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Penerapan PSO Untuk Seleksi Fitur Pada Klasifikasi Dokumen Berita Menggunakan NBC

: Junianto, Erfian; Riana, Dwiza;

Digitalisasi informasi membuat penyebaran informasi menjadi lebih cepat, aktual, dan murah. Informasi yang disebarkan tersebut terjadi dalam bentuk te

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ANALYSIS OF FACTORS AFFECTING INTENTION TO USE INFORMATION SYSTEMS ON THE ACQUISITION AND CLASSIFICATION OF CERVICAL CANCER IMAGE

: Riana, Dwiza; Puspitasari, Diah; Rais, Amin, Nur; Fauzi, ahmad; Sandini, Dwi; Hidayanto, Achmad, Nizar

The use of ICT for health is known as e-health. Information System on the Acquisition and Classification of Cervical Cancer Image (ISAC) is one of e-h

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Improving Hierarchical Decision Approach for Single Image Classification of Pap Smear

: Riana, Dwiza; Ramdhani, Yudi; Prasetyo, Rizki, Tri; Hidayanto, Achmad, Nizar

The single image classification of Pap smears is an important part of the early detection of cervical cancer through Pap smear tests. Unfortunately, m

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Analisis Faktor-Faktor yang Mempengaruhi Kepuasan Pelanggan Fixpay Menggunakan SEM dengan PLS

: Kuntoro, Antonius, Yadi; Hasan, Moch, Arie; Saputra, Dedi, Dwi; Riana, Dwiza

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas pelayanan, nilai pelanggan, dan kepercayaan terhadap kepuasan pelanggan pada Fixpay. Fixpa

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Performance Evaluation of Pap Smear Cell Image Classification Using Quantitative and Qualitative Features Based on Multiple Classifiers

: Riana, Dwiza; Murni, Aniati

Abstract— This paper presents the results of a study on Pap smear cell image classification using qualitative features, as an effort to improve the

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SEGMENTATION AREA USING CANNY DETECTION FOR MILD LIGHT DYSPLASIA CELL PAP SMEAR

: Silvia, Raden, Egga, Megawati; Riana, Dwiza

In General, Cervical Cancer is a main reason of women death in the world. More than 80% of women was died because of cervical cancer in the developing

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Color Canals Modification with Canny Edge Detection and Morphological Reconstruction for Cell Nucleus Segmentation and Area Measurement in Normal Pap Smear Images

: Riana, Dwiza; Dewi, Dyah, Ekashanti, Octorina; Widyantoro, Dwi, H; Mengko, Tati, Latifah, R

Abstract. This paper presents a cell nucleus segmentation and area measurement of Pap smear images by means of modification of color canals with Canny

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Integration of Bagging and Greedy Forward Selection on Image Pap Smear Classification using Naïve Bayes

: Riana, Dwiza; Hidayanto, Achmad, Nizar; Fitriyani

Abstract-Herlev dataset consists of 7 cervical cell classes, i.e. superficial squamous, intermediate squamous, columnar, mild dysplasia, moderate dysp

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