IOT-BASED SMART CLOTHING DRYING TOOL WITH FUZZY METHOD

SOSROHADIKOESOEMO, FRANCISKUS KEVIN (2022) IOT-BASED SMART CLOTHING DRYING TOOL WITH FUZZY METHOD. Other thesis, Universitas Katholik Soegijapranata Semarang.

[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-COVER_a.pdf

Download (469kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-BAB I_a.pdf

Download (116kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-BAB II_a.pdf
Restricted to Registered users only

Download (124kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-BAB III_a.pdf

Download (146kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-BAB IV_a.pdf

Download (184kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-BAB V_a.pdf

Download (363kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-BAB VI_a.pdf

Download (112kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-DAPUS_a.pdf

Download (190kB)
[img] Text
17.K1.0019-FRANCISKUS KEVIN SOSROHADIKOESOEMO-LAMP_a.pdf

Download (191kB)

Abstract

The development of this technology is very promising or useful for today's life which we often call digital technology. What is meant by a tool that no longer uses human labor manually, but a system that works automatically with a computer system. Manual human labor is housewives drying clothes in the hot sun. With this they are happy because the clothes dry quickly. But in this changing weather, they are very worried because the clothes don't dry quickly and are exposed to rain. the author makes a tool to hang clothes automatically with a computer system without fear of rain. In this final project, the author proposes a solution to the above problems through the application of fuzzy logic algorithms by utilizing a temperature sensor (DHT11), rain sensor (raindrop), light sensor (LDR module) and weight sensor (HX711) which are used to detect rain and also do not forget use servo for the roof. The results of this sensor research can work well. Using the Fuzzy Method which is effective for the system category method using the fuzzy logic method. The fourth data collected by the sensor is sent to Arduino which is divided into two categories: open and closed

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: 12 Dec 2022 06:23
Last Modified: 12 Dec 2022 06:23
URI: http://repository.unika.ac.id/id/eprint/30489

Actions (login required)

View Item View Item