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All Journal SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan NJCOM: Community Service Journal
Cindy Muhdiantini
Telkom University, Indonesia
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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Strategi Pengembangan Wisata Ziarah Makam Waliyullah K.H. Raden Abdul Majid sebagai Potensi Pariwisata Rohani di Desa Mangunreja Tasikmalaya Rd. Rohmat Saedudin; Siti Hajar Komariah; Mega Fitri Yani; Cindy Muhdiantini; Ilham Auliya Rahman; Richard Tryas Sembiring; Muhammad Dwi Hary Sandy
NJCOM: Community Service Journal Vol. 1 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14756599

Abstract

Pariwisata di Indonesia mengalami transformasi menjadi segmen-segmen bervariasi, termasuk wisata sosial, budaya, pendidikan, agama, dan lainnya. Segmentasi ini memungkinkan pengalaman wisata yang beragam, dari menikmati keindahan alam hingga rekreasi keluarga. Salah satu wacana yang semakin mendapat perhatian adalah wisata rohani, khususnya wisata ziarah makam. Kegiatan ini dianggap memberikan nilai spiritual tinggi dan ketenangan kepada pengunjung, terutama saat mengunjungi makam tokoh agama seperti Waliyullah K.H Raden Abdul Majid di Desa Mangunreja Tasikmalaya. Meskipun memiliki potensi besar dalam kontribusi ekonomi lokal dan pelestarian budaya, wisata ziarah tersebut menghadapi berbagai tantangan. Fasilitas yang kurang memadai, kurangnya pengelolaan dan promosi efektif, serta dukungan yang minim dari pemerintah dan komunitas lokal menjadi hambatan. Oleh karena itu, langkah-langkah strategis perlu diambil, seperti peningkatan fasilitas, pengelolaan, dan promosi. Kolaborasi antara pemerintah, swasta, dan komunitas lokal dapat mendukung rencana implementasi yang terinci, termasuk identifikasi potensi wisata, peningkatan fasilitas, pengelolaan efektif, strategi promosi, tahapan pengembangan, alokasi sumber daya, dan evaluasi kinerja. Dengan demikian, diharapkan dapat meningkatkan potensi wisata ziarah, menciptakan manfaat ekonomi merata, dan menjaga kelestarian budaya serta nilai spiritual.
Fine-Tuning Panoptic FPN with ResNet-50 for Maritime Obstacle Detection on the LaRS Dataset Istifa Shania Putri; Sugih Ahmad Fauzan; Mega Fitri Yani; Cindy Muhdiantini
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 3 No. 3 (2026): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20768168

Abstract

Maritime obstacle detection is a critical challenge for Unmanned Surface Vehicles (USVs) operating in complex and dynamic environments. This study investigates the effectiveness of fine-tuning Panoptic FPN, a Mask R-CNN-based architecture augmented with Feature Pyramid Networks, for panoptic segmentation on the LaRS (Lake, River, Seas) dataset. Unlike prior work that explored model comparisons broadly, this research focuses specifically on the impact of hyperparameter tuning and backbone selection on maritime panoptic segmentation performance. Through systematic ablation studies, we demonstrate that adjusting the learning rate to 0.002 and the gamma decay factor to 0.2 yields significant improvements. Our fine-tuned Panoptic FPN with a ResNet-50 backbone achieves a Panoptic Quality (PQ) of 45.31%, surpassing the previous state-of-the-art Mask2Former Swin-B (41.7%) by 3.61 percentage points. Notably, ResNet-50 outperforms the deeper ResNet-101 backbone (36.47% PQ), suggesting that heavier architectures may overfit on domain-specific maritime datasets. Furthermore, Panoptic FPN requires only 8 hours of training compared to approximately 2 days for Mask2Former Swin-L, demonstrating superior computational efficiency. These findings highlight that targeted fine-tuning of lightweight architectures can outperform larger transformer-based models in maritime panoptic segmentation tasks.
A Bibliometric Analysis of Research Trends in AI Integration within Cloud Computing Mega Fitri Yani; Istifa Shania Putri; Cindy Muhdiantini; Farid Munadhil
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 Cindy Muhdiantini; Mega Fitri Yani; Istifa Shania Putri
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.
Community Empowerment of MSMEs through Business Model Canvas Training and the Utilization of Digital Technology in Business Development Siti Hajar Komariah; Ananda Risya Triani; Cindy Muhdiantini; Mega Fitri Yani
NJCOM: Community Service Journal Vol. 2 No. 2 (2026): JULY
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21629347

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in supporting community economic growth. However, many MSME actors still face challenges in business management, business model development, and the use of digital technology. This community service program aims to improve MSME capacity through training and mentoring on the Business Model Canvas (BMC), entrepreneurship, and digital marketing strategies. The program was conducted with Wahana Bina Insani in Bandung Regency using a participatory approach, including needs identification, training, hands-on practice, and evaluation. The materials covered business model concepts, the nine elements of BMC, branding, social media use, and digital content creation. Participants practiced developing their own business models based on their enterprises. The results showed improved understanding of structured business planning, customer segmentation, value creation, and digital marketing utilization. This program is expected to enhance MSME adaptability and competitiveness in the digital economy era.
Community-Based Flood Monitoring and Mitigation Education through the Implementation of Biopore Systems in Cangkuang Kulon Village Rd. Rohmat Saedudin; Cindy Muhdiantini; Mega Fitri Yani
NJCOM: Community Service Journal Vol. 2 No. 2 (2026): JULY
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21629704

Abstract

Floods are among the most common hydrometeorological disasters in Indonesia and have significant impacts on the social and economic well-being of communities. Cangkuang Kulon Village, Bandung Regency, is one of the areas vulnerable to flooding, highlighting the need to strengthen community capacity in disaster mitigation. This community service program aimed to enhance public understanding of community-based flood monitoring and mitigation through the implementation of biopore systems and the provision of supporting facilities. The activity involved village officials and local community members. The implementation methods included educational sessions, interactive discussions, and the handover of biopore construction equipment. The results indicated an improvement in community understanding of environmental monitoring, the application of biopore systems as a flood mitigation measure, and the importance of community participation in building sustainable disaster preparedness.
Data Mining Clustering and Correlation Analysis of Marine Potential Insights from Capture Fisheries Coral Reef Quantity and Plankton Abundance Cindy Muhdiantini; Mega Fitri Yani; Ilham Auliya Rahman; Ati Maryati
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14711890

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.
Risk Management in Financial Technology: A Systematic Literature Reviewto Support Sustainability and Security of Digital Financial Services Mega Fitri Yani; Cindy Muhdiantini; Syifa Nur Aini
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 2 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14715318

Abstract

The rapid growth of the financial technology (FinTech) sector has revolutionized financial services by enhancing convenience, speed, and efficiency. However, this expansion also introduces significant risks, necessitating robust information technology (IT) risk management strategies. This study systematically reviews the existing literature on FinTech risk management, focusing on frameworks, algorithms, policies, and technical aspects that influence risk management practices. By integrating advanced algorithms such as Artificial Intelligence and Deep Forest with established frameworks like ISO 31000:2018 and NIST, the research provides a comprehensive perspective on managing risks in FinTech, bridging gaps not extensively covered in previous studies. A systematic literature review methodology identified and analyzed 17 key studies from an initial pool of 134 documents sourced from databases such as Scopus and Google Scholar. Findings highlight the critical role of advanced technologies and established frameworks in mitigating risks and underscore the need for continuous adaptation to evolving challenges. This research offers valuable insights for financial institutions and policymakers, promoting sustainable and secure digital financial services.
Trends and Innovations in CRM for Patient Management: A Literature Review Cindy Muhdiantini; Mega Fitri Yani; 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.
A Bibliometric Analysis of Research Trends in AI Integration within Cloud Computing Mega Fitri Yani; Istifa Shania Putri; Cindy Muhdiantini; Farid Munadhil
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.
Co-Authors Ananda Risya Triani Ati Maryati Farid Munadhil Ibnu Zulkarnain Ilham Auliya Rahman Istifa Shania Putri Mega Fitri Yani Muhammad Dwi Hary Sandy Rd. Rohmat Saedudin Richard Tryas Sembiring Siti Hajar Komariah Sugih Ahmad Fauzan Syifa Nur Aini