PROTOTYPE MESIN PENGISI GALON MANDIRI PADA DEPOT AIR MINUM MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DAN ADAFRUIT IO

ADIYANTO, AZIS NUR (2020) PROTOTYPE MESIN PENGISI GALON MANDIRI PADA DEPOT AIR MINUM MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DAN ADAFRUIT IO. S1 thesis, Universitas Mercu Buana.

[img]
Preview
Text (HAL COVER)
01 COVER.pdf

Download (308kB) | Preview
[img] Text (BAB I)
02 Bab 1.pdf
Restricted to Registered users only

Download (52kB)
[img] Text (BAB II)
03 Bab 2.pdf
Restricted to Registered users only

Download (555kB)
[img] Text (BAB III)
04 Bab 3.pdf
Restricted to Registered users only

Download (400kB)
[img] Text (BAB IV)
05 Bab 4.pdf
Restricted to Registered users only

Download (381kB)
[img] Text (BAB V)
06 Bab 5.pdf
Restricted to Registered users only

Download (26kB)
[img] Text (DAFTAR PUSTAKA)
07 Daftar Pustaka.pdf
Restricted to Registered users only

Download (82kB)
[img] Text (LAMPIRAN)
08 Lampiran.pdf
Restricted to Registered users only

Download (41kB)

Abstract

Refill drinking water depots are industrial businesses that process raw water into drinking water and sell directly to consumers usually using gallon bottle. In Indonesia, the whole community can establish this business as long as it meets the requirements in accordance with applicable regulations namely the Decree of the Minister of Industry and Trade No. 651 / MPP / Kep / 10/2004. In general, the process flow in drinking water depots goes through several stages, namely the collection of raw water, filtering, disinfection, sterilization of containers / gallons and filling. The problem is in the gallon water filling stage. The filling process is done manually in terms of measuring the volume of water produced. This causes the accuracy of measurement results is low because it only relies on operator / worker vision (human error). Another problem is that there is no payment system that can recap the sales results within a certain time frame. To overcome this problem, an automation system was made in measuring water volume using a flowmeter sensor and applying RFID (Radio Frequency Identification) technology and the Adafruit IO platform as a payment system. Based on the results of the analysis and testing conducted in this study, the results of the calculation of the percentage of errors in the measurement range of water volume from 0 to 5000 mL are 0.714%. So that the accuracy of the measurement is 99.286%. The testing of the distance between the prototype device and the Wi-Fi device should be no more than 20 m, so that connectivity is well connected and data can be sent. Finally, infrared sensor testing can detect the presence of gallons at a maximum distance of 35 mm. Keywords : Drinking Water Depot, Flowmeter Sensor, Infrared Sensor, RFID Depot air minum isi ulang merupakan usaha industri yang melakukan proses pengolahan air baku menjadi air minum dan menjual langsung kepada konsumen biasanya menggunakan wadah berupa galon. Di Indonesia, seluruh kalangan masyarakat dapat mendirikan usaha ini selama telah memenuhi syarat sesuai regulasi yang berlaku yaitu Keputusan Menperindag RI Nomor 651/MPP/Kep/10/2004. Secara umum alur proses pada depot air minum melalui beberapa tahap, yaitu penampungan air baku, penyaringan, desinfeksi, sterilisasi wadah/galon dan pengisian. Permasalahannya terdapat pada tahap pengisian air pada galon. Proses pengisian dilakukan secara manual dalam hal pengukuran volume air yang dihasilkan. Hal ini menyebabkan akurasi hasil pengukuran rendah karena hanya mengandalkan penglihatan operator/pekerja (human error). Permasalahan lainnya adalah belum adanya sistem pembayaran yang dapat merekap hasil penjualan dalam rentang waktu tertentu. Untuk mengatasi masalah tersebut, dibuat sistem otomasi dalam pengukuran volume air menggunakan sensor flowmeter dan menerapkan teknologi RFID (Radio Frequency Identification) serta platform Adafruit IO sebagai sistem pembayaran. Berdasarkan hasil analisa dan pengujian yang telah dilakukan pada penelitian ini, hasil perhitungan persentase error pada rentang pengukuran volume air dari 0 sampai 5000 mL adalah 0,714 %. Sehingga ketelitian pengukuran yaitu 99,286 %. Adapun pengujian jarak antara perangkat prototype dengan perangkat Wi-Fi sebaiknya tidak lebih dari 20 m, agar konektivitas terhubung dengan baik dan data dapat terkirim. Terakhir, pengujian sensor infrared dapat mendeteksi keberadaan galon pada jarak maksimum 35 mm. Kata Kunci : Depot Air Minum, RFID, Sensor Flowmeter, Sensor Infrared

Item Type: Thesis (S1)
Call Number CD: FT/ELK. 20 263
Call Number: ST/14/21/054
NIM/NIDN Creators: 41418120007
Uncontrolled Keywords: Depot Air Minum, RFID, Sensor Flowmeter, Sensor Infrared
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.4 System Programming and Programs/Sistem Pemrograman dan Program > 005.43 Operating System/Sistem Operasi > 005.432 Specific Operating Systems/Sistem Operasi Tertentu
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 550 Earth Sciences/Ilmu tentang Bumi > 553 Economic Geology/Geologi Ekonomis > 553.7 Water, Fresh Water/Air
600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 629 Other Branches of Engineering/Cabang Teknik Lainnya > 629.8 Automatic Control Engineering/Teknik Kontrol Otomatis
600 Technology/Teknologi > 680 Manufacture For Specific Uses/Industri Pembuatan produk untuk penggunaan tertentu > 681 Precision Instruments/Produksi Instrumen Presisi > 681.2 Testing, Measuring, Sensing Instruments/Produksi Alat-alat untuk Tes, Pengujian dan Sensor
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: Dede Muksin Lubis
Date Deposited: 15 Feb 2022 03:53
Last Modified: 15 Apr 2023 03:18
URI: http://repository.mercubuana.ac.id/id/eprint/56067

Actions (login required)

View Item View Item