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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

Penerapan Teknologi Augmented Reality Katalog Perumahan Sebagai Media Pemasaran Pada PT. San Esha Arthamas Yusra Fernando; Imam Ahmad; Arief Azmi; Rohmat Indra Borman
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.298

Abstract

PT. San Esha Arthamas is a company engaged in the sale of housing. In marketing its products other than social media, the company uses a housing catalog in the form of a book. However, with this method, people feel confused and less interested in knowing and looking at the products offered. To assist in marketing, the product to be attractive, the housing catalog augmented reality (AR) technology was developed as a marketing medium. AR is a technology that can combine real and virtual objects in 3D in realtime. This research produces an application that can display the types of houses and can perform marker scans by pointing the smartphone camera at the catologist book from various angles including: top, left and right side and back. In addition, users can see interior, exterior, can zoom in, zoom out and rotate. Based on the questionnaire, it shows that the application has an impact in helping marketing with the results that 93% of respondents said they "agree". Overall, based on beta testing, it shows an average value of 88%, when converted the application is included in the "Good" category.
Web Scraping for Summarization of Freelance Job Website using Vector Space Model Andi Nurkholis; Yusra Fernando; Faris Arkan Ans
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.663

Abstract

In the current era of digitalization, the internet is at the center of all lines of community activity, just like the field of work. Currently, many platforms provide job vacancies, especially for freelancers. To obtain this information, users usually need to open several websites to find information about suitable job vacancies. Web scraping offers a solution to overcome these problems. Based on research that has been done before, the BeautifulSoup and Selenium libraries will be used to collect data. To search for data, the vector space model method is used to find the level of data similarity between the query and the document. In exploring the data, the average perfect recall value is 100%, while the average precision value is 56%. This is because the data search uses three parameters, so the possibility of retrieving irrelevant data is more significant if the document contains a word in the user's query, even though the context does not match. Utilizing the Streamlit framework in Python can display the data processing results and help users navigate the web scraping process, data processing, and data search. This study aims to implement the web scraping method to retrieve data from freelance websites: Freelance, Project, and Sribulancer. By applying the vector space model method, users can search data from several websites without opening freelance websites one by one. Using data visualization in the form of a web application using the Streamlit framework, the web scraping results can also be processed to be presented in a more helpful form and save the user's time.