TRASHTRACKR: TEMPAT SAMPAH BERBASIS RADIO FREQUENCY IDENTIFICATION PENDETEKSI JUMLAH SAMPAH PLASTIK SKALA RUMAH TANGGA TERINTEGRASI APPTRACKR

Abstract

One of the most significant global concerned from the types of household waste is plastic waste. Plastic waste that has not been managed optimally can cause several problems, such as environmental pollution, triggering the spread of disease, causing flooding, and endangering the lives of living creatures in the ecosystem. This condition can become a serious problem due to the increasing production and consumption of plastic which continues to increase globally. This research aims to determine the steps for designing, implementing the use, and effectiveness of TrashTrackr and AppTrackr in detecting the amount of plastic waste. The research applied uses the ADDIE model, including analysis, design, development, implementation, and evaluation. The data obtained in the research were analyzed descriptively, quantitatively, and qualitatively. The required data was collected using media trials directly with the subjects involved, such as the community and boarding house children with trash cans and using plastic daily. The results of this study showed that the Sig. < 0.05 so that 19 aspects of the questionnaire were declared valid and the average assessment result of the subjects involved was to get a value of 4.05 with Very Good qualifications, which indicates that the subjects have a positive view of TrashTrackr and AppTrackr. The conclusion from this research is that TrashTrackr and AppTrackr are effective for use as Radio Frequency Identification-based trash cans which can detect the amount of plastic waste integrated with an application that makes it easy to monitor the amount of plastic remotely, turn off the trash cans power, and call cleaning staff to transport the trash.