Open AccessWeb Service for Search Engine Bahasa Indonesia (SEBI)
Author(s) -
Husni,
Ika Oktavia Suzanti,
Yoga Dwitya Pramudita,
Sigit Susanto Putro,
Lukman Heryawan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1569/2/022087
Subject(s) - computer science , world wide web , architecture , the internet , service (business) , indonesian , soap , database , business , marketing , art , linguistics , philosophy , visual arts
The purpose of this research is to produce an Indonesian language search engine (SEBI) that is in accordance with the objectives of the 2016 KKNI-based curriculum. SEBI 2017 is one of the complete search engines that is able to collect web pages from the internet, do preprocessing, build indexes, handle query and categorize documents. SEBI 2017, as a prototype has shortcomings, namely time and access. Based on this, the researchers built a new architecture called the SEBI API (2018). In the SEBI API architecture (2018), the ease and breadth of access, as well as the integration of data from various applications and different owners. RESTful API added to SEBI allows SEBI to be accessed from various access devices using various programming languages, libraries or frameworks that support REST API client (consumer) functions. Broadly speaking, the 2018 SEBI architecture has been equipped with RESTful API (provider) and client (consumer) functions. After testing by entering keywords, the results show that the SEBI API architecture (2018) has been able to correct the weaknesses contained in the SEBI architecture (2017)