Article Per Year (5 Year)
p-Index From 2021 - 2026
2.459
P-Index
This Author published in this journals
All Journal Jurnal Pekommas Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer International Journal of New Media Technology Jurnal Sisfokom (Sistem Informasi dan Komputer) 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

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
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.
Pelatihan Pengemasan Sayur Hidroponik dan Pemasaran Berbasis Multimedia Sebagai Upaya Peningkatan Keterampilan Siswa SLBN Jember Rindha Rentina Darah Pertami; Trismayanti Dwi Puspitasari; Jumiatun Jumiatun; Arvita Agus Kurniasari; Azizah Afni Maulidiyah
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1445

Abstract

Jember State Special School (SLB) through the Pancasila Student Profile Strengthening Project (P5) vocational through the theme "Let's garden". The implementation of the project has several obstacles, namely the limited number of teachers in managing the number of students if they have to do direct practical activities. So that a visual, communicative, and interesting learning method is needed so that students can easily understand it. The purpose of this activity is to improve the skills of SLB N Jember students. The implementation time is from May to August 2024. The methods used include observation, training in practice, monitoring, and evaluation. They are learning with visual or props techniques Based on the results of the activities that have been carried out. That there are 81% of students understand hydroponic vegetable packaging, and 60% of students who can understand the concept of packaging design, and marketing carried out through WhatsApp business so that they can improve their Agro-Entrepreneurship skills. This activity hopes to foster an entrepreneurial spirit in students as a provision after school. The training uses a learning system with visual or props techniques assisted by teachers at school. This activity continues to be accompanied by monitoring and evaluation so that it can be sustainable.
Land Suitability Assessment with TOPSIS in the Agrarian Sector Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Pramuditha Shinta Dewi Puspitasari; Taufiq Rizaldi; I Gede Wiryawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 3 (2026): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i3.2606

Abstract

Sustainable development for agricultural productivity and environmental conservation necessitates proper land use and utilization planning. Land suitability analysis is a key tool in evaluating land potential by considering various aspects such as altitude, solar radiation, rainfall, humidity, temperature, wind speed and soil pH. Appropriate decision-making in this context requires processing and analysis of diverse datasets, often involving complex multi-criteria evaluations. Among the various Multi-Criteria Decision-Making (MCDM) methods, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) stands out due to its simplicity, efficiency, and ability to handle both quantitative and qualitative criteria. TOPSIS ranks alternatives based on their distance from an ideal solution (the best) and a negative ideal solution (the worst), making it a widely adopted method in land evaluation studies. This research presents the development of a web-based Land Suitability Assessment with TOPSIS in the Agrarian Region of Bondowoso Regency. This system is built using PHP as a server-side language, utilizing web technology for wider accessibility and real-time user interaction supported by a Geographic Information System.. Using weather parameter data with a resolution of 0.50 x 0.50 (approximately 55 km x 55 km per grid), this Decision support system shows an accuracy level of 82.60% with comparative data for 2023. This system is expected to facilitate more effective and efficient decision-making in sustainable land use planning.
Co-Authors Achmad Basuki Afriansyah, Faisal Lutfi Aji Seto Arifianto Al Fitra Yudha, Vasyilla Kautsar Ali Ridho Barakbah Azizah Afni Maulidiyah Bety Etikasari Bety Etikasari Bety Etikasari, Bety Denny Trias Utomo, Denny Trias Dewi Puspitasari, Pramuditha Shinta Ernanta, Dimas Mulya Perkasa I Gede Wiryawan Isnaini, Misbachur Rohmatul Jumiatun Jumiatun Jumiatun Jumiatun, Jumiatun Kurniasari, Leli Lukie Perdanasari Octavian Yudha Mahendra Perdanasari, Lukie 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 Rindha Rentina Darah Pertami Sari, Sella Putri Taufiq Rizaldi Taufiq Rizaldi Yuana, Dia Bitari Mei Yuwita, Kirana