SANTOSO, CALVIN ABEL (2021) IOT-BASED ORGANIC AND INORGANIC TRASH BIN USING FUZZY LOGIC. Other thesis, Universitas Katholik Soegijapranata Semarang.
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Abstract
There is still a lack of public awareness and concern for environmental cleanliness, the problem of waste is still a serious problem for the government. The lack of knowledge about waste management information technology by janitors causes the slow handling of waste. Information on the condition of the volume of the bins can help prevent waste buildup and disease transmission. Therefore, ordering an early detection tool about the condition of the volume of the trash can can send information that the trash can is full to be placed quickly. Using the Ldr sensor to read the type of trash is see-through or not and the IR sensor to determine the object that is coming. Garbage that is read as transparent will be considered as organic waste and if the waste is read see-through then the waste will be read as inorganic. The data that will be obtained is then sent by the ESP8266 NodeMCU module as a liaison between sensors This project proposed to create a smart trash bin that can separate organic and inorganic waste. This research uses plastic waste and dried leaves waste for analysis and uses data stored from Thingspeak to be processed using fuzzy to find out when the garbage is full and will be picked up within a day. Result of this project creates a website to monitor the capacity of the trash that facilitates the cleaning process.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 14 Oct 2021 06:09 |
| Last Modified: | 14 Oct 2021 06:09 |
| URI: | http://repository.unika.ac.id/id/eprint/27117 |
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