INTERNET OF THINGS BASED SURVEYOR FALSIFICATION MONITORING SYSTEM

• Main Author: Ari Faeni, You
• Format: Theses
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/46437
• Institution: Institut Teknologi Bandung

Survey is a method of gathering information / data from a group representing the population taken based on the methodology. The quality of the data generated by the survey is strongly influenced by the large amount of non-sampling errors that often occur due to bad human behavior / moral hazard. To overcome this, supervision of survey officers is needed. However, the current supervision is still not effective because there is no basic evidence in determining which survey officers should be monitored. To overcome this, a model for determining the supervision of the data collection process in the survey is needed. This study uses the DRM methodology to solve the problems mentioned above. This research created monitoring system of falsification by a surveyor consisting of a GPS data collection system using a smartphone and analyzing the location and time sampling to obtain an enumeration validation model that can be used as a basis for monitoring. This research creates and evaluates a stop point determination model based on two methods used to collect GPS data. Engineering, simulation, and evaluation of business processes are carried out to change the business processes that were originally manual to be based on information technology. Evaluations show that to-be business processes are more effective than the original business processes. This is indicated by the value of Cycle time efficiency respectively 36% and 29% in the business process updating and complete data collection. Multivariate t-test results also show that the GPS data from the model is the same as the actual GPS data. This shows that GPS data can be used as a basis for determining supervision.