cover
Contact Name
Laurentius Kuncoro Probo Saputra
Contact Email
jutei@fti.ukdw.ac.id
Phone
-
Journal Mail Official
jutei@fti.ukdw.ac.id
Editorial Address
Jurnal Terapan Teknologi Informasi (JUTEI) Fakultas Teknologi Informasi, Universitas Kristen Duta Wacana, Yogyakarta Email: jutei@fti.ukdw.ac.id
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
JUTEI (Jurnal Terapan Teknologi Informasi)
ISSN : 25793675     EISSN : 25795538     DOI : https://doi.org/10.21460/jutei
Core Subject : Science,
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)
Articles 102 Documents
Penelitian Artificial Intelligence untuk Satelit Komunikasi menggunakan Jaringan Syaraf Tiruan (JST) Jonathan Sinaga, Tommy
Jurnal Terapan Teknologi Informasi Vol 8 No 2 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.82.334

Abstract

Satellite Communications offers the promise of periodic continuous service in uncovered and covered areas, with service scalability. However, several issues must be addressed first to realize these benefits, such as resource management, network control, network security, spectrum management, and satellite energy usage are more difficult compared to terrestrial networks. Meanwhile, artificial intelligence (AI), which includes deep machine learning, and security learning continues to grow as a research field and has shown a wide range of results in various applications, including wireless communications. In particular, the application of AI to various aspects of satellite communications is showing excellent potential, including beam- hopping, anti-jamming, network traffic forecasting, channel modeling, telemetry mining, ionospheric scintillation detection, interference management, remote sensing, behavioral modeling, space-air-ground integration, and energy management. This work provides an overview of AI and its diverse sub-fields, and modern algorithms. Some of the problems encountered in various aspects of satellite communication systems are discussed, and proposed and potential AI-based solutions are presented. Finally, an outlook on the field is described, with future steps expected.
Analisis Penghematan Daya Listrik dengan Implementasi FX-80 Supervisor Controller pada Sistem Water Chiller Yoshua, Axel; Wahab, Wahidin; Hugeng
Jurnal Terapan Teknologi Informasi Vol 8 No 2 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.82.358

Abstract

This research aims to analyze electrical power consumption and cooling system efficiency between the FX-80 Supervisor Controller and a system without a controller in the field. Measurements are carried out for one year by taking data on electrical power consumption and Coefficient of Performance (COP) every month. The research results show that the system with the FX-80 Supervisor Controller consumes lower electrical power and has a higher COP than the system without the controller.  The higher efficiency of systems with controllers represents significant energy savings potential for companies. This research recommends the use of controllers in cooling systems to increase energy efficiency.
Perancangan Aplikasi Website Pengelolaan Surat Masuk dan Keluar Dengan Menggunakan Metode Design Thinking Studi Kasus: Rektorat UKDW Priagung Satriyotomo; Mahastama, Aditya Wikan; Santosa, R. Gunawan
Jurnal Terapan Teknologi Informasi Vol 8 No 2 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.82.366

Abstract

Letters are one of the most common forms of communication in people's daily lives. Activities related to letters are commonly referred to as correspondence. Duta Wacana Christian University Yogyakarta is one of the institutions where correspondence activities are still carried out for internal organizational purposes Initially, correspondence activities at UKDW were still done manually by using physical letters, which were sent to the intended address by asking people to deliver them directly. However, the correspondence process is becoming less efficient. The process that must be passed is quite long, so it takes a lot of time and energy. This incoming and outcoming lettters management website was designed to help and facilitate UKDW employees in carrying out correspondence activities, which were formerly performed manually, through the use of a website. This research uses design thinking as the design method. The Design Thinking method consists of several steps: Empathize, Define, Ideate, Prototype, and Testing. For the testing phase, the author uses the Usability Testing as a method to evaluate the effectiveness, efficiency, and user satisfaction of the website.
Analisis Penggunaan Sumber Daya Pada Jetson Nano Untuk Sistem Pengenalan Wajah Wijaya, Dion Dwi; Hugeng; Utama, Hadian Satria
Jurnal Terapan Teknologi Informasi Vol 8 No 2 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.82.374

Abstract

Jetson Nano, a Single-Board Computer or SBC developed by NVIDIA, is used to implement a face recognition system that requires large computing resources. This research aims to analyze the resource usage on the Jetson Nano during the running of the face recognition system, including CPU usage, GPU, memory, and power consumption. Monitoring data was obtained using Jtop software to record real-time resource usage and a wattmeter for electrical power consumption. The results showed that the Jetson Nano CPU performed consistently with an average utilization of 77.14%, reflecting an even distribution of workload. The GPU showed an average utilization of 44.05% with higher fluctuations, indicating variations in graphics workload intensity. Memory was used close to the maximum capacity of 4 GB, with an average utilization of 3.75 GB, indicating efficient memory management. Average power consumption was recorded at 8.56 Wh, confirming the energy efficiency of this device. This study concludes that the Jetson Nano is capable of running the facial recognition system stably and efficiently, although there is room for further optimization on GPU load distribution and memory management. With its high power efficiency, the Jetson Nano is an ideal solution for artificial intelligence-based applications with low power requirements.
Pengaruh Pendekatan Test Driven, Behavior Driven dan Model Driven terhadap Pengembangan Perangkat Lunak Metode Scrum Waluyo, Prihadi Beny; Indriyanta, Gani; Tampubolon, Karel
Jurnal Terapan Teknologi Informasi Vol 8 No 2 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.82.385

Abstract

This study examines the impact of integrating Test-Driven Development (TDD), Behavior-Driven Development (BDD), and Model-Driven Development (MDD) methodologies within the Scrum framework on the effectiveness and efficiency of software development. Through comprehensive literature analysis, this research explores how each methodology strengthens specific aspects of the Scrum process. TDD was found to enhance the reliability and accuracy of development with an emphasis on continuous testing, while BDD improves communication and collaboration among stakeholders by using clear and easily understandable language. MDD provides an efficient mechanism to address complex system designs through abstract models that are automatically converted into code. The findings indicate that the integration of these three methodologies significantly improves the quality and speed of development by leveraging the specific strengths of each methodology to optimize the development cycle in Scrum projects. The implications of these findings are relevant for practitioners engaged in Agile software development as well as academics interested in further research on development methodologies
Pembuatan Sistem Penerimaan Peserta Didik Baru SMP Maria Immaculata Berbasis Website F. Yogiswara Adinugraha P; Yuan Lukito; Joko Purwadi
Jurnal Terapan Teknologi Informasi Vol 9 No 1 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.91.386

Abstract

The research aims to develop a student admission system for Maria Immaculata Junior High School to improve the current inefficient process relying on Google Forms and manual document submission. In This Article, The waterfall methodology will be employed for system development, while questionnaires and usability testing will be used for user evaluation then using through questionnaires and usability testing. The research will involve PPDB (Penerimaan Peserta Didik Baru) staff and parents as respondents. Initial requirements will be gathered through observation and interviews with PPDB committee members. After analysis, the system's database and user interface will be designed and implemented. Testing will be conducted with PPDB staff to obtain feedback and make necessary improvements who can impacted to School or programs. Finally, the system will be deployed for public use. The system's usability was evaluated through questionnaires and usability testing. The results indicate high levels of ease of use, ease of learning, usefulness, and satisfaction, with an overall usability score of 83%. This suggests that the developed system is effective and well-received by users.
Perancangan Komponen Dashboard Transaksi Perdagangan Tembakau Untuk Pedagang Atisanta, Damianus; Sebastian, Danny; Nila, Maria
Jurnal Terapan Teknologi Informasi Vol 9 No 1 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.91.388

Abstract

The tobacco industry involves farmers, traders, and factories as its three main sectors. Currently, management at Simbako relies on spreadsheet-based processes, making decision-making less efficient. To address this issue, research was conducted to design a transaction Dashboard aimed at visualizing data in real-time. This study focuses on presenting data related to transactions, debts, and tobacco distribution. The resulting Dashboard assists traders in managing the company and modernizing tobacco trade operations at Simbako. This study was designed using the Rapid Application Development (RAD) method, with usability evaluation through Think Aloud Testing and interviews. The system being tested involved tobacco traders from SIMBAKO Company. This study was conducted with a total of 19 Task Scenarios based on the established Metrics, The outcome of this research consists of improvement recommendations for the features and components of the SIMBAKO company's Dashboard.
Optimasi Akurasi Koefisien Pajak Kendaraan Bermotor di Indonesia Menggunakan Metode Klasifikasi dan Regres Togatorop, Joiner Tennye Ariel; Chrismanto, Antonius Rachmat; Raharjo, Willy Sudiarto
Jurnal Terapan Teknologi Informasi Vol 9 No 1 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.91.389

Abstract

The growing awareness of the impact of motor vehicle emissions on the environment has encouraged Indonesia’s Ministry of Environment and Forestry to enforce emission testing regulations. These emission standards serve as a basis for calculating Motor Vehicle Tax (PKB). The Transportation Technology Research Center (BRIN) developed a tax coefficient prediction system to support this policy. Initial research utilized Orange Data Mining for machine learning analysis with algorithms like Random Forest, Neural Network, and AdaBoost. However, Orange Data Mining has limitations in flexibility, particularly in parameter tuning and preprocessing data, as well as inefficiencies in handling large datasets. This study adopts a more flexible approach, employing AutoML LazyPredict for quick identification of optimal models and GridSearchCV for hyperparameter optimization. The methodology involves two approaches: classification and regression. Classification employs models such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Extra Tree, and LightGBM, while regression utilizes Support Vector Regressor (SVR) optimized with GridSearchCV. Both approaches enable a comprehensive comparison and analysis of model performance. The results indicate that SVM and Decision Tree excelled in classification, achieving an accuracy of 100%. In regression, the models demonstrated high 16 performance with R² values ranging from 0.95 to 1.00, indicating exceptional predictive accuracy. Evaluations were conducted using metrics such as MAE, MSE, and R² for regression, along with accuracy scores and classification reports for classification tasks. This research underscores the effectiveness of machine learning model optimization, with both analyzed algorithms showing outstanding performance for classification and regression tasks.
Pengembangan Chat Bot Telegram Untuk Admisi UKDW Andersen; Raharjo, Willy Sudiarto; Nendya, Matahari Bhakti
Jurnal Terapan Teknologi Informasi Vol 9 No 1 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.91.397

Abstract

The Admissions and Promotion Office of Universitas Kristen Duta Wacana (UKDW) Yogyakarta serves as a service unit for the admission and registration of prospective students. Currently, information related to new student admissions is provided through physical services, direct contact, and social media. However, using social media requires human resources and time to respond to every inquiry from prospective students. To improve responsiveness, an automated system in the form of a Telegram Bot has been developed. This Telegram Bot is designed to provide fast and automated new student admission information services. Through the integration of AWS services, such as Lambda and DynamoDB, the bot can process user inputs in real-time and deliver relevant answers without manual intervention. This system is expected to support the Admissions Office in providing modern services to prospective students
Desain Model Relational Database Perpustakaan SMP Negeri 13 Tarakan menggunakan Metode Database Life Cycle Syaddam; Yusril, Muhammad; Kawuta, Agustinus Jimi Jon; Banni, Sehlmi Duwiputri; Ratu, Yakobus Silfianus
Jurnal Terapan Teknologi Informasi Vol 9 No 1 (2025): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2025.91.398

Abstract

The library is a essential educational service unit supporting schools' learning and teaching process. As a source of information and knowledge, the library provides various resources, such as books, journals, and other learning media, which can be utilized by students, teachers, and school staff to enrich their insights and improve the quality of education. This study uses the Database Life Cycle method to design an effective and integrated relational database model for the school library system. This method includes the stages of needs analysis, conceptual design, logical design, physical design, and implementation and testing. Through the design and implementation process, a library database model is produced consisting of 8 main tables, the table is anggota, jenis anggota, siswa, guru, staf_tu, buku, letak_buku, and peminjaman. These tables are related to each other to maintain data integrity and facilitate the process of processing information related to the library. The final results show that the designed library database can support all library activities and services effectively, from member data management, book catalogs, and borrowing to reporting. This database has been proven to receive data well through testing and is ready to be implemented in a more comprehensive library information system.

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