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Online gambling has the meaning of gambling that can be done through online platforms such as sites or online game applications that have the smell of gambling. With the convenience due to technological developments, it has also become easier for people to do online gambling. Online gambling as one of the negative technological developments in the electronics sector needs to be addressed from various angles because the impact is returned to its users, especially teenagers. The characteristics of adolescents who gamble online vary, so the purpose of this study is to describe the characteristics of adolescents who gamble online. The type of research used is quantitative research with a descriptive approach. The data collection used is to distribute a checklist of observations related to the description of the characteristics of online gambling. The results of the study of 30 respondents to the Characteristics of Online Gambling in Adolescents showed that the respondents who did online gambling on average graduated from high school as many as 18 respondents (60%), were male (93.3%), with an age range of at most 20 -22 years (66.7%), the type of gambling played is higgs domino (73.3%), and gambling using capital from their own work (93.3%). Many teenagers consider online gambling behavior normal.    

Technology has the potential to be employed within the realm of electronics and informatics, particularly for the purpose of securing household doors using a smartphone through an internet connection. The Internet of Things (IoT) embodies a concept where internet-enabled devices can communicate with each other and their surrounding objects. This endeavor seeks to create a prototype using key components, including NodeMCU Esp8266, Servo Motor, and Fingerprint Module, with the ultimate goal of simplifying daily tasks and alleviating concerns about leaving the door unlocked upon leaving the house. The mechanism of this device entails utilizing a smartphone app to establish an internet connection, enabling users to seamlessly close and lock their house door. The underlying intention behind developing this tool is to provide assistance in managing both indoor and outdoor activities, addressing the issue of inadvertently leaving the door unlocked, and substituting traditional door locks with fingerprint recognition. By employing this innovation, individuals can conveniently regulate their house door via smartphone, saving time and effort and seamlessly integrating it into their daily routines.

The smart city action plan for the city of Denpasar Bali includes: 1) human resources 2) nfrastructure, 3) applications, and 4) smart city literacy. Meanwhile, in building a smart city there are six pillars, namely smart governance, smart society, smart living, smart economy, smart environment, and smart branding. In 2020 Denpasar City ranks 1st Smart City with Surakarta in the framework of the movement program towards 100 Smart Cities Indonesia.The 2021 Electronic-Based Government System Index is 3.19 which is in the good category and is in the Top 5 RKCI that year.  The Denpasar Bali City Communication, Information and Statistics Service (Kominfos) has taken several steps to implement e-government in realizing a smart city. Some of these steps include building an e-gov portal, increasing accessibility, using the right technology, establishing partnerships with the private sector, developing mobile applications. By implementing e-gov and developing a smart city, the Denpasar-Bali City Communication and Informatics Agency is able to improve the quality of public services, facilitate public access to information and public services, and increase the efficiency and effectiveness of the performance of the Denpasar city government.  

Indonesia is one of the countries whose residents have started using the internet in conducting buying and selling business transactions, with the increasing number of internet users and online business transactions, a marketplace, Shopee, was born. Shopee is an online marketplace platform that is used to practice buying and selling goods actively and easily. The products offered by this application are very diverse, ranging from garments, cellphones, beauty products, electronics, sports instruments, medicines, home furnishings, office stationery to food and beverages. Shopee services are implemented in interactions between producers and consumers quickly, easily and precisely. The advantages of Shopee are not only online business transactions, but Shopee is also a source of employment which is quite large and easy to work on. The sales strategy carried out by Shopee is very good so that this makes sellers and buyers more comfortable in shopping. The Shopee application is very suitable to be used as a sales medium because the promotional features provided by Shopee are able to increase the seller's sales profit. From the explanation above, the Hyunbina Collection business has a marketing method to sell products to consumers, it is necessary to use the Shopee Marketplace Sales to increase sales of women's bags. Based on the background of these problems, the authors are interested in compiling a Final Project report with the title "The Effect of Utilizing the Shopee Application in Increasing Sales of Hyunbina Collection".

The rapid growth of e-commerce in Indonesia has generated a massive and continuous volume of product reviews. This user-generated content is vital for business intelligence, yet its sheer scale makes manual analysis inefficient, subjective, and practically impossible. Automated sentiment analysis is therefore crucial for businesses to efficiently understand customer feedback and market perception. This research addresses this gap by implementing the Naïve Bayes Classifier (NBC) algorithm to automatically classify the sentiment of Indonesian-language e-commerce product reviews. This study utilized a dataset of 2,000 reviews collected from a major e-commerce platform's "Electronics" category. The data underwent critical text preprocessing stages (case folding, tokenizing, stopword removal, and stemming using the Sastrawi library) to handle the complexities of informal Indonesian text. The dataset was split using an 80/20 ratio, resulting in 1,600 training reviews and 400 testing reviews. Model performance was then evaluated using a Confusion Matrix, focusing on the key metrics of Accuracy, Precision, and Recall. The test results showed excellent performance, achieving an Accuracy of 90.00%, Precision of 91.93%, and Recall of 95.00%. These results demonstrate that the Naïve Bayes algorithm, when supported by robust preprocessing, is a highly effective, reliable, and computationally efficient method for this task, providing a valuable tool for e-commerce stakeholders.