Raihan Canggih Panilih
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Analisis Sentimen Komentar Video Putusan MA Terkait Kaesang Menggunakan Metode Naive Bayes Abim Febri Hananto; Raihan Canggih Panilih; Reihan Setya Banda Syah Putra; Tariq Tariq; Wildan Setiawan
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2024): Juli : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i3.217

Abstract

Political dynasty is a political power exercised by a group of people who are related by family, with the aim of obtaining power and ensuring that this power remains within the group by passing it on to other family members. This study conducts a sentiment analysis on comments related to the Supreme Court decision which is believed to pave the way for Kaesang Pangarep in support of Jokowi's political dynasty. Sentiment analysis is carried out using the Naive Bayes method, a commonly used algorithm for text classification based on probability. The data used consists of comments from videos taken from social media platforms. These comments are then categorized into positive, negative, and neutral sentiments. The results of the study show the distribution of public sentiment towards this issue, providing an overview of how the public responds to the decision. The Naive Bayes method is chosen for its simplicity and its ability to provide reasonably accurate results in text analysis.
Pengembangan Aplikasi Eventify: Sistem Web Terintegrasi antara Main App dan Admin Dashboard untuk Manajemen Event Dwi Wahyuningtyas; Reihan Setya Banda Syah Putra; Raihan Canggih Panilih; Rahmat Nur Shidiq
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1342

Abstract

The increasing prevalence of competitions and events necessitates efficient management systems to overcome challenges such as limited information dissemination and inefficient data handling. This study developed Eventify, an integrated web-based platform comprising a Main App for participants and organizers and an Admin Dashboard for monitoring and management. The system aims to simplify event administration, enhance transparency, and improve user experience. Built with the Laravel framework, Eventify utilizes a direct multi-database connection approach, streamlining data communication between the two applications. The development followed the SDLC waterfall model, encompassing analysis, design, implementation, and testing. Key findings indicate that Eventify effectively supports event creation, registration, participant data management, and administrative oversight. This integrated solution significantly improves operational efficiency and data transparency for event management.