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Analisis Sentimen Pada Media Sosial X (Twitter) Terhadap Tumor Jinak Payudara Menggunakan Metode Naïve Bayes Lestari, Syntha Agung; Sugiyono
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.v5i3.1015

Abstract

Benign breast tumors are a medical condition that often raises concerns among the public. This research aims to analyze public sentiment towards benign breast tumors via social media Twitter (X) using the Naïve Bayes algorithm. Data was collected from tweets containing keywords related to benign breast tumors within a certain time period. After data pre-processing, including text cleaning and duplication removal, the data was then classified into positive and negative sentiments using the Naïve Bayes algorithm. This research provides insight into public perceptions of benign breast tumors on social media, and emphasizes the importance of more in-depth health education and disseminating accurate information about the condition. It is hoped that the results of this research can become a reference for health practitioners and policy makers in designing more effective health communication strategies.
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.