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All Journal Jurnal DISPROTEK International Journal Artificial Intelligent and Informatics
Rendy Bagus Pratama
Magister Teknik Informatika Universitas Amikom Yogyakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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PENERAPAN METODE EIGENFACE PADA SISTEM PARKIR BERBASIS IMAGE PROCESSING Rendy Bagus Pratama
Jurnal DISPROTEK Vol 9, No 2 (2018)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.142 KB) | DOI: 10.34001/jdpt.v9i2.801

Abstract

ABSTRACT The ease in the all-electronic world is now being tried in a parking system, where the parking system will facilitate the user in determining the parking location, and with this system further development will be easier, can be developed in the parking reservation system and parking payment system using the money electronic. In making this system the researcher is supported by eigenface method, where in the process of this system will calculate between ata beginning which already input with new data which will be capture in real time by system. By using eigenface method the researcher is supported with matlab application to make prototype to do testing to system whether it really feasible to be a problem solving or even add a problem. In testing the system is done using 90 data that all different objects and also different region of time. All objects are taken directly from the parking location. Keywords: Eigenface, Image Processing, Parking System ABSTRAK Kemudahan dalam dunia yang semua serba elektronik kini dicoba diterapkan dalam suatu sistem parkir, dimana sistem parkir akan mempermudah pengguna dalam menentukan lokasi parkir, dan dengan sistem ini pengembangan selanjutnya akan lebih mudah, bisa dikembangkan dalam sistem pemesanan lokasi parkir maupun sistem pembayaran parkir dengan menggunakan uang elektronik. Dalam pembuatan sistem ini peneliti didukung dengan metode eigenface, dimana dalam pengerjaan sistem ini akan menghitung antara ata awal yang sudah terinput dengan data baru yang akan di capture secara real time oleh sistem. Dengan menggunakan metode eigenface peneliti didukung dengan aplikasi matlab untuk membuat prototype untuk dilakukan pengujian terhadap sistem apakah benar-benar layak untuk dijadikan suatu pemecahan masalah atau bahkan menambah suatu masalah. Dalam pengujian sistem yang dilakukan dengan menggunakan 90 data yang semuanya berbeda objek dan juga berbeda wilayah waktunya. Semua obyek diambil secara langsung dari lokasi parkir. Kata kunci: algoritma genetika, penjadwalan, makespan, mean flow time, lateness
Calculating vehicle intensiveness increase on eid al-fitr day with anfis method Rendy Bagus Pratama; Ema Utami; Ferry Wahyu Wibowo
International Journal Artificial Intelligent and Informatics Vol. 1 No. 1 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.592 KB) | DOI: 10.33292/ijarlit.v1i1.10

Abstract

the number of motorized vehicles increases every year, especially private vehicles and is not offset by inadequate access until the road becomes more crowded, even traffic jams occur, especially during public holidays and national holidays. for example, during eid holidays there is a density of traffic flow when going back and forth every year, with the development of current technology the density of traffic flows that occur can be calculated so that it will be easier to anticipate in the future. but in this study only will examine the parameter values that cause the vehicle to occur density and accumulation, because it can be developed with parameter values so that the results can be obtained efficiently in solving traffic density. From the results of the anfis method, efficiency is obtained, namely on h-1 and h days of 2014, and 2017 can use Parameters with magins of 6,3% and 4,32%, while 2015 and 2016 can use parameters with margins 1,79% and 0,79%. and for the h + 1 day of 2014, 2016, and 2017, it is more efficient to use parameters with margins 1,4% and only parameters in 2015 which have the efficiency value using parameters with margin -6,17. anfis application in this calculation can be developed in a prediction system.
Co-Authors Ema Utami Ferry Wahyu Wibowo