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All Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Wayan Farel Nickholas Sadewa
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Humanities Computer Science & IT Engineering Other

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IMPLEMENTASI APLIKASI PENJADWALAN MATAKULIAH PROGRAM STUDI INFORMATIKA BERBASIS WEBSITE Wayan Farel Nickholas Sadewa; Luh Gede Astuti; Anak Agung Istri Ngurah Eka Karyawati
Jurnal Pengabdian Informatika Vol. 4 No. 2 (2026): JUPITA Volume 4 Nomor 2, Februari 2026
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Scheduling courses in the Informatics Program of the Faculty Scheduling courses in the Informatics Program of the Faculty of Mathematics and Natural Sciences, Universitas Udayana, is very crucial for optimizing resources like classroom spaces, and instructor time. However, manual scheduling consuming so much time and is prone to errors, which can lead to scheduling conflicts between courses, instructors. and rooms. This study aims to develop a web-based course scheduling application that's efficient and accessible to the staff. The methods used include situation analysis, problem formulation, interface design, and system implementation. The implementation result shows that the application simplifies the scheduling process and reduces the risk of scheduling conflicts. This system is expected to improve efficiency of scheduling in the Informatics Program at Universitas Udayana.
Analisis Sentimen Terhadap Ulasan Aplikasi Gojek Menggunakan Naive Bayes Classifier dengan BoW Wayan Farel Nickholas Sadewa; Luh Gede Astuti
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2025.v03.i03.p22

Abstract

In this digital era, technology pervades every aspect of daily life, revolutionizing industries and interactions. Within this landscape, online-based transportation services have emerged as transformative solutions, notably exemplified by Gojek in Indonesia. This study delves into sentiment analysis of Gojek reviews using Multinomial Naive Bayes and Bag-of-Words extraction, aiming to gauge user perceptions and responses. Leveraging a dataset of 9.996 App reviews, the research undertakes comprehensive preprocessing, including case folding, filtering, tokenization, stopword removal, and stemming, followed by sentiment labeling. By employing Bag-of-Words feature extraction, textual data is converted into numerical vectors, enabling the application of the Multinomial Naive Bayes classification model. Evaluation metrics, derived from a confusion matrix, reveal an accuracy rate of 86.29%, with precision, recall, and F1-Score values of 86.94%, 86.41%, and 86.26% respectively. This study underscores the efficacy of the adapted Multinomial Naive Bayes model with Bag-of-Words feature extraction in discerning user sentiments towards Gojek, offering valuable insights for enhancing service applications in the digital realm. 
Co-Authors Anak Agung Istri Ngurah Eka Karyawati Luh Gede Astuti