Penerapan Algoritma K-Nearest Neighbor Dan Principal Component Analysis Pada Pengenalan Tulisan Tangan Dalam Kasus Penilaian Jawaban Esai

Bahtiar Gustiani, Yuyus (2018) Penerapan Algoritma K-Nearest Neighbor Dan Principal Component Analysis Pada Pengenalan Tulisan Tangan Dalam Kasus Penilaian Jawaban Esai. Diploma thesis, Universitas Komputer Indonesia.

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Abstract

SMK Negeri Rajapolah is one of the Vocational High Schools located in Tasikmalaya Regency, West Java. This vocational school has proper facilities of which one of them is a Koperasi. It is a kind of shop that sells any materials needed at school. The Koperasi is under Accountant study program and managed by their teachers. There is a problem which comes up in this Koperasi. The Koperasi Officer is difficult in serving the buyers (in this case are the students), which usually caused by the endless queuing of students. It happens because of payment process which takes long time. One of the solutions to overcome this problem is by developing a payment system on a Radio Frequency Identification basis, called RFID. This system is built to make the Koperasi Officer easier in giving service to the students, while the RFID system is used to minimize the long queuing. Based on the results of Black Box and Beta tests, it can be concluded that the implementation of RFID system in the Koperasi simplifies the service and makes less queuing.

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Pengenalan Tulisan Tangan, Principal Component Analysis, Ekstraksi Ciri, K-Nearest Neighbour, Pengolahan Citra Digital
Subjects: S1-Final Project > Fakultas Teknik Dan Ilmu Komputer > Teknik Informatika > 2018
Divisions: Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer
Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer > Teknik Informatika (S1)
Date Deposited: 31 Jan 2019 10:23
Last Modified: 31 Jan 2019 10:23
URI: https://repository.unikom.ac.id/id/eprint/58402

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