Putri, Vennia Permatasari (2021) Sistem Deteksi Kemacetan Pada Jalur Mesin Cartoning Menggunakan Logika Fuzzy. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perusahaan pembasmi hama memiliki alat konveyor. Salah satu mesin yang menggunakan alat konveyor yaitu pada mesin cartoning menuju mesin stacker. Proses pemindahan produk ini sering terjadi kemacetan produk akibat dari proses mesin cartoning dan produk tidak bisa lanjut ke mesin stacker. Adanya kemacetan produk menyebabkan produk setelahnya menumpuk dan operator tidak konsentrasi.
Sistem deteksi kemacetan ini menggunakan metode logika fuzzy dan diolah oleh Atmega328 untuk menghasilkan output berdasarkan perkiraan yang tepat. Dengan merespon dua input, yaitu kecepatan konveyor dan sensor photoelektrik sebagai indikator panjang antrian kemacetan. Kemudian, menghasilkan output berupa kecepatan pusher yang menggunakan motor DC.
Hasil dari percobaan menunjukkan sistem ini sesuai dengan tujuan yang ingin dicapai. Sistem deteksi kemacetan menggunakan logika fuzzy dapat mengatasi kemacetan produk dengan tingkat keberhasilan sebesar 100%. Dengan metode logika fuzzy, sistem memiliki eror dengan rata – rata sebesar 1,25%.
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The mosquito coil company has a conveyor. Once of the machines that use a conveyor is the cartoning machine to the stacker machine. This product transfer process often results in product jams as a result of the cartoning machine process and the product cannot proceed to the stacker machine. There is a product jam that cause the next product to accumulate and operator does not concentrate.
This congestion detection system uses fuzzy logic method and is processed by Atmega328 to produce output based on precise estimates. By responding to two inputs, namely the speed of the conveyor and the photoelectric sensor as an indicator of the length of the congestion queue. Then, produce an output in the form of a pusher speed that uses a DC motor.
The results of the experiment show that this system is in accordance with the objectives to be achieved. The congestion detection system using fuzzy logic can overcome product bottlenecks with a 100% succes rate. With the fuzzy logic method, the system has an average error of 1,25%.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Atmega328, Konveyor, Logika Fuzzy, Motor DC, Sensor Photoelektrik, Atmega328, Conveyors, DC Motor, Fuzzy Logic, Photoelectric Sensor |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TJ Mechanical engineering and machinery > TJ1398 Conveyors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2681.O85 Electric motors, Brushless. |
| Divisions: | Faculty of Vocational > 36304-Automation Electronic Engineering |
| Depositing User: | Vennia Permatasari Putri |
| Date Deposited: | 25 Aug 2021 05:27 |
| Last Modified: | 25 Aug 2021 05:27 |
| URI: | http://repository.its.ac.id/id/eprint/90291 |
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