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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Bulletin of Computer Science Research
Ruci Meiyanti
Universitas Mercu Buana, Jakarta
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Implementasi Algoritma Random Forest untuk Analisis Sentimen Ulasan Pengguna Aplikasi Merdeka Mengajar Yuwan Jumaryadi; Ruci Meiyanti; Riri Fajriah; Athiyyah Nisrina Mahsyar; Puspita Sari Anggraeni
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.530

Abstract

Education plays a major role in determining the quality of human resources. The role of teachers is very important as educators who provide guidance and learning. As an effort to facilitate teachers to carry out their duties and responsibilities, especially in the Merdeka Mengajar curriculum, the Ministry of Education and Culture has developed an application called Merdeka Mengajar. However, there is no method to classify sentiment or opinions from comment data on the Merdeka Mengajar application user satisfaction survey on the Google Playstore, in order to determine the extent of user satisfaction with the Merdeka Mengajar application. This study aims to observe sentiment analysis regarding user opinions on the Merdeka Mengajar application on the Google Playstore using the Random Forest, SVM and Naïve Bayes algorithms using TF-IDF weighting for the classification process. This study uses secondary data derived from user reviews of the Merdeka Mengajar application and is classified using the Random Forest, SVM, and Naïve Bayes methods. The results of the classification show that the Random Forest algorithm is the best algorithm in predicting Merdeka Mengajar application user reviews compared to Naive Bayes and SVM.
Sistem Informasi Penilaian Kinerja Karyawan Metode Umpan Balik 360 Derajat Dandi Agih Kusdinar; Ruci Meiyanti; Yuwan Jumaryadi
TIN: Terapan Informatika Nusantara Vol 6 No 8 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i8.9232

Abstract

ITS is a company engaged in the construction sector and routinely conducts employee performance assessments. However, the current assessment process is still subjective because it is only carried out by superiors without the involvement of other parties and without clear assessment criteria to support decision-making. This study aims to develop a web-based employee performance assessment information system by implementing the 360 ​​Degree Feedback method, which allows for comprehensive evaluations from various perspectives, including superiors, coworkers, and subordinates. The system development process uses the Waterfall method, which includes the stages of needs analysis, design, implementation, and testing. Problem analysis is carried out using the Fishbone method to identify the main causes of the ineffectiveness of the previous system. The system design is depicted through UML diagrams, while application development uses the Yii Framework and MySQL database. Functional testing of the system is carried out using the Black Box Testing method to ensure each feature runs as expected. The results of this study are a web-based employee performance assessment information system that assesses based on three main criteria: discipline, technical skills, and personality, resulting in a more objective, accurate, and comprehensive assessment.
Co-Authors Athiyyah Nisrina Mahsyar Dandi Agih Kusdinar Jumaryadi, Yuwan Puspita Sari Anggraeni Riri Fajriah