Selected Papers

The following papers have been selected for possible publication in a Scopus indexed Journal after being extended and improved further.

Paper ID Author Title
10 Rahmadya Trias Handayanto, Nitin Kumar Tripathi, Sohee Minsun Kim and Herlawati Land Use Growth Simulation and Optimization in the Urban Area
12 Yudi Ramdhani and Dwiza Riana Hierarchical Decision Approach Based on Neural Network and Genetic Algorithm Method for Single Image Classification of Pap Smear
38 Dennis Aprilla Christie, Tubagus Maulana Kusuma and Purnawarman Musa Chess Piece Movement Detection and Tracking, A Vision System Framework for Autonomous Chess Robot
42 Ridwan Andi Kambau and Zainal Arifin Hasibuan Concept-based Multimedia Information Retrieval System using Ontology Search in Cultural Heritage
44 Dea Chintia Putri, Dennis Aprilla Christie and Purnawarman Musa Robust Ball Color Auto-Calibration for Tracking
54 Amelia Sahira Rahma, Eva Firdayanti Bisono, Agus Zainal Arifin, Dini Adni Navastara and Rarasmaya Indraswari Generating Automatic Marker Based on Combined Directional Images from Frequency Domain for Dental Panoramic Radiograph Segmentation
61 Annisa Monicha Sari, Nizar Hidayanto, Prahastiwi Utari, Solikin and Betty Purwandari Analysis of Internal and External Factors Influencing User’s Knowledge Sharing Behavior on TMC Polda Metro Jaya’s Twitter Using Theory of Planned Behavior
77 Suryono and Ainie Khuriatie Wireless Sensor System for Photovoltaic Panel Efficiency Monitoring Using WIFI Network
98 Heru Supriyono and Ahmad Nurhadi Designing A Wheeled Robot Model for Flammable Gas Leakage Tracking
146 Ichwanul Muslim Karo Karo, Arief Fatchul Huda and Kiki Maulana Adhinugraha A Cluster Validity for Spatial Clustering Based on Davies Bouldin Index and Polygon Dissimilarity Function
150 Rina Refianti, Achmad Benny Mutiara, Adang Suhendra and Asep Juarna Modified Adaptive Affinity Propagation with Similarity Distribution Based Preference
171 Mohammed Mobark, Suriayati Chuprat and Teddy Mantoro Improving the Accuracy of Complex Activities Recognition Using Accelerometer-Embedded Mobile Phone Classifiers