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Laurentius Kuncoro Probo Saputra
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Jurnal Terapan Teknologi Informasi (JUTEI) Fakultas Teknologi Informasi, Universitas Kristen Duta Wacana, Yogyakarta Email: jutei@fti.ukdw.ac.id
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JUTEI (Jurnal Terapan Teknologi Informasi)
Published by Universitas Kristen Duta Wacana
ISSN : 25793675     EISSN : 25795538     DOI : https://doi.org/10.21460/jutei
Core Subject : Science,
Computer Science & IT
Jurnal Terapan Teknologi Informasi (JUTEI) is a journal focusing on theory, practice, and methodology of all aspects in Information Technology and Computer Science, as well as productive and innovative ideas related to new technology and applied sciences. This journal is managed by the Faculty of Information Technology, Duta Wacana Christian University. The subject of articles may cover, but is not limited to: -Artificial Intelligence -Business Intelligence -Cloud & Grid Computing -Computer Networking & Security -Computer Vision -Datawarehouse & Datamining -Decision Support System -Digital Signal Processing -E-System -Enterprise Architecture -Enterprise System (SCM, ERP, CRM) -Human Computer & Interaction -Image Processing -Information Retrieval -Information System -Information Systems Audit -Internet of Things -Knowledge Management -Mobile Computing & Application -Multimedia System -Open Source System & Technology -Semantic Web -Software Engineering -User Interface/ User Experience (UI/UX)
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 9 No 2 (2025): Jurnal Terapan Teknologi Informasi" : 5 Documents clear
Komparasi Kinerja Interior Gateway Protocol Berbasis Distance Vector dan Link State pada Arsitektur Video Streaming Berbasis Wireless Network Jamaluddin; Rohmat Gunawan; Firmansyah Maulana Sugiartana Nursuwars
Jurnal Terapan Teknologi Informasi Vol 9 No 2 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.92.427

Abstract

The rapid growth of video streaming services necessitates a reliable network architecture to guarantee Quality of Service (QoS). Inter-network connectivity is achieved through routing technologies, particularly the Interior Gateway Protocol (IGP), which includes dynamic protocols such as the Distance Vector-based RIPv2 and the Link State-based OSPF. This research aims to analyze and compare the performance of the RIPv2 and OSPF routing protocols within a wireless video streaming architecture. The research methodology employs the PPDIOO (Plan, Prepare, Design, Implement, Operate, Optimize) approach developed by Cisco. Testing was conducted under three scenarios: normal conditions, with interference, and with a main path cutoff. Under normal conditions, OSPF demonstrated superiority with a throughput of 2,6277 Mbps, a packet loss of 1,17%, a delay of 3,128 ms, and a jitter of -0,000334156 ms, outperforming RIPv2. When subjected to interference, OSPF maintained its lead with a throughput of 2,5735 Mbps and a packet loss of 3,18%; however, RIPv2 showed a lower jitter value in this scenario. The main path cutoff scenario revealed OSPF's significant superiority. OSPF's throughput was recorded at 1.8014 Mbps, whereas RIPv2's was only 0,6514 Mbps. Furthermore, OSPF's packet loss (31,70%), delay (4,568 ms), and jitter (-0,702716406 ms) were substantially lower than those of RIPv2, which experienced drastic performance degradation. The research findings consistently indicate that OSPF delivers superior, more stable, and efficient performance in maintaining the Quality of Service for video streaming across various network conditions.
Perancangan Website TMLESS Studio dengan Metode Design Thinking Yohanes Tennary Rinto Pradhana; Joko Purwadi; Raden Gunawan Santosa
Jurnal Terapan Teknologi Informasi Vol 9 No 2 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.92.378

Abstract

TMLESS Studio is an entertainment company based in Yogyakarta, Indonesia, which is engaged in content creation ranging from films and music videos to series and documentation. The documentation service offerings provided by TMLESS Studio are still carried out by introducing themselves directly to prospective customers or with the help of old customers who recommend their services to prospective customers. TMLESS Studio has tried to use social media as a marketing medium, but this is still considered to have no impact on service sales. The solution that will be carried out to help solve this problem is to design a website to display complete information on TMLESS Studio's work and documentation service offerings in one area. The TMLESS Studio website will be designed using the Design Thinking method which includes 5 stages, namely empathize, define, ideate, prototype, and test. At the test stage, testing will be carried out using the Single Ease Question (SEQ) using the help of Google Sites and Google Form to find out whether the tested website can overcome the initial problem. The results of the SEQ respondent data average test show that the website being tested is in the very easy category (average = 6.19). The results of the average test of Tasks 5, 6, 7, and 8 regarding information on works and services offered by TMLESS Studio are in the very easy category. The results of this test show that the application of the stages of the Design Thinking method and the implementation of SEQ in the design of the TMLESS Studio website being tested has succeeded in overcoming the problems and can be used as a permanent TMLESS Studio website.
Penerapan Framework Rasa untuk Membangun Sistem FAQ Bot Sebagai Layanan Informasi BIRO 3 Talenggoran, Rivai; Krisnawati, Lucia D.; Virginia, Gloria
Jurnal Terapan Teknologi Informasi Vol 9 No 2 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.92.431

Abstract

Duta Wacana Christian University (UKDW), specifically Bureau 3 (BIRO 3), provides a variety of information services accessible through both online channels, such as Instagram, WhatsApp, and email, and offline methods. However, BIRO 3 has not yet implemented an FAQ Bot system, which means that frequently asked questions are still answered manually. This practice renders the question-and-answer process regarding campus information repetitive and time-consuming. This research aims to implement the RASA Open Source framework to develop an FAQ Bot system to automate the retrieval of information for frequently asked questions at BIRO 3, thereby enhancing the efficiency of its information services. The system was developed using RASA Open Source and implemented on the Telegram messaging platform. The evaluation was conducted through a two-fold approach. First, internal testing of the RASA model on the validation dataset yielded optimal results, achieving accuracy, precision, and F1-scores of 1.000. On the test data, the model demonstrated strong performance with an accuracy of 0.915, a precision of 0.928, and an F1-score of 0.912. Second, functional testing was performed by engaging users in predefined scenarios. This second phase of testing resulted in a functional accuracy of 95% based on 200 collected data points. The user testing results indicate that the FAQ Bot system was successfully developed and capable of achieving a functional accuracy rate of 95%. Despite its high performance, limitations were identified in the form of eleven false positive and false negative cases out of the 200 data points. This suggests that the model has not yet perfectly learned to comprehend all variations of user input. Therefore, recommendations such as expanding the training dataset and exploring modifications to the RASA Open Source framework are proposed to refine the system's capabilities, enabling it to handle all types of inquiries accurately.
Implementasi Transfer Learning Pada AlexNet Untuk Klasifikasi Motif Batik Yogyakarta Cahyaningtyas, Angela Gracia; Suwarno, Sri; Susanto, Budi
Jurnal Terapan Teknologi Informasi Vol 9 No 2 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.92.432

Abstract

This study discusses the implementation of Transfer Learning using the AlexNet architecture for classifying Yogyakarta Batik motifs, specifically Kawung, Parang, and Truntum. The dataset consists of 1,110 batik images that underwent preprocessing, augmentation, and data splitting. The research was conducted in two main experimental scenarios: applying Average Pooling and Max Pooling with a more complex classifier, and training the model without additional pooling layers using a simpler classifier. Furthermore, the experiments compared the model’s performance across different frozen layers and two optimizers (Adam and SGD). The results show that the best configuration was obtained using the SGD optimizer with Average Pooling and three frozen layers, achieving a test accuracy of 99.10%. In contrast, the Adam optimizer tended to produce lower and less stable performance. Experiments without pooling also reached high accuracy, but were less optimal than those with pooling. Therefore, this study demonstrates that the choice of pooling technique, classifier complexity, frozen layers, and optimizer plays a crucial role in achieving optimal performance of AlexNet for Batik classification.
Analisis Deret Waktu Aktivitas Communication Log pada Sistem Penerimaan Mahasiswa Wulandari, Kristina
Jurnal Terapan Teknologi Informasi Vol 9 No 2 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.92.435

Abstract

Digital communication analysis within university admission systems plays a crucial role in understanding the effectiveness of interactions between prospective students and the integrated admission platform. This study aims to analyse the time series patterns of communication activities recorded in the admission system’s communication logs from two years. A quantitative descriptive time series approach was employed, focusing on the frequency of activities based on daily, weekly, and hourly intervals, as well as calculating the time differences between logs to measure user interaction intensity and response speed. The results indicate a significant increase in communication activity prior to the enrolment period, with the highest frequency observed in Week 41 of 2021 and Week 3 of 2022. The analysis of time differences between logs reveals noticeable variations in user behaviour, where some applicants demonstrated long interaction gaps, while others exhibited high and continuous system engagement. These variations highlight differences in user involvement levels during the digital communication process within the admission stages. This study contributes to a deeper understanding of user interaction patterns in integrated admission systems and serves as a basis for developing strategies to enhance user experience through optimized notifications, adaptive system responsiveness, and interface designs tailored to user behavior.

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