Desain sistem jasa titip berbasis e-commerce untuk memudahkan para penyedia jasa titip kue

The development of information technology today is very rapid , especially the internet.This happens because of the increasing technology that needed by human beings where technology has an important role for the general public .Especially online business , which is to buy and sell products anywhere and everywhere.It called "jasa titip".{"Jasa Titip" is a job by someone in a sale and purchase of a product where the product does not have an online store so that the consumer must buy through the person. .{0"Jasa Titip" ususally just create a personal account on instagram .This case sometimes makes the consumer has a little trouble because they still have to look for suitable "jasa titip".Based on these problems, thus the solution related to the design process for e-commerce applications and the application of e-commerce to facilitate the "jasa titip" creators and consumers at the time of transactions whenever and wherever they are.Prototype design of this application can facilitate "jasa titip" creators and customers more when conducting transactions with e-commerce application design and user interface design that is responsive. Moreover, the prototype design of this "jasa titip" application can be implemented in the browser and also mobile

Sentiment Analysis of Community Response Indonesia Against Covid-19 on Twitter Based on Negation Handling

The use of the internet globally, especially on the use of social media, includes Indonesia as one of the most active users in the world. The amount of information that can be obtained can be used to be processed into useful information, for example, information about the public sentiment on a particular topic. Tracking and analyzing tweets can be a method to find out people's thoughts, behavior, and reactions regarding the impact of Covid-19. The key to sentiment analysis is the determination of polarity, which determines whether the sentiment is positive or negative. The word negation in a sentence can change the polarity of the sentence so that if it is not handled properly it will affect the performance of the sentiment classification. In this study, the implementation of negation handling on sentiment analysis of Indonesian people's opinions regarding COVID-19 on Twitter has proven to be good enough to improve the performance of the classifier. Accuracy results obtained are 59.6% compared to adding negation handling accuracy obtained is 59.1%. Although the percentage result is not high, documents that include negative sentences have more meaning than negative sentences. However, for the evaluation using the MCC evaluation matrix, the results were quite good for the testing data. For the results of the proposed method whether it is suitable for data that has two classes or three classes when viewed from the results of the evaluation matrix, the proposed method is more suitable for binary data or data that has only two classes