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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 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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PEMBUATAN GAME PUZZLE PLATFORMER "LEGATO LETS GO TO MUSIC" PADA PLATFORM PC Billy Fernando; Darius A Haris; Viny Christanti
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 (793.591 KB) | DOI: 10.24912/jiksi.v6i2.2622

Abstract

Game “Legato, Lets Go To Music” adalah game dengan genre Puzzle platformer yang di kombinasikan dengan game bergenre musik sehingga dapat disebut juga musicality platformer game ini menggunakan tampilan 2D pada PC dengan sistem operasi Windows. Game ini dirancang dengan menggunakan game engine Unity dengan C#  sebagai bahasa pemrogramannya dan visual art menggunakan Adobe Photoshop serta musik dengan menggunakan Fl Studio. Game ini memiliki tujuan untuk memberikan pengetahuan serta edukasi kepada pemainnya karena pada permainan “Legato, lets go to music” ini menggunakan 10 lagu daerah dari berbagai macam daerah yang ada di Indonesia sebagai bahan acuannya. Pengujian dilakukan dengan metode blackbox testing, alpha testing oleh dosen pembimbing, dan beta testing dengan melalui survei pada 30 responden.
PEMBUATAN GAME STRATEGI QUEST FOR HOLY GRAIL Yulianto Yulianto; Viny Christanti M
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.v3i2.3330

Abstract

Game “Quest for Holy Grail” merupakan board game bergenre strategi yang mengambil beberapa unsur dari Tactical RPG. Game ini dibuat dengan menggunakan Adobe Flash CS 6.0 dengan ActionScript 3.0, sedangkan disain dalam game dirancang menggunakan Adobe Illustrator CS 6.0 dan Adobe Photoshop CS 6.0. Dalam game ini, tiap pemain ditugaskan untuk mencari kunci dengan warna yang sesuai dengan warna tiap pemain. Kunci ini digunakan untuk membuka gembok pada bagian tengah map dalam permainan. Permainan dimenangkan apabila salah satu pemain berhasil mencapai grid bersimbol holy grail pada bagian tengah map. Dalam game ini, terdapat tiga macam map yang dapat dipilih. Setiap map memiliki ukuran dan efek-efek grid yang berbeda. Efek grid akan aktif apabila karakter pemain berada pada grid yang ada. Dalam Quest for Holy Grail, tiap pemain dapat memilih dua dari empat karakter yang tersedia untuk digunakan dalam permainan. Setiap karakter memiliki kemampuan dan kekurangan yang berbeda-beda. Pemain dapat memberikan perintah kepada pion karakter untuk bergerak, menyerang karakter lawan, atau menggunakan kemampuan. Hasil pengujian dari kuisioner yang dibagikan kepada 30 orang menunjukkan bahwa game “Quest for Holy Grail” memiliki antar muka dan penjelasan yang mudah dipahami, tapi masih memiliki kekurangan dalam keseimbangan antar kekuatan karakter dan tingkat visibilitas ukuran grid. KeywordsActionScript 3.0, Adobe Flash CS 6.0, Adobe Illustrator CS 6.0, Adobe Photoshop CS 6.0, Board Game, Quest for Holy Grail, Strategy Game, Tactical RPG
Perolehan Dokumen dengan Metode Latent Semantic Indexing untuk Dokumen Bahasa Indonesia Daniel Daniel; Viny Christanti M
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (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.v2i2.3201

Abstract

The main focus of this study is to develop a system to retrieve document based on query. The document that used in this paper were collected from blogspot which contains of travelling and culinary topic. This system produce ranked relevant document based on similarity of each document using query. In this paper, we used two methods. The first method is LSI (Latent Semantic Indexing), in LSI we use Singular Value Decomposition (SVD) to reduce the rank of matrix which is too big for system to compute. The second method is VSM (Vector Space Model), this method is used to compute the weight of each word. The VSM was used because it was initially one of the best methods that used for retrieval. In this paper, we used precision and recall to measure the accuracy of both methods. It turns out that the precision and recall using LSI is 0.16569 and 0.25 while using VSM is 0.93961 and 0.81 Key words Indonesian blogspot, Information Retrieval, Latent Semantic Indexing, Vector Space Model.
PEMBUATAN GAME VISUAL NOVEL "NOAH THE RESCUER" Darryl Kresnadi Nugroho; Darius Andana Haris; Viny Christanti
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 (599.024 KB) | DOI: 10.24912/jiksi.v6i2.2627

Abstract

Game “Noah The Rescuer” merupakan game dengan genre edukasi yang mempunyai gameplay cerita yang dibawakan secara visual novel dan game ini memiliki fitur minigames. Game ini dibuat menggunakan Game Engine Unity2D dengan C# sebagai bahasa pemograman. Pemain akan disuguhkan cerita Alkitab tentang cerita Nabi Nuh yang diperintahkan Allah untuk membuat bahtera dan memasukan binatang secara berpasang-pasangan. Pengujian dilakukan dengan kuesioner yang telah diisi oleh 30 responden.
IMPLEMENTASI MOSES PADA PENCARIAN KATA TERJEMAHAN BAHASA INDONESIA-BATAK TOBA Maria Asinta Marpaung; Viny Christanti Mawardi; Dali S.Naga
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (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.v3i1.3278

Abstract

Machine translation is the use a computer in translating text from one language to another. This application program is designed to search for words and sentences Indonesian to Toba Batak translation.  The purpose design of this application program is tointroducing vocabulary in the Indonesian-language Batak Toba based on Moses. Translated results is generated based on documents that has been created. This application is tested by the method of Black Box Testing, testing the truth table, and using BLEU. Based on the testing that has been done indicates all the functions contained in this application program has been running well. The system is designed to translate the Indonesian words and sentences to Toba Batak must related to the Bible and praise song lyrics. Documents are created for the search system of this translation is documents Indonesian and Toba Batak language of the Bible, the lyrics of the song of praise, and the combined documents Bible and praise song lyrics. The calculation of accuracy values obtained by each is different documents. Values obtained on documents greatest accuracy of song lyrics praise is 96.57%, compared with the Bible documents and combined these two documents is 79.84% and 80.28%.Keywords : Indonesian-Toba Batak, machine translation, Moses, Statistical Machine Translation
Sistem Tanya Jawab berbasis Informasi Media Online Niki Valentine; Viny Christanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol 3, No 1 (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.v3i1.3283

Abstract

Sistem tanya jawab merupakan sistem yang dapat menjawab pertanyaan berdasarkan koleksi dokumen yang tidak terstruktur dalam bahasa alami. Penelitian sistem tanya jawab berbasis media sosial dan media online lain ini berfokus pada pencarian jawaban dari koleksi dokumen bahasa Indonesia yang berhubungan dengan ilmu pengetahuan alam untuk pertanyaan yang bersifat factoid maupun non-factoid. Dalam penelitian dilakukan dua percobaan yaitu percobaan untuk sistem tanya jawab factoid dan non-factoid. Masing-masing percobaan akan dilakukan terhadap dokumen dan tweet. Sistem tanya jawab factoid secara keseluruhan menunjukkan hasil terbaik dengan nilai MRR sebesar 0.4885 untuk dokumen dan 0.274 pada tweet. Sistem tanya jawab nonfactoid untuk dokumen menghasilkan akurasi sebesar 98% dan untuk tweet menghasilkan akurasi  sebesar 84%. Key wordsBoolean Model, Factoid, Nonfactoid, Information Retrieval, Paragraph-based Passages, Pengenalan Entitas, Question paraphrase, Sistem Tanya Jawab, Vector Space Model
PENGGUNAAN SPELLING CORRECTION DENGAN METODE PETER NORVIG DAN N-GRAM Ricky Martin; Dali Santun Naga; Viny Christanti Mawardi
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 (1185.35 KB) | DOI: 10.24912/jiksi.v9i1.11591

Abstract

Typing errors in a document are human errors that are difficult to avoid as a result of which the message to be conveyed is not optimal. Using the Spelling Corrector feature is one way to check typing errors. The Spelling Corrector feature is able to provide only one word suggestion and correct it immediately. The combination of Peter Norvig and Ngram's methods was able to come up with one word suggestion and correct it right away. Both methods of looking for word suggestions use the probability value of the words that appear most frequently in the dictionary. The difference between the two methods is that Peter Norvig uses an algorithm that combines the delete, insert, replace, and transpose processes for the wrong word. Meanwhile, Ngram uses an algorithm that pays attention to the words before and after them based on the sentences in the dictionary. The dictionary used is a dictionary of word lists from KBBI and also a dictionary of sentences taken from several articles on the internet. This combination of methods was tested using 55 documents containing sentences that had one misspelled word. The test results show that the combination of the two methods provides an accuracy rate of 73,684% and a success rate of 37,037% for the total accuracy of this application is 69.09%. These two methods can be used to correct typing errors, although they cannot correct words with an error rate of two or more letters. This is because Peter Norvig was unable to correct a word with a two-letter error rate and needed a good corpus.
PEMBERIAN KELAS KATA PADA BAHASA LAMPUNG MENGGUNAKAN STANFORD POS TAGGER DENGAN METODE MAXIMUM ENTROPY Handoko Susanto; Viny Christanti M; Dali S. Naga, MMSI
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (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.v2i2.3208

Abstract

Fokus utama penelitian adalah mengembangkan sebuah sistem pos tagging bahasa Lampung menggunakan Stanford Pos Tagger. Dilakukan beberapa penyesuaian pada fitur dan dokumen training agar sesuai dengan bahasa Lampung. Model probabilitas yang digunakan pada penelitian adalah Maximum Entropy. Model ini digunakan dalam perhitungan probabilitas setiap kata oleh Stanford Pos Tagger dalam proses training. Penelitian pada tingkat akurasi dilakukan dengan membandingkan dokumen output hasil sistem dengan dokumen yang sudah diberi kelas kata secara manual. Pada hasil pengujian didapat hasil penggunaan fitur dan dokumen bahasa Lampung pada sistem Stanford Pos Tagger berhasil mendapatkan tingkat akurasi yang cukup tinggi pada dokumen bahasa Lampung dengan rata-rata akurasi 97,45% untuk set fitur satu dan 94,95% untuk set fitur dua. Key words Bahasa Lampung, Maximum Entropy, Natural Language Process, Stanford Pos Tagger.
PERANCANGAN PENILAIAN ESAI OTOMATIS DENGAN KNUTH MORRIS PRATT Jesica Jesica; Viny Christanti M
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (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.v2i2.3213

Abstract

Designation of automated essay scoring with Knuth Morris Pratt is an application used to score essay automatically. Essay in this application is Indonesian essay. The main process of this system is SyntacticSemantic Similarity that is supported with tagging process and Knuth Morris Pratt method to score essay. Stanford POS tagging is used in POS tagging process for Indonesian. This application can be used by teachers and students. This system compares students’ answers and key answers. Next step, system get the score based on the similarity of the answers. The score from the system gives quite good result but it still has weakness. System cannot produce perfect score even though all essay is answered correctly. Average score of 50 right answers is 99.739 and average score of 50 imperfect answers is 76.1 with average time is 1.51 seconds. Key words automated essay scoring, Knuth Morris Pratt, syntactic semantic similarity, Stanford POS tagging
APLIKASI PERINGKAS OTOMATIS UNTUK MULTI DOCUMENT INDONESIA DENGAN WEIGHT OF FEATURES Robertus Budihalim; Jeanny Pragantha; Viny Christanti
Jurnal Ilmu Komputer dan Sistem Informasi Vol 2, No 2 (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.v2i2.3223

Abstract

Automatic Text Summarization is a computer-based application that produces text that is shorter than the original text, but still keep the important sentences of the text. This application is designed to perform summarization for Indonesian sociology documents. The purpose of this application is to design a system which can classify documents according to the contents similarities with Complete Linkage Clustering method, to design a system to generate a summary of some sociology documents with Weight Of Features method, helping the reader to get the important sentences of some of the documents, and shorten the time in obtaining the important sentences of several documents. This application was tested by Black Box Testing method, Purity and Question & Answer Evaluation. Based on the testing that has been conducted shows that all of the functions contained in the application program has been going well. The system has been designed to automatically classify documents with the best threshold value on 0.00005 with a 75 804% value of accuracy, and the system can generate a summary of some sociology documents with compression value of 25%, 50% and 75%. The greater value chosen, compression results summary will be more complete. The accuracy of the summary value of compression 25%, 50% and 75% respectively are 50%, 61%, and 81%. Key words Automatic Text Summarization, Complete Linkage Clustering, Multi Document, Weight of Features
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 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 Didit Suprihanto, Didit Dinata, Fredickson Dyah Larasati, Annita Edward Darmaja Edy Susanto Endah Purnamasari Endah Setyaningsih Erikson T Erikson T Erwin Erwin Ery Dewayani 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 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 Manatap Dolok Lauro, Manatap Dolok 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 Niki Valentine Niki Valentine, Niki 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 Sharlene Solikhah, Nafia Stenly Tirta Wijaya stephanie stephanie Steven Steven Dharmawan Steven Muliadi Steven Muliadi, Steven Steven Steven 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