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INDONESIA
Jurnal Algoritma
Published by Institut Teknologi Garut
ISSN : 14123622     EISSN : 23027339     DOI : https://doi.org/10.33364/algoritma
Core Subject : Science,
Computer Science & IT
Jurnal Algoritma merupakan jurnal yang digunakan untuk mempublikasikan hasil penelitian dalam bidang Teknologi Informasi (TI), Sistem Informasi (SI), dan Rekayasa Perangkat Lunak (RPL), Multimedia (MM), dan Ilmu Komputer (Computer Science).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,145 Documents
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Aplikasi Monitoring Distribusi Buku Berbasis Web Menggunakan Metode RUP Adi Haddaryadi; Leni Fitriani
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.2827

Abstract

Monitoring is the process of continuously collecting data and information to objectively assess the results of activities and improve the efficiency and effectiveness of mapping. Book distribution is part of marketing activities that play an important role in facilitating distribution from producers to consumers. At CV. Fazza Media, which is engaged in the distribution of school books in Garut Regency, the data collection process is still carried out using Microsoft Excel, which is prone to duplication and is inefficient. This study aims to develop a web-based book distribution monitoring information system using the Rational Unified Process (RUP) methodology, which includes the Inception, Elaboration, Construction, and Transition phases. The results of this study are an information system that supports distribution recording, school location mapping, and real-time shipment status tracking. This system makes it easier for companies to manage book distribution data, improves the efficiency of searching for distribution location information, and helps manage data in a more structured manner. The academic contribution of this research lies in the application of RUP in the context of map-based logistics distribution, while in practical terms, this system can be an initial model for the development of monitoring applications in other logistics sectors outside of book distribution.
Penerapan Arsitektur VGG-16 dalam Pengenalan Wajah Bermasker untuk Sistem Presensi Leni Fitriani; Rinda Cahyana; Fauzan Abdurrahman
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.2845

Abstract

Covid-19 membatasi interaksi fisik dan mendorong penggunaan masker, sementara sejumlah sistem pengenalan wajah konvensional mengharuskan masker dilepas sehingga risiko paparan meningkat oleh karena itu penting adanya sistem pengenalan wajah bermasker dalam pencegahan penularan Covid-19. Tujuan dari penelitian ini membuat model Convolutional Neural Network (CNN) untuk pengenalan wajah bermasker yang dapat diterapkan pada sistem presensi. Metode yang digunakan Machine Learning Life Cycle dan model dibuat menggunakan arsitektur VGG-16. Hasil penelitian ini berupa model yang diterapkan pada prototype sistem presensi yang dapat mengindentifikasi pengguna bermasker. Model dilatih 40 epoch dengan hasil nilai training accuracy 0.9900 serta nilai training loss 0.2694 sedangkan nilai validation accuracy 0.9500 serta nilai validation loss 0.4065. Evaluasi model oleh confusion matrix dengan hasil rata-rata akurasi sebesar 0.95 atau 95%. Pada tahap akhir pengujian, model digunakan pada prototype sistem presensi dengan hasil deteksi tercepat yaitu 6 detik dan terlama 42 detik yang mana hal tersebut menjadi kontribusi utama penelitian ini dengan sistem realtime dan pipeline augmentasi yang relevan untuk skenario wajah bermasker. Keterbatasan terletak pada skala data dan lingkungan uji yang terbatas. Penelitian selanjutnya diharapkan mencakup evaluasi menggunakan Real World Masked Face Recognition Dataset (RMFRD) atau Simulated Masked Face Recognition Dataset (SMFRD), eksplorasi arsitektur yang lebih bervariasi, serta percepatan inferensi.
Perbandingan Fungsi Kernel Pada Algoritma SVM untuk klasifikasi Kredit Macet Rayhan Irawan; Yulison Herry Chrisnanto; Gunawan Abdilah
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.2938

Abstract

Non-performing loans are a significant problem for financial institutions as they can disrupt economic stability and cause financial losses. To address this issue, this study applies the Support Vector Machine (SVM) algorithm combined with the Synthetic Minority Over-sampling Technique (SMOTE) to improve the accuracy of classifying customers at risk of loan default. The study compares three kernel functions: linear, polynomial, and RBF. The experimental results show that the RBF kernel achieves the best performance with an accuracy of 0.76 (76%), followed by the polynomial kernel at 0.73 (73%) and the linear kernel at 0.72 (72%). This approach proves effective in improving credit risk prediction accuracy through data distribution balancing using SMOTE.
Aplikasi Virtual Tour Berbasis Web untuk Informasi Tata Letak Gedung Sekolah Menggunakan MDLC Ayu Latifah; Bintang Nur Alfiyah
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.2963

Abstract

Virtual tour is an interactive multimedia technology that allows users to explore a location digitally through 360° panoramic visualization. Currently, SMK Negeri 9 Garut still relies on conventional media such as brochures and banners to convey building layout information, which limits its ability to provide an optimal interactive experience. This study aims to design and develop a web-based virtual tour that can be accessed broadly and efficiently. The method used is the Multimedia Development Life Cycle (MDLC), consisting of the concept, design, material collecting, assembly, testing, and distribution stages. Research data were obtained through observation, interviews, and documentation, then processed using 3DVista software to produce 360° panoramas, hotspots, text information, and audio. Black-box testing results indicate that all application features function as intended. From a software engineering perspective, this study underscores the implementation of the Multimedia Development Life Cycle (MDLC) as a systematic approach for developing interactive multimedia systems within educational environments. This implementation not only results in an optimally functioning application but also demonstrates the effectiveness of MDLC in designing web-based solutions that support the interactive and informative delivery of educational content.
Deteksi Deepfake pada Gambar Medis Menggunakan YOLOv11 Pancadrya Yashoda Pasha; Ichsan Taufik; Aldy Rialdy Atmadja
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.2982

Abstract

Advances in artificial intelligence have given rise to challenges involving realistic deepfake images, extending into the healthcare sector. The contribution of this study lies in the implementation and performance analysis of YOLOv11 for detecting medical image deepfakes on a lung CT scan dataset covering variations of benign and malignant cases. The scope of the study is limited to binary classification between authentic and fake images, tested in a staged manner. CT-GAN and stable diffusion (SD) manipulation methods are employed to evaluate model performance. The results show that the YOLOv11 model achieves 100% accuracy, precision, recall, and F1-score on images manipulated using stable diffusion. In contrast, CT-GAN–based manipulations present challenges in distinguishing between authentic and fake lung cancer CT scan images. With further improvements and enhancements, fine-tuned YOLOv11 has the potential to become a relatively lightweight, fast, and accurate model for medical image deepfake detection. These results have the potential to support patient data security and maintain the integrity of clinical diagnostics in the future.
Penerapan Augmented Reality Sebagai Media Pembelajaran Untuk Pencegahan Bullying di Sekolah Dasar Dengan Metode MDLC Asep Deddy Supriatna; Muhamad Ridwan Firdaus
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.2998

Abstract

This study is motivated by the high incidence of bullying in elementary schools, which negatively affects students’ psychological, social, and academic aspects. Existing prevention methods have been less effective because they rely on one-way communication and lack interactivity, resulting in students having a limited understanding of the forms and impacts of bullying. This research aims to develop an interactive learning medium based on Augmented Reality (AR) to help students understand the forms, impacts, and ways to address bullying through a more engaging learning experience. The study employs the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The concept stage was carried out through literature review, observation, and teacher interviews. The design stage involved creating storyboards and user interfaces using Figma. During the material collecting stage, assets such as images, audio, narration, and videos were gathered. The assembly stage was conducted using Unity and markerless AR Vuforia, allowing 3D objects to be displayed on any surface without physical markers. Testing included Alpha Testing and Beta Testing with teachers and students, while the distribution stage was carried out by storing the application on Google Drive. The results show that the Stop Bullying application provides an interactive and easily understood learning experience. All features functioned properly during Alpha Testing, and Beta Testing involving 10 respondents resulted in a satisfaction level of 85.2% (Very Good category). The application has proven effective in helping students understand bullying material through visualization and simulation. This study demonstrates that the use of AR can enhance the effectiveness of social-emotional learning and support innovation in learning media in elementary schools.
Perbandingan Algoritma K-Means dan K-Medoids untuk Klasterisasi Daerah Rawan Bencana di Indonesia Riski Amalia; Muhamad Rizky Syawalludi; Gandung Triyono
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3007

Abstract

Indonesia is one of the regions with a high level of natural disaster risk because it is geographically located between three major tectonic plates of the world. This condition makes Indonesia vulnerable to various types of disasters that occur almost every year in different regions, resulting in material losses and casualties. This study aims to compare the performance of two clustering algorithms, namely K-Means and K-Medoids, in grouping provinces in Indonesia based on their level of vulnerability to natural disasters, evaluated using the Davies–Bouldin Index (DBI). The analysis results show that the K-Means algorithm provides the best performance with a DBI value of 0.3932 at K = 3, forming three main categories: provinces with low to moderate vulnerability (35 provinces), high vulnerability (2 provinces), and very high vulnerability (1 province). Meanwhile, the K-Medoids algorithm produces the lowest DBI value of 0.5860 at K = 2, which divides provinces into two major groups of disaster risk levels. Based on this comparison, K-Means is considered more effective for mapping disaster vulnerability levels in Indonesia because it is able to represent risk patterns in greater detail. These findings are expected to serve as a reference for relevant agencies in formulating mitigation strategies and determining priority handling for regions with high disaster risk.
Pengembangan Sistem Informasi untuk Otomatisasi dan Integrasi Proses Penjualan dan Pembelian Menggunakan Metode Agile Yunianita Rahmawati; Anis Farihah
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3052

Abstract

This study aims to develop a sales and purchasing information system using the Agile development method to overcome the problems of manual transaction recording that cause data inaccuracy and business process irregularities. The scientific contribution of this study is the successful application of the Agile method, which has resulted in a system with full automation and integration of the sales-purchasing process and a very high level of user acceptance. The Agile method was chosen because it allows for more flexible application development that is responsive to user needs. The application was tested using black-box testing and passed 100% of all functionality tests according to specifications. Usability testing through questionnaires resulted in a Grand Mean of 4.727 (scale of 5), indicating a “very good” rating from respondents, especially in terms of ease of use and calculation accuracy. These results confirm that the developed system not only solves practical problems but also contributes scientifically through the implementation of the Agile method, which has proven successful in the case of business process automation and integration.
Sistem Pelaporan Jalan Rusak Berbasis Web Dengan Peta Interaktif Menggunakan Metode Extreme Programming Rizki Saputra; Ridwan Setiawan
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3071

Abstract

Garut Regency faces problems with road damage, which affects community mobility and increases the risk of accidents. The reporting process has so far been conducted manually or via social media, making it difficult to track, poorly documented, and slow to follow up. This study aims to design and develop a web-based damaged road reporting system that can be accessed by the public and managed by the Public Works and Spatial Planning Office (Dinas PUPR) of Garut Regency. The method employed is Extreme Programming (XP) with the stages of Planning, Design, Coding, and Testing. The developed system provides features such as registration, login, report creation with photos, descriptions, damage levels, and automatic GPS-based location. Each report is verified by sub-district officers before being forwarded to the Dinas PUPR. The system also includes an interactive map powered by Leaflet.js, a commenting feature, and a WhatsApp icon for direct communication with reporters. System testing was conducted using Blackbox Testing with a State Transition Testing approach and the System Usability Scale (SUS) for user acceptance testing. The results show that all functions operate as designed, with an average SUS score of 85.8 (Grade A+, Best Imaginable). This study concludes that the developed web-based damaged road reporting system can improve the efficiency and transparency of the reporting process, accelerate follow-ups, and increase public participation. For the government, the system provides more accurate and well-documented report data, which can serve as a reference for prioritizing road repairs in Garut Regency.
Redesain UI/UX Website Sistem Informasi Gender Anak (SIGAB) Menggunakan Metode Design Thinking Fahmi Rizki Romdoni T; Puspita Nurul Sabrina; Rezki Yuniarti
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3100

Abstract

The need for transparency in gender data and child protection in Indonesia continues to increase along with the rise in cases of violence, gender inequality, and the demand for data-driven decision-making at the regional government level. The Gender and Child Information System (SIGAB) of Banten Province is an important instrument; however, the existing version still faces challenges such as complex navigation, less communicative data visualization, and low comprehensibility of the displayed indicators. This study aims to redesign the SIGAB interface using the Design Thinking method through five stages: empathize, define, ideate, prototype, and test. Data were collected through semi-structured interviews and questionnaires to identify user needs as the basis for solution formulation. The ideation stage produced concepts emphasizing simplified navigation, more informative data visualization, and the addition of insight text to facilitate indicator interpretation. The redesign resulted in four main pages—Main Dashboard, Gender, Children, and Sectoral—designed with an aesthetic and minimalist approach, clear information hierarchy, and thematic color palettes. Usability testing showed a significant improvement, with a Task Success Rate of 94% and an increase in the System Usability Scale (SUS) score from 58.7 to 85.5. These findings indicate that a Design Thinking–based redesign is able to enhance efficiency, comprehensibility, and user satisfaction in accessing gender and child data in Banten Province.

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