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All Journal JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Informasi Interaktif
wati, Vera
Jurusan Akuntansi Fakultas Ekonomi Universitas Langlangbuana Bandung
Computer Science & IT Economics, Econometrics & Finance

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PENGARUH PENGENDALIAN INTERN DAN KINERJA KARYAWAN TERHADAP EFEKTIVITAS SISTEM INFORMASI AKUNTANSI (SURVEI PADA PT GRAHA PANGAN LESTARI) wati, Vera
JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi) Vol 1 No 4 (2017): Vol.1 No.4 Desember 2017
Publisher : Jurusan Akuntansi Fakultas Ekonomi Universitas Langlangbuana Bandung

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Metode yang dilakukan dalam penelitian pada PT Graha Pangan Lestari adalah metoddeskriptif verifikativ, dimana teknik yang digunakan dalam pengumpulan data dilakukan dengacara observasi, kuesioner, serta penelitian kepustakaan. Sedangkan untuk mengetahupengaruh antara variabel pengendalian intern (X1) dan variabel kinerja karyawan (X2) terhadavariabel Efektivitas sistem informasi akuntansi (Y) menggunakan analisis regresi berganda. Dari hasil penelitian menunjukkan bahwa pengendalian intern berpengaruh sebesa65,8%. terhadap efektivitas sistem informasi akuntansi dan kinerja karywan berpengarusebesar 57,2% terhadap efektivitas sistem informasi akuntansi. Dengan demikian dapadisimpulkan bahwa pengendalian intern dalam perusahaan yang telah diterapkan dengan badapat mempengaruhi efektivitas sistem informasi akuntansi.Kata kunci : Pengendalian Intern, Kinerja Karyawan , Efektivitas Sistem Informasi Akuntansi  
IMPLEMENTASI DETEKSI TEPI MENGGUNAKAN METODE QUADRANT TREE CLASSIFIER PADA PEMISAHAN OBJEK BERBASIS DIGITAL IMAGE PROCESSING (STUDI KASUS : OBJEK BENDERA NEGARA) Nurcahyo1, Azriel Christian; Wati, Vera; Profesi, Dwinda Etika; Kusrini, Kusrini
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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ABSTRACTEdge detection is segmentation of image input that aims to determine the edge by marking the detail part of an image. From some previous studies it has not been shown the results of detection to be able to separate objects from the center of the image input image itself. The purpose of this study is to perform an edge detection function by dividing into nodes using the concept of the Quadran Tree Classifier method to be applied to the case study of the object colored image of the using national flag. Some input images have different levels of complexity and pixels, including the Korean flag, Wales flag, and the flying Indonesian flag. The method is the adoption of tree data structure, where each has 4 nodes the same number of child nodes. If the node has children, number of nodes must be 4, recursively doing the loop. The working concept of this method split and merge segmentation. The results of object segmentation combined in accordance with the homogeneity of colors, especially those with confusion. This research show which is able to observe the scanning pixel on image Korean flag and the flying Indonesian flag, however level pixel 520 x 347 such as Wales flag, this method is unable to separate between line object that is not nudge. The pixel resolution has an effect with total time execution segmentation (minute/sec), total segmentation identified and the total colour.Keywords : edge detection, quadrant tree, digital image processing, image, segmentation
Co-Authors Kusrini Kusrini Nurcahyo, Azriel Christian Profesi, Dwinda Etika