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All Journal SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan NJCOM: Community Service Journal
Fitri Yani, Mega
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Social Sciences Other

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Data Mining: Clustering and Correlation Analysis of Marine Potential: Insights from Capture Fisheries, Coral Reef Quantity, and Plankton Abundance Muhdiantini, Cindy; Fitri Yani, Mega; Auliya Rahman, Ilham; Maryati, Ati
SITEKNIK: Information Systems, Engineering and Applied Technology Vol. 2 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14699240

Abstract

Indonesia, sebagai negara kepulauan dengan wilayah laut yang luas, memiliki potensi besar dalam memanfaatkan sumber daya laut, seperti terumbu karang, mangrove, budidaya, dan penangkapan ikan laut. Pemanfaatan yang berkelanjutan tidak hanya berdampak positif pada ekosistem laut tetapi juga meningkatkan kesejahteraan masyarakat. Untuk mendukung pengelolaan berkelanjutan, diperlukan analisis data mendalam guna mengidentifikasi pola dan hubungan yang relevan. Data mining menjadi alat efektif untuk menggali pola yang tersembunyi, terutama melalui teknik clustering. Analisis clustering dilakukan terhadap data perikanan tangkap, kuantitas terumbu karang, dan kelimpahan plankton guna menemukan kelompok homogen dalam dataset. Proses ini diawali dengan pemilihan data sesuai kriteria, dilanjutkan dengan preprocessing untuk menyaring data redundan. Hasilnya, terdapat tiga cluster utama: cluster 0 berfokus pada terumbu karang, cluster 1 pada jumlah ikan tangkap, dan cluster 2 pada kelimpahan plankton.
Trends and Innovations in CRM for Patient Management: A Literature Review Muhdiantini, Cindy; Fitri Yani, Mega; Ibnu Zulkarnain
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 2 (2025): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15180642

Abstract

Customer Relationship Management (CRM) in healthcare services has evolved rapidly with advancements in information technology. CRM not only functions as a patient relationship management tool but also as a solution to enhance data-driven care, service personalization, and operational efficiency. Current trends in CRM involve the utilization of Artificial Intelligence (AI) and Machine Learning (ML), integration with wearable devices for real-time health monitoring, the use of Big Data for analyzing population health trends, as well as the adoption of telemedicine and mobile health applications connected to CRM. This study aims to review the latest developments in CRM for patient management and its impact on healthcare systems.
Digitalisasi Manajemen Aset Desa Citeureup: Implementasi Aplikasi untuk Pengelolaan Aset yang Transparan dan Efisien Riza, Tengku Ahmad; Fitri Yani, Mega
NJCOM: Community Service Journal Vol. 2 No. 1 (2026): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18434497

Abstract

Desa Citeureup di Kecamatan Dayeuhkolot, Kabupaten Bandung, menghadapi tantangan dalam pengelolaan aset desa yang masih bergantung pada sistem pencatatan manual menggunakan Microsoft Excel. Sistem ini memiliki berbagai keterbatasan dalam hal transparansi, akurasi data, dan aksesibilitas informasi bagi masyarakat. Program pengabdian masyarakat ini bertujuan untuk mengatasi permasalahan tersebut melalui pengembangan sistem manajemen aset berbasis website yang mudah diakses, aman, dan terstruktur. Kegiatan dilakukan melalui beberapa tahapan, mulai dari survei kebutuhan, pengembangan sistem, pelatihan, hingga implementasi dan evaluasi. Website yang dikembangkan mencakup fitur pencatatan aset real-time, pelacakan kondisi, dan pelaporan otomatis. Pelatihan dan pendampingan dilakukan untuk meningkatkan kapasitas aparatur desa dan partisipasi masyarakat. Hasil evaluasi awal menunjukkan peningkatan signifikan dalam efisiensi, akuntabilitas, dan transparansi pengelolaan aset desa. Keberhasilan program ini menegaskan pentingnya digitalisasi tata kelola desa yang berbasis konteks lokal dan dukungan aktif pemerintah desa.
A Bibliometric Analysis of Research Trends in AI Integration within Cloud Computing Fitri Yani, Mega; Shania Putri, Istifa; Muhdiantini, Cindy; Munadhil, Farid
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19927559

Abstract

The integration of Artificial Intelligence (AI) and cloud computing has emerged as a rapidly expanding research area, driven by the need for scalable, elastic, and cost-efficient intelligent systems. Cloud infrastructures enable dynamic resource allocation and pay-as-you-go models, making them ideal environments for AI model training and deployment. Despite the growing volume of publications, a structured mapping of the intellectual landscape of AI–cloud integration remains necessary. This study aims to analyze the research landscape of AI integration in cloud computing using a bibliometric approach. Data were collected from the Scopus database for the period 2021-2026 using the query “Artificial Intelligence” AND “Cloud Computing”, focusing on English-language articles. The analysis was conducted using the Bibliometrix package in R to examine Annual Scientific Production, Countries Collaboration World Map, Most Relevant Affiliations, Co-occurrence Network, Thematic Map, Most Relevant Words, Trend Topics. The findings reveal a significant increase in publications after 2021, indicating accelerating academic interest in AI–cloud convergence. International collaboration is dominated by countries such as India, China, Saudi Arabia, the United States, and the United Kingdom. Thematic analysis shows that artificial intelligence and cloud computing function as foundational themes, with machine learning acting as a key driving force. Emerging topics such as edge computing and real-time systems suggest a shift toward intelligent, distributed, and data-intensive cloud environments.
From Technical Security to Human Awareness: A Bibliometric Review of Cybersecurity Education Research Muhdiantini, Cindy; Fitri Yani, Mega; Shania Putri, Istifa
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 2 (2026): April
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19897820

Abstract

The rapid advancement of information technology has increased cybersecurity threats, emphasizing the importance of education in building security awareness and human-centered defense capabilities. As research on cybersecurity education continues to grow, a systematic understanding of its research trends and thematic evolution is required. This study analyzes global research trends in cybersecurity education using a bibliometric approach. A total of 189 Scopus-indexed publications from 2020 to 2026 were analyzed using the bibliometrix R package and the Biblioshiny interface. The analysis examines annual publication growth, dominant keywords, evolving research topics, and geographical research contributions. The results indicate a steady increase in scientific production, confirming cybersecurity education as an expanding research domain. While technical topics such as network and data security remain prominent, recent research shows a clear shift toward education, training, and security awareness, highlighting the growing importance of human factors in cybersecurity. In addition, the findings reveal an imbalance in global research contributions and relatively limited international collaboration. This study provides a concise overview of the development and structure of cybersecurity education research and offers insights to support future studies, curriculum development, and policy formulation.
Co-Authors Auliya Rahman, Ilham Ibnu Zulkarnain Maryati, Ati Muhdiantini, Cindy Munadhil, Farid Shania Putri, Istifa Tengku Ahmad Riza