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

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.

The development of information that continues to develop causes an explosion of information which certainly has a very complex impact on information storage management. This also impacts on companies that have several data that continues to grow every day. Therefore, there is a needs to have a search engine algorithm that can do a search system quickly with the development of information that continues to increase every day. Search engine applications or search engines in a computer system make it easy for users to find a variety of information. To facilitate its use, search engines add search features or better known as word suggestion, which in designing this application requires string matching algorithms that can be used to solve these problems. Many strings matching algorithms are available and therefore, the need for an analysis of the search algorithm to be able to help determine which search system is appropriate for use in word suggestion search. The result comparing brute force and boyer moore algorithm, it was found that as much as 79.05% showed that the Boyer Moore algorithm has a better time efficiency compared to the Brute Force.


2020 ◽  
Vol 7 (2) ◽  
pp. 264
Author(s):  
Lisa Wardani

For some people batik is only a cloth that is a characteristic of Indonesia, especially the area of Java, but not everyone knows that every motif on batik cloth has its own philosophical meaning where each meaning is closely related to human life. As the people of Indonesia it helps us to know the meaning behind the beauty of batik motifs, but not everyone knows the name of batik motifs and can search for meaning on the internet or what we often call browsing. The solution that can be done is to create an Android-based batik meaning search system that can provide convenience in searching for the meaning of batik motifs. Search is designed in an application that helps word search using string matching, the Galil Seiferas search algorithm. With the implementation of Seiferas Galil Algorithm on the Android-based batik meaning search system, it is expected to be able to carry out the right search process in displaying the meaning of batik motifs as well as being easier and faster. The system built is also very practical because it is based on Android, so it can make it easier for users to access anywhere


Author(s):  
I Gede Susrama Mas Diyasa ◽  
Kraugusteeliana ◽  
Gideon Setya Budiwitjaksono ◽  
Alfiatun Masrifah ◽  
Muhammad Rif'an Dzulqornain

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.


1992 ◽  
Vol 67 (01) ◽  
pp. 046-049 ◽  
Author(s):  
H A Guglielmone ◽  
M A Vides

SummaryA simple and fast method for the quantitative determination of protein C activity in plasma is here described. The first step consists in the conversion of protein C in the test sample into activated protein C by means of an activator isolated from Southern Copperhead venom. Subsequently, the degradation of factor Va, in presence of protein C-deficient plasma, is measured by the prolongation of the prothrombin time which is proportional to the amount of protein C in the sample. The dose-response curve showed a linear relationship from 6 to 150% protein C activity and the inter- and intra-assay reproducibility was 3.5% and 5.6% respectively. In normal subjects, a mean of protein C level of 98 ± 15% of normal pooled plasma was found. Comparison with the anticoagulant assay in samples of patients with oral anticoagulant, liver cirrhosis, disseminated intravascular coagulation and severe preeclampsia revealed an excellent correlation (r = 0.94, p <0.001). Also, a similar correlation (r = 0.93, p <0.001) existed between amidolytic assay and the method here proposed for all the samples studied without including the oral anticoagulant group. These results allowed us to infer that this method evaluates the ability of protein C to interact with protein S, phospholipids, calcium ions and factor Va.


TAPPI Journal ◽  
2009 ◽  
Vol 8 (6) ◽  
pp. 24-28
Author(s):  
CORY JAY WILSON ◽  
BENJAMIN FRANK

TAPPI test T811 is the specified method to ascertain ECT relative to box manufacturer’s certification compliance of corrugated fiberboard under Rule 41/ Alternate Item 222. T811 test sample heights were derived from typical board constructions at the time of the test method’s initial development. New, smaller flute sizes have since been developed, and the use of lighter weight boards has become more common. The T811 test method includes sample specifications for typical A-flute, B-flute, and C-flute singlewall (and doublewall and triplewall) structures, but not for newer thinner E-flute or F-flute structures. This research explores the relationship of ECT sample height to measured compressive load, in an effort to determine valid E-flute and F-flute ECT sample heights for use with the T811 method. Through this process, it identifies challenges present in our use of current ECT test methods as a measure of intrinsic compressive strength for smaller flute structures. The data does not support the use of TAPPI T 811 for ECT measurement for E and F flute structures, and demonstrates inconsistencies with current height specifi-cations for some lightweight B flute.


1997 ◽  
Author(s):  
Khadijah A. Murtada
Keyword(s):  

Author(s):  
К. Жукова ◽  
K. Zhukova ◽  
С. Ляшева ◽  
S. Lyasheva ◽  
Михаил Шлеймович ◽  
...  
Keyword(s):  

2020 ◽  
Vol 11 (2) ◽  
pp. 73-82
Author(s):  
А. Trubnikova ◽  
О. Chabanova ◽  
S. Bondar ◽  
Т. Sharakhmatova ◽  
Т. Nedobijchuk

Optimization of the formulation of synbiotic yogurt ice cream low-lactose using lactose-free protein concentrate of buttermilk and yogurt with low lactose content is the goal of expanding the range of low-lactose dairy products and improving the functional and health properties of ice cream. Low-lactose ice cream formulation optimization was performed using a gradient numerical method, namely conjugated gradients (Conjugate Gradient). The optimization algorithm is implemented in Mathcad. An array of data with a set of indicators for the choice of a rational ratio of lactose-free protein concentrate of buttermilk and yogurt base and inulin content for ice cream mixtures is presented. The influence of the ratio of the main components of the mixtures on the foaming ability, which determines the quality of the finished product, has been studied. An important indicator is taken into account - the concentration factor of buttermilk, which is additionally purified from lactose by diafiltration. The graphic material presented in the work clearly demonstrates that the rational ratio of yogurt base and lactose-free protein concentrate of buttermilk, obtained by ultrafiltration with diafiltration purification at a concentration factor of FC = 5 is 40.6: 59.4. The content of additional components included in the recipe of a new type of ice cream is optimized in the work, the mass fractions of which were: inulin - 3.69 %; lactulose – 1 %; ginger - 0.3 %; citric acid - 0.15 %; stabilization system - 0.2 %. The chemical composition and quality indicators of the mixture for ice cream low-lactose synbiotic yogurt, consisting of raw materials in the optimal ratio, were determined. The lactose content in the test sample of the ice cream mixture was 0.99%, the antioxidant activity was 3.1 times higher than in the mixture for traditional yogurt ice cream. The most likely number of lactic acid microorganisms, CFU / cm3 is (2.8 ± 0.9) · 108, the number of bifidobacteria, CFU / cm3 is (2.5 ± 0.2) · 109. The results of the research will be implemented in dairy companies in the production of ice cream.


2017 ◽  
Vol 8 (2) ◽  
Author(s):  
Andreas Budiman ◽  
Dennis Gunawan ◽  
Seng Hansun

Plagiarism is a behavior that causes violence of copyrights. Survey shows 55% of college presidents say that plagiarism in students’ papers has increased over the past 10 years. Therefore, an application for detecting plagiarism is needed, especially for teachers. This plagiarism checker application is made by using Visual C# 2010. The plagiarism checker uses hamming distance algorithm for matching line code of the source code. This algorithm works by matching the same length string of the code programs. Thus, it needs brute will be matched with hamming distance. Another important thing for detecting plagiarism is the preprocessing, which is used to help the algorithm for detecting plagiarized source code. This paper shows that the application works good in detecting plagiarism, the hamming distance algorithm and brute force algorithm works better than levenstein distance algorithm for detecting structural type of plagiarism and this thesis also shows that the preprocessing could help the application to increase its percentage and its accuracy. Index Terms—Brute Force, Hamming Distance, Plagiarisme, Preprocessing.


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