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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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Evaluasi Performa Sistem Informasi FMIPA Universitas Lampung Menggunakan Information Systems Functional Scorecard (ISFS) Ilham Hardiyanto; Anie Rose Irawati; Yunda Heningtyas; Rico Andrian
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.v4i2.169

Abstract

The information system at FMIPA Unila (Faculty of Mathematics and Natural Sciences, University of Lampung) is intended to support both academic and non-academic activities within the FMIPA Unila community. However, the system frequently faces disruptions, ranging from server shutdowns to unauthorized access by malicious individuals. Furthermore, some of the information service menus and features are currently inaccessible within the FMIPA Unila information system. The main aim of this study is to evaluate the operational efficiency of the FMIPA Unila information system from the user's point of view. The research employs the Information Systems Functional Scorecard (ISFS) method, which comprises three assessment dimensions: system performance, information effectiveness, and service performance. To gauge system performance, questionnaires were distributed to 100 student participants who represent various departments at FMIPA Unila. According to the ISFS calculations, the overall performance of the Unila FMIPA information system can be generally deemed satisfactory. Recommendations for improving and fine-tuning the FMIPA UNILA information system include the provision and completion of information services currently missing from the Profile menu, Academic menu, Research and Service menu, Student Affairs menu, and Document menu. Furthermore, enhancements should be made to the system's menu navigation features and menu buttons to ensure their proper functionality.
Pengembangan Modul Service Advisor Talk Menggunakan Framework ERP Odoo 10 Pada PT. Tunas Dwipa Matra Bambang Hermanto; Igit Sabda Ilman; Ardiansyah Ardiansyah; Qurrota Aini Dila Az Zahra
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.v4i2.170

Abstract

PT. Tunas Dwipa Matra is the main dealer of HONDA motorcycles in Lampung which is engaged in the development of a network of sales, maintenance, repair and service of spare parts for HONDA motorcycles. A service advisor is someone who helps customers at a dealership to understand vehicle maintenance or repair options, answering customer questions before being scheduled with a technician. This study aims to help a service advisor to be able to access materials regarding understanding motor maintenance and repair as well as other program information. The method used in this study is an agile method with a scrum framework. Based on the research conducted, a service advisor talk menu is produced that can be used for workshop employees, especially a service advisor. Tests carried out in the study were Alpha Test, Beta Test, and Functional Test. Based on the test results, it can be concluded that the service advisor talk module can make it easier for a service advisor to get material and program information related to technical work.
Sistem Informasi Rekomendasi Kartu Indonesia Pintar (KIP) Kuliah Gerakan Ayo Kuliah (GAK) dengan User Acceptance Testing (UAT) Salsabilla Qurrota A'yuni; Irwan Adi Pribadi; Ridho Sholehurrohman; Dwi Sakethi
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.v4i2.171

Abstract

Information systems play a crucial role in enhancing the performance of an organization. One of the programs aiming to assist students, particularly those who are beneficiaries of the Program Keluarga Harapan (PKH) and need a recommendation letter for the Kartu Indonesia Pintar (KIP) scholarship from the Governor of Lampung, is known as Gerakan Ayo Kuliah (GAK). GAK also serves as a platform to encourage and generate interest in pursuing higher education among high school students from various districts across Lampung Province. However, the absence of a digital system for introducing and collecting data about the Gerakan Ayo Kuliah program has resulted in decreased enthusiasm among participants, and the program's reach remains limited. Additionally, the selection process for program participation is not as efficient as it could be. This research focuses on the development of an information system to manage KIP recommendation letters for college students who receive assistance from the GAK Social Service of Lampung Province. The system was constructed using the Waterfall methodology and was programmed using PHP, utilizing the Codeigniter framework. The system's functionality was evaluated through User Acceptance Testing. As a result, this research has produced a system that facilitates the connection between applicants, namely students, and the Gerakan Ayo Kuliah program when it comes to selecting recommendation letter data.
Analisis Visualisasi Data Prestasi Mahasiswa Universitas Lampung Menggunakan Tableau Muhamad Hamid Al Malik; Rico Andrian; Yohana Tri Utami
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.v4i2.172

Abstract

This research focuses on visualizing student academic and non-academic achievement data for the years 2018, 2019, 2020, as well as data related to the 2020 MBKM program at the University of Lampung. The data is processed using Tableau software, allowing for the examination of visual patterns in achievement data based on key attributes, including types of achievements, participants categorized by faculties, and achievement levels classified into three categories: international, national, regional, and provincial achievements. Tableau Public Tools is a software application used for analyzing and presenting data sets to support decision-making processes and assist in organizational data analysis. The output produced using Tableau is presented in the form of a visual dashboard, presenting pre-defined attribute data. This dashboard offers valuable insights and graphical representations of achievement attribute data, which can be utilized for evaluating achievement data by BP2M staff and capturing the interest of the University of Lampung community.
Sistem Web Real Time untuk Pelacakan Lokasi Pedagang Keliling Raka Akbar Hartolo; Febi Eka Febriansyah; Irwan Adi Pribadi; Favorisen Rosyking Lumbanraja
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.v4i2.173

Abstract

The rapid progress in technology, particularly in the realm of information technology, has significantly impacted various aspects of daily life. Despite these advancements, many street vendors continue to conduct trade within housing complexes or on smaller streets. This presents a challenge for potential buyers who find it inconvenient to purchase goods from street vendors due to uncertainties about their presence and the types of merchandise they offer. To address this issue, a viable solution is proposed: the development of a tracking system that utilizes GPS technology on smartphones to monitor the movements of street vendors. The location data of these vendors is transmitted to the internet, where it is converted into accessible information through a web interface built with the Codeigniter framework. Black Box testing confirms the effective functionality of the system, and the evaluation yields a score of 82.28%, indicating its successful implementation.
Rancang Bangun Aplikasi Teknik Dasar Taekwondo Menggunakan Animasi 3D Berbasis Android Anton Sandra; Irwan Adi Pribadi; Rizky Prabowo; Ossy Dwi Endah Wulansari
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.v4i2.174

Abstract

Taekwondo, essentially a form of self-discipline and a martial art utilizing techniques with bare feet and hands, originated as a ceremonial practice in Korean culture. Over time, it transformed into a crucial self-defense system for Korean warriors. In the contemporary context, Taekwondo has become widely popular, attracting individuals eager to learn but hindered by a lack of foundational knowledge. The application developed in this study serves as a valuable resource for users to grasp the fundamental movements of Taekwondo, encompassing kicks, punches, stances, and techniques. This initiative aims to make the learning process more accessible, allowing individuals to engage with Taekwondo lessons conveniently at any time and from any location. The research involves a collaborative effort with a Taekwondo instructor affiliated with the State Polytechnic Lampung, ensuring the incorporation of authentic martial arts knowledge into the application.
Pengembangan Sistem Informasi Monitoring Prospek Marketing Menggunakan Framework Laravel (Studi Kasus: PT Asuransi Bintang Tbk Cabang Lampung) Rahman Taufik; Syahril Fajri Pratama; Muhaqiqin Muhaqiqin; Ridho Sholehurrohman; Igit Sabda Ilman
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.v4i2.176

Abstract

Insurance companies exist as a means to protect individuals or businesses from unexpected financial risks, such as losses resulting from accidents, natural disasters, fires, or theft. Monitoring the marketing prospect reporting is one of the challenges faced by every insurance company. In light of this issue, this research proposes the development of a marketing prospect monitoring information system. The development of this information system uses Laravel Framework and employs a prototype method, encompassing stages of requirement gathering, design, implementation, evaluation, and system distribution. The results show that this information system has a positive contribution to the company and addresses previous issues, although there are some improvements that need to be considered in the future.
Perbandingan Algoritme Dijkstra dan Algoritme A* (A-Star) dalam Penentuan Lintasan Terpendek dari Dinas Pendidikan Provinsi Lampung ke Beberapa Sekolah Menengah Atas (SMA) Negeri di Provinsi Lampung Silvia Rizki Aulia; Wamiliana Wamiliana; Asmiati Asmiati; Notiragayu Notiragayu
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.v4i2.177

Abstract

In this research, we aim to find the most efficient route from the Lampung Provincial Education Office to various State Senior High Schools in Lampung Province, employing both the Dijkstra Algorithm and the A* (A-Star) Algorithm. To address this problem, we model it as a weighted graph, where the vertices represent the locations of the Lampung Provincial Education Office and the Public High Schools, and the edges' weights represent the distances. Furthermore, we implement the solution using the Python programming language. The outcomes demonstrate that both algorithms yield optimal results with the same distance and route. However, when considering the execution time of the program, the A* (A-Star) algorithm outperforms Dijkstra's Algorithm because it quickly identifies the shortest path from the starting point to the destination, whereas Dijkstra's Algorithm explores the shortest paths from neighboring points first.
Detection of Hate Speech in TikTok Comment Sections Using the Naïve Bayes Algorithm with Smoothing Implementation Roy Rafles Matorang Pasaribu; Didik Kurniawan; Muhaqiqin Muhaqiqin; Akmal Junaidi
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.v6i3.268

Abstract

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 Naïve Bayes algorithm with smoothing to address zero-probability issues and enhance prediction performance. The dataset is split into 80% training and 20% testing portions. The model achieves an accuracy of 88.41%, with precision, recall, and F1-score showing balanced performance. A user evaluation involving 35 participants and 7,415 TikTok comments records a detection accuracy of 68.6%. The model is further implemented into a Google Chrome extension capable of real-time hate speech detection, displaying prediction probabilities and allowing user validation. This study aims to support healthier digital interactions by improving automated hate speech detection on social media.
Sentiment Analysis of Gamification in E-Commerce Applications Using a Hybrid CNN-LDA Rayyandra Rezky; Ulfa Khaira; Mutia Fadhila Putri
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.v6i3.281

Abstract

This study investigates public sentiment toward gamification features in e-commerce platforms, focusing on user opinions expressed on social media platform X. As gamification strategies like Shopee Candy and Tokopedia Quiz become more common, understanding user perceptions is crucial for improving user experience. This research adopts a hybrid approach using Convolutional Neural Network (CNN) for sentiment classification and Latent Dirichlet Allocation (LDA) for topic modeling. A total of 765 user comments were collected using Tweet Harvest and processed through standard text preprocessing techniques. The CNN model achieved strong performance, with 81% accuracy, 86% precision, 89% recall, and an F1-score of 88%. LDA analysis revealed key terms in each sentiment group—positive sentiments centered on words like “menang” and “hibur,” while negative sentiments included “scam” and “capithaha.” The results demonstrate the effectiveness of combining CNN and LDA for analyzing sentiment and extracting dominant themes in informal online discussions. These insights can guide e-commerce platforms in refining gamification strategies that align with user expectations, helping to enhance engagement while addressing user concerns.

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