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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Gravity : Jurnal Ilmiah Penelitian dan Pembelajaran Fisika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi Conference SENATIK STT Adisutjipto Yogyakarta INTECOMS: Journal of Information Technology and Computer Science JSAI (Journal Scientific and Applied Informatics) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Informasi dan Teknologi ILKOMNIKA: Journal of Computer Science and Applied Informatics JISA (Jurnal Informatika dan Sains) Journal of Computer System and Informatics (JoSYC) International Journal of Applied Business and Information Systems Infotek : Jurnal Informatika dan Teknologi Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal Software Engineering and Computer Science (IJSECS) Journal of Information System and Artificial Intelligence Journal of Scientific Research, Education, and Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Abdi Rakyat
Waluyo, Anita Fira
Universitas Teknologi Yogyakarta
Religion Aerospace Engineering Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Conformer-Performer: An Efficient Architecture for Voice Activity Detection Apriliyanto, Echa; Waluyo, Anita Fira
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.979

Abstract

Voice Activity Detection (VAD) is a crucial pre-processing step for speech technologies, yet standard Conformer architectures suffer from quadratic computational complexity. This study introduces the Conformer-Performer, a novel architecture that replaces standard multi-head self-attention with the Fast Attention Via positive Orthogonal Random features (FAVOR+) mechanism to achieve linear complexity. The objective was to develop an efficient VAD model that maintains high accuracy suitable for resource-constrained applications. The model was trained on the multilingual FLEURS dataset using a teacher-student approach and extensive data augmentation. Experimental results demonstrate that the Conformer-Performer achieves an F1-score of 98.29%, which is highly competitive with the standard Conformer's 98.41%, while achieving a 7.8-fold reduction in peak GPU memory usage and a 3.46-fold speedup in CPU inference time. Furthermore, the proposed model significantly outperforms the SileroVAD baseline. These findings confirm that the Conformer-Performer offers a compelling balance of accuracy and efficiency, making it highly suitable for real-time, on-device speech processing.
Golden Goal Futsal Court Rental Mobile Application Using the First Come First Serve (FCFS) Algorithm and Payment Gateway Integration Sirajudin, Sirajudin; Sanjaya, Fadil Indra; Waluyo, Anita Fira
JISA(Jurnal Informatika dan Sains) Vol 8, No 2 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i2.2545

Abstract

The futsal pitch rental process at Golden Goal is still done manually through direct communication or text messages, which often results in various problems such as unstructured booking queues, schedule conflicts due to the lack of a clear queuing system, and late payments. These problems result in low operational efficiency and an increased potential for scheduling errors. This research aims to develop a mobile-based futsal pitch rental application equipped with the implementation of the First Come First Serve (FCFS) algorithm to ensure the booking process is carried out based on the user's arrival time in a fair and orderly manner. The system development method used is the Waterfall model, which includes requirements analysis, design, implementation, testing, and maintenance. The application was developed using the Flutter framework because it has the ability to produce Android and iOS applications with only a single codebase, faster development time, and stable and responsive interface performance. These advantages make Flutter suitable for building a real-time booking system that requires fast interaction and a consistent user experience. Furthermore, the application is integrated with Midtrans services as a payment gateway to facilitate automatic digital payment transactions. Testing results using the black-box method indicate that all key features, including schedule selection, FCFS-based queuing mechanism, payment processing, and rental data management, have run well as needed. The implementation of this system has proven to be able to reduce schedule conflicts, improve the accuracy of the booking process, and increase the efficiency of rental management at Golden Goal. Thus, this application can be an effective and modern solution to address the problem of futsal field rentals that have been handled manually.
Design and Development of IoT-Based Mobile Application for Heart Rate and Body Temperature Monitoring Den Bintang Restu Satria Shandra; Anita Fira Waluyo
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5945

Abstract

The rapid development of Internet of Things (IoT) technology has influenced many fields, especially healthcare delivery systems. This paper will analyze the effect of IoT-based mobile applications on the quality of healthcare services through real-time patient monitoring. The application developed in this study was used to monitor vital signs heart rate and body temperature using sensors attached to mobile devices. The research methodology includes system architecture design and implementation with MAX30102, DS18B20, and MLX90614 sensors where the ESP32 microcontroller acts as the main integration platform. The application development was done using Android Studio and Flutter frameworks. User testing showed significant improvements in the speed at which critical conditions are detected among patients and also in the time taken by healthcare providers to respond to such situations. User satisfaction ratings indicated high acceptance levels, thus proving a large potential market for digital healthcare. Results from this study also proved that IoT-mobile application integration can uplift standards in healthcare services while providing a practical solution for modern-day medical practice.
Mobile App for News Bias Detection Using Rule-Based Classification Muhammad Rizqi Raka Siwi; Anita Fira Waluyo
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 5 No. 2 (2026): Vol. 5 No. 2 2026
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v5i2.1122

Abstract

In the digital era, online media has become a primary source of information, but it also increases the risk of biased news dissemination that can influence public opinion. This study aims to develop a mobile application for automatically detecting bias in online news using web scraping and rule-based text classification. The application is built with Flutter and uses Firebase as the backend. The system retrieves articles from user-provided URLs and analyzes their content based on predefined keywords categorized into political, sensational, and confirmation bias. The results are presented as a bias score, label, and comparative analysis, and stored in user history. Black-box testing shows that all main features function as expected. The application is intended to support media literacy by helping users identify news bias independently.
Study of the Application of Gamification in Korean Language Learning Applications Revi Ananda Kirana Putri; Anita Fira Waluyo
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i4.606

Abstract

This study aims to analyze the application of gamification in a mobile-based Korean language learning application. The increasing popularity of mobile devices and the demand for interactive learning experiences make mobile apps a commonly used tool in language learning. Gamification, applying game design elements in a non-game context, has increased user motivation and engagement. This study investigates how gamification elements such as points, badges and leaderboards can be integrated into a mobile language learning app aimed at Korean language beginners to enhance the learning experience. Qualitative research methods were used, involving developing and implementing a prototype app integrating gamification elements. The research participants were beginners who had just started learning Korean and were asked to use the app for a period of time. During post-use interviews, data was collected to evaluate the effectiveness of gamification in increasing engagement and motivation. The results showed that gamification elements significantly increased user engagement and motivation, improving learning outcomes. The addition of features such as progression levels and daily challenges was also shown to encourage users to be more consistent in learning. The spiral development method was applied to this application. This method involves iterative iterations between planning, development, testing and evaluation, allowing for improvements based on user feedback. Each development cycle focused on refining the gamification elements and improving the app's functionality.
Workshop Pengolahan Data Nilai Siswa Menggunakan Microsoft Excel di SD Negeri Jumeneng Anita Fira Waluyo; Irma Handayani; Ikrima Alfi; Wahyu Sri Utami; Farida Ardiani; Selfi Artika
Jurnal ABDI RAKYAT Vol. 1 No. 1 (2024): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v1i1.293

Abstract

Workshop on processing student grades data using Microsoft Excel is a training activity that aims to introduce the use of Microsoft Excel in managing and analyzing student grades data effectively. This workshop is aimed at teachers at SD Negeri Jumeneng with the aim of increasing their understanding of using Excel as a tool for processing data. In this workshop, the participants will be given an explanation regarding the use of Excel in processing student grade data. The material includes an introduction to relevant basic Excel formulas such as SUM, AVERAGE, MAX, MIN, IF, and others. In addition, participants will also be given guidance on graphing student grade data using Excel. This workshop was carried out through a practical approach by providing training to participants to apply Excel formulas and functions in processing student value data. It is hoped that this workshop will provide significant benefits for teachers at SD Negeri Jumeneng in managing and analyzing student grade data more efficiently using Microsoft Excel.
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.
Mobile Music Recommendation Using K-Nearest Neighbor and Artificial Intelligence Egy Septiandy Kusmawan; Anita Fira Waluyo
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 5 No. 1 (2026): Vol. 5 No. 1 2026
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v5i1.1000

Abstract

The development of online music services demands increasingly personalized and contextual recommendation systems. However, most existing systems are still limited to processing historical data without taking into account the emotional state or activities of users. This study aims to design a machine learning-based music recommendation system that generates recommendations based on the user's listening history and artificial intelligence (AI) to produce personalized song recommendations based on the user's mood and activity. The methods used include song data analysis from the Spotify API, the K-Nearest Neighbor (KNN) algorithm, and the application of a Large Language Model (LLM) as a prompt-based interactive interface. Test results show that the system is capable of providing song recommendations with a 95% similarity rate using machine learning based on the songs listened to by users, and the application of AI produces more specific recommendations according to user prompts.
Design and Development of IoT-Based Mobile Application for Heart Rate and Body Temperature Monitoring Den Bintang Restu Satria Shandra; Anita Fira Waluyo
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5945

Abstract

The rapid development of Internet of Things (IoT) technology has influenced many fields, especially healthcare delivery systems. This paper will analyze the effect of IoT-based mobile applications on the quality of healthcare services through real-time patient monitoring. The application developed in this study was used to monitor vital signs heart rate and body temperature using sensors attached to mobile devices. The research methodology includes system architecture design and implementation with MAX30102, DS18B20, and MLX90614 sensors where the ESP32 microcontroller acts as the main integration platform. The application development was done using Android Studio and Flutter frameworks. User testing showed significant improvements in the speed at which critical conditions are detected among patients and also in the time taken by healthcare providers to respond to such situations. User satisfaction ratings indicated high acceptance levels, thus proving a large potential market for digital healthcare. Results from this study also proved that IoT-mobile application integration can uplift standards in healthcare services while providing a practical solution for modern-day medical practice.
Implementasi Forward Chaining Dalam Sistem Pakar Untuk Menentukan Dosis Pemupukan Tahunan Kelapa Sawit Rayka Mulya Ramadhan; Anita Fira Waluyo
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3357

Abstract

Proper fertilization of oil palm is crucial for increasing plant productivity, however farmers often face challenges in determining the correct fertilizer dosage based on plant conditions and soil types. This study aims to develop an expert system using the forward chaining method to determine the annual fertilizer dosage for oil palm. The forward chaining method was chosen due to its ability to draw conclusions progressively based on initial data (soil type and plant age). The system operates by applying pre-programmed rules to generate accurate fertilizer dosage recommendations. Testing results show that the system can provide precise dosages based on the age category and soil type of the oil palm. The implementation of this system is expected to assist oil palm farmers in improving agricultural efficiently.Keywords: Forward chaining; Expert system; Oil palm; Fertilizer dosageAbstrakPemupukan kelapa sawit yang tepat sangat penting untuk meningkatkan produktivitas tanaman, namun sering kali petani kesulitan dalam menentukan dosis pupuk yang sesuai dengan kondisi tanaman dan jenis tanah. Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis metode forward chaining dalam menentukan dosis pemupukan tahunan pada kelapa sawit. Metode forward chaining dipilih karena kemampuannya dalam menarik kesimpulan secara bertahap berdasarkan data awal (jenis tanah dan umur tanaman). Sistem ini bekerja dengan cara mengaplikasikan aturan (rule) yang sudah diprogramkan untuk menghasilkan rekomendasi dosis pupuk yang tepat. Hasil pengujian menunjukkan bahwa sistem dapat memberikan dosis yang akurat sesuai dengan kategori umur dan jenis tanah kelapa sawit. Dengan implementasi sistem ini, diharapkan dapat membantu petani kelapa sawit dalam meningkatkan hasil pertanian secaraefisien.
Co-Authors Afina Dwi Saputri Aji Nugraha, Gilang Wisnu Alfatah, Ahmat Ali, Hilmi Amilianto, Alif Sufi Anna Dina Kalifia Apriliyanto, Echa Arganta, Nanda Fahri Den Bintang Restu Satria Shandra Egy Septiandy Kusmawan Fadil Indra Sanjaya Fajar Satria Fajar, Muhammad Holid Farida Ardiani Fiqih Refwahajan Harsojo Sabarman Ikrima Alfi Irma Handayani Irma Handayani, Irma Khadijah, Ayu Suci Klabut Ratih Valiza Dwi Sabrina M. Wira Tama Febriwahono Muhammad Fachrie Muhammad Rizqi Raka Siwi Muhammad Rizqi Retrianto Murti Retnowo Pratama, Ryan Ali Prayogo, Muhammad Tegar Putra, Taufik Rizki Putri, Dhea Desliana Rahayu, Vani Ramadhan, Muhamad Ali Nugroho Rayka Mulya Ramadhan Refwahajan, Fiqih Retrianto, Muhammad Rizqi Revi Ananda Kirana Putri Rofik Hakiki Sabilatul Isti Karoh Satria, Fajar Selfi Artika Sirajudin Sirajudin Wahyu Sri Utami Widia Widia