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All Journal JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi bit-Tech Budimas : Jurnal Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Jurnal Ilmiah Teknologi Informasi dan Robotika Jurnal ADAM : Jurnal Pengabdian Masyarakat Journal Of Information System And Artificial Intelligence Jurnal Pengabdian Kepada Masyarakat Radisi
Putry Wahyu Setyaningsih
Universitas Mercu Buana Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences Other

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Journal : Journal Of Information System And Artificial Intelligence

 1 
Analisis Komentar Pada Twitter Terhadap Lapangan Kerja Dengan Metode Naïve Bayes Rizky Kurnia Pratama; Putry Wahyu Setyaningsih
Journal Of Information System And Artificial Intelligence Vol. 3 No. 2 (2023): Vol. 3 No. 2 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v3i2.129

Abstract

The Covid pandemic has had an impact on the economy of a country, especially Indonesia. The impact on the economic sector is the employment sector. The issue of employment on Twitter began to emerge when in 2020 last December when the corona began to enter Indonesia so that a wave of layoffs occurred. Indonesian people then use the media channel, namely twitter to comment about their condition. Twitter is one of the internet media channels created for social networking and a means of self-expression so that users who use Twitter will get their own satisfaction. This study tries to provide a perspective on an analysis of comments on Twitter related to employment during the COVID-19 pandemic. The analysis is carried out using the Orange application, the process is carried out through the stages of preprocessing, transformation, filtering, tokenizing, and normalization. The next stage is automatic labeling using the Vader method, classification using the naive Bayes method and weighting using the TF-IDF method and calculations from the orange data mining application which are represented by the results of the extended confusion matrix. The data that the author analyzes according to the orange application is 3929 tweet data from 22-30 August 2021 by utilizing the Twitter Web Crawling API. The results of the orange data mining application show that the accuracy with Naive Bayes is close to the perfect number, which is 99% with the number of sentiments in the community as much as 25% positive, 11% negative and 64% neutral.
Sistem Informasi Inventaris Berbasis Visual Basic.Net Pada Prodi Informatika ITB AAS Indonesia Siti Rokhmah; Putry Wahyu Setyaningsih; Muhammad Ausathul Fikri
Journal Of Information System And Artificial Intelligence Vol. 3 No. 2 (2023): Vol. 3 No. 2 (2023): Journal of Information System and Artificial Intelligence
Publisher : Universitas Mercu Buana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26486/jisai.v3i2.202

Abstract

Inventory management is very important for managing and optimizing the sources and quantity of goods owned by the Informatics study program. To improve good inventory management in the Informatics study program of Institut Teknologi Bisnis AAS (ITB AAS), it is necessary to develop an inventory information system that can help manage study program inventory in a structured and transparent manner. In this research, it is proposed to develop an inventory information system based on Visual Basic.NET. This system develops applications that are used to manage inventory data within the ITB AAS Indonesia Informatics Study Program. This system is designed using the Visual Basic.NET programming language and has a user-friendly interface. In this system, users can carry out various activities such as searching for goods, borrowing, returning, and managing stock. In addition, this system is also equipped with user data management features and statistical reports to facilitate decision making. The application of Visual Basic.NET technology allows this system to have high speed and stability. In addition, an attractive and easy-to-understand interface design makes this system accessible to users from all walks of life, be it students, lecturers, or staff. With the Inventory Information System based on Visual Basic.NET in the Informatics Study Program ITB AAS Indonesia, it is hoped that inventory management will become more structured, transparent and efficient. This will improve the service quality of the ITB AAS Indonesia Informatics Study Program and provide great benefits for users.
Co-Authors Arita Witanti Indah Susilawati Irfan Juliardi Saputra Krisna Widatama Muhammad Ausathul Fikri Rizky Kurnia Pratama Siti Rokhmah Suharjo, Imam