Articles
<![CDATA[LEGALITAS WEBSITE KOMERSIAL ]]>
<![CDATA[Hayat, Cynthia]]>;
<![CDATA[Hutapea, Afrido V.]]>
<![CDATA[ Teknik dan Ilmu Komputer vol. 2 no. 5 Januari-Maret 2013 ]]>
Publisher : <![CDATA[Teknik dan Ilmu Komputer ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[AbstrakTransaksi jual beli dengan media internet umumnya tidak terkontrol, baik dari aspek kejelasan hukum maupun dariàpajak jual beli. Banyaknya kasus penipuan dan kecurangan yang merugikan pelanggan menjadi alasan pentingnya suatu badan atau sistem yang dapat mengatur perdagangan dengan menggunakan media internet. Badan atau sistem tersebut berfungsi sebagai badan yang mengeluarkan ijin resmi atau legalitas website komersial. Dengan adanya legalitas website komersial diharapkan proses transaksi jual beli online menjadi lebih tertib dan jelas aturan hukumnya serta agar pemerintah dapat menarik pajak jual beli dari suatu barang atau jasa. Legalitas website ini dapat meningkatkan kepercayaan pelanggan pada saat bertransaksi, meminimalisirkan tingkat kejahatan/kecurangan, dan juga agar pemilik usaha dengan media website lebih taat pajak.àKata Kunci: legalitas, website komersial, EC-trustààAbstractTransactions over the internet are uncontrolled both from the legal clarity and trade tax aspects. The increasing number of deception and fraud cases emphasizes the importance of a system or a governing body to manage online trade. This system or body should issue permits for or approve the legitimacy of commercial websites. The online transactions are expected to be better organized and legally existed. The government can also apply trade tax for online transactions. The website legality will increase customersââ¬â¢ confidence to do online transactions, reduce the crime rate, and increase the countryââ¬â¢s income through online trade tax. àKeywords:àlegality, legality of commercial website, EC-trust]]>
<![CDATA[KAJIAN IDENTIFIKASI MODEL DIAGNOSIS NEUROBLASTOMA DENGAN METODE BACKPROPAGATION DAN PRINCIPAL COMPONENT ANALYSIS ]]>
<![CDATA[Hayat, Cynthia]]>;
<![CDATA[Fredicia, Fredicia]]>
<![CDATA[ DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 9 NO 2 TAHUN 2018 ]]>
Publisher : <![CDATA[DINAMIKA DOTCOM ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Neuroblastoma is a type of embryonal cancer of the nervous system that is mostly found in children. Most etiologies of neuroblastoma are unknown, so many patients undergo treatment at an advanced stage. The importance of detection as early as possible is very necessary in neuroblastoma cancer so that children diagnosed with neuroblastoma can get a good prognosis. Through this study, it is expected to be able to know the feasibility of research with regard to artificial neural network procedures and the proposed PCA method. In this case the desired model is a set of training faces that will be formed through a linear combination in the training Propagation phase using backpropagation artificial neural network algorithms. In this case the desired model is a set of training faces that will be formed through a linear combination in the training Propagation phase using backpropagation artificial neural network algorithm. Backpropagation training by conducting feed-forward from input training patterns, calculations, related errors, and weighting settings based on previous weightsKeywords: Â literature study, identification, backpropagation, PCA]]>
<![CDATA[ARCHITECTURE OF BACK PROPAGATION NEURAL NETWORK MODEL FOR EARLY DETECTION OF TENDENCY TO TYPE B PERSONALITY DISORDERS ]]>
<![CDATA[Hayat, Cynthia]]>;
<![CDATA[Limong, Samuel]]>;
<![CDATA[Sagala, Noviyanti]]>
<![CDATA[ Khazanah Informatika Vol. 5 No. 2 December 2019 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23917/khif.v5i2.7923
<![CDATA[Personal disorder is a type of mental illness. People with personal disorder can not respond changes and demands of life in normal ways. Women with type B personal disorder tend to have high risk of violence. It is important to make early detetction of this personal disorder, so that it can be anticipated properly. This paper reports an architecture model of back propagation neural network (BPPN) for early detection of type B personal disorder. The back propagation process divided into two phases, i.e training and testing. The training process used 43 data and the testing process used 34 data. The output classified into 4 diagnosis category of type B personal disorder, I.e. anti social, borderline, histrionic, and narcissistics. The optimal parameters of BPPN model consist of maximum epoch of 1000, maximum mu of 10000000000, increase mu of 25, decrease mu of 0.1, and neuron hidden layer of 25. The MSE of training is 3.07E-14 and MSE of testing is 1.00E-03. The accuracy of training is 90.7%, while the accuracy of testing is 97.2%.]]>
<![CDATA[THE STUDY OF EARLY DIAGNOSIS OF PERSONALITY DISORDER WITH EXPERT SYSTEM BUILDER ]]>
<![CDATA[Cynthia Hayat]]>
<![CDATA[ Jurnal Ilmiah KOMPUTASI Vol 18, No 1 (2019): Maret ]]>
Publisher : <![CDATA[STMIK JAKARTA STI&K ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Personality disorders are chronic psychological disorders that can affect work, family and social life of a person. In some cases, the possibility of people do not realize that they have a personality disorder as a way of thinking and behaving seems natural to the patient, and the patient may blame others. To diagnose a personality disorder early, then made an application using expert system builder tools. Data collected through interviews with an expert who understands the problem of personality disorders. By utilizing the concept of expert system on expert system builder tool (ESB) there was a transfer of knowledge from experts to the application to be made. This application is made to follow the rules knowledge base, decision tree and decision table. Stages of the design is to design a search rule identification of diabetes mellitus, then design decision table based on the rule-based and subsequently designed a decision tree based decision table that has been created. Keywords : Personality disorders diagnosis, Expert system, Expert system builder ]]>
<![CDATA[Virtual Reality Visualization of Tongkonan Traditional House as Promotional Media for Cultural Tourism using ADDIE Model ]]>
<![CDATA[Hayat, Cynthia]]>;
<![CDATA[Panggeso, David]]>
<![CDATA[ Khazanah Informatika Vol. 6 No. 2 October 2020 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23917/khif.v6i2.11049
<![CDATA[Indonesia is a country that is rich in culture and customs. Indonesia also has great potential in the field of tourism, especially cultural tourism. The key to attracting tourist visitors lies in the information media provided. In this paper, a desktop-based application is developed with 3D virtual reality graphics model technology with Tongkonan traditional house from the Toraja tribe and their environment as the object. This 3D virtual reality visualization aims to be an interactive promotional media for the millennial generation in introducing cultural tourism, especially the Tongkonan traditional house of Toraja. In this application, the user can explore the traditional house objects as a whole – with the help of navigation control in the form of keyboard and mouse. The ADDIE model method was used in designing this desktop application. The user response test was used to measure respondents' attitudes toward the application using the Likert scale and succeeded in getting the very good category in 17 questionnaire statements and the good category in three questionnaire statements. Therefore, it can be concluded that the VR visualization of Tongkonan Traditional House can act as an interactive promotional media to the millennial generation.]]>
<![CDATA[Architecture of Back Propagation Neural Network Model for Early Detection of Tendency to Type B Personality Disorders ]]>
<![CDATA[Cynthia Hayat]]>;
<![CDATA[Samuel Limong]]>;
<![CDATA[Noviyanti Sagala]]>
<![CDATA[ Khazanah Informatika Vol. 5 No. 2 December 2019 ]]>
Publisher : <![CDATA[Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23917/khif.v5i2.7923
<![CDATA[Personal disorder is a type of mental illness. People with personal disorder can not respond changes and demands of life in normal ways. Women with type B personal disorder tend to have high risk of violence. It is important to make early detetction of this personal disorder, so that it can be anticipated properly. This paper reports an architecture model of back propagation neural network (BPPN) for early detection of type B personal disorder. The back propagation process divided into two phases, i.e training and testing. The training process used 43 data and the testing process used 34 data. The output classified into 4 diagnosis category of type B personal disorder, I.e. anti social, borderline, histrionic, and narcissistics. The optimal parameters of BPPN model consist of maximum epoch of 1000, maximum mu of 10000000000, increase mu of 25, decrease mu of 0.1, and neuron hidden layer of 25. The MSE of training is 3.07E-14 and MSE of testing is 1.00E-03. The accuracy of training is 90.7%, while the accuracy of testing is 97.2%.]]>
<![CDATA[DenseNet-CNN Architectural Model for Detection of Abnormality in Acute Pulmonary Edema ]]>
<![CDATA[Cynthia Hayat]]>
<![CDATA[ Khazanah Informatika Vol. 7 No. 2 October 2021 ]]>
Publisher : <![CDATA[Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23917/khif.v7i2.13455
<![CDATA[Acute pulmonary edema (EPA) is a condition of emergency respiratory distress that results from the sudden and rapid build-up of fluid into the lungs. Rapid screening of EPA patients is necessary so that radiologists can make the prognosis as early as possible. In addition, reliance on the expert's knowledge of reasoning also hinders the diagnostic process. This research proceeded by developing an architectural model for machine learning systems with a deep learning approach. With the concept of representative learning, the denseNet-CNN algorithm connects each layer to another utilizing a feed-forward. The data used is Image CXR-14 that is specifically labeled pulmonary edema pathology. Each CXR-14 image is 1024 × 1024 in size with a value of 8 bits grayscale. The architectural model development consists of several stages: the preparation stage, data resampling, data training, and data testing. Optimizer parameters used are Adam's optimizer, a learning rate of 0.0001, weight decay = 1e-5, and the loss used is binary cross-entropy. The resulting mean of AUROC analysis showed that the sensitivity value of the 10% dataset was 71.493%, and the specificity value of 10.011% was obtained at the second hold of the k-fold cross-validation method after holdout validation so that the resulting model was valid. The detection system developed from the denseNet-CNN model is to expectedly help radiologists identify abnormalities in CXR images quickly, precisely, and consistently. The development of the denseNet CNN model is in the form of a heatmap visualization by localizing the features one is watching. With localization in the heat map form, pathological abnormalities detection of PEA is easier to do and recognize.]]>
<![CDATA[Virtual Reality Visualization of Tongkonan Traditional House as Promotional Media for Cultural Tourism using ADDIE Model ]]>
<![CDATA[Cynthia Hayat]]>;
<![CDATA[David Panggeso]]>
<![CDATA[ Khazanah Informatika Vol. 6 No. 2 October 2020 ]]>
Publisher : <![CDATA[Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23917/khif.v6i2.11049
<![CDATA[Indonesia is a country that is rich in culture and customs. Indonesia also has great potential in the field of tourism, especially cultural tourism. The key to attracting tourist visitors lies in the information media provided. In this paper, a desktop-based application is developed with 3D virtual reality graphics model technology with Tongkonan traditional house from the Toraja tribe and their environment as the object. This 3D virtual reality visualization aims to be an interactive promotional media for the millennial generation in introducing cultural tourism, especially the Tongkonan traditional house of Toraja. In this application, the user can explore the traditional house objects as a whole – with the help of navigation control in the form of keyboard and mouse. The ADDIE model method was used in designing this desktop application. The user response test was used to measure respondents' attitudes toward the application using the Likert scale and succeeded in getting the very good category in 17 questionnaire statements and the good category in three questionnaire statements. Therefore, it can be concluded that the VR visualization of Tongkonan Traditional House can act as an interactive promotional media to the millennial generation.]]>
<![CDATA[Identification of fat-soluble vitamins deficiency using artificial neural network ]]>
<![CDATA[Noviyanti Sagala]]>;
<![CDATA[Cynthia Hayat]]>;
<![CDATA[Frahselia Tandipuang]]>
<![CDATA[ Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 1, Year 2020 (January 2020) ]]>
Publisher : <![CDATA[Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.14710/jtsiskom.8.1.2020.6-11
<![CDATA[The fat-soluble vitamins (A, D, E, K) deficiency remain frequent universally and may have consequential adverse resultants and causing slow appearance symptoms gradually and intensify over time. The vitamin deficiency detection requires an experienced physician to notice the symptoms and to review a blood test’s result (high-priced). This research aims to create an early detection system of fat-soluble vitamin deficiency using artificial neural network Back-propagation. The method was implemented by converting deficiency symptoms data into training data to be used to produce a weight of ANN and testing data. We employed Gradient Descent and Logsig as an activation function. The distribution of training data and test data was 71 and 30, respectively. The best architecture generated an accuracy of 95 % in a combination of parameters using 150 hidden layers, 10000 epoch, error target 0.0001, learning rate 0.25.]]>
<![CDATA[RealTime Pendaftaran Pasien Berbasis Web Service dan SMS Gateway : Pada Masa PSBB di Klinik Karisma Medika ]]>
<![CDATA[Cynthia Hayat]]>
<![CDATA[ Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 10, No 2 (2021): JULI ]]>
Publisher : <![CDATA[ISB Atma Luhur ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32736/sisfokom.v10i2.1151
<![CDATA[Abstract— The current COVID-19 pandemic has an impact on all sectors of life where the government has set a policy of Large-Scale Social Restrictions (PSBB). The existence of restrictions on activities known as 3M requires Karisma Medika Clinic to adapt its operational workflow by utilizing information technology to adapt patient registration. To make it easier for patients to register and get a queue number by developing a web service-based application and SMS Gateway. The application is developed based on a web service using the Codeigniter framework with a flow of information procedures regarding the attending physician, then after selecting a doctor, will go to the registration section to fill in personal data and symptoms and complaints for consultation. The data entered in the application will be stored in the Gammu SMS engine database and through the SMS gateway, patients will receive a queue number for consultation at the clinic in real time which will continue to be updated. User response tests from 25 respondents showed that it was easy for patients to register by paying attention to health protocols of 92.25% (very easy), 5% (easy), and 2.75 % quite easy. While the satisfaction indicator is 95% (very satisfied) and 5% of respondents (satisfied).]]>
