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All Journal Jurnal Pekommas Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer International Journal of New Media Technology Jurnal ULTIMATICS J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Teknologi Informasi dan Multimedia Jurnal Teknokes Journal of Community Development J-SAKTI (Jurnal Sains Komputer dan Informatika) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Arvita Agus Kurniasari
Department Of Information Technology, Politeknik Negeri Jember, Jember, Indonesia
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences

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Implementasi Deteksi Gerakan Tangan untuk Sistem Interaktif Kios menggunakan Metode Long Short-Term Memory (LSTM) Kurniasari, Arvita Agus; Wiryawan, I Gede; Dewi Puspitasari, Pramuditha Shinta; Rizaldi, Taufiq; Putra, Dhony Manggala
Komputika : Jurnal Sistem Komputer Vol. 14 No. 1 (2025): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v14i1.14914

Abstract

Deaf individuals in Indonesia face challenges in using voice-based technology. This study aims to develop an interactive kiosk system utilizing hand gesture detection based on Long Short-Term Memory (LSTM) to provide a more inclusive solution. The research process includes collecting hand gesture datasets using MediaPipe, splitting the dataset into training and testing data with a 75:25 ratio, and training the model using a Learning Rate Scheduler. The model architecture is designed to capture patterns from keypoint data by optimizing the use of dropout layers and the softmax activation function. The evaluation shows that the model achieves an accuracy of 90.22% on the test data, with an average precision of 91%, recall of 89%, and F1-score of 90%. The trial results also demonstrate consistent performance for simple gestures, while accuracy decreases for complex gestures and greater distances. This research provides a significant contribution to enabling voice-free interaction, particularly for deaf individuals, by integrating LSTM technology into interactive kiosk systems.
An Intelligent Fuzzy Logic-Controlled IoT System for Efficient Hydroponic Plant Monitoring and Automation Kurniasari, Arvita Agus; Puspitasari, Pramuditha Shinta Dewi; Perdanasari, Lukie; Yuana, Dia Bitari Mei; Jumiatun, Jumiatun
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1475

Abstract

This paper addresses the challenges of optimizing environmental conditions in hydroponic farming by integrating an Intelligent Fuzzy Logic-Controlled IoT System. The research problem lies in the inefficiency of traditional hydroponic monitoring systems, particularly in maintaining ideal conditions for plant growth while minimizing resource waste. This study aims to develop a system that leverages IoT technology and fuzzy logic to monitor and automate hydroponic processes more efficiently. Using sensors, the system continuously tracks key environmental parameters such as temperature, humidity, soil moisture, pH levels, and total dissolved solids (TDS). A fuzzy logic controller (FLC) triggers actions based on predefined rules. During testing, the system showed effective performance—for example, activating fans when temperature (31.2°C) and humidity (60%) indicated a need for cooling, and adjusting nutrient levels when pH (5.8) and TDS (450 ppm) were suboptimal. The system offers practical benefits through real-time adaptation using defuzzification and aggregation, ensuring precise resource control, improving efficiency, and reducing waste. This study highlights the system's potential to support sustainable agriculture by providing scalable solutions that enhance plant growth and optimize resource use, especially for small-scale farmers and urban farming initiatives.
Intelligence attendance monitoring system using Real-Time Face Recognition and Raspberry Pi Kurniasari, Arvita Agus; Wiryawan, I Gede; Rizaldi, Taufiq; Puspitasari, Pramuditha Shinta Dewi; Ernanta, Dimas Mulya Perkasa; Sari, Sella Putri
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 15 No. 2 (2025): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v15i2.102-113

Abstract

Recognition technology with Raspberry Pi to transform attendance management practices in educational institutions and workplaces. By harnessing advanced technologies like the Haar Cascade Classifier and Local Binary Patterns (LBP) algorithm, the system exhibits strong performance in accurately detecting and identifying faces across diverse environmental settings. Through rigorous experimental evaluation, the system achieves its highest accuracy in the distance comparison test at 30 cm, with an average accuracy of 92.4%. Similarly, it demonstrates optimal performance in the light comparison test at 100 lux, achieving an average accuracy of 91.3%. These results underscore the system's effectiveness in identifying faces in close proximity and under suitable lighting conditions. Overall, the proposed system offers a promising solution for optimizing attendance management processes while mitigating the shortcomings of traditional recording methods. By providing a reliable and efficient means of tracking attendance, it lays a solid groundwork for enhancing productivity and outcomes in both educational and professional settings.
Co-Authors Achmad Basuki Afriansyah, Faisal Lutfi Aji Seto Arifianto Al Fitra Yudha, Vasyilla Kautsar Ali Ridho Barakbah Bety Etikasari Bety Etikasari Bety Etikasari, Bety Denny Trias Utomo Dewi Puspitasari, Pramuditha Shinta Ernanta, Dimas Mulya Perkasa I Gede Wiryawan Isnaini, Misbachur Rohmatul Jumiatun Jumiatun Jumiatun Jumiatun, Jumiatun Kurniasari, Leli Lukie Perdanasari Maulidiyah, Azizah Afni Octavian Yudha Mahendra Perdanasari, Lukie Pertami, Rindha Rentina Darah Pramuditha Shinta Dewi Puspitasari Puspitasari, Pramuditha Shinta Dewi Puspitasari, Trismayanti D. Puspitasari, Trismayanti Dwi Puspitasari, Trismayanti Dwi Putra, Dhony Manggala Ratri Cahyaning Winedhar Ria Chandra Kartika Ria Chandra Kartika Sari, Sella Putri Taufiq Rizaldi Yuana, Dia Bitari Mei Yuwita, Kirana