The process of delivering manufactured products to the hands of consumers, technically the product flow that occurs ie products in the form of finished goods will move from the factory warehouse to the consumer through a series of channels and distribution facilities. This distribution starts from the finished goods warehouse, distribution warehouse, retailer up to the wearer. The existence of various parties involved and coordinate in the flow of products from the factory to the consumer will form a system known as the supply chain system (Pujawan, 2010). Providers of fast products and services, the right time, and the desired conditions while still providing an optimal contribution to the company. Obstacles that are often encountered in the implementation of supply chain is the lack of coordination in terms of sharing information between the chain, thus causing distortion of information and trigger the occurrence of bullwhip effect that is a spike from the actual demand in the consumer level or downstream chain resulting in a very sharp spike at a far level from the upstream consumer or chain. The result of the bullwhip effect is the excess inventory, because demand is much smaller than the demand of the retailers, the unorganized production schedule, the unutilized production facilities optimally, because the production plan still has a high level of speculation. The use of information systems that have not been effective, causing the flow of information to be distorted or distorted, resulting in chaos in the flow of products that occur bullwhip effect and indirectly affect the cash flow of the company. The final result of the research is the application of Web-based Information Sharing System on the distribution channel that can be used efficiently and can provide information deviations that occur between the chains. The hope of stock monitoring results can be used as a control in looking at stock inventory in distributors and retail, so if there is a bullwhip effect, it will appear warning and immediately addressed by the distributor.Keywords: information sharing system, bullwhip effect, distortion of information.

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The use of information technology is now so massive, that even reports on community activities have also used information technology. Online forms for reporting are widely used and very easy to create, with complete features. One of the products from Google is Google Forms. Starting from reservation, registration, data collection, reporting, and many activities of sending information and data can be done using this form online. The results of the data have also been presented in full, either in the form of sheets or graphic information, so that the manager or admin does not need to process it again. In the development of information needs, it turns out that the information needs from the google form are not only needed by managers or admins, but some parties need that information in real-time and do not have to log in as managers or admins, so technology is needed to distribute the data and information and processed or presented in a real-time reporting information system. In the google form, several tools have been provided such as Google APIs, Share to Sheet, CSV, etc. to share information with other parties. This study performs modeling in the design of web application architecture using real-time data from google forms based on CSV files and has been tested and produced an application model that can be pasted into other applications so that information from the google form can be conveyed without having to log in to the manager or admin of the google form.

Technology always has an impact on how products and services are designed. In recent years, there has been unprecedented growth in the web field. Therefore, it requires fast, reliable, attractive  development and powerful applications. One of them is a product from Google, namely google sheets. The results of the data can be presented in full either in the form of sheets or graphic information, so that managers or admins do not need to process anymore and later will be able to be monitored on a web-based app system that uses Progressive Web Application (PWA) technology. In the development of information needs, it turns out that information needs have become very complex both online and offline, even today's technology can combine the transaction process on the local information system synchronized to the information system and or online data. The implementation of Progressive Web Application (PWA) makes it possible to distribute information more easily. The results of this research obtained modeling, designing and implementing local applications with data synchronized to google sheet media, data on google sheets will be accessed by different applications online using Progressive Web Application (PWA). it is also proven that with the implementation of Progressive Web Application (PWA), data after being uploaded and cached can still be accessed even if the internet communication line is interrupted. Because the application will always read the cache that has contained data as long as it is not synchronized data.

Opinions are ideas, opinions, or the results of someone's subjective thoughts in explaining or addressing something. IST AKPRIND Yogyakarta provides comment and suggestion box facilities in the learning evaluation questionnaire. Opinions that have been collected can be used to determine the sentiment of the campus community. This sentiment information can be used in future campus development. The development of a system that can analyze sentiment automatically is designed by comparing the Naive Bayes Classifier (NBC) method and the support vector machine (SVM) optimized by selecting the Information Gain (IG) feature. Prior opinion data needs to be prepared before being analyzed. Preprocessing (text preprocessing) used includes: cleanning, text folding, normalization, stemming, stopword removal, convert negation, and tokenization. The results of this study show that the SVM method produces higher accuracy than NBC. The accuracy test shows the highest accuracy of SVM reaches 99.09% while NBC is 96.56%. The application of IG did not significantly affect the accuracy of the analysis. GI greatly influenced the analysis duration of the SVM method, which could shorten the time by 195.71%.