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All Journal Jurnal Manajemen Teknologi dan Sistem Informasi Journal of Software Engineering and Information System (SEIS)
Ramadhan, Fauzan purma
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Analisis Dan Perancangan Sistem Informasi Pengelolaan Data Alumni Berbasis Web Pada SMK N 1 Kempas Ramadhan, Fauzan purma; Sharipuddin; Effiyaldi, Effiyaldi
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 5 No 1 (2025): JMS Vol 5 No 1 Maret 2025
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2025.5.1.1939

Abstract

The management of alumni data that is still conducted manually at SMKN 1 Kempas has led to various issues, such as long processing times and difficulties in tracking alumni data. This study aims to develop an Alumni Data Management Information System that can facilitate both alumni and school officials in managing this data. The information system is developed using the PHP programming language and the CodeIgniter framework, following the Waterfall method. This Waterfall method includes stages of requirements analysis, system design, implementation, testing, and maintenance. The system is designed to enable school officials to manage and monitor data efficiently, as well as to simplify the data entry process for alumni. The results of the system implementation indicate an increase in efficiency in managing alumni data, with faster processing times. Additionally, this system makes it easier for alumni to input their data and assists school officials in tracking and managing alumni data. Thus, the developed Alumni Data Management Information System successfully achieves its goal of facilitating the process of managing alumni data at SMKN 1 Kempas.
EKSPLORASI SENTIMEN PENGGUNA X TERHADAP ISU KESEHATAN MENTAL BERBASIS MACHINE LEARNING Rifaldi, Dianda; Famuji, Tri Stiyo; Fanani, Galih Pramuja Inngam; Ramadhan, Fauzan Purma; Mulyadi, Iriene Putri; Saputra, Vanji
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9594

Abstract

Mental health has become an increasingly relevant topic in the digital era, particularly on social media platforms such as X, which serve as public spaces for expressing opinions and sharing personal experiences. This study aims to analyze public sentiment toward mental health topics on Twitter using the Multinomial Naive Bayes algorithm. Data were collected from tweets containing mental health-related keywords and processed through text cleaning and feature extraction using the TF-IDF method. The classification results showed that the model achieved an accuracy of 71%, with stronger performance in identifying negative sentiment compared to positive sentiment. A WordCloud visualization also revealed the frequent appearance of terms such as “mental,” “health,” “self,” and “disorder,” reflecting the main focus of online discussions. These findings indicate that machine learning-based sentiment analysis is effective in capturing public perceptions of mental health issues on social media. This research is expected to contribute to the development of digital communication strategies and real-time monitoring of psychosocial issues in online spaces.
PERANCANGAN SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA MTSN 5 MUARO JAMBI Ramadhan, Fauzan Purma; Dianda Rifaldi; Iriene Putri Mulyadi; Vanji Saputra
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9611

Abstract

The manual management of academic data has the potential to cause various obstacles, such as delays in grade distribution, data duplication, and input errors. This study aims to design a web-based academic information system at MTsN 5 Muaro Jambi as a solution to these problems. The system was developed using the Waterfall method with the PHP programming language and a MySQL database. The database design was carried out in a structured manner to support the integrity and efficiency of academic information management. The novelty of this study lies in the integration of grade management, attendance, and schedule features into a single web-based platform, which has never been implemented before at MTsN 5 Muaro Jambi. The system was designed to involve three main actors: the admin as data manager, teachers as data managers, and students as recipients of online academic information. The implementation results showed that the system was able to improve recording accuracy, accelerate information distribution, and support academic data transparency. Testing using the blackbox testing method proved that the system's main functions ran as needed, while user acceptance trials involving teachers, students, and administrative staff showed the system was easy to use and useful in supporting the academic process.
Co-Authors Dianda Rifaldi Effiyaldi, Effiyaldi Fanani, Galih Pramuja Inngam Iriene Putri Mulyadi Mulyadi, Iriene Putri Saputra, Vanji Sharipuddin Tri Stiyo Famuji Vanji Saputra