scholarly journals Implementasi Natural Language Processing Dalam Pembuatan Chatbot Pada Program Information Technology Universitas Surabaya

Teknika ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 114-121
Author(s):  
Vincentius Riandaru Prasetyo ◽  
Njoto Benarkah ◽  
Vioni Jannet Chrisintha
Keyword(s):  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Cross Validation ◽  
Program Information

Program Information Technology di Jurusan Teknik Informatika, Universitas Surabaya, merupakan salah satu program yang menggunakan bahasa Inggris sebagai pengantar pada saat perkuliahan berlangsung. Akan tetapi, kurangnya informasi mengenai Program Information Technology menyebabkan kurangnya minat calon mahasiswa terhadap program tersebut. Oleh karena itu, penelitian ini bertujuan untuk membuat sebuah aplikasi chatbot yang dapat membantu user untuk memperoleh informasi-informasi terkait dengan Program Information Technology pada Jurusan Teknik Informatika, Universitas Surabaya. Chatbot yang dibangun hanya akan memproses pertanyaan dengan bahasa Inggris saja. Chatbot yang dibuat pada penelitian ini menggunakan pendekatan Natural Language Processing (NLP) untuk memproses pertanyaan yang disampaikan user dan untuk mendapatkan kata kunci dari informasi yang diinginkan user. Sistem akan melakukan pencarian informasi pada kamus informasi yang ada. Apabila informasi tidak ditemukan, maka sistem akan melakukan proses crawling untuk memperoleh informasi yang dibutuhkan user. Pada penelitian ini, validasi sistem dilakukan dengan dua metode yaitu cross validation dan user validation. Berdasarkan validasi dengan metode cross validation didapatkan akurasi sebesar 83,33%. User validation dilakukan dengan cara meminta 10 user untuk melakukan uji coba sistem dan didapatkan akurasi sebesar 76%.

SEMblog

2013 ◽  
pp. 210-223
Author(s):  
Azleena Mohd Kassim ◽  
Yu-N Cheah
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Human Intervention ◽  
Knowledge Based ◽  
Search Mechanism ◽  
Management Policies ◽  
Knowledge Identification

Information Technology (IT) is often employed to put knowledge management policies into operation. However, many of these tools require human intervention when it comes to deciding how the knowledge is to be managed. The Sematic Web may be an answer to this issue, but many Sematic Web tools are not readily available for the regular IT user. Another problem that arises is that typical efforts to apply or reuse knowledge via a search mechanism do not necessarily link to other pages that are relevant. Blogging systems appear to address some of these challenges but the browsing experience can be further enhanced by providing links to other relevant posts. In this chapter, the authors present a semantic blogging tool called SEMblog to identify, organize, and reuse knowledge based on the Sematic Web and ontologies. The SEMblog methodology brings together technologies such as Natural Language Processing (NLP), Sematic Web representations, and the ubiquity of the blogging environment to produce a more intuitive way to manage knowledge, especially in the areas of knowledge identification, organization, and reuse. Based on detailed comparisons with other similar systems, the uniqueness of SEMblog lies in its ability to automatically generate keywords and semantic links.

The War for Talent

2010 ◽  
Vol 2 (3) ◽  
pp. 26-36 ◽  
Author(s):  
Ricardo Colomo-Palacios ◽  
Marcos Ruano-Mayoral ◽  
Pedro Soto-Acosta ◽  
Ángel García-Crespo
Keyword(s):  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Relevant Information ◽  
Semantic Technologies ◽  
Production Of Knowledge ◽  
Software Artifacts ◽  
Knowledge Intensive ◽  
Processing Techniques

In current organizations, the importance of knowledge and competence is unquestionable. In Information Technology (IT) companies, which are, by definition, knowledge intensive, this importance is critical. In such organizations, the models of knowledge exploitation include specific processes and elements that drive the production of knowledge aimed at satisfying organizational objectives. However, competence evidence recollection is a highly intensive and time consuming task, which is the key point for this system. SeCEC-IT is a tool based on software artifacts that extracts relevant information using natural language processing techniques. It enables competence evidence detection by deducing competence facts from documents in an automated way. SeCEC-IT includes within its technological components such items as semantic technologies, natural language processing, and human resource communication standards (HR-XML).

scholarly journals LOCAL LANGUAGE KEYPAD: KEYBOARD BAHASA DAERAH BERBASIS SMARTPHONE SEBAGAI MEDIA PELESTARIAN BAHASA DAN SASTRA DAERAH

2021 ◽  
Vol 4 (2) ◽  
pp. 186-191
Author(s):  
Siti Alvi Sholikhatin ◽  
Cindy Magnolia ◽  
Reno Dermawan Mutiara Putra
Keyword(s):  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Foreign Languages ◽  
Cultural Characteristic ◽  
Regional Literature ◽  
Regional Language ◽  
Language And Literature ◽  
Regional Languages

The region language and region literature in Indonesia is priceless and must be preserved. Each region has a variety of languages from different groups and become a cultural characteristic of certain region. However, the era of globalization and the development of information technology threatens the existence and preservation of regional languages which is prone to be replaced. The lowering number of speakers and the invasion of foreign languages are the main indicators of the deterioration of the existence of regional languages and literature. One of the efforts to restore the passion of regional language and regional literature is to develop a regional language keyboard that is easy to use by users of all age. The main purpose of the development of regional language keyboards is to introduce regional languages, especially to the younger generation who are beginning to be exposed to globalization so that they tend to forget the language and literature of the region. The keyboard is built with a natural language processing and smartphone-based approach. The Technology Preparedness Level (TKT) is at level 6, which means a demonstration of a model or prototype of a system or subsystem in a relevant environment.

scholarly journals Perancangan Chatbot Menggunakan Dialogflow Natural Language Processing (Studi Kasus: Sistem Pemesanan pada Coffee Shop)

2020 ◽  
Vol 4 (1) ◽  
pp. 208
Author(s):  
Albert Yakobus Chandra ◽  
Didik Kurniawan ◽  
Rahmat Musa
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Information Services ◽  
Human Language ◽  
Coffee Shop ◽  
The Impact

Some cases that are often experienced at a particular institution such as Micro Enterprise are often a staff / employee in providing information services and transactions that are carried out manually to customers related to these business activities. This cycle always repeats from one customer to another. The impact if there are conditions where the queue of customer that is quite crowded than the workload of staff/employees will be higher and the risk of error in transactions will be high too. The development of information technology in artificial intelligence on 4.0 industry era is moving forward. One of them is Machine Learning - Natural Language Processing (NLP) which is one of the sciences that focuses on how computers can understand the human language and response to it. Therefor in this research a chatbot system will be builtin providing information and conducting transaction with the customers. This chatbot will be develop using the Dialogflow tools provided by Google. This Chatbot that was build expected to be an alternative that can be implemented in various bussines to provide better service for customers

scholarly journals Editorial for Vol.28, No.3

2021 ◽  
Vol 28 (3) ◽  
pp. i-ii
Keyword(s):  
Machine Learning ◽  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Software Testing ◽  
Language Processing ◽  
Business Management ◽  
Testing And Debugging ◽  
Regular Section

This third issue (September 2020) of CIT. Journal of Computing and Information Technology comprises four papers from the regular section, tackling topics from the areas of software testing and debugging, machine learning, natural language processing and business management processing.

The War for Talent

2012 ◽  
pp. 1-12 ◽  
Author(s):  
Ricardo Colomo-Palacios ◽  
Marcos Ruano-Mayoral ◽  
Pedro Soto-Acosta ◽  
Ángel García-Crespo
Keyword(s):  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Relevant Information ◽  
Semantic Technologies ◽  
Production Of Knowledge ◽  
Software Artifacts ◽  
Knowledge Intensive ◽  
Processing Techniques

In current organizations, the importance of knowledge and competence is unquestionable. In Information Technology (IT) companies, which are, by definition, knowledge intensive, this importance is critical. In such organizations, the models of knowledge exploitation include specific processes and elements that drive the production of knowledge aimed at satisfying organizational objectives. However, competence evidence recollection is a highly intensive and time consuming task, which is the key point for this system. SeCEC-IT is a tool based on software artifacts that extracts relevant information using natural language processing techniques. It enables competence evidence detection by deducing competence facts from documents in an automated way. SeCEC-IT includes within its technological components such items as semantic technologies, natural language processing, and human resource communication standards (HR-XML).

Identifying Competences in IT Professionals through Semantics

2012 ◽  
pp. 88-99
Author(s):  
Ricardo Colomo-Palacios ◽  
Marcos Ruano-Mayoral ◽  
Pedro Soto-Acosta ◽  
Ángel García-Crespo
Keyword(s):  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Relevant Information ◽  
Semantic Technologies ◽  
Production Of Knowledge ◽  
Software Artifacts ◽  
Knowledge Intensive ◽  
Processing Techniques

In current organizations, the importance of knowledge and competence is unquestionable. In Information Technology (IT) companies, which are, by definition, knowledge intensive, this importance is critical. In such organizations, the models of knowledge exploitation include specific processes and elements that drive the production of knowledge aimed at satisfying organizational objectives. However, competence evidence recollection is a highly intensive and time consuming task, which is the key point for this system. SeCEC-IT is a tool based on software artifacts that extracts relevant information using natural language processing techniques. It enables competence evidence detection by deducing competence facts from documents in an automated way. SeCEC-IT includes within its technological components such items as semantic technologies, natural language processing, and human resource communication standards (HR-XML).

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