scholarly journals Word Search on the "SITUK" Application Using the Levenshtein Distance Algorithm

2021 ◽  
Vol 1 (2) ◽  
pp. 55-62
Author(s):  
I Gede Susrama Mas Diyasa ◽  
Kraugusteeliana ◽  
Gideon Setya Budiwitjaksono ◽  
Alfiatun Masrifah ◽  
Muhammad Rif'an Dzulqornain
Keyword(s):  
Integrated System ◽  
Assessment Process ◽  
Levenshtein Distance ◽  
Search System ◽  
Search Results ◽  
Certification Test ◽  
Approach Method ◽  
String Search ◽  
Word Search ◽  
Search Approach

Integrated System for Online Competency Certification Test (SITUK) is an application used to carry out the assessment process (competency certification) at LSP (Lembaga Sertifikasi Profesional) UPN (University of Pembangunan Nasional) “Veteran” Jawa Timur, each of which is followed by approximately five hundred (500) assessments. Thus the data stored is quite a lot, so to find data using a search system. Often, errors occur in entering keywords that are not standard spelling or typos. For example, the keyword "simple," even though the default spelling is "simple." Of course, the admin will get incomplete information, and even the admin fails to get information that matches the entered keywords. To overcome the problems experienced in conducting data searches on the SITUK application, we need a string search approach method to maximize the search results. One of the algorithms used is Levenshtein which can calculate the distance of difference between two strings. Implementation of the Levenshtein algorithm on the data search system in the SITUK application has been able to overcome the problem of misspelling keywords with the mechanism of adding, inserting, and deleting characters.

scholarly journals A Survey on Blockchain-Based Search Engines

2021 ◽  
Vol 11 (15) ◽  
pp. 7063
Author(s):  
Esmaeel Rezaee ◽  
Ali Mohammad Saghiri ◽  
Agostino Forestiero
Keyword(s):  
Search Engines ◽  
Research Field ◽  
The Internet ◽  
Context Aware ◽  
Search System ◽  
Search Results ◽  
Related Information ◽  
Research Article ◽  
Different Types ◽  
Search History

With the increasing growth of different types of data, search engines have become an essential tool on the Internet. Every day, billions of queries are run through few search engines with several privacy violations and monopoly problems. The blockchain, as a trending technology applied in various fields, including banking, IoT, education, etc., can be a beneficial alternative. Blockchain-based search engines, unlike monopolistic ones, do not have centralized controls. With a blockchain-based search system, no company can lay claims to user’s data or access search history and other related information. All these data will be encrypted and stored on a blockchain. Valuing users’ searches and paying them in return is another advantage of a blockchain-based search engine. Additionally, in smart environments, as a trending research field, blockchain-based search engines can provide context-aware and privacy-preserved search results. According to our research, few efforts have been made to develop blockchain use, which include studies generally in the early stages and few white papers. To the best of our knowledge, no research article has been published in this regard thus far. In this paper, a survey on blockchain-based search engines is provided. Additionally, we state that the blockchain is an essential paradigm for the search ecosystem by describing the advantages.

Employing a visualized searching system to assist elementary students’ tactics and success of storybook searching

2017 ◽  
Vol 41 (3) ◽  
pp. 412-427
Author(s):  
Po-Yao Chao ◽  
Chia-Ching Lin ◽  
Ming-Shiang Wu
Keyword(s):  
Elementary Students ◽  
Control Group ◽  
Search System ◽  
Content Type ◽  
Dependent Variables ◽  
Quasi Experimental ◽  
Keyword Searching ◽  
Search Approach ◽  
Reading Activities ◽  
Experimental Group

Purpose The purpose of this paper is twofold: first, to develop a visualized search system utilizing graphical images to represent the story elements and concepts to help elementary students describe and seek their desired storybooks; and second, to explore the effect of the proposed visualized search system on elementary students’ tactics, success, and motivation for seeking storybooks. Design/methodology/approach A quasi-experimental approach was conducted with a sample of 61 elementary students in this study. The students’ tactics, motivation and the success of their storybook searching were addressed as dependent variables for further comparisons of the visualized searching system and a conventional keyword searching system. Findings The results revealed that the students in the experimental group exhibited more frequent tactics and greater motivation for storybook searching than those in the control group. Further χ2 analysis indicated a significant relationship between the searching interface and the success of the students’ storybook searching. Originality/value This paper proposes a new visual search approach which allows young children to search for storybooks by describing an intended storybook in terms of its characters, objects, or the background colors of the cover page. The findings provide some evidence of the effectiveness of the visualized searching interface in terms of promoting young children’s learning through storybook searching and reading activities.

scholarly journals Analisis Penerapan Google Custom Search API pada Sistem Pencarian Data

2021 ◽  
Vol 1 (1) ◽  
pp. 29-35
Author(s):  
Ismail Majid
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Important Application ◽  
Search Method ◽  
Online Information ◽  
Test Results ◽  
Search System ◽  
Search Results ◽  
Information Media

Abstrak Sistem Pencarian merupakan aplikasi penting diterapkan pada sebuah media informasi online, namun sejak hadirnya mesin pencari seperti Google orang lebih suka menggunakan alat ini untuk menemukan informasi. Karena metode pencarian yang digunakan terbukti keandalannya. Apakah kita mampu seperti itu? Penelitian ini membuktikan bahwa dengan menerapkan metode Google Custom Search API, kita dapat membangun sistem pencarian layaknya seperti mesin pencari Google, hasil pengujian menunjukkan hasil pencarian yang ditampilkan sangat relevan dan rata-rata berada pada peringkat pertama. Keuntungan lainnya metode ini dilengkapi koreksi ejaan salah untuk menyempurnakan kata kunci sebenarnya.   Abstract Search system is an important application applied to an online information media, but since the presence of search engines like Google, people prefer to use this tool to find information. Because the search method used is proven to be reliable. Are we able to be like that? This research proves that by implementing the Google Custom Search API method, we can build a search system like Google's search engine, the test results show that the search results displayed are very relevant and on average are ranked first. Another advantage of this method is that it includes incorrect spelling corrections to perfect the actual keywords.

scholarly journals Kombinasi Algoritma Brute Force dan Stemming pada Sistem Pencarian Mashdar

2020 ◽  
Vol 5 (2) ◽  
pp. 273
Author(s):  
Rozzi Kesuma Dinata ◽  
Safwandi Safwandi ◽  
Novia Hasdyna ◽  
Rudi Mahendra
Keyword(s):  
Test Sample ◽  
Brute Force ◽  
Search System ◽  
Word Search

In this study Brute Force and Stemming algorithms are combined in the mashdar word search system. The purpose of this study is to facilitate the user in finding the basic words of a word along with its changes based on the review of basic words to mashdar. The data used in this study were obtained from 50 books of Tashrif by Sheikh Hasan bin Ahmad. The results of the study by combining brute force and stemming algorithms in mashdar search with a test sample of 15 words obtained an accuracy value of 78.9%, 86.6% precission, 84.6% recall and 66.6% specificity.

scholarly journals Corporate governance and intellectual capital disclosure

2016 ◽  
Vol 13 (2) ◽  
pp. 250-261 ◽  
Author(s):  
Rosalind H. Whiting ◽  
Georgia Y. Birch
Keyword(s):  
Corporate Governance ◽  
Intellectual Capital ◽  
Voluntary Disclosure ◽  
Statistical Testing ◽  
Annual Reports ◽  
Independent Directors ◽  
Board Committees ◽  
Big 4 ◽  
Word Search ◽  
Search Approach

This study examines whether facets of corporate governance (board size, proportion of independent directors on the board, board committees, and Big 4 auditor) promote the voluntary disclosure of intellectual capital in annual reports in Australia and New Zealand and whether this is country dependent. Data was collected from OSIRIS and annual reports with disclosure detected through a rigorous electronic word search approach. Statistical testing with OLS regression followed. The presence of nomination committees and a majority of independent directors on the board were found to be significant positive predictors of intellectual capital disclosure in both countries, and larger board sizes in Australian companies enhanced intellectual capital disclosure. These results concur with resource dependency and stakeholder theoretical arguments.

Clustering of the Web Search Results in Educational Recommender Systems

2012 ◽  
pp. 154-181 ◽  
Author(s):  
Constanta-Nicoleta Bodea ◽  
Maria-Iuliana Dascalu ◽  
Adina Lipai
Keyword(s):  
Recommender Systems ◽  
Clustering Algorithm ◽  
Web Search ◽  
Web Pages ◽  
Lexical Database ◽  
Assessment Task ◽  
Search Results ◽  
Meta Search ◽  
Search Approach ◽  
The Web

This chapter presents a meta-search approach, meant to deliver bibliography from the internet, according to trainees’ results obtained at an e-assessment task. The bibliography consists of web pages related to the knowledge gaps of the trainees. The meta-search engine is part of an education recommender system, attached to an e-assessment application for project management knowledge. Meta-search means that, for a specific query (or mistake made by the trainee), several search mechanisms for suitable bibliography (further reading) could be applied. The lists of results delivered by the standard search mechanisms are used to build thematically homogenous groups using an ontology-based clustering algorithm. The clustering process uses an educational ontology and WordNet lexical database to create its categories. The research is presented in the context of recommender systems and their various applications to the education domain.

GSSP – A Generic Semantic Search Platform

2015 ◽  
pp. 220-239
Author(s):  
Sara Paiva ◽  
Manuel Ramos-Cabrer ◽  
Alberto Gil-Solla
Keyword(s):  
Quality Management ◽  
Search Engines ◽  
Management System ◽  
Quality Management System ◽  
Semantic Search ◽  
Search System ◽  
Search Results ◽  
Ongoing Work ◽  
Specific Goal

Semantic search has been rapidly growing as a way to improve search results. The meaning of the input expression has revealed to produce better results than the traditional keyword appearance. Regarding search engines, there are currently several proposals but all of them are already implemented to a specific goal. We find important to develop a generic semantic search system so it rapidly be adapted to any system and domain that has search needs. This work introduces GSSP, a generic semantic search platform proposal. We present the platform and the several steps that need to be followed in order for the platform to be used. We also provide the ongoing work that is being done to apply GSSP to a Quality Management System.

scholarly journals DEVELOPMENT OF APPRAISAL SYSTEM TO IMPROVE MILITARY OFFICERS PERFORMANCE ASSESSMENT PROCESS

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 18
Author(s):  
Wahyudi Agustiono
Keyword(s):  
Development Process ◽  
Employee Performance ◽  
Assessment Process ◽  
Appraisal System ◽  
Military Organization ◽  
Unique Nature ◽  
Approach Method ◽  
Waterfall Model ◽  
And Control ◽  
The Military

This paper at hand is aimed at describing the experience of developing a decision support system used for assessing employee performance. Taking into account the distinctive nature of the military organization that is rigorous, traditional, hierarchical, controlled, bureaucratic, and conservative; this study shows the complexity and challenges when it comes to design and developing the appraisal system. In view of the unique nature of the military organization in performing the appraisal process, this study sought various methods and techniques that could guide the development process. The experimental results suggest how the waterfall model was useful to guide the development process. In developing the appraisal system, this study shows how the Simple Multi-Attribute Rating Technique (SMART) and Representation Operation Memory and Control aids (ROMC) are useful conception. Finally, this study concludes how the selection appropriate approach, method and techniques contribute is critical to successfully the development of appraisal system, especially in a military organization that is considered as unique

Based on The Document-Link and Time-Clue Relationships Between Blog Posts to Improve the Performance of Google Blog Search

2019 ◽  
Vol 15 (1) ◽  
pp. 52-75
Author(s):  
Lin-Chih Chen
Keyword(s):  
Search Engine ◽  
High Performance ◽  
Semantic Analysis ◽  
Analysis Model ◽  
Search System ◽  
Semantic Relationships ◽  
Search Results ◽  
General Search ◽  
Discussion Topic ◽  
Blog Posts

Both the blog search engine and the general search engine automatically crawl the pages from the web and produce relevant search results based on the user's query. The first difference between the two types is that the blog search engine focuses on dealing with blog posts and filters out other types of pages. This difference allows bloggers only to care about posts rather than all pages that are indexed by general search engines. The second difference is the post, considering more time-related issues compared to the page. The semantic analysis model is widely used to analyze the various semantic relationships that may arise in the document. In this article, the authors propose a new semantic analysis model to find possible time relationships between posts. The main contribution of this paper has two points: first is that this paper builds a high-performance search system that considers the discussion topic and updated time between posts; second, is that the authors consider the time relationships between posts that can rank the relevant blog topics based on the popularity of the posts.

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