Penerbit: Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung
Menampilkan semua artikel dari penerbit ini.
Ditemukan 193 artikel.
Development of RESTful API in Lecturer Remuneration System at The University of Lampung Using JWT Authentication
Oleh: Parabi, M Iqbal, Prabowo, Rizky, Ilman, Igit Sabda
In today's dynamic digital era, Universitas Lampung (Unila) faces challenges in managing increasingly complex information systems. With the rapid and diverse adoption of technology, system integration is essential to ensure seamless interconnectivity and operational efficiency. One of the most compl...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 71-80
Classification of Rice Seedling Structures Using ResNet-50 with Data Augmentation and K-fold Cross Validation
Oleh: Pratama, Nanda Bagus, Andrian, Rico, Agustiansyah, Agustiansyah
This study evaluates the efficacy of a Convolutional Neural Network (CNN) with ResNet-50 architecture for classifying rice seedling structures into three categories: normal sprouts, abnormal sprouts, and dead seeds. A dataset of 400 images was collected from the Seed Science and Plant Breeding Labor...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 10-20
Analysis and Design of Website-Based E-Business Information Systems in Heavy Equipment Companies
Oleh: Ruswita, Istiana, Muharmi, Yulya, Amelia, Dhella
This study aims to formulate a framework for designing an e-business information system that is in line with the characteristics of business processes, organizational culture, and stakeholder needs in heavy equipment companies in Indonesia. The companies that focus their business on providing heavy ...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 32-38
Sentiment Analysis on Jobseekers Application in Google Play Store (KitaLulus)
Oleh: Hairullah, Muhamad Arrozi Irfan, Shofiana, Dewi Asiah, Taufik, Rahman
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...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 47-56
Performance Comparison of Object-Relational Mapping (ORM) and SQL Query in Developing the Booking Service API at PT Tunas Dwipa Matra
Oleh: Hermanto, Bambang, Parabi, M. Iqbal, Sakethi, Dwi
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...
Sumber: Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 113-119
Application of Artificial Neural Network in Web Expert System for Emotional Preschool Children
Oleh: Awal, Elsa Elvira, Juwita, Ayu Ratna, Hijriyya, Rija Nur
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...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 39-46
Determining the Shortest Tour Location of Tourist Attractions in Bandar Lampung Using Cheapest Insertion Heuristic (CIH) and Modified Sollin Algorithm
Oleh: Dinata, Abdi Restu, Wamiliana, Wamiliana, Ansori, Muslim
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 ...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 92-102
A Comparative Study of CNN Architectures: ConvNeXt, MobileNetV3, and EfficientNet for Oral Disease Diagnosis
Oleh: Amien, Ferli Malkan, Kurniawan, Didik, Junaidi, Akmal
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...
Sumber: Jurnal Pepadun; Vol. 6 No. 1 (2025): April; 81-91
Detection of Hate Speech in TikTok Comment Sections Using the Naïve Bayes Algorithm with Smoothing Implementation
Oleh: Pasaribu, Roy Rafles Matorang, Kurniawan, Didik, Muhaqiqin, Muhaqiqin
Hate speech is a biased, antagonistic, and discriminatory expression that commonly appears on social media platforms, including TikTok. The high volume of comments and varied language styles make manual detection challenging. This research proposes a hate speech detection model using the Multinomial...
Sumber: Jurnal Pepadun; Vol. 6 No. 3 (2025): December; 207-219
Analysis of the Human Capital Information System (HCIS) Using the Design Thinking Approach at PT. Tunas Dwipa Matra
Oleh: Juandira, Salsabila, Kurniawan, Didik, Sakethi, Dwi
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...
Sumber: Jurnal Pepadun; Vol. 6 No. 2 (2025): August; 165-177