduces a budget-based filtering mechanism that dynamically adjusts menu recommendations to user-defined spending limits, enhancing personalization and affordability. The implementation results show that the system operates effectively and consistently across both platforms, enabling seamless order, payment, and confirmation processes. In conclusion, the proposed system successfully combines cross-platform integration with budget-based personalization, providing an efficient, reliable, and adaptable model for digital transformation in catering service management.
Integrated Application for Worship Scheduling and Church Finance Based on Android and Web Devani Maria Naulu; Anna Dina Kalifia
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3285

Abstract

The development of information technology has driven digital transformation in the management of church administration, including service scheduling, financial reporting, and congregational services. However, most existing systems are still single-platform and do not support real-time data synchronization, resulting in limitations in efficiency and transparency. This research aims to design and implement an integrated application based on Android and Web that is able to manage worship scheduling, seat reservations, and church financial administration synchronously and transparently. The development method used is the Waterfall model, which includes the stages of needs analysis, design, implementation, testing, and maintenance. The system was developed using the Flutter framework with the Dart programming language and Firebase Firestore (NoSQL) as a database that supports real-time data synchronization between platforms. The test is carried out using the Black Box Testing method to assess the functional suitability of the system to the needs of the user. The results of the implementation show that all the main features of worship scheduling, recording financial transactions, and congregational seat reservations work well on both platforms. Real-time data synchronization runs steadily without lag, and the user interface proves to be accessible and responsive. This integrated application has succeeded in improving the efficiency of church administration, transparency of financial management, and the convenience of congregations in participating in worship activities. Thus, this system can be a model for the digitalization of the modern church oriented towards the openness, mobility, and accountability of religious organizations.
QR Code-Based Ordering and Reservation System Design to Improve Cafe Operational Efficiency Berlian Putri Zezar; Anna Dina Kalifia
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3325

Abstract

The increasing demand for service efficiency and digital interaction in the food and beverage industry has driven businesses to adopt technological innovations that streamline ordering processes. Manual order-taking often results in long queues, inaccurate recording, and reduced customer satisfaction, emphasizing the need for digital transformation. This study aims to design and implement a QR Code-based ordering and reservation system that enhances operational efficiency and minimizes human error in café service management. The research employs a Prototyping development method consisting of five stages: data collection, system requirement analysis, interface design, prototype implementation, and functional testing. The system is developed as a web-based application that allows customers to place orders and make reservations independently through QR Code scanning. Testing results show that the system functions effectively across all core features, reducing customer waiting time and eliminating manual recording errors. The integrated reservation feature also improves table management and staff coordination. Unlike most prior QR Code-based systems that focus only on menu ordering, this study introduces an integrated, responsive web platform combining ordering and reservation in a unified workflow. The developed prototype addresses inefficiencies in manual service operations while demonstrating measurable improvements in speed, accuracy, and user satisfaction. This integration represents the main contribution of the research, providing a distinctive model for enhancing digital café operations through user-centered design. The study contributes to the advancement of digital ordering systems and offers both practical and academic implications for future F&B digitalization initiatives
Co-Authors Ahmad Faizin, Ahmad Amanda Aprilina Ananda, Rezky Dwi Berlian Putri Zezar Devani Maria Naulu Fadil Indra Sanjaya Ihtisan, Muhammad Rayhan Budi Ikrima Alfi Irma Handayani Kartasasmita, Ivan Bhagaskara Najwa Salsa Bila Wijaya Nugrahman Reski Putra Nur, Taufik Mustafa Raisa Indira Zahra Risna tri prasetiyo Saka Nusi Wiandra Saucha Diwandari Selfi Artika Wahyu Fajar Nugraha Wahyu Sri Utami Waluyo, Anita Fira Wijayanto, Wahyu Yesi Nurhana Dalimonthe