Penerbit: Department od Computer Science, Universitas Lampung
P-ISSN: 27743403
E-ISSN: 27743403
DOI: https://doi.org/10.23960/pepadun
Fakultas Matematika dan Ilmu Pengetahuan Alam Ilmu Komputer (semua kategori) Arsitektur
Artikel (193)
A Comparative Study of XGBoost, LightGBM, and CatBoost Models for Customer Churn Prediction in the Banking Industry
Customer churn is a critical issue in the banking industry, as retaining existing customers is more cost-effective than acquiring new ones. High churn rates can negatively affect profitability and long-term business sustainability, making churn prediction a key focus in customer relationship managem...
Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 178-187 | 2025
Implementation of Swin Transformer for Web-Based Identification of Rhizome Shaped Spices Using Streamlit Framework
Indonesia is a country rich in natural resources, particularly in various types of spices. Among these, rhizome-shaped spices such as ginger, turmeric, galangal, and aromatic ginger often present classification challenges due to their similar visual appearances. This study aims to address this issue...
Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 154-164 | 2025
Evaluation of Design E-Ticketing Website for Mount Kerinci Using the User Experience Questionnaire
This study aims to evaluate the user experience of an e-ticketing Mount Kerinci website design for digital services in the nature tourism domain. E-ticketing Mount Kerinci website has services such as features for online ticket purchases, virtual tours of the mountain climbing routes, and online pay...
Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 103-112 | 2025
Development of Virtual Assistant using OpenAI Assistant for Immigration Services
The development of technology in the fields of Artificial Intelligence (AI) and Machine Learning (ML) has resulted in technologies such as Large Language Models (LLM). LLM is a technology that enables humans to communicate with computers in a natural manner. This technology has the potential to repl...
Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 120-130 | 2025
Analysis of the Human Capital Information System (HCIS) Using the Design Thinking Approach at PT. Tunas Dwipa Matra
Human Capital is an important asset that supports the productivity and growth of a company, especially in the fast-moving automotive industry. PT. Tunas Dwipa Matra, as the main dealer of Honda motorcycles, faces challenges in tracking employee performance, development, and career progress in a real...
Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 165-177 | 2025
Performance Comparison of Object-Relational Mapping (ORM) and SQL Query in Developing the Booking Service API at PT Tunas Dwipa Matra
In this digital era, information technology plays a pivotal role across various industries, particularly in the service and reservation sector, where companies like PT Tunas Dwipa Matra are compelled to adopt advanced tools to remain competitive and enhance customer experiences. A critical component...
Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 113-119 | 2025
A Comparative Study of CNN Architectures: ConvNeXt, MobileNetV3, and EfficientNet for Oral Disease Diagnosis
Oral diseases are a global health issue affecting billions of people worldwide. Early detection using artificial intelligence technology, particularly Convolutional Neural Networks (CNN), can enhance the accuracy of oral disease diagnosis. This study compares the performance of three CNN architectur...
Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 81-91 | 2025
Determining the Shortest Tour Location of Tourist Attractions in Bandar Lampung Using Cheapest Insertion Heuristic (CIH) and Modified Sollin Algorithm
The travel and tourism industry play important role in economics. Like various urban areas on the island of Sumatra which is famous for its tourist destinations, the city of Bandar Lampung is one of the tourist destinations for urban communities on the island of Sumatra because it has many cultural ...
Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 92-102 | 2025
Application of Artificial Neural Network in Web Expert System for Emotional Preschool Children
This study developed a web-based expert system to assist parents in identifying emotional parenting styles for preschool children using an Artificial Neural Network (ANN). The ANN model consists of an input layer, one hidden layer, and an output layer, using the sigmoid activation function. The pare...
Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 39-46 | 2025
Sentiment Analysis on Jobseekers Application in Google Play Store (KitaLulus)
Sentiment analysis on user reviews of the KitaLulus application in Google Play Store aims to assess user feedback and classify sentiment into positive and negative categories. This study applies and compares the performance of Support Vector Machine (SVM) and Naïve Bayes classifiers in sentiment cl...
Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 47-56 | 2025