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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) Nusantara Journal of Multidisciplinary Science 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 Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Development and Implementation of an Android Application for Camping Equipment Rental at Langit Adventure Saka Nusi Wiandra; Anna Dina Kalifia
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3254

Abstract

This study aims to develop and deploy an Android application for camping equipment rental for Langit Adventure. For the rental process that was previously carried out conventionally, this application was created to optimize it and increase efficiency, reduce chaos. Researchers use the Rapid Application Development (RAD) methodology to develop with the integration of rapid development and feedback. The results of the Black Box functional testing have been successfully met. This makes camping equipment rental easier to use and serves as a digital solution that is beneficial to renters and service providers. This application simplifies the management of camping equipment rentals, improves user experience, and provides a practical digital solution for renters and service providers.
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
MENGENAL ARTI PENTINGNYA KECEMASAN Najwa Salsa Bila Wijaya; Anna Dina Kalifia
JURNAL PENDIDIKAN DAN KEGURUAN Vol. 3 No. 4 (2025): APRIL
Publisher : CV. ADIBA AISHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Anxiety is a problem experienced by many people, both teenagers, adults and children. Anxiety has various causes, symptoms, and types. This research aims to recognize symptoms of anxiety in society and provide an understanding of how to identify these symptoms so that people can recognize when to seek professional help. This research is important to reduce the stigma of mental health problems and encourage people to be proactive in taking care of themselves. Educational steps such as outreach and training can help increase public understanding of anxiety symptoms. It is hoped that this research can make a positive contribution to changing people's attitudes and behavior regarding mental health.
Implementasi Canva Dalam Peningkatan Pembelajaran di SDN Gabahan Anita Fira Waluyo; Irma Handayani; Ikrima Alfi; Wahyu Sri Utami; Anna Dina Kalifia; Selfi Artika
Jurnal ABDI RAKYAT Vol. 2 No. 1 (2025): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v2i1.484

Abstract

The main challenge faced by educators in the current digital era is creating interesting and informative learning materials. Graphic design plays an important role in creating effective learning materials. As an easy-to-use graphic design platform, Canva can be an effective solution to meet these needs. Using Canva in graphic design to create learning materials is a community service that aims to improve the quality of learning materials by utilizing the Canva graphic design platform. This research aims to provide tools and knowledge for educators in creating interesting and informative learning materials. This training was carried out using interactive lecture methods, direct practice and question and answer. The measurement of the results achieved is an increase in educators' skills and understanding in using Canva for graphic design. This is proven by the quality of the learning materials produced after the training. Evaluation of the learning materials that have been created also shows improvements in visual appeal, message clarity and overall learning effectiveness. Thus, the use of Canva in graphic design for creating learning materials has had a positive impact in improving the quality of learning and students' learning experiences.
Klasifikasi Tingkat Kematangan Pisang dengan YOLOv11 untuk Pengurangan Food Loss and Waste Rezky Dwi Ananda; Anna Dina Kalifia
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 2 (2025): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i2.4626

Abstract

Food loss and waste (FLW) is a serious issue in the global food system, including in the banana commodity sector. One of the main challenges lies in the manual fruit sorting process, which is prone to errors and inconsistencies due to human subjectivity. Although various deep learning approaches have been applied to fruit ripeness classification, most previous studies still rely on earlier versions of the YOLO model or conventional CNNs, which are limited in handling visual variations and detecting small objects in real-time. This study proposes the application of the YOLOv11 algorithm, a state-of-the-art deep learning model in computer vision, to automate the visual classification of banana ripeness levels. Leveraging YOLOv11's strengths in real-time object detection, the system is designed to categorize bananas into four ripeness classes. Experimental results show that the model achieved an mAP@0.5 of 0.835, with the highest precision of 0.934 and an average inference time of 63.8 milliseconds per image. Extreme classes such as unripe and overripe yielded high accuracy, while transitional classes experienced performance drops due to visual similarity. This approach is expected to support food loss reduction, improve sorting efficiency, and enhance the competitiveness of horticultural products in both domestic and export markets.
Sistem Rekomendasi Film Berdasarkan Genre Menggunakan Fuzzy Inference System Mamdani Dimas Wahyu Sejati; Alwi Syahri Arjuna; Taufik Yoga Pratama; Haryo Arimurti; Rizki Dimas Sasongko; Anna Dina Kalifia
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 6 (2025): NJMS - Januari 2025
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sistem rekomendasi dirancang sebagai wujud dalam mempermudah pengguna dalam menghasilkan hasil rekomendasi yang relevan sesuai dengan preferensi pengguna. Pada penelitian ini diusulkan sistem rekomendasi film berdasarkan genre. Metode yang digunakan adalah Fuzzy Inference System (FIS) Mamdani. Input yang digunakan berupa rating yang diklasifikasikan ke dalam kategori low, medium, dan high. Sementara output berupa score rekomendasi yang diklasifikasikan ke dalam kategori low, medium, high. Fungsi keanggotaan fuzzy dan aturan fuzzy digunakan dalam menghubungkan input dan output. Sistem diuji dengan menerima input genre preferensi pengguna kemudian sistem menghasilkan daftar hasil rekomendasi. Hasil dari pengujian ini telah menunjukkan bahwa sebuah sistem mampu menghasilkan hasil rekomendasi yang akurat dan relevan sesuai dengan input dari preferensi pengguna.
Co-Authors Ahmad Faizin, Ahmad Alwi Syahri Arjuna Amanda Aprilina Berlian Putri Zezar Devani Maria Naulu Dimas Wahyu Sejati Fadil Indra Sanjaya Haryo Arimurti Ihtisan, Muhammad Rayhan Budi Ikrima Alfi Irma Handayani Kartasasmita, Ivan Bhagaskara Najwa Salsa Bila Wijaya Nugrahman Reski Putra Nur, Taufik Mustafa Raisa Indira Zahra Rezky Dwi Ananda Risna tri prasetiyo Rizki Dimas Sasongko Saka Nusi Wiandra Saucha Diwandari Selfi Artika Taufik Yoga Pratama Wahyu Fajar Nugraha Wahyu Sri Utami Waluyo, Anita Fira Wijayanto, Wahyu Yesi Nurhana Dalimonthe