At present the development of the use of social media in Indonesia is very rapid, in Indonesia there are a variety of regional languages, one of which is the Sundanese language, where some people especially those living in West Java use Sundanese language to express comments, opinions, suggestions, criticisms and others in social media. This information can be used as valuable data for individuals or organizations in decision making. The huge amount of data makes it impossible for humans to read and analyze it manually. Sentiment analysis is the process of classifying opinions, analyzing, understanding, evaluating, emotions and attitudes towards a particular entity such as individuals, organizations, products or services, topics, events, in order to obtain information. The purpose of this research is the Na?ve Bayes Classifier (NBC) classification algorithm and Feature Chi Squared Statistics selection method can be used in Sundanese-language tweets sentiment analysis on Twitter social media into positive, negative and neutral categories. Chi Square Statistic feature test results can reduce irrelevant features in the Naïve Bayes Classifier classification process on Sundanese-language tweets with an accuracy of 78.48%.

The limited number of teaching aids is the general shortage of private schools due to the limited cost of procuring props for the PGM-FI sistem. The less interesting learning model is also a factor in the low value of students in certain subjects. Augmented Reality is a technology that develops in the world, combining two-dimensional or three-dimensional virtual objects into a real three-dimensional environment and then projecting these virtual objects in real time. in previous studies have introduced Augmented Reality Applications that still use markers. But the application still has limitations. The need for paper printing and sticking to the object to be studied. Through markerless technology other than without the need for paper printing and pasting. This application can further adjust the appearance of injection machines

A project consists of various types or work. Between one type of work with another type of work has a very close relationship. The types of work will show the scale or failure of a project. The more types of work to be done, the greater the scale of the project, and vice versa. The relationship between the type of work one with the other type of work on a large-scale project will be very complex, the smaller the scale, the relationship between types of work will be more simple. One of the construction companies in Gresik, namely CV. ANEKA JASA TEKNIK, applies the make to order strategy to respond to requests from consumers. That way, the company can send orders with quality and delivery time in accordance with the wishes of consumers. In this project the problem faced is how to forecast project work orders in the coming month. The data used in this study is work order data from January 2016 to April 2019. Data analysis uses the Autoregressive Integrated Moving Average (ARIMA) method. The tools used in this study are Minitab. The analysis obtained from calculations using the ARIMA model (1,1,1) and forecasting results until the month of October. The analysis results obtained from calculations using the ARIMA model (1,1,1) and forecasting results until October. Work order construction project is Zt = µ - 0,9647Zt-1 + at, Forecasting work order construction projects for the coming month, starting from January 2016 to April 2019 experiencing a gradual decline, comparison between work order forecast project construction not much different from the work order of the actual construction project.Output in the form of data prediction the number of work orders is displayed in the form of tables and graphs so that it is easy to understand.

Determine the best candidate in a company is something that is natural. There are several methods to determine the best candidate. One of them using the "Profile Matching" method. The method will rate employees from the highest to the lowest value, the assessment is carried out with several aspects of assessment which are categorized into two categories, namely core factors and scondary factors. Core factor is an assessment of the main factors in an assessment and the scondary factor is the supporting factors in an assessment. In weight determining the core factor and scondary factors greatly influence the results of the assessment. With the use of the "Profile Matching" method, it is expected that employee assessment can be maximized and provide results as expected. But in the calculation, there are several factors that are very influential so that the results obtained are unsuitable. Normal calculation using the Profile Matching method with standard values is the middle value produces the best candidate that is not appropriate. Requires modification of the weighting gap table so that the results produced can be maximized and appropriate.

At present, the world has entered the era of information-based competition. Information becomes a valuable asset for a business institution in winning business competition. At PT MNC Sky Vision Tbk is currently using an information system in the form of the use of computer equipment in carrying out its work activities, but in processing data on demand for goods currently in processing data is still less efficient, fast, accurate, and there are still errors in the monthly report, because when In the average daily demand for goods there are 10 requests, both departments / divisions and from branch offices namely KPP, KPD and KPU, which number around 46 departments / divisions and 75 branch offices, for the number of goods requested by the Demand Management Information System Web-Based Goods at PT. MNC Sky Vision Tbk. In one transaction, there were 8 types out of a total of 738 types of goods, so in the process of recapitulating data, demand for goods requires a long time either in adding data, changing data, deleting data and searching data for items needed in a month. Based on these problems, it is needed an application in processing demand data, especially office stationery (ATK) and other supporting operational activities of the office. In this study, the data collection method uses observation, interviews and literature studies. The application is compiled with the procedure of development stage which includes analysis of needs, making data flow diagrams, implementation using PHP as a programming language and MySql as the database. From the research conducted, a Web-based demand management information system software is produced, which can help in day-to-day office operations, namely data storage or data recap and also avoid losses due to human error.