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SIMULASI PENERAPAN TEKNOLOGI FACE RECOGNITION PADA APLIKASI PENDATAAN KEHADIRAN KARYAWAN / KARYAWATI TERINTEGRASI E-MON SISTEM PENGGAJIAN DENGAN PENDEKATAN EIGENFACE DAN UXD LARAVEL VERSI 5.6 BERBASIS CLOUD SERVICE Suharyanti Suharyanti; Raditya Rimbawan
Jurnal Ilmiah FIFO Vol 13, No 2 (2021)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2021.v13i2.006

Abstract

Face recognition is a face-oriented recognition method by comparing patterns that have previously been stored in the database. In general, facial image recognition systems are divided into two types, namely feature based systems and image based systems. To carry out facial image recognition, there are several kinds of approach algorithms that can support the processing of the face image. One approach algorithm that is well known and capable of processing images with a good level of accuracy is the eigenface approach. By using the eigenface approach, the face image will be processed by performing a matrix calculation, which results in an eucludian distance to be able to get the suitability of the face image. so this research produces a result which includes: the results of the test on the FGD Functional says for the accepted percentage is: 73% for not accepted is 27%, for Non-Functional FGD says for the accepted percentage is 82% and not accepted is 18 %, and for the results of testing the adaptation of ISO 9126 in the good category with a percentage result of 79%, and the last test result, namely the Blackbox Testing test to be accepted is 83% and for the results the percentage that is not accepted is 17%
SIMULASI PENERAPAN TEKNOLOGI FACE RECOGNITION PADA APLIKASI PENDATAAN KEHADIRAN KARYAWAN / KARYAWATI TERINTEGRASI E-MON SISTEM PENGGAJIAN DENGAN PENDEKATAN EIGENFACE DAN UXD LARAVEL VERSI 5.6 BERBASIS CLOUD SERVICE Raditya Rimbawan; Suharyanti Suharyanti; Amat Basri
Jurnal Pepadun Vol. 2 No. 1 (2021): April
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (840.747 KB) | DOI: 10.23960/pepadun.v2i1.39

Abstract

Abstract — Face recognition is a face-oriented recognition method by comparing patterns that have previously been stored in the database. In general, facial image recognition systems are divided into two types, namely feature based systems and image based systems. To carry out facial image recognition, there are several kinds of approach algorithms that can support the processing of the face image. One approach algorithm that is well known and capable of processing images with a good level of accuracy is the eigenface approach. By using the eigenface approach, the face image will be processed by performing a matrix calculation, which results in an eucludian distance to be able to get the suitability of the face image. so this research produces a result which includes: the results of the test on the FGD Functional says for the accepted percentage is: 73% for not accepted is 27%, for Non-Functional FGD says for the accepted percentage is 82% and not accepted is 18 %, and for the results of testing the adaptation of ISO 9126 in the good category with a percentage result of 79%, and the last test result, namely the Blackbox Testing test to be accepted is 83% and for the results the percentage that is not accepted is 17%
Implementasi Data Mining Untuk Mengetahui Pola Pembelian Pelanggan Pada Produk Vin’s Cafe Dengan Algoritma Apriori Dan Pengujian Kualitas Melalui Metode ISO 9126 Calvin Chandra; Indah Fenriana; Raditya Rimbawan
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1538

Abstract

Vin's Cafe merupakan bistro yang menjual makanan dan minuman yang pelanggannya umumnya anak-anak. Kehadiran deal secara konsisten di Vin's Bistro, membuat deal pertukaran informasi terus berkembang dan membuat kapasitas informasi meningkat. Motivasi di balik ulasan ini adalah untuk memutuskan contoh pembelian klien berdasarkan konsekuensi dari penanganan perhitungan yang disimpulkan dan untuk menguji dan melaksanakan efek sampingan dari berbagai informasi dalam struktur web. Teknik yang digunakan adalah perhitungan deduksi, perhitungan deduksi adalah perhitungan yang bekerja dengan mencari aturan afiliasi tanpa henti di antara item yang diiklankan. aturan afiliasi yang dimaksud dibawa keluar melalui sistem untuk bekerja di luar bantuan dan kepercayaan hubungan sesuatu. Aturan afiliasi seharusnya memikat dengan asumsi harga bantuan lebih menonjol daripada bantuan dasar dan harga kepastian lebih penting daripada kepastian dasar. Hasil dari tinjauan ini adalah Vin's Bistro dapat mengawasi sistem penawaran masa depan dengan 4 standar yang didapat dari pertukaran informasi menggunakan perhitungan yang disimpulkan dan hasil eksperimen menggunakan ISO 9126 dapat dianggap dalam Model Umumnya sangat baik dengan efek samping dari variabel Kegunaan menjadi 85%, hasil dari sudut Ketergantungan 74,5%, konsekuensi dari bagian Kemudahan penggunaan 88%, konsekuensi dari bagian Kemahiran 76%, efek samping dari bagian Kepraktisan 75% dan efek samping dari bagian Kekompakan 85%.
Co-Authors Amat Basri Calvin Chandra Indah Fenriana Suharyanti Suharyanti