Shallot is a horticultural commodity classified as vegetable spices that serve as a seasoning for food and traditional medicine. The importance of shallot for cooking makes the demand for shallot continue to increase every year. This research aims to see what factors influence the demand for shallot in Medan City. This research was conducted in Medan Deli Market and Kemiri Market. Sampling used this research used the Accidental Sampling method, which determines the sample based on people who are accidentally encountered in the study area. The number of samples examined in this research is 40 samples of shallot consumers. This research uses Best Linear Unbiased Estimation and Multiple Linear Regression methods. The variables studied were the price of shallot, the income of consumers, the number of family members and the price of yellow onion. The result of this research indicates that the factor that influences the demand for shallot is the price of shallot, the income of consumers and the number of family members, while those that do not affect is the price of yellow onion.

MyTelkomsel is a service in the form of an application that can be accessed by mobile which was launched by Telkomsel to make it easier for its customers, where the application is in the form of self service for its users. However, the MyTelkomsel application still gets several complaints from its users, such complaints as failure in the login process, failure in the process of making payments/transactions, the types of packages offered on each user's device are different and sometimes do not match the customer's budget, as well as some comments from users. regarding customer service that makes them dissatisfied. The purpose of this research is to determine whether there is an effect of e-service quality on user loyalty in the MyTelkomsel application. In this research, the model used is E-Service Quality. Methods of collecting data in this research, using online questionnaires to MyTelkomsel user respondents through the assistance of social media for the dissemination process. The sample used in this research was 50 respondents from MyTelkomsel application users. The type of sampling technique used in this research is random sampling. For the data analysis process from this research using the SmartPLS and SPSS applications. The results of the research indicate that e-service quality has a significant influence on customer loyalty in the MyTelkomsel application

Horticulture is part of the agricultural sector which has received quite a lot of attention by the government to continue to be developed. Shallots are horticultural crops that are currently widely grown in Indonesia and have high economic value and demand. The development of shallot farming is basically aimed at increasing the productivity and welfare of farmers. However, shallot cultivation does not fully provide maximum benefits for farmers. This happens because of the risk in the implementation of onion farming. The risk factors that occur are production risk and shallot price risk. Production and price risks will reduce the income of shallot farming so that the household income of farmers decreases. Therefore, agricultural development through increasing productivity must be in line with the handling of the risks faced. The research area was determined purposively, namely in Liang Pematang Village, Sinembah Tanjung Muda Hulu District, Deli Serdang Regency, with the consideration that the area is one of the shallot production centers in Deli Serdang Regency. The sample in this study were farmers who were working on shallots in the research area. The samples taken were 30 shallot farmers. Farming risk level analysis using Failure Mode and Effect Analysis (FMEA). From the results of the study, it is known that the characteristics of shallot farmers are farmers of productive age and the dominant education is quite high at the high school level. Most farmers own more than 2,000 m2 of land, and have been farming for more than 10 years and the land used is their own land. The risks faced in shallot farming based on severity from the highest to the lowest are the selling price of shallots, fertilizer prices, weather conditions, Pest attacks, availability of seeds, diseases and labor.

The LRT is a sustainable fast transportation system, which was built to overcome the congestion problem in the city of Palembang. In order to attract people's interest to switch to using public transportation compared to private transportation, one of them is by improving the quality of services provided. Sentiment analysis is used to classify positive and negative opinions on users of Palembang City LRT transportation services. In addition to retrieving data through crawling data on tweet data, the researchers also distributed questionnaires. In conducting the classification process of sentiment analysis, this study uses the Improved K-Nearest Neighbor method which is a modification of the K-Nearest Neighbor method. The results of this research are testing and training data on 1617 data records and the highest accuracy of 74.07% on 90% training data and 10% testing data, with 70% precision, 56% recall and 59% f-1 score, while the lowest accuracy with an accuracy of 63.04% on 50% training data and 50% testing data, with 44% precision, 42% recall and 42% f-1 score