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All Journal International Journal Software Engineering and Computer Science (IJSECS) Journal of Moeslim Research Technik JuSTISe: Journal Data Science, Technology, Informatics and Security
Alkautsar Rahman
Universitas Kebangsaan Republik Indonesia
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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 1 
Generative Artificial Intelligence: Trends, Prospects, and Implications for the Creative Industry and Synthetic Data Alkautsar Rahman; Caroline; Novita Souisa
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3274

Abstract

Generative AI Generative AI has gained traction in both the creative industry and synthetic data generation. Trends and Directions in Generative Artificial Intelligence Research Aims and Research Questions This study explores the trends, possibilities and consequences of synthetic AI using both quantitative and qualitative methods. Methods We will collect information by reviewing literature, surveying 150 professionals and academic researchers, and conducting 20 semi-structured interviews with experts and industry leaders. Analysis of the reviewed literature reveals the large and growing popularity of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) as the two most prominent methods, but also the hike in popularity for transformers. Most respondents in the survey have used generative AI. The study found that 85% of respondents have experience with such AI, and eight-out-10 see it enabling increased creativity and innovation (90%), efficiency and scalability (80%) and the algorithmic provision of data as training sets for model training (75%). However, generative AI also faces challenges such as output quality (60%), complexity and computation (55%), and ethical and legal implications (70%). Interviews with experts added a deeper perspective, emphasizing the importance of transparency, accountability, and clear regulation. Quantitative and qualitative data analysis shows that generative AI has significant potential but needs improvement in technical and ethical aspects. The study's recommendations include improving output quality, computational efficiency, developing regulations, and committing to transparency
Controlling Suhu dan Kelembapan dengan Pengembangan Sirkulasi Udara pada Kandang Peternakan Ayam Broiler Juwita Intan Nur Alam; Jentot Tugiyono; Alkautsar Rahman
Journal Data Science, Technology, Informatics and Security Vol 1 No 1 (2023): Journal Data Science, Technology, Informatics and Security (Juni 2023)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v1i1.3274

Abstract

This research aims to develop a temperature and humidity control system with the development of air circulation in broiler chicken farm cages. The use of temperature and humidity sensors integrated with automatic control, as well as the Android monitoring interface, is used to create an optimal environment for broiler chickens. Sensor data is sent to the cloud platform for analysis and visualization. The results showed that the system can maintain the temperature and humidity within the desired range, contributing to the productivity and well-being of broiler chickens. With further development, this technology has the potential to improve livestock efficiency and management.
Perancangan Sistem Peringatan Dini Banjir Menggunakan Mikrokontroler Berbasis Android (Studi Kasus di Cianjur) Muhamad Irfan; Jentot Tugiyono; Alkautsar Rahman
Journal Data Science, Technology, Informatics and Security Vol 1 No 2 (2023): Journal Data Science, Technology, Informatics and Security (Desember 2023)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v1i02.3372

Abstract

Banjir sering terjadi di Indonesia. Terlebih khusus pada daerah jawa barat yang mempunyai luas wilayah 35.377.76 km2 yang memiliki 27 kabupaten/kota yang meliputi 18 kabupaten, 9 kota, 627 kecamatan, dan 2.957 desa. Di jawa barat khusnya wilayah kabupaten cianjur yang mempunyai potensi bahaya banjir sekitar 16.903(Ha) perkiraan jiwa terpapar 215.010, dan potensi kerugian material sekitar Rp 882.592 Milyar. Untuk membantu dalam segi monitoring peringatan dini banjir menggunakan Mikrokontroler, yang mana untuk mengetahui ketinggian air mealui sensor Ultrasonik HC-SR04 lalu diproses oleh Mikrokontroler LGT8F328P. hasil pengukuran ketinggian dikirimkan kepada aplikasi melalui komunikasi data dengan perangkat Bluetooth HM-10 yang saling terhubung satu sama lain. Yang mana didalam aplikasi nya menampilkan data ketinggian air secara realtime. Hasil pengujian yang telah dilakukan dapat melakukan monitoring ketinggian air yang berpotensi mengakibatkan banjir melaluli aplikasi android yang mendapatkan data dari sensor Ultrasonik. Yang mana dengan menggunakan sensor Bluetooth HM-10 sebagai media komunikasi data pengirim sinyal dengan jangkauan 5 – 10 meter dari lokasi pintu air cukup dibilang optimal, dan dengan tingkat akurasi dalam pengukuran ketinggian air dengan sensor ultrasonic HC-SR04 sebesar 98% itu sudah cukup bagus. Didalam aplikasi ini terdapat 4 status level ketinggian banjir yaitu Aman, Waspada, Kritis, Bencana.
Pembagian Beban Menggunakan PCC dan Failover Recursive Gateway di Jaringan Komputer Lingkungan SMK Al-Munawaroh Cianjur Dedi Dedi; Alkautsar Rahman
Journal Data Science, Technology, Informatics and Security Vol 2 No 2 (2024): Journal Data Science, Technology, Informatics and Security (Desember 2024)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v2i2.3896

Abstract

The A stable and efficient internet network is crucial to support the teaching and learning activities in educational institutions such as SMK Almunawwarah. However, challenges such as limited bandwidth and reliance on a single Internet Service Provider (ISP) often lead to network instability. This study implements load balancing using the Per Connection Classifier (PCC) method and a Failover Recursive Gateway system on a Mikrotik router to address these issues. The PCC method is used to evenly distribute network traffic across multiple ISP connections based on IP addresses, ports, and other parameters. Meanwhile, the failover recursive gateway ensures continuous connectivity by automatically switching traffic to a backup ISP when one ISP experiences downtime. This implementation successfully improves network stability, maximizes bandwidth utilization, and minimizes downtime. The results of the study indicate that with the integration of PCC load balancing and failover recursive, the network performance at SMK Almunawwarah becomes more optimal, thereby better supporting teaching and learning activities.
Monitoring Greenhouse dan Penyemprotan Cerdas Berbasis IoT pada Budidaya Kentang Lutfy Fauzy Firmansyah; Yasri; Alkautsar Rahman
Journal Data Science, Technology, Informatics and Security Vol 3 No 1 (2025): Journal Data Science, Technology, Informatics and Security (Juni 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i1.4315

Abstract

Potato productivity is often disrupted by pest attacks, leading to reduced yields. This research implements an IoT-based early warning system for pest detection and automated pesticide spraying on potato plants in a greenhouse. The system utilizes the YOLOv5 algorithm to detect armyworms and aphids using a mobile phone camera, supported by a NodeMCU microcontroller, soil moisture sensors, and the Blynk platform for real-time monitoring. A rule-based decision tree approach is used to regulate automatic spraying when the pest detection confidence level exceeds 70%. Field trials in Cibeureum Village, West Java, demonstrated a detection accuracy of 85% with a response time of 3–5 seconds. These results demonstrate the ability to reduce excessive pesticide use compared to manual methods and increase pest control efficiency. This smart farming system also provides real-time notifications via the Blynk app, facilitating remote monitoring and control by farmers. This implementation supports the concept of precision agriculture by optimally utilizing pesticides, maintaining productivity, and promoting sustainable agricultural practices.
Implementasi Kios Interaktif Berbasis AI dengan Gemini API dan RAG untuk Optimalisasi Sistem Informasi Kampus Firdaus Rhamadhan; Alkautsar Rahman; Oscar Hadikaryana
Journal Data Science, Technology, Informatics and Security Vol 3 No 2 (2025): Journal Data Science, Technology, Informatics and Security (Desember 2025)
Publisher : Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/justise.v3i2.4331

Abstract

Efficient and accurate information access is a fundamental challenge in higher education environments. This research aims to develop an interactive kiosk application based on artificial intelligence (AI) as a solution to optimize the information system at Universitas Kebangsaan Republik Indonesia (UKRI). The system is designed by integrating the Gemini Multimodal API with the Retrieval-Augmented Generation (RAG) framework to provide intelligent and efficient information services. The methodology includes building a campus-specific knowledge base from internal documents, which are processed into vector embeddings and stored in a Qdrant vector database. The RAG framework ensures that every response generated by the AI model is grounded in factual data from this knowledge base, thereby significantly improving accuracy. The implementation results show that the kiosk prototype successfully provides a natural and responsive multimodal (voice and text) interaction. Functional testing proves that the RAG mechanism dramatically outperforms a generic AI model in delivering relevant and accurate answers regarding campus information. In conclusion, this interactive kiosk has great potential to transform conventional information dissemination methods, making them more accessible and user-centric.
DEVELOPMENT OF AN INTEGRATED COMMUNICATION SYSTEM FOR 5G-BASED AUTONOMOUS VEHICLES Alkautsar Rahman; Felipe Souza; Raul Gomez; Rahmi Setiawati; Ardi Azhar Nampira
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1934

Abstract

The rapid advancement of autonomous vehicle technology necessitates robust communication systems to ensure safety, efficiency, and connectivity. The emergence of 5G technology presents opportunities to enhance communication capabilities for autonomous vehicles, enabling real-time data exchange and improved decision-making. This research aims to develop an integrated communication system for autonomous vehicles utilizing 5G technology. The study focuses on evaluating the performance, reliability, and latency of the proposed system in various driving scenarios. An experimental approach was employed, involving the design and implementation of a 5G-based communication framework for autonomous vehicles. Various tests were conducted in controlled environments to assess communication latency, data throughput, and system reliability. Different vehicular scenarios, including urban and highway driving, were simulated to evaluate performance under diverse conditions. The findings indicated that the integrated 5G communication system achieved a latency of less than 10 milliseconds, significantly enhancing real-time data transmission. Data throughput exceeded 1 Gbps, demonstrating the capability to support high-bandwidth applications. The system exhibited robust performance across various driving scenarios, with minimal data loss and high reliability. The research demonstrates the potential of 5G technology in transforming communication systems
Co-Authors Ardi Azhar Nampira Caroline Dedi Dedi Felipe Souza Firdaus Rhamadhan Jentot Tugiyono Juwita Intan Nur Alam Lutfy Fauzy Firmansyah Muhamad Irfan Novita Souisa Oscar Hadikaryana Rahmi Setiawati Raul Gomez Yasri