Computer Science, Information Systems, Computer Science Applications, Multidisciplinary
152
Scopus Publications
2059
Scholar Citations
21
Scholar h-index
60
Scholar i10-index
Scopus Publications
Prototypes of intelligent robots for first aid in natural disasters: A bibliometric analysis Johan Setiawan, Erick Fernando, Fransiskus Ati Halim, Tsabitah Ramadhani Mashur, Alessandra Valentina Multidisciplinary Reviews, 2026 The increasing frequency and complexity of natural disasters have intensified global demand for intelligent robotic systems that can support first aid and emergency response. This study presents a systematic literature review (SLR) and bibliometric analysis of research on smart robots applied to disaster scenarios. Using the Scopus database, 153 records were initially retrieved with the keywords “disaster” and “smart robot.” After applying PRISMA-based screening and inclusion criteria, 54 peer-reviewed publications were analyzed using the Bibliometrix R package. The analysis identifies key trends in robotic technologies, artificial intelligence algorithms, and design innovations for disaster response. Results highlight the growing research emphasis on unmanned aerial vehicles (UAVs), ground and snake robots, and the integration of sensors, IoT, and machine learning for real-time victim detection and navigation. Despite notable technological progress, critical challenges persist in field deployment, robot coordination, and human–robot interaction in crisis settings. This study contributes to the disaster robotics field by synthesizing existing knowledge, identifying underexplored areas, and proposing research directions to enhance the operational effectiveness of robotic systems in future emergencies.
Investigation blockchain technology in the public health sector: A bibliometric analysis Erick Fernando, Winanti Winanti, Yulius Denny Prabowo, David Tjahjana, Monika Evelin Johan Multidisciplinary Reviews, 2026 Scientific research has been recognized as playing a critical role in achieving Blockchain technology in the healthcare sector. In turn, since its adoption, the 2030 Agenda has reinvigorated academic production on sustainable development. This study provides a systematic literature review of the most widely used and newly developed approaches by academic research to support the achievement of Blockchain technology in the public healthcare sector. By improving data security, encouraging system interoperability, maximizing process efficiency, and simplifying medical record administration, blockchain technology presents new answers for developments in the public healthcare sector. The main issues raised are about the complex character and vulnerability of the current healthcare system, which suffers from data inconsistencies, security breaches, and poor administrative practices. This systematic literature review, following the PRISMA methodology, analyzes articles from databases Scopus using bibliometric tools in RStudio. The bibliometric analysis reveals intra-cluster relationships of research, highlighting the need for more transdisciplinary research. The results demonstrate that blockchain has the capability to securely merge data from several systems, guaranteeing smooth information transmission and strong security measures. The findings demonstrate notable enhancements in administrative efficacy, decreased inaccuracies, and heightened transparency in healthcare operations, showcasing the capacity of blockchain technology to facilitate big advancements in public healthcare. Future research is required to effectively capitalize on these advantages and guarantee that blockchain technology continues to advance and enhance the quality of healthcare.
Real-time Fall Detection Prototyping with YOLOv11 Using an Integrated Multi-dataset Framework International Journal of Intelligent Engineering and Systems, 2026 Falls are a major public health issue among the elderly due to their serious health, psychological, and economic effects.This study proposes and implements a human fall detection system using the latest YOLOv11 architecture.Five public datasets were combined into an All-In-One (AIO) dataset to enhance visual diversity and model generalization.Data preprocessing involved normalization, re-annotation, and label harmonization into two classes: fall and no-fall.Experimental results show that YOLOv11n, with a learning rate of 0.001, achieved optimal performance (mAP@0.5 = 0.98, recall = 0.95, F1-score = 0.95) while maintaining an inference latency of 3.6 ms, enabling real-time detection.These results outperform YOLOv7 and YOLOv8, confirming the reliability of YOLOv11 in human fall detection.The trained model was deployed in a real-time desktop prototype integrated with a Telegram Bot for instant alerts, demonstrating practical potential in healthcare and eldercare applications.The study's novelty lies in introducing a large and diverse AIO dataset, as well as a lightweight real-time prototype for fall detection.
A Validated Blockchain Model and Architecture for Public Health System for Data Security Erick Fernando, Yulius Denny Prabowo, Winanti Winanti, David Tjahjana, Monika Evelin Johan Jurnal Resti, 2025 Blockchain has been identified as a technology that can be used in healthcare systems, especially in terms of data security, privacy, and interoperability. This article explores the application of blockchain in various medical processes ranging from patient registration, visit registration, initial examination, patient examination, diagnostic input, and drug preparation. This study was conducted at a healthcare facility that utilizes blockchain as a technology to manage patient data, medical records, and drug prescriptions. This study uses a combined approach between literature studies and qualitative methods using the Focus Group Discussion (FGD) technique for evaluates the impact of model blockchain. Model validation with domain experts in the health sector (doctors, nurses, administrators, IT experts, and pharmacists). The results research is a validated Model blockchain public health sector improves the security and privacy of patient data but also accelerates operational processes in the healthcare chain. This study concludes that blockchain can be a transformational solution for addressing major problems in the healthcare sector, although cross-sector collaboration is needed to ensure successful implementation.
Combined Acoustic Features with CNN-BiLSTM-Transformer for Female Emotion Recognition Dede Kurniadi, Erick Fernando, Syahrul Al Zayyan, Asri Mulyani Ingenierie Des Systemes D Information, 2025 Speech Emotion Recognition (SER) is essential for enhancing human-computer interaction by enabling machines to understand user emotional states.However, SER still faces challenges, such as the complexity of audio signals, individual differences, and limited focus on female voices, which often exhibit higher pitch and subtler emotional cues.This study introduces a hybrid model combining Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (BiLSTM), and Transformer to classify emotions in female speech.The model is trained using the RAVDESS, CREMA-D, and TESS datasets, with stepwise acoustic features: MFCC, ZCR, LPC, RMSE, and ZCPA.Data augmentation techniques are applied to address class imbalance and improve generalization, including the addition of additive noise and pitch shifting to simulate natural variations in female vocal pitch.Additionally, SMOTE is employed to generate synthetic samples for minority classes.Performance is evaluated using 5-fold cross-validation.Results show that the best performance is achieved using the MFCC + ZCR combination, with 88.52% accuracy, 88.80% precision, 88.52% recall, 88.53% F1-score, and 98.95% AUC-ROC.This research advances SER by developing a robust, context-aware model tailored to female vocal traits.
Improving Low-Light Face Recognition using DeepFace Embedding and Multi-Layer Perceptron Dede Kurniadi, Erick Fernando, Asyifa Fauziyah, Asri Mulyani Jurnal Resti, 2025 Facial recognition systems often struggle under extreme lighting conditions, which distort facial features and reduce recognition accuracy. This study introduces a novel integration of DeepFace embeddings with a lightweight Multi-Layer Perceptron (MLP) classifier tailored to improve facial recognition under extreme lighting conditions. This combination has not been explored in previous studies and offers a compact alternative to conventional CNN-based methods. The Labeled Faces in the Wild (LFW) dataset was augmented using rotation, flipping, and lighting variations, and further enhanced with CLAHE for improved contrast under poor illumination. The resulting 128-dimensional DeepFace embeddings were classified using a four-layer MLP with LeakyReLU activation, Batch Normalization, and Dropout. The model was evaluated across three data-splitting schemes (70:30, 80:20, and 90:10), with the 80:20 configuration achieving the highest accuracy of 95.16%. Compared to the baseline CNN, the proposed method demonstrated superior robustness to illumination variations. This makes the proposed model suitable for real-time applications such as biometric authentication and AI-based surveillance systems.
Business Analytic with Data Warehouse Design in Retail Company Sales Shanreva Oktavia Andi, Erick Fernando International Conference on New Media Studies Conmedia, 2025 Business analytics (BA) plays a vital role in maximizing the value of data warehouses by transforming vast amounts of structured data into actionable insights for decision-making. In a data warehouse environment, BA tools and techniques, such as statistical analysis, predictive modeling, and machine learning, are applied to uncover patterns and trends that can drive business strategy and operational improvements. BA is particularly effective when combined with OLAP (Online Analytical Processing) in a data warehouse, as OLAP enables data to be analyzed across multiple dimensions, such as time, location, and product categories. This multidimensional view allows for deep dives into data to gain specific insights—such as identifying high-performing products in specific regions or tracking sales trends over time. With BA, this data can be further analyzed to reveal customer behavior, forecast future sales, and develop targeted marketing campaigns, enhancing overall business intelligence.In this study, BA is applied to the OLAP-enabled data warehouse, facilitating three main types of analysis: overall sales trends, sales performance by region, and sales by brand. The resulting dashboards provide a comprehensive yet flexible view of business performance, empowering managers to drill down into specific areas for targeted insights or maintain a broader view for strategic planning.Ultimately, BA in a data warehouse context allows organizations to align data insights with business goals, supporting more accurate, data-driven decision-making. By leveraging these insights, companies can improve efficiency, optimize resources, and enhance competitiveness in the market.
Exploring the Artificial Intelligence Era in Influencing Self-Paced Learning: Systematic and Bibliometric Review of Literature Erick Fernando, Rosilah Hassan, Dina Fitria Murad, Zeyad Ghaleb Al-Mekhlafi Educational Process International Journal, 2025 Background/purpose. Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning models. The purpose of this study is to identify key factors that influence the success of AI-based self-paced learning and contribute to the development of more adaptive technology-based education policies. Materials/methods. This study uses a Systematic Literature Review (SLR) approach with the PRISMA method. SLR to collect and analyze related literature from various academic databases. Results. The results of the study indicate that factors such as technology and infrastructure that support flexible learning, AI's ability to detect and overcome learning challenges, and personalization of learning that suits students' needs, play a significant role in increasing learning effectiveness. Conclusion. Ai in self-paced learning the use of chatbots, language support, and assessment automation were also found to contribute significantly to creating a more focused and efficient learning experience.
Comparison of Classification Algorithms in Bamboo Distribution Mapping for Identification of Industrial Supporting Raw Materials Ionia Veritawati, Febri Maspiyanti, Riadika Mastra, Erick Fernando, Amir Murtako International Journal on Informatics Visualization, 2025 This study aims to address the challenges in the widespread supply of bamboo raw materials and the lack of coordination between bamboo-producing regions, as well as to conduct a comprehensive inventory and mapping of bamboo resources. In addition, this study also explores the factors that influence the distribution and growth characteristics of bamboo, such as soil type, altitude, and rainfall. The main problems faced in the bamboo industry are the uneven distribution of raw materials and the lack of coordination between regions, which hinder the development of a strong and sustainable bamboo industry value chain. The lack of in-depth information on the ecological factors that influence bamboo growth also exacerbates this situation. The method used in this study involves mapping bamboo potential through aerial photography data collection, which is then analyzed using machine learning technology. The three algorithms used in the classification process are K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest. The study was conducted in an area rich in bamboo vegetation, especially Bojongmangu District in Bekasi, West Java, Indonesia. From the analysis results, the SVM algorithm showed the best performance with a classification accuracy ranging from 80% to 90%. These results indicate that this method is very effective in mapping bamboo vegetation areas with high precision. This study also identified other variables, such as soil type and altitude, that play a role in bamboo distribution. With this more holistic approach, the study is expected to provide deeper insights into bamboo ecology and improve sustainable bamboo resource management.
Public Awareness and Adoption of 5G in Smart Education Dina Fitria Murad, Rosilah Hassan, Taj Alden Naseer, Julanar Qasim, Akram Taha Zeyad, Arba’iah Inn, Bambang Dwi Wijanarko, Erick Fernando 2025 International Conference on Data Science and Its Applications Icodsa 2025, 2025
TikTok-Social Media Marketing Practices and Digital Branding Ade Josephin Sabrina, Yudi Fernando, Fineke Mergeresa, Ridho Bramulya Ikhsan, Ika Sari Wahyuni-TD, Erick Fernando 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2024, 2024
Features, Conformance and Perceived Product Quality: A Social Security Mobile Apps Mhd Jaka Prima Dona, Yudi Fernando, Ridho Bramulya Ikhsan, Ika Sari Wahyuni-TD, Erick Fernando, Hartiwi Prabowo 2023 IEEE International Conference of Computer Science and Information Technology the Role of Artificial Intelligence Technology in Human and Computer Interactions in the Industrial Era 5 0 Icosnikom 2023, 2023
Mobile Application Design for Ornamental Fish Virtual Contest with User Center Design Approach Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia 11480, Erick Fernando Meyliana, Henry Antonius Eka Widjaja, Stephen Wahyudi Santoso, Surjandy, A. Raharto Condrobimo International Journal of Emerging Technology and Advanced Engineering, 2022
The Rapid Adoption of E-wallet: An empirical study Ridho Bramulya Ikhsan, Cyntia Lupita Sari, Erick Fernando, Lianna Wijaya, Stephanie Bangapadang, Ivan Sangkereng 2022 10th International Conference on Cyber and IT Service Management Citsm 2022, 2022
Blockchain technology for vehicle maintenance registration Meyliana, Surjandy, Erick Fernando, Henry Antonius Eka Widjaja, Cadelina Cassandra, Arifa Tan, Miranda Carolina, Michele Carolina Proceedings of 2021 International Conference on Information Management and Technology Icimtech 2021, 2021
Long Short Term Memory Networks for Stroke Activity Recognition base on Smartphone Pandapotan Siagian, Erick Fernando Proceedings 2021 IEEE 5th International Conference on Information Technology Information Systems and Electrical Engineering Applying Data Science and Artificial Intelligence Technologies for Global Challenges During Pandemic Era Icitisee 2021, 2021
Record the transcript of student activity in higher education based on blockchain technology 14th International Conference on ICT Society and Human Beings ICT 2021 18th International Conference on Web Based Communities and Social Media Wbc 2021 and 13th International Conference on E Health Eh 2021 Held at the 15th Multi Conference on Computer Science and Information Systems Mccsis 2021, 2021
Investigate Use FinTech Services on Online Transportation using TAM Model Erick Fernando, Meiyarni, Ridho Bramulya Ikhsan, Hans Daniel, Stievan Kurniadi Halim, Roni Heryatno, Rosalin Ayal, Desman Hidayat, Apriani Kurnia Suci, Meutia Sistarani Proceedings 2021 IEEE 5th International Conference on Information Technology Information Systems and Electrical Engineering Applying Data Science and Artificial Intelligence Technologies for Global Challenges During Pandemic Era Icitisee 2021, 2021
A blockchain technology-based for university teaching and learning processes Meyliana, Cadelina Cassandra, Surjandy, Henry Antonius Eka Widjaja, Harjanto Prabowo, Erick Fernando, Yakob Utama Chandra Proceedings of 2020 International Conference on Information Management and Technology Icimtech 2020, 2020
Analysis of Reliance Factors in the Text, Images and Videos on Social Media Surjandy, Erick Fernando, Meyliana, Ferrianto Surya Wijaya, Theresia Swasti, Kristianus Oktriono Icicos 2019 3rd International Conference on Informatics and Computational Sciences Accelerating Informatics and Computational Research for Smarter Society in the Era of Industry 4 0 Proceedings, 2019
Defying the certification diploma forgery with blockchain platform: A proposed model Meyliana Meyliana, Yakob Utama Chandra, Cadelina Cassandra, Surjandy Surjandy, Henry Antonius Eka Widjaja, Erick Fernando, Harjanto Prabowo, Charles Joseph Multi Conference on Computer Science and Information Systems Mccsis 2019 Proceedings of the International Conferences on ICT Society and Human Beings 2019 Connected Smart Cities 2019 and Web Based Communities and Social Media 2019, 2019
Evaluate Implementation of Enterprise Resource Planning (ERP) System Siti Maryam, Dina Fitria Murad, Erick Fernando, Meta Amalya Dewi, Imanuel Revelino Murmanto, Sunardi Proceedings of 2018 International Conference on Information Management and Technology Icimtech 2018, 2018
Success Factors of the Blockchain Adoption for Smart Manufacture Surjandy, Erick Fernando, Meyliana, Raymond Kosala, Harco Leslie Hendric Spits Warnars, Edi Abdurachman, Suhono Harso Supangkat 2018 International Seminar on Research of Information Technology and Intelligent Systems Isriti 2018, 2018
Stakeholder Act as an IT and General Compliance Auditor Surjandy, Erick Fernando, Meyliana, Raymond Kosala, Suhono Harso Supangkat, Diani Dwiningrum, Merry Marshela, Angelica, Renita Amalia 3rd International Conference on Sustainable Information Engineering and Technology Siet 2018 Proceedings, 2018
Impact of Service-Oriented Architecture adoption in information system Erick Fernando, Derist Touriano, Rico Icitacee 2015 2nd International Conference on Information Technology Computer and Electrical Engineering Green Technology Strengthening in Information Technology Electrical and Computer Engineering Implementation Proceedings, 2016
Monitoring dan Evaluasi Pemanfaatan Web Aplikasi Pembelajaran Terintegrasi Artificial Intelligence Untuk Meningkatkan Motivasi dan Keterlibatan Siswa Y Prihastomo, W Winanti, Y Prabowo, A Sidik, P Hendriyati, M Luthfian, ... Jurnal Abdimas Universitas Insan Pembangunan Indonesia 4 (1), 62-68 , 2026 2026
AI-Chatbot Adoption and Continuance Intention in the Banking Sector: An Empirical Study RB Ikhsan, E Fernando, YV Prasarry, A Fakhrorazi, Y Fernando 2025 1st International Conference on Emerging Innovation and Digital … , 2025 2025
Internet of Things, Blockchain, and Artificial Intelligence for Green Governance–A Proposed Model S Surjandy, E Fernando Jurnal Teknologi Informasi dan Pendidikan 18 (2), 1086-1096 , 2025 2025
Interactive 360° Virtual Tour for Dark Tourism Promotion: A Digital Heritage Case Study of Makam Syekh Mubarok ZB Drew, J Setiawan, E Fernando, A Faza, MI Fianty, W Winanti, ... 2025 8th International Conference on New Media Studies (CONMEDIA), 198-203 , 2025 2025
Business Analytic with Data Warehouse Design in Retail Company Sales SO Andi, E Fernando 2025 8th International Conference on New Media Studies (CONMEDIA), 72-77 , 2025 2025
Exploring the Influence of Seller Reputation on Electronic Word of Mouth (e-WOM): Emphasis on Consumer Trust and Satisfaction on E-Commerce Platforms RB Ikhsan, N Sari, E Fernando, J Simarmata Journal of Consumer Sciences 10 (2), 276-298 , 2025 2025 Citations: 1
Artificial Intelligence in Malaysian Education: An Evaluation of Opportunities and Pathways DF Murad, R Hassan, TA Naseer, A Inn, BD Wijanarko, E Fernando 2025 International Conference on Data Science and Its Applications (ICoDSA … , 2025 2025 Citations: 1
Public Awareness and Adoption of 5G in Smart Education DF Murad, R Hassan, TA Naseer, J Qasim, AT Zeyad, A Inn, ... 2025 International Conference on Data Science and Its Applications (ICoDSA … , 2025 2025 Citations: 3
Expose Pengembangan Desa Wisata Religi Di Desa Pete Kecamatan Tigaraksa Tangerang E Fernando, W Winanti, R Riyanto, DF Murad, A Faza, MI Fianty, ... Dharma Sevanam: Jurnal Pengabdian Masyarakat 4 (1), 21-30 , 2025 2025 Citations: 2
Edukasi Bisnis Online melalui Media Smartphone bagi Pelaku Usaha di Desa Pete Kabupaten Tangerang W Winanti, RN Sudiyono, T Oktarina, MD Rizfie, R Hartati, S Maesaroh, ... Dharma Sevanam: Jurnal Pengabdian Masyarakat 4 (1), 11-20 , 2025 2025 Citations: 1
Foundations for AI Driven Communication Models Qualitative Analysis of Indonesian Language Adaptation E-Commerce PA Sunarya, DA Prabowo, M Angel, N Fitriawati, E Fernando, ... International Transactions on Artificial Intelligence 3 (2), 140-149 , 2025 2025 Citations: 1
Focus Group Discussion Validasi Aplikasi Pelayanan Kesehatan Publik Berbasis Teknologi Blockchain bagi Klinik di Kota Depok E Fernando, W Winanti, YD Prabowo, D Tjahjana, ME Johan Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming 8 (2), 348-355 , 2025 2025 Citations: 4
Exploring the Artificial Intelligence Era in Influencing Self-Paced Learning: Systematic and Bibliometric Review of Literature. E Fernando, R Hassan, DF Murad, ZG Al-Mekhlafi Educational Process: International Journal 18, e2025429 , 2025 2025 Citations: 13
Exploring Integration AI-Powered in Supply Chain Management E Fernando, RB Ikhsan 2024 International Conference on Decision Aid Sciences and Applications … , 2024 2024 Citations: 2
The Impact of Social Media in Marketing on Brand Awareness and Customer Trust in Increasing Purchase Intention E Fernando, YD Prabowo 2024 International Conference on Information Technology Research and … , 2024 2024 Citations: 10
Sosialiasasi dan Edukasi Gemar Menanam di Tiga Lokasi PKM untuk Mendukung Program “GERCEP” Kabupaten Tangerang IK Himmy'azz, DFC Kumoro, FS Goestjahjanti, K Kamar, S Hasna, ... Jurnal Abdimas Universitas Insan Pembangunan Indonesia 2 (2), 1-5 , 2024 2024 Citations: 6
SISTEM PENDUKUNG KEPUTUSAN PROMOSI KENAIKAN JABATAN MENGGUNAKAN METODE ANALYTICAL HIERARCY PROCESS E Fernando, N Nurasiah, S Basuki, R Riyanto Rabit: Jurnal Teknologi dan Sistem Informasi Univrab 9 (2), 351-360 , 2024 2024
Sosialisasi Transformasi Digital bagi UMKM sebagai Bagian Penguatan Fondasi Ekonomi Masyarakat Kabupaten Tangerang S Basuki, W Winanti, N Supiana, R Riyanto, S Sukriyah, M Fayzhall, ... Dharma Sevanam: Jurnal Pengabdian Masyarakat 3 (1), 41-50 , 2024 2024 Citations: 9
Sosialisasi Pemanfaatan Lahan Kosong Untuk Tanaman Cepat Panen Guna Mendukung Ketahanan Pangan Masyarakat Taman Raya Rajeg Tangerang R Riyanto, S Basuki, W Winanti, N Nurasiah, IK Himmy’azz, G Chidir, ... Dharma Sevanam: Jurnal Pengabdian Masyarakat 3 (1), 51-60 , 2024 2024 Citations: 1
The Current Trend of Culinary Learning from Basically and Self-taught with social media E Fernando, N Nurasiah, S Basuki, S Hasna, R Riyanto Journal Of Applied Research In Computer Science And Information Systems 2 (1 … , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
The influence of perceived risk and trust in adoption of fintech services in Indonesia M Meyliana, E Fernando CommIT (Communication and Information Technology) Journal 13 (1), 31-37 , 2019 2019 Citations: 186
Perancangan Aplikasi Sistem Informasi Geografis (Sig) Lokasi Minimarket Di Kota Jambi Berbasis Android DA Rianto, S Assegaf, E Fernando Jurnal Ilmiah Media SISFO 9 (2), 295-304 , 2015 2015 Citations: 73
Exploring customer relationship management: Trends, challenges, and innovations E Fernando, R Sutomo, YD Prabowo, J Gatc, W Winanti Journal of Information Systems and Informatics 5 (3), 984-1001 , 2023 2023 Citations: 71
The power of online reviews: Exploring information asymmetry and its impact on green product purchasing behavior RB Ikhsan, Y Fernando, A Gui, E Fernando International Journal of Consumer Studies 48 (3), e13050 , 2024 2024 Citations: 62
Development and validation of instruments adoption FinTech services in Indonesia (Perspective of trust and risk) E Fernando, D Touriano 2018 International conference on sustainable information engineering and … , 2018 2018 Citations: 60
Success factor of implementation blockchain technology in pharmaceutical industry: a literature review E Fernando 2019 6th international conference on information technology, computer and … , 2019 2019 Citations: 56
Development conceptual model and validation instrument for E-Learning succes model at universities in Indonesia: perspectives influence of instructor's activities and motivation E Fernando, DF Murad, HLHS Warnars, K Oktriono 2019 international congress on applied information technology (AIT), 1-6 , 2019 2019 Citations: 52
AUTOMATISASI SMART HOME DENGAN RASPBERRY PI DAN SMARTPHONE ANDROID E Fernando Konferensi Nasional Ilmu Komputer , 2014 2014 Citations: 52
Performance comparison of symmetries encryption algorithm AES and DES with raspberry pi E Fernando, D Agustin, M Irsan, DF Murad, H Rohayani, D Sujana 2019 International Conference on Sustainable Information Engineering and … , 2019 2019 Citations: 44
Learning support system using chatbot in" Kejar C Package" homeschooling program DF Murad, M Irsan, PM Akhirianto, E Fernando, SA Murad, MH Wijaya 2019 international conference on information and communications technology … , 2019 2019 Citations: 43
Proposal to use the analytic hierarchy process method evaluate bank credit submissions E Fernando, P Siagian Procedia Computer Science 179, 232-241 , 2021 2021 Citations: 37
Improving the quality of learning management system (LMS) based on student perspectives using UTAUT2 and trust model HAE Widjaja, SW Santoso, E Fernando, AR Condrobimo 2020 4th international conference on informatics and computational sciences … , 2020 2020 Citations: 31
Implementation of COBIT 5 framework for academic information system audit perspective: evaluate, direct, and monitor DF Murad, E Fernando, M Irsan, RR Kosala, B Ranti, SH Supangkat 2018 International Conference on Applied Information Technology and … , 2018 2018 Citations: 30
Factors influence the success of e-learning systems for distance learning at the University E Fernando 2020 international conference on information management and technology … , 2020 2020 Citations: 28
Effect of education, performance, position and information technology competency of information systems to performance of information system N Komalasari, DF Murad, D Agustine, M Irsan, J Budiman, E Fernando 2018 International Seminar on Research of Information Technology and … , 2018 2018 Citations: 28
Analysis of the influence of consumer behavior using FinTech services with SEM and TOPSIS E Fernando 2019 International conference on information management and technology … , 2019 2019 Citations: 25
Sistem Informasi Geografis untuk Pemetaan Tempat Kesehatan Dikota Jambi E Fernando Seminar Nasional Ilmu Komputer , 2012 2012 Citations: 25
Towards smart LMS to improve learning outcomes students using LenoBot with natural language processing DF Murad, AG Iskandar, E Fernando, TS Octavia, DE Maured 2019 6th International Conference on Information Technology, Computer and … , 2019 2019 Citations: 24
Impact of extrinsic and intrinsic motivation on knowledge sharing in virtual communities of practices S Assegaff, EF Kurniabudi, E Fernando Indonesian Journal of Electrical Engineering and Computer Science 1 (3), 619-626 , 2016 2016 Citations: 23
Desain Sistem Pengenalan Varietas Bibit Tanaman Kelapa Sawit Dengan Pendekatan Design Science Research Methodology (Dsrm) Design System of Palm Oil Plant Variety Recognition … E Fernando, M Surjandy, P Siagian Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK) 7 (2), 249-258 , 2020 2020 Citations: 22
