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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Computatio : Journal of Computer Science and Information Systems INTECOMS: Journal of Information Technology and Computer Science Simtek : Jurnal Sistem Informasi dan Teknik Komputer Infotech: Journal of Technology Information Jurnal Mandala Pengabdian Masyarakat Joutica : Journal of Informatic Unisla Prosiding Seri Seminar Nasional

Novario Jaya Perdana

Universitas Tarumanagara

Author-ID : 925602

Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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APLIKASI PENDETEKSI POLA KALIMAT HEADLINE COPYWRITING DENGAN METODE SHIFT REDUCE PARSING Jeffri Alimin; Viny Christanti Mawardi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

This research aims to produce an application that assesses copywriting headline sentences with correct grammar and word mismatches. Copywriting is an activity of a work through writing to made the readers get response that the writers want to convey and in it there is one of the constituent elements, namely the headline which is a sentence that will be seen first before reading the main content of the work and in the headline there is an RTO formula for making it.In this research, the problem raised was implementing the shift reduce parsing method as a detection of sentence patterns and grammar in the headline copywriting from the preprocessing stage which provides part-of-speech (POS) labels using the HMM model with an accuracy value of 94.69% to the steps parsing and grading of sentences. In making this application, the SDLC waterfall model is carried out in a sequence of several processes in stages in designing and developing a system.The result of this research is an application with the form of a web framework using ASP.net as a web interface. After the application has been built, it will be tested using the blackbox test which results in 98% successful parsing that goes according to design.

PERBANDINGAN METODE AHP DAN SAW DALAM MENENTUKAN CALON KARYAWAN Kevin Kevin; Bagus Mulyawan; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (2019): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

During this time in selecting prospective employees, still using manual methods. Therefore the solution needed is to make an application for selecting candidates using the AHP and SAW methods. This application can facilitate the company in selecting prospective employees. Data collection techniques used were observation and interviews. In working on this application using several structured methods such as flowcharts, context diagrams, and relationships between tables. The programming language used in designing this application is PHP and uses the MySQL database. The method used to perform calculations on this application is the AHP and SAW methods. The results of the comparison of the AHP and SAW methods have differences because, the calculation stages between the two methods are different. In determining the criteria weights in the AHP method are determined by comparing the values between criteria, while the SAW method has determined the weight of the criteria With the creation of this website-based employee candidate selection application, it is expected to help the company in determining prospective employees.

IMPLEMENTASI METODE AGGLOMORATIVE HIERARCHICAL CLUSTERING PADA WEBSITE PEMILIHAN TEMPAT FUTSAL STUDI KASUS KOTA DEPOK Aditya Pratama; Desi Arisandi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

This application was made for the selection of futsal fields in the city of Depok. This application was made using the Agglomorative Hierarchical Clustering method which aims to recommend criteria for rental rates, distances, canteen facilities, toilet facilities and changing room facilities. This application will provide the recommended criteria based on the distance between the customer and the futsal location. Futsal place data is taken from futsal places in Depok City. The results of the Agglomorative Hierarchical Clustering method are the criteria values placed on the futsal field information.

IMPLEMENTASI OPINION MINING UNTUK PROVIDER INTERNET MENGGUNAKAN METODE NAIVE BAYES. Devin Abipraya; Viny Christanti Mawardi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 2 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

The development of information technology is growing from year to year. To support the smooth flow of information, there are many internet service providers circulating in Indonesia to support their needs. Some of the largest internet service providers in Indonesia such as Indihome, First media, and Biznet Home definitely have their own advantages and disadvantages.At this time, internet provider providers only accept customer complaints or suggestions through the customer service (CS) call center. Meanwhile, many young Indonesians currently use one of the popular Social Media services, namely Twitter as a user-friendly microblogging service so that users can easily use it, especially in delivering messages in the form of tweets. Therefore, a sentiment analysis program was designed for several internet providers in Indonesia. Opinions or Opinions will be analyzed to determine public sentiment. These sentiments will be classified into 3 sentiments, namely negative, positive, and neutral sentiments. The sentiment classification process can be done manually, but if there is too much data, it requires a system equipped with a classification method, so that the determination of classification can be done quickly. The design of this program applies the Naive Bayes Classifier method. Because this method is supervised learning, it requires training datasets with labels. Labeling will be done automatically using the K-means method. K-Means will sort tweets into groups which are divided into 3 labels. The results of the K-means clustering accuracy are 73.4%. The results of this application are divided into 2 parts, namely a pie chart which is divided into slices that describe the results of the percentage of tweet classifications and a table of classification results containing the number, content of the tweet, and the results of the classification. The best level of accuracy in testing uses 220 training data, and 54 training data. The results of the accuracy of 83.3%.

PENDETEKSIAN PENGGUNAAN MASKER WAJAH DENGAN METODE CONVOLUTIONAL NEURAL NETWORK Bunardi Budiman; Chairisni Lubis; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

“Face Mask Detection Using the Convolutional Neural Network” is a PC based program that aims to detect and classify human beings whether a person is using a mask or not with access through a webcam camera. This program is created using the Python language with several libraries. The classification of face masks uses the Convolutional Neural Network method with the MobileNetV2 architecture. Meanwhile, human face detection uses the Haarcascade Classifier. How the program works is by accessing the connected camera and if the person detected is wearing a mask, the person will be labeled "using a mask" and given a green box to mark the detection along with the analysis value, whereas if not, it will be labeled "not using a mask" and a red box with also the predicted value. From the test results, it can be proven that the accuracy program is good enough to detect the use of face masks with an average object detection accuracy of 88.53% and the classifier for the use of mask an average of 84.45%.

Pembuatan Aplikasi Berbasis Website Untuk Rekomendasi Fakultas dengan Algoritma C4.5 William Wijaksana; Desi Arisandi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i1.17853

unstable and easily influenced in decision-making, and one of the most frequent occurrences is the mistakes in determining their faculty. In this case, the application in the form of a faculty recommendation website aims to help students make the right decisions, and the teachers take a role as an admin to view the student data. This application is made using ASP.NET and JavaScript for the front-end and Python and C# for the back-end. Using the C4.5 algorithm, the faculty can recommend the students accordingly based on their hobbies and the grade criteria entered into the system. By calculating the C4.5 algorithm, it will produce a Decision Tree. The decision tree will be more accurate if there is more training data, thus making the system better and more accurate. The results generated on this website are still less accurate because the training data used is still small.

PENGAMANAN WEBSITE E-COMMERCE MENGGUNAKAN MULTI-FACTOR AUTHENTICATION Muhammad Adi Nugraha; Desi Arisandi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Data security is very important and privacy for every user because there is sensitive information so it must be safe from irresponsible parties. One method that can secure user account data is Multi-Factor Authentication. E-commerce applications using Multi-Factor Authentication can secure their user accounts. This discussion is about creating website-based e-commerce applications that users can use to buy smart phone products. This E-commerce website application can secure users through 3 login steps. The login mechanism presented in this e-commerce website application is login with password, login with OTP code, and finally login with personal questions. The experimental results show that using the multi-factor authentication method provides good security for user accounts

PERBANDINGAN KINERJA ALGORITMA NAÏVE BAYES DAN C4.5 UNTUK MENDETEKSI PENGELABUAN UNIFORM RESOURCE LOCATOR (PHISHING URL) Kevin Marcello Jonathan; Bagus Mulyawan; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Nowadays, phone or smartphone and internet are something that cannot be separated with human. One of negative effects of using internet is cyber crime like a phishing url. Phishing url is usually used to collecting personal information like pin number, credit card etc. There are many type of classification algorithm, two of them is Naïve Bayes and C4.5. Both of the alogithm is good for recognizing a phishing url. This website created are used to classify a unkown url with Naïve Bayes and C4.5 algorithm. The accuracy of C4.5 algorithm is 87.11% and 78.48% for Naïve Bayes. The average time needed to processing one url is 21.78 second for C4.5 and 23.31 second for Naïve Bayes.

MARKET BASKET ANALYST BASED ON WEBSITE USING ECLAT ALGORITHM (CASE STUDY POLA PHARMACY) Edgar Lawrence; Bagus Mulyawan; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 8, No 2 (2020): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Market basket analyst is a data mining technique todiscover associations between datasets. Association rulemining identifies a relationship between a large set ofdata item. When a large quantity of data is constantlyobtained and stored in database, several industries arebecoming concerned about mining association rulesfrom their databases. Market basket analysis examinescustomer buying patterns by identifying associationsamong various items that customers place in theirshopping baskets. It is helpful to examine customerpurchasing behaviour and assists in increasing sales. Sothis system is intended to develop a system for marketbasket analysis on Pola Pharmacy which generateassociation rules among itemsets with the use of ECLAT(Equivalence Class Transformation) algorithm. Thissystem supports the decision making process for amarket expert.

SISTEM INFORMASI DAN REKOMENDASI PENJUALAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Darwin Raharja; Desi Arisandi; Novario Jaya Perdana
Jurnal Ilmu Komputer dan Sistem Informasi Vol 10, No 1 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i1.17859

PD. Prima Karya Busana is an embroidery service provider since 2006 but more modern competitors have emerged. The COVID-19 pandemic has also forced digitalization activities. With this sales information and recommendation system, customers don't need to come and order manually, which can be done via the web as well as reach out to potential customers. There is a recommendation feature that can be used by customers to determine the selection of the best type of embroidery fabric based on several criteria such as price, weight, absorption rate, level of smoothness, clarity of embroidery stitches, and material resistance through interviews with PD. Prima Karya Busana owner using Simple Additive Weighting method. The method used for web development is System Development Life Cycle with Rapid Application Development model. The programming language used is PHP and MySQL as the database. The development has been completed properly based on Blackbox Testing and in accordance with the PD. Prima Karya Busana owner based on User Acceptance Testing and feedback provided. Customers and prospective customers are also proven to be able to access the web online well and use the recommendation feature to choose the best type of embroidery fabric based on the User Acceptance Testing.

Co-Authors ADITYA PRATAMA Alvin Chandra Andre Ertanto Audie Milson bagus Mulyawan Bagus Mulyawan Bagus Mulyawan S.Kom., M.M. Bryan Filemon Bunardi Budiman Caroline Wili Harto Chairisni Lubis Chairisni Lubis Charles Yuliansen Danu Yuliarto Darwin Raharja Dedi Trisnawarman Dennis Sebastian Derren Chrissanto Desi Arisandi Desi Arisandi Devin Abipraya Dyah Erni Herwindiati Dyah Erny Herwindiati Dyah Erny Herwindiati Edgar Lawrence Edward Darmaja Edwin Suryaputra Florentina Pramita Anindya Hanven Pradana Hizkia Natanael Ivan Sutedjo Jastien Phang Jeffri Alimin Kelvin Fernando Pinem Kevin kevin Kevin Marcello Jonathan Lioviani Gavrilla Michael Nathan Muhammad Adi Nugraha Natalicia Margatan Radika Yudha Riyanto Ribka Suwardy Steven Cang Steven Dharmawan Sudono Widjaja Supirman Supirman Tamara Violeta Tony Tony Vanesa Nellie Victor Femona Laoli Vincent Marcellino Viny Christanti M Wasino Wasino William Wijaksana Willyanto Wijaya Windah Maria Sonia Nadiah Hutagalung Yagyu Munenori M.E. Yongky Saputra Yulia Lim Zyad Rusdi

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