SEMNASTIK APTIKOM 2023
Semnastik-APTIKOM 2023 is a national seminar regularly held to share knowledge and results in computer science and information science research. The seminar also provides a platform for researchers and practitioners from academia and industry to meet the latest developments in the field. The upcoming SEMNASTIK – APTIKOM performance will be held by APTIKOM on December 8, 2023, in a hybrid manner, with the theme "Strengthening Education and Research in the Field of Artificial Intelligence to Increase the Nation's Competitiveness."
This National Seminar is intended as a form of dissemination or dissemination of research results to share experiences and innovative ideas in Computer Science and Information Science. This seminar is a scientific forum to facilitate efforts to build an academic and research culture in disseminating research results and to provide opportunities for researchers from various circles, industries, and governments to pioneer mutually beneficial collaborations.
This year's seminar will be held in a HYBRID manner, and prospective authors are invited to submit original research papers that other conferences or journals have not published. The submitted papers will be peer-reviewed, and all accepted papers presented at SEMNASTIK – APTIKOM 2023 will be published in the proceedings. Several selected papers that meet good writing quality will be recommended in nationally reputable journals.
A series of interesting events and mentoring for novice writers will also be held to welcome Semnastik-APTIKOM 2023. See you at VIRTUAL!
Register your paper via the guide at the following link:
Publication Year: 2023
User Experience Analysis on Bakamla Messenger Applications Using User Experiences Questionnaire (UEQ)
Agile Method in Developing Electronic Local Government Food Reserve Distribution Services (E-CPPD) in Sukabumi City
A Survey of Blockchain in Governance: Framework Selection and Future Implementation in Indonesian Government
Comparative SVM and Decision Tree Algorithm in Identifying the Eligibility of KIP Scholarship Awardee
Classification of Coffee Leaf Diseases using the Convolutional Neural Network (CNN) EfficientNet Model
Application of Agile Development Methods in the Development of Integrated Systems for Vehicle Body Repair
Redesigning the User Interface in the Mobile-Based Ngaji.AI Application Using the Design Thinking Method
Risk Management for New Student Admission Information Systems at Higher Education using the Octave Allegro Approach
Predictions using Support Vector Machine with Particle Swarm Optimization in Candidates Recipient of Program Keluarga Harapan
Analysis of Information Security Culture at FMIPA Halu Oleo University Using Partial Least Squares-Structural Equation Modeling Method
Comparative Analysis of the Performance of the Decision Tree and K-Nearest Neighbors Methods in Classifying Coffee Leaf Diseases
Integration of Transformer Model Text Summarization and Text-to-Speech in Helping Document Understanding in the Bukudio Application