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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Teknik dan Ilmu Komputer JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Jurnal Informatika dan Teknik Elektro Terapan Computatio : Journal of Computer Science and Information Systems Jurnal Sinergitas PkM & CSR MITRA: Jurnal Pemberdayaan Masyarakat MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Muara Ilmu Sosial, Humaniora, dan Seni Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Infortech Jurnal Bakti Masyarakat Indonesia Journal of Computer and Information Systems Ampera Prosiding Konferensi Nasional PKM-CSR Indonesian Journal of Multidisciplinary Science Prosiding Seri Seminar Nasional Madani : Jurnal Pengabdian Kepada Masyarakat Communication and Information Journal International Journal of Application on Economics and Business Inovasi Teknologi Masyarakat International Journal of Advances in Artificial Intelligence and Machine Learning Jurnal Serina Abdimas
Viny Christanti M
Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Tarumanagara Jakarta - Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Nursing Public Health Social Sciences Other

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PENENTUAN KELAS DENGAN NEAREST NEIGHBOR CLUSTERING DAN PENGGUNAAN METODE NAÏVE BAYES UNTUK KLASIFIKASI DOKUMEN Handry Wardoyo; Jeanny Pragantha; Viny Christanti M.
Jurnal Ilmu Komputer dan Sistem Informasi Vol 1, No 1 (2013): 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.v1i1.3075

Abstract

Clustering is a process of grouping documents that will form into several classes. The difference between clustering with classification is the classification will determine the class of the new document and the result is the new document will be joined into one class. In this research, clustering or grouping is used to group documents into classes based on threshold values. Several experiment is conducted to get the optimal threshold value. The optimal threshold will be used to train data clustering for naive bayes. The results of naive bayes training is used to determine the class of new document in testing phase. Results of clustering and classification depends on the words in the document, the narrower the discussion, the more accurate the results obtained from clustering and classification
PERANCANGAN SISTEM PENCARIAN LAGU INDONESIA MENGGUNAKAN QUERY BY HUMMING BERBASIS LONG SHORT-TERM MEMORY Henry Hartono; Viny Christanti Mawardi; Janson Hendryli
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (636.638 KB) | DOI: 10.24912/jiksi.v9i1.11567

Abstract

Song identification dan query by humming is an application that is developed using Mel-frequency cepstral coefficients (MFCC) and Long Short-Term Memory (LSTM) algorithm.The application purpose is to detect and recognize humming from the input data. In this application the humming input will be divided into two parts, namely the training audio and test audio. For the training audio, the training audio will be divided into two process stages, namely recognizing humming and searching for the unique features of a humming audio.To recognize the humming feature, the humming will be processed using the MFCC method. After obtaining a part of the MFCC Features, the MFCC features will be saved as a vector model. The feature that has been extracted will be learned by the LSTM method. For the test audio of the stages carried out as in the training audio, after the MFCC Feature is detected, an introduction will be made based on learning that has been done with the LSTM method to obtain output in the form of a song name that is successfully recognized and detected will be labeled by the application.
OPINION MINING UNTUK ULASAN PRODUK DENGAN KLASIFIKASI NAIVE BAYES Albert Jeremy; Viny Christanti M; Bagus Mulyawan
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 1 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.306 KB) | DOI: 10.24912/jiksi.v6i1.2591

Abstract

Nowadays, micro blogs have become the most used tools for users to share many things: from just updating things to telling their conditions or thoughts. Some popular micro blogs mostly used to give comments and opinions are facebook, instagram, and twitter. Twitter has 259 million active users each month as for January until April 2017. This made twitter one of the best micro blogs to know the most updated opinions.The system uses Naive Bayes Classification to classify opinions about smartphone and computer from twitter. The sentiments are divided to positive, neutral, and negative. After that, Confusion Matrix is used to evaluate the algorithm and count the accuracy. Naive Bayes Classification gives 77.7% accuracy for Unigram, 50.7% for Bigram, and 31.7% for Trigram
IMPLEMENTASI DATA MINING DENGAN METODE APRIORI UNTUK REKOMENDASI SUKU CADANG PONSEL DAN PREDIKSI PENJUALAN PRODUK SETIAP PELANGGAN Hanven Pradana; Viny Christanti Mawardi; 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.258 KB) | DOI: 10.24912/jiksi.v8i1.11469

Abstract

Application of cell phone parts recommendations and product sales predictions for each customer for Brader Parts is an application that is made aiming to provide predictions of each customer's buying habits as well as recommendations in selecting what items are most salable to sell and most sought after. This application was designed using the ASP.Net programming language. Method of Calculating application using Apriori. The design of the application uses the System Development Life Cycle. The test results are performed using the User Acceptance Test method and user satisfaction testing. With this application, it is expected that the process of consideration and selection of goods at the Brader Parts company can be helped.
PENGGUNAAN METODE COLLABORATIVE FILTERING BASED UNTUK REKOMENDASI KENDARAAN BERMOTOR Erwin Erwin; Viny Christanti Mawardi; Janson Hendryli
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.v10i1.17796

Abstract

Motorized vehicles are one of the main needs of every human being and also the most common form of transportation used by people. To choose a motorized vehicle, people should not choosing it in a hurry because it takes good consideration to choose the right brand, type, and the need for the vehicle. In making their choice, usually people will read the reviews from vehicle review sites such as Carmudi.co.id, OTO.com, KobaYogas.com, and so on. The purpose of this thesis is to help provide web-based vehicle recommendations using the values of rating and criteria selected by the user. User rating values are calculated with collaborative filtering. In addition to the rating value, users can also get vehicle recommendations by providing specifications of the vehicle needs. Rating values from the program users will be processed by using adjusted cosine similarity to determine their similarity score to the rating values from vehicle review sites and other users so the vehicle recommendations can be obtained according to the similarity of the other user ratings. Based on the results of User Acceptance Testing (UAT) from 21 respondents, the testing got an average score of 83.95% so the program can be categorized as “Very Good”.
CROSS LANGUAGE INFORMATION RETRIEVAL UNTUK DOKUMEN BAHASA INDONESIA DAN BAHASA MANDARIN Andreas Andreas; Viny Christanti M
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 1 (2014): 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.v2i1.3165

Abstract

We develop a CrossT LanguageF Information RetrievalE (CLIR) application for Indonesian and Chinese language documents. The main purpose of this application is to find documents that are relevant to document input. We applied Parallel Corpus for build in dictionary. This system makes 500 words . We applied Vector Space Model (VSM) for searching algorithm. VSM measure relevancy for each document in the form of weight. System accurately selects relevant documents with average accuracy of precision and recall for Chinese query are 0.857479 and 0.030692, for Indonesian query are 0.86473 and 0.0324.  The application used 50 queries in Indonesian and Chinese language. KeywordsParallel Corpus, Vector Space Model, Indonesian, Chinese.
ANALISIS PENDAPAT PUBLIK TERHADAP PUBLIC FIGURE DENGAN MENGGUNAKAN METODE NAIVE BAYES Januar Mansur; Viny Christanti Mawardi; Tri Sutrisno
Jurnal Ilmu Komputer dan Sistem Informasi Vol 7, No 2 (2019): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.13 KB) | DOI: 10.24912/jiksi.v7i2.7373

Abstract

Public Figure is a talented idol figure. For example, such as sportsmen, music players or film actors. Because it is the focus of the community, the behavior of a public figure is interesting to comment on. This is supported by the use of social media by Indonesian people such as Twitter. On the public figure page, existing comments can be analyzed to find out the sentiments of the people who are classified as positive, negative, and neutral. For a small amount of data, the comment classification process can be done manually, but if the data is too much it requires a system equipped with classification methods, so classification can be done quickly. The application of this classification will use a diagram feature, when the user types the public figure name the desired one will output the classification with a diagram. In determining the classification results will use the Naïve Bayes classification method. This application uses 6 training data classes of 2104 data with results of the system produced an accuracy of 96.47% and 6 trainng data balance of classes of 750 data with the result of the system produced an accuracy of 87.97%.
PEMBUATAN GAME PLATFORMER MULTIPLAYER "THE CONSTIN'S PROPHECY" Kevin The; Darius Andana Haris; Viny Christanti Mawardi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 2 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (515.321 KB) | DOI: 10.24912/jiksi.v6i2.2643

Abstract

Game “The Constin’s Prophecy” adalah game dengan genre multiplayer Platformer dengan tema side scrolling dengan animasi 2D. Game ini dirancang menggunakan Game Engine Unity dengan C# sebagai bahasa pemograman. Pemain mengikuti petualangan saudara kembar Valter dan Walter yang diramalkan oleh seorang penyihir bernama Constin akan mengalahkan Selena yang mengutuk seluruh penduduk desa menjadi rusa. Pemain pertama akan mengendalikan Valter dan pemain kedua akan mengendalikan Walter untuk mencapai tujuan akhir dengan selamat. Untuk mencapai level akhir, maka pemain harus melewati 7 level dengan tingkat kesulitan yang semakin meningkat. Permainan ditujukan untuk 2 orang yang bermain bersama-sama. Permainan dapat dimainkan seorang diri, namun pemain akan mengalami kesulitan pada saat memainkan game ini. Pengujian dilakukan dengan 2 metode yaitu blackbox testing dan alpha testing sedangkan beta testing dilakukan melalui survei pada 30 responden.
PENERAPAN METODE K-NEAREST NEIGHBOR DALAM MEMPREDIKSI WAKTU KELULUSAN MAHASISWA SARJANA YANG BERMAIN GAME Aleksander Nihcolson; Dali Santun Naga; Viny Christanti Mawardi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 2 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.2 KB) | DOI: 10.24912/jiksi.v9i2.13107

Abstract

Graduating from college is something that students really want. By graduating from college, it has become a sign for a student to become a worthy scholar to continue and enter the next level. Graduation time is influenced by the academic value obtained from a student. If a student gets a high score, the student's graduation will be faster or on time. On the other hand, if a student gets a score below the average, the student's graduation time will be longer. At this time, one of the causes of students getting low grades is because students who are so busy playing games neglect their lectures and lose concentration while studying. So this can affect the time of their graduation. Students should be able to control themselves to manage their time playing online games and lectures in order to complete their obligations as a student, and students who get low grades for playing games should also be aware that getting low grades continuously will result in the student being threatened with dropping out (DO).Therefore, an information system program was designed that can be used by students who like to play games to be able to predict their graduation time so that they can find out their graduation time. The design of this program applies the K-Nearest Neighbor method which is a classification technique for objects based on learning data that is closest to the object.The final result of the application of the K-Nearest Neighbor method in the program has its advantages and disadvantages. The classification process is strongly influenced by the large amount of training data, and the determined value of 'K' (neighbors). The more the amount of training data, the level of accuracy can be reduced. The level of accuracy in testing using training data is 230 data, and using test data as much as 30 data with several specified 'K' values, namely, 2, 3, 4, 10. Accuracy results with 4 K values used can reach an accuracy rate of 90% .
PEMBUATAN GAME RPG “Connecting World” Marsel Dwiputra; Viny Christanti M; Darius Andana Haris
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 2 (2015): 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.v3i2.3320

Abstract

Game “Connecting World” adalah game pertarungan melawan monster di berbagai dunia dalam game pada perangkat personal computer (pc). Game ini dibuat menggunakan game engine Unity3D, notepad++ untuk membuat script, dan paint untuk membuat komponen grafis dua dimensi (2D). User diposisikan sebagai karakter utama, yaitu seorang pemuda yang berpetualang mengalahkan setiap boss monster di lima dunia berbeda dengan menggunakan tiga jenis senjata berbeda. Senjata yang digunakan terdiri dari katana, two handed sword, dan dual sword. Terdapat pula lima kemampuan yang dapat digunakan user untuk mengalahkan monster. Skenario yang dapat ditemui pada game ini antara lain menyerang monster, membeli dan menjual barang, menyelesaikan quest, dan perpindahan tiap dunia. Pengujian dilakukan dengan metode blackbox, alpha testing oleh pembimbing, dan beta testing melalui survey pada 30 user. Hasil pengujian menunjukkan game ini sudah cukup menantang untuk dimainkan, namun terdapat kekurangan pada animasi serangan karakter utama yang masih terlihat sedikit kaku. Key wordsJavascript, C#, Game 3D, Unity3D, Role-Playing Game, Connecting World
Co-Authors Agus Budi Dharmawan Albert Jeremy Aleksander Nihcolson Andre Ertanto Andre Raymond Andreas Andreas Andreas Andreas Andreas Khosasi Anggreiny, Phoebe Cecilia Angkasa, Adhelia Anindita Septiarini, Anindita Antonius Sakti Wiradinata ARDAN, MOHAMAD Ardianto Ardianto Arwi, Adelia Vannissa Augusfian, Fendy bagus Mulyawan Bagus Mulyawan Benedicta, Cheria Berlin Ong Karo Karo Billy Fernando Brandon Alexander Jayadi Bryan Filemon Buana, Salsabila Ayunda Martsa Calvin Calvin Carlene Lim Carlene Lim Caroline Wili Harto Chintia, Tiffany Dali S Naga Dali S. Naga Dali S. Naga Dali S. Naga Dali S. Naga, MMSI Dali S.Naga Dali Santun Naga Daniel Daniel Daniel Daniel Darius A Haris Darius Andana Haris Darryl Kresnadi Nugroho Davin Pratama Dedi Trisnawarman Denis Kusbowo Desi Arisandi Desi Arisandi Desi Arisandi Dessy Yanti Destu Adiyanto Devi Ayu Permatasari Devin Abipraya Dewi Triani Dhani Andika Maharsi Didit Suprihanto, Didit Dinata, Fredickson Dyah Larasati, Annita Edward Darmaja Edy Susanto Endah Purnamasari Endah Setyaningsih Erikson T Erikson T Erwin Erwin Ery Dewayani Eryca Dhamma Shanty Fat, Joni Fendy Augusfian Ferry Ruben Yudistira Ferry Ruben Yudistira Yudistira, Ferry Ruben Yudistira Freddy Kurniawan Fredickson Dinata Fundroo Orlando Geraldine, Karmelia Gerry Geraldicky Gian Praista Gunadi, Alvin Nicolas Haikal M, Andrew Hamdani Hamdani Handoko Susanto Handoko Susanto, Handoko Handry Wardoyo Hanven Pradana Hartanto, Jonathan Chris Helen, Helen Hendri Yukianto Hendri Yukianto, Hendri Hendryli, Janson Henry Hartono Herman, Sylvia Hetty Karunia Tunjungsari Husada, Yusianne Kasih Irvan Lewenusa Irvan Lewenusa, Irvan Ivanka, Risa James Eklie Janson Hendryli Janson Hendryli Janson Hendryli Janson Hendryli Janson Hendryli Januar Mansur Jayadi, Brandon Alexander Jeanny Pragantha Jeanny Pragantha Jeffri Alimin Jesica Jesica Jesica Kurniadi, Jesica Jesslyn Jesslyn Jimmy Jimmy Joko Joko Jonathan Adrian Wibowo Joshua Octavianus Joshua Octavianus, Joshua Julius Evan Harya Chandra Kalyani, Khema Dwi Karo Karo, Berlin Ong Kenneth Hakim Kevin kevin Kevin Kurniawan H. Kevin Prasetio Kevin The Kuncoro Yoko Lavenia Lely Hiryanto Lie, Nadia Natha Livienia Livienia Maharsi, Dhani Andika Manatap Dolok Lauro, Manatap Dolok Marco Marco Maria Asinta Marpaung Maria Asinta Marpaung, Maria Asinta Marsel Dwiputra Marsel Dwiputra, Marsel Martsha Buana, Salsabilla Ayundha Marvellino Mei Ie Meiliansyah, Carens Berliyanti Meiriani Tjandra Meiriani Tjandra Meiske Yunitree Suparman Michael, Valentino Muhammad Farras Mutiara Ramadhani Sugiri Mutiara, Maitri Widya Nadia Natha Lie Naga, Dali S. Natasya, Stephanie Nathaniel, Nikolaus Niki Valentine Niki Valentine, Niki Nikolaus Nathaniel Novario Jaya Perdana Nurmadewi, Dita Okengwu, Ugochi A Orlando, Fundroo Pangandaheng, Grasella Aldonia Pharadya Ajeng Swari Sukmawati Phung, Mulan Prabu Alif Anggadiputra Prof. Dr. Ir. Dali S. Naga, MMSI Pusaka, Semerdanta Putra Lukita Putri, Aneesa Joenice rani puspitasari Rendi Kristyadi Ricky Cangniago Ricky Martin Rini, Cika Puspita Riwanda, Josephine Kayla Riyanto, Radika Yudha Rizqi Amelia, Aulya Robertus Budihalim Robertus Budihalim, Robertus Rudy Rudy Salsabila, Nur Maya Saskia Lavinsky Septiasari, Abellia Shanty, Eryca Dhamma Sharlene Solikhah, Nafia Stenly Tirta Wijaya stephanie stephanie Steven Steven Dharmawan Steven Muliadi Steven Muliadi, Steven Steven Steven Sugisandhea, Georgia Supriyanton, Adolf Asih Susilo, Andri Sylvia Wulandari, Sylvia TAKESHI, CECILIANA Tania Rizgitta Tony Tony Tony Tony TRI SUTRISNO TRI SUTRISNO Utama, Didi Widya Vanesa Nellie Vincent Marcellino Wati, Masna Widi Santoso Wijaya, Dion Dwi Willyanto, Vinnie Wilson Gozal, Wilson Yagyu Munenori M.E. Yasser, Achmad Yohan Prasetyo Sugianto Yohanes Calvinus Yolanda, Aubrey Yosua Pandapotan Sianipar Yukianti, Chiara Rizka Yulianto Yulianto Yulianto Yulianto Zyad Rusdi Zyad Rusdi