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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia
APRILIA, PUTRI DWI
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Computer Science & IT Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Analisa Sentimen Drama Korea Melalui Media Sosial X dengan Menggunakan Algoritma Naïve Bayes Aprilia, Putri Dwi; Lestari, Sri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.997

Abstract

In this digital era, technological advancements allow easy access to various social media platforms, including Twitter or X, which has over 500 million users. This platform is often used to share opinions through the concept of microblogging. In Indonesia, Korean trends like K-Pop and K-Drama are highly popular, sparking various discussions on social media, especially on X, generating both positive and negative opinions. Sentiment analysis is an effective method for extracting public opinion from large text data, such as those found on X, by classifying comments into positive and negative classes using the Naïve Bayes method. Tweets were collected from X using hashtags related to Korean dramas. The data was then cleaned and processed for sentiment analysis using Naïve Bayes. The Naïve Bayes algorithm is based on Bayes' theorem and is often used in sentiment analysis due to its accuracy and speed in producing results. This study achieved a precision rate of 88.44%. For negative sentiment data, precision was 67.86%, and recall (specificity) for negative sentiment was 59.38%, indicating that the model is quite good at identifying truly negative data. Meanwhile, recall for positive sentiment reached 91.70%. The model's accuracy was 84.33%, showing that the algorithm used can classify sentiment well with the given data. These results can be useful for content creators, marketers, and cultural and social research
Rancang Bangun Sistem Aplikasi Kasir Pintar Enterprise Resource Planning (ERP) Berbasis Odoo pada UMKM Rumah Makan Tradisional Uni Mita Lintau Nendi; Saputra, Hendra Ekky; Suprianto, Ahmad; Aprilia, Putri Dwi; Lestari, Syntha Agung
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 2 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i2.678

Abstract

The application of information technology on a Micro, Small, and Medium Enterprises (MSME) scale is crucial in increasing competitiveness and operational efficiency in various industrial sectors. In the food and beverage industry, the implementation of a smart cashier application system based on Enterprise Resource Planning (ERP) using the Odoo platform has become a significant concern. This research aims to design and build an ERP-based smart cashier application system using Odoo at the MSME Uni Mita Lintau Traditional Restaurant. By combining Odoo technology with MSME business practices, this research provides a solution to improve operational efficiency and customer experience in traditional restaurants. Through implementation analysis and evaluation, this research offers practical guidance and insight for other MSMEs interested in adopting similar technology to improve their business performance. Thus, this research not only contributes to the practical understanding of the application of technology to MSMEs but also contributes to further developments in the literature on the application of information technology in the food and beverage industry.
Co-Authors Lestari, Syntha Agung MARIA BINTANG Nendi Saputra, Hendra Ekky Sri Lestari