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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) DINAMIKA DOTCOM Teknik dan Ilmu Komputer Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Sistemasi: Jurnal Sistem Informasi
Cynthia Hayat
Universitas Kristen Krida Wacana - Jakarta Barat
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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 1 
LEGALITAS WEBSITE KOMERSIAL Hayat, Cynthia; Hutapea, Afrido V.
Teknik dan Ilmu Komputer vol. 2 no. 5 Januari-Maret 2013
Publisher : Teknik dan Ilmu Komputer

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Abstract

Transactions 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 customers’ confidence to do online transactions, reduce the crime rate, and increase the country’s income through online trade tax.  Keywords:  legality, legality of commercial website, EC-trust
Aplikasi Diagnosa Dini Penyakit Kanker Payudara Sevani, Gisela Nina; Hayat, Cynthia; Purba, Jenny Rosenta Ulina
Teknik dan Ilmu Komputer Vol. 03 No. 10 April-Juni 2014
Publisher : Teknik dan Ilmu Komputer

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Abstract

ANALISIS PEMILIHAN SEKOLAH DAN SENSITIVITAS DENGAN MENGGUNAKAN METODE Analytical Hierarchy Process (AHP) (STUDI KASUS: PEMILIHAN SEKOLAH SD DI CITRA INDAH) Hayat, Cynthia
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 6 NO 2 TAHUN 2015
Publisher : DINAMIKA DOTCOM

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Abstract

Metode Analytical Hierarchy Process (AHP) merupakan suatu metode yang digunakan dalam pengambilan keputusan terhadap penentuan prioritas pilihan dari berbagai alternatif. Pendekatan yang dilakukan dalam AHP adalah analisis permasalahan keputusan kriteria majemuk melalui prinsip-prinsip dekomposisi, analisa perbandingan, dan sintesa prioritas. Pada matriks yang dihasilkan akan dicari bobot dari tiap kriteria dan alternatif dengan menormalkan rata-rata geometrik. Bobot prioritas global diperoleh dengan mengalikan bobot prioritas lokal dari kriteria dengan bobot prioritas lokal dari alternatif. Analsis sensitivitas dalam AHP dilakukan dengan mengubah bobot prioritas dari kriteria keputusan. Bobot prioritas kriteria tersebut diubah lebih kecil dan lebih besar dari bobot sebelumnya, sehingga diperoleh perubahan urutan prioritas tanpa pengambilan data ulang. Kata Kunci:analisis metode, metode AHP, pemilihan sekolah
PERANCANGAN PORTAL WEB LEGALITAS WEBSITE KOMERSIAL (Design Web Portal for Legality of The Commercial Website) Hayat, Cynthia; Oktaviani, Mega Putri
DINAMIKA DOTCOM DINAMIKA DOTCOM Vol 5 No 2 TAHUN 2014
Publisher : DINAMIKA DOTCOM

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Abstract

The trade transaction with the internet was not controlled, both from the aspect of the clarity of the law and from each trade tax. Many cases of the deception and damaging dishonesty the customer became the importance reason of a department or the system that  could arrange the trade that used the internet. The department or this system functioned as the department that misses official permission some website commercial or the legality website commercial.With legality website commercial the was hoped for so that the process of the online trade transaction more orderly and clear his legal rule but also that the government could pull the trade tax from goods or the service. The legality website this could increase the customers trust when they want to do online transaction, reduced the crime rate/dishonesty,and the owner website commercial to obey the tax.Keywords:  legality, legality of commercial website, EC-trust
Early Indentification of Diabtes Mellitus Disease Using Expert System Builder Hayat, Cynthia
Teknik dan Ilmu Komputer Vol. 05 No. 20 Oktober - Desember 2016
Publisher : Teknik dan Ilmu Komputer

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Abstract

Abstrak Penyakit diabetes melitus disebabkan karena ketidakmampuan tubuh dalam memproduksi hormon insulin dalam jumlah yang cukup. Penyakit diabetes melitus tidak terjadi begitu saja, melainkan melalui komplikasi yang panjang. Tujuan dari pembuatan aplikasi ini adalah untuk dapat mendeteksi tahap-tahap awal penyakit diabetes melitus. Pengumpulan data dilakukan melalui transfer knowledge dari seorang pakar, yaitu dokter ahli penyakit dalam. Dengan memanfaatkan konsep expert system pada tools Expert System Builder (ESB), dibuat knowledge base rule, decision tree, dan decision table. Tahap-tahap perancangan dilakukan dengan merancang rule penelusuran identifikasi penyakit diabetes melitus, selanjutnya merancang decision table berdasarkan rule based, dan decision tree berdasarkan decision table yang telah dibuat. Kata kunci: identifikasi penyakit diabetes, sistem pakar, expert system builder  Abstract Diabetes mellitus disease, commonly referred as diabetes, is caused by the body inability to produce insulin hormone in sufficient quantities so that the blood sugar is in high condition. Diabetes mellitus disease comes from a long complication. The purpose of this application is to help the detection of the first stage of diabetes mellitus disease. The data is collected from knowledge transferred from an internist. By using the expert system concept from expert system builder (ESB) tools, knowledge base rule, decision tree, and decision table are created. The stage of design is as follows: diabetes mellitus disease identification search rule, design of rule based decision table, and design of decision tree based on the previously-prepared decision table. Keywords: Identification of Diabetes; Expert System, Expert System Builder 
ARCHITECTURE OF BACK PROPAGATION NEURAL NETWORK MODEL FOR EARLY DETECTION OF TENDENCY TO TYPE B PERSONALITY DISORDERS Hayat, Cynthia; Limong, Samuel; Sagala, Noviyanti
Khazanah Informatika Vol. 5 No. 2 December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i2.7923

Abstract

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%.
Virtual Reality Visualization of Tongkonan Traditional House as Promotional Media for Cultural Tourism using ADDIE Model Hayat, Cynthia; Panggeso, David
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.11049

Abstract

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.
Deep learning model for detection acute cardiogenic pulmonary edema in cases of preeclampsia Hayat, Cynthia; Soenandi, Iwan Aang
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4806-4812

Abstract

The physiological changes during the pregnancy period increase the risk of developing pulmonary edema and acute respiratory failure. This condition falls under critical medical emergencies associated with maternal mortality. This study utilized a convolutional neural networks (CNN) architectural model employing chest Xray dataset images. CNN utilizes the convolution process by moving a convolutional kernel of a certain size across an image, allowing the computer to derive new representative information from the multiplication of portions of the image with the utilized filter.To simplify, the vanishing gradient issue occurs when information dissipates before reaching its destination due to the lengthy path between input and output layers. This study was developed model for detection acute cardiogenic pulmonary Edema in pre-eclampsia cases using chest Xray images, implemented using PyTorch, Keras, and MxNet. The validated model achieved its optimum with accuracy 90.65% and binary cross-entropy loss (BCELoss) value of 0.4538. It exhibited an improved sensitivity value of 83.514% using a 5% dataset and a specificity value of 57.273%. This indicates an increase in sensitivity value by 83.514% using a 5% data set and a specificity value of 57.273%. The research results demonstrate an improvement in accuracy compared to several similar studies that also utilized CNN models.
Design of the Feeding Frog Cognitive Game for Early Childhood using the Mechanics, Dynamics, and Aesthetics (MDA) Framework and Greenfoot Hayat, Cynthia
SISTEMASI Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5213

Abstract

This study aims to design a cognitive game that stimulates early childhood motor development while introducing knowledge about animals and their types of food. The development of the game utilizes the Mechanics, Dynamics, and Aesthetics (MDA) framework along with the Greenfoot software. The mechanics component includes genre, objectives, platform, rating, levels, and artistic concept. The dynamics component covers storyline, gameplay controls, challenges, and game rules, while the aesthetics component emphasizes sensation, narrative, engagement, and fantasy. Players interact with the game by feeding animals based on their appropriate diets. The storyline centers on various animal habitats, where each level represents an environment with increasing difficulty—basic, intermediate, and advanced—while also providing motor stimulation. Participatory observation was conducted in several playgroups in West Jakarta to gain insights into the game's impact and identify the key elements that capture players’ interest. Evaluation of user responses showed that out of seven assessed statements, five received a "Very Good" rating, while the remaining two were rated as "Good" by 45 respondents. In terms of percentage, the highest achievement reached 90%, indicating that the Feeding Frog game demonstrates high clarity and ease of understanding, and holds potential as a tool to assist parents in stimulating children’s cognitive development.
Co-Authors Afrido V. Hutapea Gisela Nina Sevani Iwan Aang Soenandi Jenny Rosenta Ulina Purba Limong, Samuel Mega Putri Oktaviani Panggeso, David Sagala, Noviyanti