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All Journal Jurnal Pengabdian Masyarakat Waradin Jurnal of Information Technology and Society (JITS) Global Science: Journal of Information Technology and Computer Science
Suprayuandi Pratama
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Computer Science & IT Social Sciences Other

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Pemanfaatan Media Sosial dalam Pemasaran Produk UMKM (Ikan Keruk) di Kelurahan Air Jukung, Kabupaten Bangka Suprayuandi Pratama; Ariska Ariska; Melly Melly; Helmalia Helmalia; Dina Mariska; Ullia Asyhari; Lupita Lupita; Tsabita Putri Anjani; Candra Alamsyah; Junaidi Junaidi
Jurnal Pengabdian Masyarakat Waradin Vol. 4 No. 3 (2024): Jurnal Pengabdian Masyarakat Waradin
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/wrd.v4i3.382

Abstract

Technological developments have brought many changes, especially in the way we interact and do business. Currently, social media is widely used as a marketing platform for MSME products, this is because through social media the dissemination of information occurs quickly and it also allows MSME players to communicate with consumers directly and promote their products at relatively low costs. However, there are still many MSME actors who have not optimally utilized social media, such as dredged fish MSME actors in Air Jukung sub-district who only use Facebook to market their products. Because of this, the aim of this service is to provide assistance and direct practice in using social media to MSMEs in dredging fish in Air Jukung sub-district in optimizing marketing strategies in an interesting and unique way. The method for this service is in the form of training in making unique posters through the Canva application and interesting content on social media and processing it to attract consumer interest. The results of the service activities ran smoothly and received a positive response from social media users.
Pengembangan Aplikasi Asisten Virtual Menggunakan Machine Learning Berbasis Mobile untuk Meningkatkan Pelayanan Kampus di Universitas Muhammadiyah Bangka Belitung Gunawan, Ari; Eka Altiarika; Suprayuandi Pratama; Yudistira Bagus Pratama
Jurnal Teknologi Informasi dan Masyarakat Vol 2 No 2 (2024): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v2i2.45

Abstract

The development of technology, particularly in the fields of artificial intelligence (AI) and machine learning, has transformed the paradigm of information services across various sectors, including education. This research aims to develop a mobile-based virtual assistant application using machine learning algorithms to enhance information accessibility at Universitas Muhammadiyah Bangka Belitung. The research methodology employed in this study is a qualitative approach with a waterfall development model. Data collection was conducted through observation, interviews, and questionnaire distribution. The research findings indicate that the developed virtual assistant application is capable of providing faster, more precise, and accurate information services to students, faculty, and other campus stakeholders. The benefits of this research include improved time efficiency in information services, reduction of errors in information delivery, and enhancement of campus reputation. This research has practical implications, including recommendations for Universitas Muhammadiyah Bangka Belitung to continue developing and implementing virtual assistant applications as part of a strategy to enhance technology-based information services in the future. This research's theoretical contributions expand the literature on the application of AI and machine learning technologies in higher education contexts in Indonesia, while also providing practical insights for other educational institutions interested in adopting similar technologies. Furthermore, this research opens up opportunities for further studies into the development of AI-based information systems in educational environments. Keywords: Virtual Assistant; Machine Learning; Artificial Intelligence; Mobile Application; Information Services
Quantum-Inspired Meta-Blockchain Consensus Algorithm for Green Cloud Data Centers Optimizing Energy and Latency Trade-Offs Ricky Imanuel Ndaumanu; Suprayuandi Pratama; Gulay Yusifli Elshad
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 3 (2025): September: Global Science: Journal of Information Technology and Computer Scien
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i3.178

Abstract

The increasing demand for cloud computing services has led to the rapid expansion of cloud data centers, which consume significant amounts of energy and contribute substantially to global CO2 emissions. As the IT industry grows, the environmental impact of these data centers becomes an urgent concern. Green Cloud Computing (GCC) has emerged as a solution to mitigate this impact by focusing on energy efficiency and reducing carbon footprints while maintaining the necessary functionality and performance of cloud infrastructures. However, traditional blockchain consensus algorithms such as Proof of Work (PoW) and Proof of Stake (PoS) face limitations regarding energy consumption and scalability, which exacerbates the environmental burden. This study proposes a quantum-inspired blockchain consensus algorithm designed to optimize energy consumption and reduce latency in cloud data centers. By integrating quantum principles such as superposition and entanglement, the algorithm enhances task scheduling and resource utilization, enabling more energy-efficient operations without sacrificing performance. Simulations in a green cloud environment showed that the quantum-inspired algorithm resulted in up to a 30% reduction in energy usage compared to traditional consensus methods, with a 40% improvement in consensus processing time. These results suggest that quantum-inspired algorithms hold significant potential for enhancing the sustainability of cloud infrastructures by improving energy efficiency and scalability. Furthermore, this study discusses the feasibility of implementing quantum-inspired algorithms on classical hardware, addressing challenges in scalability and integration into existing blockchain frameworks. The findings provide valuable insights into the potential of quantum-inspired technologies to drive energy-efficient solutions in cloud computing.
Co-Authors Ari Gunawan Ariska Ariska Candra Alamsyah Dina Mariska Eka Altiarika Gulay Yusifli Elshad Helmalia Helmalia Junaidi Junaidi Lupita Lupita Melly Melly Ricky Imanuel Ndaumanu Tsabita Putri Anjani Ullia Asyhari Yudistira Bagus Pratama