Some reflections will be presented on diabetes mellitus, which is a very common chronic disease in daily life due to different causes where diet and sedentary lifestyle directly influence. Considering these analyzes, the proposal of this work is to ensure that readers are able to know, interpret, disseminate and in many cases recommend preventive measures that help improve the physical and mental health of readers, and citizens, with this it would be achieved the best quality of life in society. The disease flourishes when the pancreas does not secrete enough insulin or when the body does not use the insulin it produces effectively. The effect of uncontrolled diabetes is hyperglycemia or high blood glucose). Over time, this disease seriously damages many organs of the human body, mainly the nervous system and blood vessels. They achieve a healthy body and mind at the present time that humanity is engaged in eradicating the viruses that have affected the world population, which would provide a healthy development for humanity.

Humanity has been on its way accompanied by epidemics, as man has evolved, he has faced different problems that have affected most of society. In the last 50 years, more viruses have appeared that have affected different regions and multiple countries; but one of the most distributed worldwide is COVID-19. The objective is to offer some information related to this pandemic and its evolution in different countries. The bibliographic review method was used even though some bibliographies are very recent, but it has allowed us to know their behavior and follow-up. The results of the countries most affected by this pandemic are shown, where it could be said that Italy has increasingly affected all of them and some countries in Asia, the United States, Latin America, and the Caribbean have been the most affected.

The Cultural View of North Bali Community towards Ngidih Marriage Reflected from Its Lexicons

Article searching is the process to find the appropriate article based on user description or keywords. For the traditional article searching, user types keywords then press the button and the result presents, but unfortunately the process needs more time and the search result is not accurate based on user keywords. Query suggestion makes it easy to search the data without submitting the data in a traditional way. There are several methods that can be used in query suggestion thus it is necessary to know which method should be used. This paper describes the comparison between MySQL pattern matching and Jaccard similarity for query suggestion with the parameters, they are processing time, the proximity of keywords with the suggestion, the proximity ratings and sorted from nearest data, the strength of data retrieval based on the number of words entered, and the strength of data retrieval from a number of data that can be suggested. MySQL pattern matching and Jaccard similarity can be used as query suggestion with the processing time is 2.5 milliseconds for MySQL pattern matching and 7 milliseconds for Jaccard similarity with 492 articles. Query suggestion using MySQL pattern matching takes an average of 1.8 milliseconds for 100 articles, 2 milliseconds for 200 articles, 2.175 milliseconds for 300 articles, while Jaccard similarity 3.175 milliseconds for 100 articles, 4.025 milliseconds for 200 articles, 5.05 milliseconds for 300 articles. Proximity ratings for MySQL Pattern Matching cannot be calculated since there is no counting process, but in Jaccard similarity the system displays 0.8 for jaccard index and display 1 for jaccard index if the keywords are 100% similar to the data on database. The result of this study is Jaccard similarity query suggestion produces more accurate search result but has a longer processing time than MySQL pattern matching.

This research is a continuation of previous research. At this time search information through online media is something that is commonly used by many people. Search information through online media grows by providing search suggestions. Search suggestions can be either pre-stored keywords in the browser or by using reference data from the database. Dynamic query suggestions are a feature that is widely applied to information search websites. Some methods that can be used in query suggestion are MySQL Pattern Matching, MySQL Fulltext Index, Levenshtein Distance and Jaccard Similarity. All of these methods are compared in terms of processing time, proximity of data search by suggestion, calculation of data proximity rank and sorted from nearest data, search data based on number of words entered, amount of data that can be suggested. From a simple concept of dynamic query suggestion, we need to know which method is better used in dynamic query suggestion. Dynamic query suggestion method is implemented in the form of article website using PHP programming language, MySQL database, responsive web design and also use AJAX as data retrieval technique. Comparison of Jaccard similarity, MySQL pattern matching, Levenshtein distance and MySQL Fulltext Index with process time comparison parameters, proximity of data search by suggestion, calculate the proximity rank of data and sorted from the nearest data, search data based on the number of words entered, amount of data that can be suggested indicates the MySQL pattern matching is the fastest method for query suggestion but less accurate for suggestions, MySQL Fulltext Index provides more accurate search suggestions than other methods and requires less processing time. Jaccard similarity method has a fairly good accuracy but requires more processing time. The Levenshtein distance method is a less precise method used for query suggestion because it is less accurate for suggestions and also requires considerable time.