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Gedung Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alam - Universitas Lampung Jalan Soemantri Brojonegoro No.1 Bandarlampung
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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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Implementation of the Haversine Algorithm in the Development of a WebGis Agung Pambudi; Ahmad Fikri Hanif; Syauqi Rahmat
Jurnal Pepadun Vol. 7 No. 1 (2026): April
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.v7i1.347

Abstract

Monitoring transmission tower disruptions require a system capable of presenting location information accurately and quickly to support the decision-making process. Limitations in the presentation of spatial data and the manual process of identifying disruption locations pose obstacles to improving the effectiveness of network infrastructure management. This study aims to develop a web-based transmission tower disruption monitoring system that integrates geospatial visualization and distance calculations to determine the nearest tower. The system is built using web technology with digital map support to display tower locations and disruption points interactively. Backend testing results using k6 show that all endpoints have a 100% success rate without failure, with response times ranging from 1.73 ms to 4430 ms, with the majority being below 1000 ms. All response values are still within the tolerance limit (<5000 ms), indicating stable system performance in handling various types of requests. In addition, the results of User Acceptance Testing (UAT) show that all system modules run according to user requirements.
A Scheduling Model for Balancing the Workload at Supermarket X Using Integer Programming Soni Safika; Dina Eka Nurvazly; Muslim Ansori; Wamiliana Wamiliana
Jurnal Pepadun Vol. 7 No. 1 (2026): April
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.v7i1.348

Abstract

Employee scheduling is an important operational problem in the retail industry, as it affects both workforce efficiency and workload balance. This study aims to develop an employee scheduling model for Supermarket X using an integer programming approach based on simulated data. The model considers two work shifts, 42 employees, and an eight-day scheduling period, with decision variables representing work assignments and days off. Several operational constraints are included, such as minimum staffing requirements, one-shift-per-day restrictions, and limitations on the number of employees off on the same day. The model is solved using LINGO software. The results show that each employee is assigned seven working days and one rotating day off, while all constraints are satisfied. These results indicate that integer programming is an effective method for generating balanced and feasible employee schedules in retail operations.
Assessing Detection and Classification Performance for Vehicle License Plate Colors Using YOLOv5, YOLOv7, YOLOv8, and YOLOv9 Ridho Sholehurrohman; Muhaqiqin Muhaqiqin; Igit Sabda Ilman; Reza Habibi
Jurnal Pepadun Vol. 7 No. 1 (2026): April
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.v7i1.349

Abstract

This study assesses the detection and classification performance of YOLOv5, YOLOv7, YOLOv8, and YOLOv9 for vehicle license plate colors in Indonesia, supporting the electronic ticketing system (e-tilang). The dataset consisted of 1,214 images from video footage captured in Bandar Lampung, comprising five color categories: black, white, yellow, red, and non-plate. The models were trained using transfer learning with COCO pre-trained weights, evaluated using precision, recall, F1-score, mAP50, and mAP50-95, and tested under real-world moderate and crowded traffic conditions. The results show that YOLOv9 consistently outperformed all other models, achieving the highest precision (97.20%), recall (96.50%), F1-score (96.85%), mAP50 (98.10%), and mAP50-95 (80.50%), with the fastest inference time of 6.8 ms per image (approximately 147 FPS). YOLOv8 ranked second, followed by YOLOv7 and YOLOv5. Across all models, the non-plate category remained the most challenging, while white and yellow plates were occasionally misclassified under low-light conditions. In conclusion, YOLOv9 is recommended for deployment in Indonesia's e-tilang system due to its best balance of accuracy and speed. Future work should expand the dataset to more diverse geographical locations, evaluate model performance under extreme weather conditions, and deploy the model on edge devices to validate real-world performance.
Penerapan UI/UX Pada Perancangan Sistem Informasi Penjadwalan Study Case SMK Negeri 2 Kota Tangerang Selatan Raditya Rimbawan Oprasto; Lily Damayanti
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.154

Abstract

The User Interface (UI) serves as the design framework guiding user interactions within a system, whereas the User Experience (UX) encompasses the holistic user journey, including activities like data input and report generation. In the context of the scheduling system, the integration of UI/UX is strategically employed to deliver a user-centric experience, emphasizing seamless interaction with system menus. This methodology is expressly designed to optimize usability and cultivate high levels of user satisfaction. This article explores the nuanced interplay between UI and UX within the scheduling system, shedding light on how their collaborative implementation contributes to an enhanced overall user experience. The study delves into the specifics of design strategies aimed at promoting user-friendly interactions, ultimately fostering a positive and efficient user experience.
Sistem Informasi Pemesanan Pecel Sayur Berbasis Website Anggun Mustika Sari; Muhamad Bahrul Ulum
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.157

Abstract

The importance of information technology for customers cannot be overstated. It plays a crucial role in helping individuals streamline their work processes and access the necessary information. Hence, this study has developed a website-based ordering system for vegetable "pecel" to simplify the order placement process for customers. The system development approach adopted here follows the waterfall method. The system design utilizes UML (Unified Modeling System), and it is constructed using PHP (Hypertext Preprocessor) programming language with a MySQL database. Additionally, it incorporates GPS (Global Positioning System) for location access. During the design and implementation of the system, the researchers applied the PIECES analysis method, which comprises various aspects such as performance, information, cost-effectiveness, control, efficiency, and service. To assess the system's effectiveness, the researchers conducted Black Box Testing to evaluate its functionality.
Perancangan Aplikasi Rekap Data dan Operation Maintenance Pada Perusahaan Iforte Zalzabila Syafa Nurul Arsy; Muhamad Bahrul Ulum
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.158

Abstract

By developing an application for processing TT (Trouble Ticket) report data, it becomes possible to streamline the tasks of employees involved in handling TT reports and generating corresponding reports. This web-based software has been designed using the PHP programming language and relies on a MySQL database. The primary objective of implementing this web solution is to enhance the archiving process and serve as an efficient replacement for less effective and inefficient methods, ultimately simplifying the creation of TT (Trouble Ticket) data reports. In essence, the application is designed to improve the workflow and efficiency for employees dealing with TT reports. It leverages web technology to optimize the archiving process and reporting, making the entire TT data management process more streamlined and effective.
Sistem Pendataan Peserta PKH Lolos Jalur Seleksi Perguruan Tinggi Berbasis Website Pada Lembaga Mitra Gerakan Ayo Kuliah Lampung Edo Laksana Widodo; Rendy Lutfi Prabowo; Wartariyus Wartariyus; M. Iqbal Parabi
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.165

Abstract

The Bakrie Center Foundation is a charitable organization established in 2010, dedicated to nurturing emerging leaders in Indonesia. Its vision is to identify and cultivate leaders across all strata of society throughout the Indonesian archipelago, with a mission to bolster their capabilities and foster a talent pool that will ultimately stimulate national development and economic growth. In the 6th edition of the Campus Leader Program, the Bakrie Center Foundation collaborated with partner institutions as part of the "Let's Go to Lampung" initiative. The Foundation recognized the effectiveness of the "Let's Go to Lampung" movement, which is geared towards providing education, motivation, and support to KPM PKH children. During the operational phase, there were challenges in data collection, prompting the founder of GAK Lampung to propose the development of a website for a Data Collection System designed to assist PKH children in navigating the university selection process, to be implemented at the partner institution of the "Let's Go to College" Movement (GAK) in Lampung.
Implementasi Metode Deep Learning Untuk Klasifikasi Gambar Tulisan Tangan Edi Arif Effendi; Favorisen Rosyking Lumbanraja; Akmal Junaidi; Admi Syarif
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.166

Abstract

The advancement of current technology has led to the widespread utilization of pattern recognition in diverse fields, such as identifying signature patterns, fingerprints, faces, and handwriting. Human handwriting exhibits variations from one person to another, often making it challenging to read or recognize, which can hinder daily activities, particularly in transactions requiring handwritten input. Handwriting, being a distinct expression of individuals, can be effectively distinguished or recognized using pattern recognition methods, particularly through computer-based classification techniques, including deep learning. In this research, deep learning was employed for the classification of handwritten characters, encompassing a total of 5200 data samples, consisting of lowercase and uppercase letters from 'a' to 'z,' with each letter represented by 100 data samples. The data underwent several stages, including pre-processing, feature extraction, classification, and evaluation. The evaluation phase employed k-fold cross-validation repeated ten times, which is a statistical technique aimed at assessing classifier performance. The study revealed that the highest accuracy, at 58.36%, was achieved using a 2-layer architecture with 512 and 256 units, while the lowest accuracy, at 43.42%, was obtained with a 5-layer architecture comprising 512, 256, 128, 64, and 32 units.
Aplikasi Audio Al-Qur’an Untuk Membantu Mengingat Hafalan Al-Qur’an Menggunakan Framework Django Innas Shofa Uzzahro; Dwi Sakethi; Didik Kurniawan; Machudor Yusman
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.167

Abstract

The Quran serves as a fundamental guide and legal foundation for the lives of Muslims. As practicing Muslims, it is essential to read, listen to, and commit it to memory. To aid in the memorization process, one can utilize Quranic audio as a learning tool to enhance pronunciation and recitation skills through repeated listening and reciting. In this study, an application for Quranic audio was developed using the Django Framework. The aim of this application is to assist Quran memorizers in their memorization journey by providing easy access to audio verses of the Quran. The research employed the waterfall methodology, involving stages such as needs analysis, application design, code development, testing, and application maintenance. The Audio Quran application offers 30 Juz' of Quranic audio verses with a selection of sheikhs. After testing with students and general users, the application achieved an impressive average user satisfaction score of 88.00%.
Pengembangan Aplikasi Penilaian Angka Kredit Dosen (Studi kasus: FMIPA Universitas Lampung) Alifia Intan Andrean Nunyai; Tristiyanto Tristiyanto
Jurnal Pepadun Vol. 4 No. 2 (2023): August
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.v4i2.168

Abstract

According to Law Number 14 of 2005 on Teachers and Lecturers, lecturers are defined as professional educators and scholars whose primary responsibility is to transform, advance, and disseminate knowledge, technology, and the arts through education, research, and community service, often referred to as the Tri Dharma of Higher Education (Chapter 1, Article 1, paragraph 2). The assessment of lecturers' performance is deemed essential in the context of implementing the Tri Dharma of Higher Education to gauge the degree to which it is executed. In practice, lecturers are required to accrue credit points in line with the established standards specified in the operational guidelines for credit point assessment. Nevertheless, lecturers often encounter delays in the collection of these credit points, primarily due to the substantial amount of data used as assessment criteria and the manual creation of reports using Microsoft Excel. Consequently, this protracted process is responsible for the extensive time required for the preparation of Academic Qualification Credit Points (DUPAK) reports. To tackle this issue, the development of an Information System has been proposed to expedite and enhance the accuracy of data collection. The Information System is constructed using the prototype methodology, which encompasses three core phases: "Listening to Customer" to identify user requirements, "Building/Revising the Mock-Up" to develop the prototype, and "Testing the Mock-Up" to assess its compliance with user expectations. The system is coded using the PHP programming language, and the Laravel framework is employed to simplify the coding process. The system's functionality is rigorously tested using the Black Box Testing method with Equivalence Partitioning to ensure its reliability and accuracy. The outcome of this research is a Web-Based Lecturer Performance Evaluation Information System designed to streamline the DUPAK report creation process for lecturers, making it more efficient and precise.

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