Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Teknik dan Ilmu Komputer Proceeding of the Electrical Engineering Computer Science and Informatics ComTech: Computer, Mathematics and Engineering Applications
Rini Wongso
Computer Science Department, Bina Nusantara University
Computer Science & IT Electrical & Electronics Engineering Engineering Mathematics

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : ComTech: Computer, Mathematics and Engineering Applications

 1 
Perancangan Sistem Informasi Penjualan dan Persediaan pada PT Selatan Jaya Prima Perkasa Surja, Stephanie; Wongso, Rini
ComTech: Computer, Mathematics and Engineering Applications Vol 4, No 2 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i2.2497

Abstract

This study aims to analyze the organization needs in sales and stock company process that related with the current business process at PT Selatan Jaya Prima Perkasa. The result will be used for developing an integrated system that can be the solution for the company needs in running their sales and to control theirinventory stock status as the main business of the company. The analyzed result in the company needs will be documented using unified modeling language. This information system is expected to simplify ease the company’s activitis in sales process and inventory stock control. This system will also minimize the data lost and human error usually caused by manual process of transactional data storage.
Eve: An Automated Question Answering System for Events Information Christanno, Ivan; Priscilla, Priscilla; Maulana, Jody Johansyah; Suhartono, Derwin; Wongso, Rini
ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 1 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i1.3781

Abstract

The objective of this research was to create a closed-domain of automated question answering system specifically for events called Eve. Automated Question Answering System (QAS) is a system that accepts question input in the form of natural language. The question will be processed through modules to finally return the most appropriate answer to the corresponding question instead of returning a full document as an output. Thescope of the events was those which were organized by Students Association of Computer Science (HIMTI) in Bina Nusantara University. It consisted of 3 main modules namely query processing, information retrieval, and information extraction. Meanwhile, the approaches used in this system included question classification, document indexing, named entity recognition and others. For the results, the system can answer 63 questions for word matching technique, and 32 questions for word similarity technique out of 94 questions correctly.
Question Categorization using Lexical Feature in Opini.id Saputra, Christian Eka; Suhartono, Derwin; Wongso, Rini
ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 4 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i4.4026

Abstract

This research aimed to categorize questions posted in Opini.id. N-gram and Bag of Concept (BOC) were used as the lexical features. Those were combined with Naïve Bayes, Support Vector Machine (SVM), and J48 Tree as the classification method. The experiments were done by using data from online media portal to categorize questions posted by user. Based on the experiments, the best accuracy is 96,5%. It is obtained by using the combination of Bigram Trigram Keyword (BTK) features with J48 Tree as classifier. Meanwhile, the combination of Unigram Bigram (UB) and Unigram Bigram Keyword (UBK) with attribute selection in WEKA achieves the accuracy of 95,94% by using SVM as the classifier.
Perancangan Sistem Informasi Penjualan dan Persediaan pada PT Selatan Jaya Prima Perkasa Stephanie Surja; Rini Wongso
ComTech: Computer, Mathematics and Engineering Applications Vol. 4 No. 2 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i2.2497

Abstract

This study aims to analyze the organization needs in sales and stock company process that related with the current business process at PT Selatan Jaya Prima Perkasa. The result will be used for developing an integrated system that can be the solution for the company needs in running their sales and to control theirinventory stock status as the main business of the company. The analyzed result in the company needs will be documented using unified modeling language. This information system is expected to simplify ease the company’s activitis in sales process and inventory stock control. This system will also minimize the data lost and human error usually caused by manual process of transactional data storage.
Eve: An Automated Question Answering System for Events Information Ivan Christanno; Priscilla Priscilla; Jody Johansyah Maulana; Derwin Suhartono; Rini Wongso
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 1 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i1.3781

Abstract

The objective of this research was to create a closed-domain of automated question answering system specifically for events called Eve. Automated Question Answering System (QAS) is a system that accepts question input in the form of natural language. The question will be processed through modules to finally return the most appropriate answer to the corresponding question instead of returning a full document as an output. Thescope of the events was those which were organized by Students Association of Computer Science (HIMTI) in Bina Nusantara University. It consisted of 3 main modules namely query processing, information retrieval, and information extraction. Meanwhile, the approaches used in this system included question classification, document indexing, named entity recognition and others. For the results, the system can answer 63 questions for word matching technique, and 32 questions for word similarity technique out of 94 questions correctly.
Question Categorization using Lexical Feature in Opini.id Christian Eka Saputra; Derwin Suhartono; Rini Wongso
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 4 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i4.4026

Abstract

This research aimed to categorize questions posted in Opini.id. N-gram and Bag of Concept (BOC) were used as the lexical features. Those were combined with Naïve Bayes, Support Vector Machine (SVM), and J48 Tree as the classification method. The experiments were done by using data from online media portal to categorize questions posted by user. Based on the experiments, the best accuracy is 96,5%. It is obtained by using the combination of Bigram Trigram Keyword (BTK) features with J48 Tree as classifier. Meanwhile, the combination of Unigram Bigram (UB) and Unigram Bigram Keyword (UBK) with attribute selection in WEKA achieves the accuracy of 95,94% by using SVM as the classifier.
Co-Authors ., Meiliana ., Silvia Alexander Kevin Aprilia, Vivi Regina Charles Sutanto Christanno, Ivan Christian Eka Saputra Derwin Suhartono Derwin Suhartono Derwin Suhartono Fiona Kesuma Ivan Christanno Jaka Hartanto Jody Johansyah Maulana Maulana, Jody Johansyah Meiliana . Noverdi Safrizal Novita Hanafiah Pitri Rukmana Priscilla Priscilla Priscilla, Priscilla Rukmana, Pitri Saputra, Christian Eka Silvia . Stephanie Surja Suhartono, Derwin Surja, Stephanie Swandyka, Imam Vivi Regina Aprilia Yesmaya, Violitta Zeavani, Muhammad Niko