Perancangan Sistem Otomasi Penggunaan Barcode Scanner Pada Trolley Berbasis Arduino Mega 2560

Shinta Mardhatillah Liusmar(1), Riki Mukhaiyar(2),
(1) Universitas Negeri Padang  Indonesia
(2) Universitas Negeri Padang  Indonesia

Corresponding Author


DOI : https://doi.org/10.24036/voteteknika.v8i2.109161

Full Text:    Language : ind

Abstract


Supermarket adalah tempat penjualan berbagai macam jenis produk atau kebutuhan sehari-hari, dan tidak heran jika banyak konsumen yang memilih berbelanja di supermareket karena berbagai macam alasan salah satunya adalah kualitas produk, sistem pelayanan dan juga kenyamanan tempat berbelanja. Pada waktu-waktu tertentu para konsumen berbelanja secara bersamaan, contohnya pada saat awal bulan, yang mengakibatkan waktu untuk mengantri ke loket kasir yang terlalu panjang dan menyebabkan konsumen sangat lama menunggu. Pada tugas akhir ini tujuan yang akan dicapai adalah membuat barcode scanner trolley berbasis arduino mega 2560 yang mampu meminimalisasikan waktu untuk konsumen mengantri untuk tiba di loket kasir. Trolley dilengkapi dengan barcode scanner untuk mengidentifikasi spesifikasi prodek, LCD TFT touchscren yang berfungsi sebagai media tampilan nama barang, harga dan total berbelanja pada trolly, Printer thermal berfungsi sebagai media pencetakan dari total belanja yang dimasukkan kedalam trolley.

References


Wardiah, N., 2003, Pengembangan produk baru dan model-model evaluasi produk baru, Jurnal Manajemen Maranatha, vol 2, hal.93-113.

Asadi, N., Jackson, M., dan Fundin, A., 2017, Linking product design to flexibility in an assembly system: a case study, Journal of Manufacturing Technology Management, Vol.28, hal.610-630

Ahmad, S., Wong, K.Y., Tseng, M.L. dan Wong, W.P., 2018, Sustainable product design and development: A review of tools, applications and research prospects, Resources, Conservation and Recycling, Vol.132, hal.49-61.

Ahmad, S., Wong, K.Y., Tseng, M.L. dan Wong, W.P., 2018, Sustainable product design and development: A review of tools, applications and research prospects, Resources, Conservation and Recycling, Vol.132, hal.49-61.

Kotler, P., 2000, Manajemen Pemasaran, Edisi I. Jakarta: Prenhallindo.

R. Mukhaiyar, 2017, Digital Image dan Remote Sensing Image as a Data for an Identification of a Quality of a Non-Point Source Pollutant in Ciliwung River, Indonesia, International Journal of GEOMATE, vol. 12, iss. 32, pp. 142-151.

R. Mukhaiyar, 2019, Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identification, International Journal of GEOMATE, vol. 16, iss. 53, pp. 245-251, 2019.

R. Mukhaiyar, 2017, The Comparation of Back Propagation Method and Kohon Method for Gas Identification, International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103, 2017.

R. Mukhaiyar, 2010, Klasifikasi Penggunaan Lahan dari Data Remote Sensing, Jurnal Teknologi Informasi dan Pendidikan, vol. 2, iss. 1, pp. 1-16.

R. Mukhaiyar, S.S. Dlay, W.L. Woo, 2014, Alternative Approach in Generating Cancellable Fingerprint by Using Matrices Operations, Proceeding of ELMAR-2014, pp. 1-4.

D.E. Myori, R. Mukhaiyar, E. Fitri, 2019, Sistem Tracking Cahaya Matahari pada Photovoltaic, INVOTEK: Jurnal Inovasi Vokasional dan Teknologi, vol. 19, iss. 1, pp. 9-16.

R. Mukhaiyar, 2015, Cancellable Biometric using Matrix Approaches, Theses in Newcastle Univesity, UK.

R. Mukhaiyar, 2018, Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements, Asian Social Sciences, vol. 14, no. 6, pp. 1-20.

R. Mukhaiyar, Syawaludin, 2019, Security System Design on Feature Information of Biometric Fingerprint using Kronecker Product Operation and Elementary Row Operation, Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14.

H. Aulia, R. Mukhaiyar, 2017, A New Design of Hnadless Stirred Device, Proceeding 4th International Conference on Technical and Vocational Education and Training (TVET), pp. 579-582.

R. Mukhaiyar, R. Safitri, 2019, Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System, Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14.

R. Mukhaiyar, 2011, Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image, International Journal of Computer, Electrical, Automation Control, and Information Engineering, World Academy of Science, Engineering, and Technology, vol. 5, iss. 7, pp. 753-758.

R. Mukhaiyar, 2017, Core-Point, Ridge-Frequency, and Ridge-Orientation Density Roles in Selecting Region of Interest of Fingerprint, International Journal of GEOMATE, vol. 12, iss. 30, pp. 146-150.

R. Mukhaiyar, 2017, Analysis of Galton-Henry Classification Method for Fingerprint Database FVC 2002 and 2004, International Journal of GEOMATE, vol. 12, iss. 40, pp. 118-123.


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