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Jurnal Pepadun
Published by Universitas Lampung
ISSN : -     EISSN : 27743403     DOI : https://doi.org/10.23960/pepadun
Core Subject : Science,
Computer Science & IT
Pepadun Journal is a journal to publish research in the fields of computer science, information systems, and informatics to researchers, scientists, and professionals. For every edition published by the Pepadun Journal, we put our effort: Using standard procedures and times for submitted manuscripts, Provide a good editorial service for every submitted manuscript, Attract national and international writers to contribute to submitting quality manuscripts, Managing journals with good quality standards Pepadun is published three times a year by Computer Science Department, University of Lampung. Contributed papers must be original and offer a state-of-the-art contribution. Each manuscript will be peer-reviewed by reviewers in the relevant field ensuring the quality of the publication. Pepadun offers an open-access license (CC-BY), authors retain the copyright.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 146 Documents
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Hybrid Hill Cipher ASCII 256 and RSA Cipher in Securing Messages Sandi Saputra; Fitriani Fitriani; Ahmad Faisol; Wamiliana Wamiliana; Siti Laelatul Chasanah
Jurnal Pepadun Vol. 6 No. 3 (2025): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v6i3.284

Abstract

Secure communication requires encryption methods that strike a balance between efficiency and key protection. This study proposes a hybrid cryptosystem integrating the Hill Cipher and the RSA Cipher. The Hill Cipher, based on modular matrix multiplication, achieves fast encryption but lacks secure key distribution, whereas RSA provides robust asymmetric key management at a higher computational cost. By encrypting the Hill Cipher key with RSA, the proposed method strengthens resistance to brute-force and key compromise attacks. A Python-based implementation was developed and tested on messages of varying lengths. Experimental results show that the hybrid system maintains the efficiency of the Hill Cipher while significantly improving key security, with time complexity increasing modestly due to RSA key operations. Two scenarios were analyzed depending on whether the message length is divisible by the key matrix size, confirming the scheme’s flexibility. This approach demonstrates a practical and secure solution for protecting digital communication against cryptanalysis.
Two-Stage Convolutional Neural Network (CNN) Architectures for Breast Cancer Image Classification Admi Syarif; Adinda Aulia Sari; Wartariyus Wartariyus; Favorisen Rosyking Lumbanraja; Apri Candra
Jurnal Pepadun Vol. 6 No. 3 (2025): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v6i3.292

Abstract

Breast cancer remains one of the most common and deadly diseases among women globally. Early detection significantly increases the chances of patient recovery. The main objective of this research is to evaluate the performance of three Convolutional Neural Network (CNN) architectures, namely ResNet50, VGG16, and DenseNet201, for breast cancer image classification. In this study, there are two classification stages used: the first is to differentiate between normal and abnormal images, and the second is to distinguish between benign and malignant tumors. The dataset was obtained through the Kaggle website. It was then pre-processed using normalization and augmentation through flipping and rotation. After each CNN model was trained using transfer learning, its performance was evaluated using accuracy, precision, recall, and F1 score. In the Normal and Abnormal classification task, the DenseNet201 model outperformed other models with an accuracy of 91%. Meanwhile, ResNet50 showed the most optimal results in the Benign and Malignant classification with an accuracy of 83%.
Classification of Public Sentiment towards the Performance of the Ministry of Communication and Digital regarding Online Gambling Ika Rahma Alia; Favorisen Rosyking Lumbanraja; Aristoteles Aristoteles; Rico Andrian
Jurnal Pepadun Vol. 6 No. 3 (2025): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v6i3.295

Abstract

Online gambling is a social issue currently in the spotlight in Indonesia. Although the government, particularly the Ministry of Communication and Digital (Kemkomdigi), has taken various measures, such as blocking websites and conducting digital literacy campaigns, online gambling remains rampant and has sparked various public reactions. Social media, particularly Instagram, has become a public space where people express their opinions and sentiments regarding government performance. This study aims to classify public sentiment based on comments directed at the official Kemkomdigi Instagram account regarding the issue of online gambling. This study uses two machine learning algorithms, Random Forest and XGBoost, to compare the effectiveness of the models in classifying positive and negative sentiment. A total of 724 comments were collected and manually labeled by three annotators using a voting method. Preprocessing included cleaning, case folding, tokenization, normalization, stopword removal, and stemming. Feature representation was performed using the TF-IDF method. The data was split with a 70:30 ratio and balanced using Random Oversampling. Model training used 10-fold cross-validation and hyperparameter tuning through GridSearchCV. The evaluation results showed that the tuned Random Forest performed the best, with an accuracy of 0.7082. These findings demonstrate that machine learning approaches, particularly Random Forest, are effective in automatically identifying public sentiment toward emerging public policy issues on social media.
Analysis of the Measurement of the Khanza Hospital Information System (SIMRS) at RSIA Graha Kurnia Using the Human Organization Technology (HOT-Fit) Ardi Prianto; Handoyo Widi Nugroho
Jurnal Pepadun Vol. 6 No. 3 (2025): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v6i3.300

Abstract

This study evaluates the effectiveness of the Khanza Hospital Information System (SIMRS) at RSIA Graha Kurnia using the Human Organization Technology Fit (HOT-FIT) model. The aim is to understand the relationships between key constructs such as System Quality (SQ), Information Quality (IQ), Service Quality (SerQ), Organizational Environment (OE), System Use (SU), User Satisfaction (US), and Net Benefit (NB). A survey was conducted with 56 respondents from various departments within the hospital using a self-administered questionnaire. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. The results indicate that System Quality (SQ) and Information Quality (IQ) significantly influence System Use (SU) and User Satisfaction (US), which in turn contribute to the Net Benefit (NB) of SIMRS. Additionally, the Organizational Environment (OE) plays a vital role in enhancing the overall benefits derived from the system. These findings emphasize the importance of improving system quality, ensuring the availability of accurate and relevant information, and fostering a positive organizational environment to maximize the effectiveness of the SIMRS. The study concludes that improving System Quality and Information Quality should be prioritized to increase both System Use and User Satisfaction, ultimately leading to greater Net Benefit for the hospital. The findings contribute valuable insights into how the HOT-FIT model can be applied to enhance hospital information systems, offering actionable recommendations for healthcare institutions seeking to optimize their information systems' performance.
Information System for Guidance on Student Practical Work Reports in the Computer Science Department of the Web-Based Information Management Study Program Yulya Muharmi; Bambang Hermanto; Viona Almadea
Jurnal Pepadun Vol. 6 No. 3 (2025): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v6i3.301

Abstract

The supervision of practical work (KP) reports in the Computer Science Department has traditionally been carried out manually, which often leads to several issues such as difficulty aligning schedules between students and supervisors and challenges in tracking the history of report revisions. To address these limitations, a web-based internship report supervision information system was developed to support the guidance process in an online, structured, and well-documented manner.This research adopted the Waterfall model as the system development framework, while a descriptive qualitative approach was applied during the requirements analysis and implementation phases. The system includes key features such as consultation scheduling, report submission, revision tracking, and management of user profiles and announcements. System evaluation was conducted through black-box testing and a User Acceptance Test (UAT), yielding a score of 81%, which indicates that users were generally satisfied with the system’s performance.Overall, the presence of this system improves efficiency and transparency in the supervision process and strengthens communication and progress monitoring for both students and supervisors.
Artha Budha Hospital Service System Using Laravel Livewire for Improved Operational Efficiency Riska Amalia Praptiwi; Suaidah Suaidah; I Gede Arya; Debby Alita
Jurnal Pepadun Vol. 6 No. 3 (2025): December
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/pepadun.v6i3.302

Abstract

The rapid advancement of digital technologies has driven significant changes in healthcare services, prompting hospitals to modernize their systems to improve patient care and operational efficiency. This study presents the development and implementation of a web-based digital service system at Artha Budha Hospital, utilizing the Laravel Livewire framework. The system aims to streamline key processes such as patient registration, appointment scheduling, real-time queue management, and electronic medical record (EMR) management, enhancing both administrative workflows and patient experiences. A case study approach was employed to assess the system’s functionality, followed by black-box testing to evaluate its core features. The results demonstrated that the system successfully reduced manual errors, increased operational efficiency, and improved data accuracy, while providing more transparent and responsive service to patients. The findings suggest that the digital service system not only supports the hospital’s operational needs but also contributes to digital transformation in healthcare, offering valuable insights into the effective integration of technology in hospital management.

Page 15 of 15 | Total Record : 146

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