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Journal : PELS (Procedia of Engineering and Life Science)

E-Commerce Information System Design in Web-Based UD Anggun Shoe Store Billy Al Ghazian Ramadhan Akbar; Ika Ratna Indra Astutik
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1299

Abstract

E-commerce or online shopping is a concept that is quite developed in the internet world. The use of this system can benefit many aspects, including consumers, producers, and sellers. The information system is a combination of work procedures, information, staffing, and information technology that is organized to achieve organizational goals. Information systems have become an urgent need in all areas of life including business. One ofthe companies engaged in trading, namely the Anggun Shoe Store, really needs information system technology that provides sales data recap functions and sales profit reports because consumers have difficulty getting detailed information on product specifications offered and employees find it difficult to offer products sold to consumers outside the city. Web-Based E-Commerce Information System Design (Anggun Shoe Store). An information system is needed by this company as well as other companies that run a similar business model, to facilitate sales reporting sothat their business can be measured. This system also makes it easier for business owners to view daily sales reports so they can determine marketing strategies for the future.
Sentiment Analysis of OYO App Reviews Using the Support Vector Machine Algorithm Zaenal Zaenal; Ika Ratna Indra Astutik
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1338

Abstract

The rapidly growing tourism industry causes the need for hotels to increase. This has led to innovation in the form of virtual hotel operators, one of which is OYO. OYO is a VHO application with the highest rating found on the Google playstore. OYO is one of the applications with millions of users. Of course, this cannot be separated from the ratings and reviews from users. The reviews contained in the playstore itself can contain positive, neutral or even negative opinions. Given the importance of user reviews to application development, this research classifies reviews on the OYO application to determine user sentiment. In this study, the data used is 2,000 data which will be classified into positive, neutral and negative sentiments. The Support vector machine algorithm was chosen because it is capable of producing high accuracy. Based on testing, the Radial basis function kernel is able to produce the highest accuracy among other kernels and by using a dataset division ratio of 80:20 the accuracy obtained is 78.98%. While testing using the Confusion matrix produces an accuracy of 80.36%.