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INDONESIA
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING
Published by Universitas Medan Area
ISSN : 25496247     EISSN : 25496255     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
JURNAL TEKNIK INFORMATIKA, JITE (Journal of Informatics and Telecommunication Engineering) is a journal that contains articles / publications and research results of scientific work related to the field of science of Informatics Engineering such as Software Engineering, Database, Data Mining, Network, Telecommunication and Artificial Intelligence which published and managed by the Faculty of Informatics Engineering at the University of Medan Area .
Arjuna Subject : -
Articles 412 Documents
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SIMPEDAK: Mobile-based Active Blood Donor Information Muhammad Zamroni Uska; Wirasasmita, Rasyid Hardi; Kholisho, Yosi Nur; Suryadiy, Muhammad Yusron
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 1 (2024): Issues July 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i1.12047

Abstract

Palang Merah Indonesia (PMI), especially East Lombok Regency, is one of the main forces in providing blood stocks for patients in every hospital. However, there is a lack of voluntary blood donors so far, information about blood needs is only via online media, WhatsApp and Instagram groups. This research aims to produce a mobile-based Active Blood Donor Information System (SIMPEDAK) in East Lombok Regency, and determine the feasibility of material experts, media experts and user responses. This type of research is research and development using the waterfall model starting from the analysis, design, code & testing, implementation, maintenance stages. The subjects in this study were 46 people consisting of 20 PMI members, 16 students and 10 members of the general public or patient families to determine user responses. Data collection techniques use questionnaires and data analysis uses quantitative descriptive. The results of our findings are in the form of a mobile-based SIMPEDAK application or system. The results of the feasibility test for material experts were 92.75% (very feasible) and the results of the feasibility test for media experts were 96.66% (very feasible). Meanwhile, user response results received a score of 81.72% (very good). Thus, it can be concluded that this application is very suitable for use and has a high response as a mobile-based SIMPEDAK among blood donors and the wider community.
Enhanced Bandwidth Rectangular U-Slot Microstrip Antenna at 26 GHz for mmWave 5G Amillia, Fitri; Mulyono, Muyono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 1 (2024): Issues July 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i1.12099

Abstract

5G wireless communication technology offers faster data transmission speeds, more stable connections, and greatercapacity and bandwidth compared to previous networks. However, more advanced antenna technology must bedeveloped to overcome propagation and bandwidth problems at mmWave frequencies. The antenna is the maincomponent of the 5G wireless communication system, which uses mmWave frequencies. The purpose of this research isto design a U-slot rectangular microstrip antenna to increase bandwidth at the 26 GHz frequency. The slot-U method onthe rectangular microstrip antenna patch is used to enhance bandwidth. To realize the research method, an antennawas designed without and with a U-slot using analytical calculations, then a simulation was carried out by comparingthe microstrip antenna designs with and without a U-slot, after which an evaluation of the performance of the antennaparameters was carried out. The simulation results show that the U-slot rectangular microstrip antenna design showsan increase in bandwidth, gain, and directivity of 119.14%, 42.66%, and 18.79%, respectively, compared to therectangular microstrip antenna without slots. The U-slot rectangular microstrip antenna design has succeeded inincreasing bandwidth and other performance parameters, so it can be recommended for mmWave 5G applications.
Arm Robot 5-DOF using Matlab GUI Text Commands Arnan, Arnan; Basri, Muhammad; Syafar, A. Muhammad
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.11521

Abstract

This research explores the relationship between Matlab programming language and robot arm control through string or word commands. Experiments were conducted with various commands to move the robot arm in the desired direction. The implementation of this system was tested on a robot arm equipped with a unique gripper for grasping and moving test tubes. Experimental results show that the system can recognize GUI text commands with a high accuracy of 98% in providing direction/action to the test tube according to the instructions given. Thus, incorporating the robot arm control method through string or word commands in the development of this system contributes positively to the precision and responsiveness of the robot arm control system. This research opens up opportunities for further growth in robotics, especially in chemical laboratory applications, where manipulating sensitive materials requires highly accurate control. The successful use of string or word commands in controlling robots offers the potential for widespread implementation in various fields that need responsive and efficient human-machine interaction. This study contributes to the robotics and automation development literature, combining chemical robot technology and Matlab to improve robot controllability. The results show that Matlab with string/word commands can effectively control the robot arm
The Design of Microstrip Antenna Using DGS and Series Parasitic Methods for C-Band Applications in Satellite Communications Rusdiyanto, Dian; Muslim , Muslim; Astuti , Dian Widi; Adhiyoga , Yohanes Galih; Apriono , Catur
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.12695

Abstract

This research proposes the design of a microstrip antenna for satellite communication that operates at C-Band frequency. The antenna is made of FR4 material with a thickness of 1.6 mm and has a permittivity of 4.4. The target C-Band frequency that can operate is in the range of 3.7 GHz - 8 GHz. To achieve this wide bandwidth, the defected ground structure (DGS) method is used which cuts the ground area under the substrate. Furthermore, to increase the antenna gain, the method of adding parasitic elements arranged in series (series parasitic) located at the top of the patch. The antenna design begins by designing the antenna in the DGS model and adding three parasitic elements where the basic shape of the parasitic elements has the same dimensions as the antenna patch. Then the development is created using a quarter of the patch dimensions which are added with nine parasitic elements. The simulation results show that the antenna with nine parasitic elements has an antenna bandwidth of 5.292 GHz in the range of 3.214 GHz - 8.506 GHz, where the maximum gain obtained is 8.6 dBi. While the development of an antenna with nine parasitic quarter-size patches has a bandwidth of 6.126 GHz in the frequency range of 3.344 GHz - 9.47 GHz with a maximum gain of 8.04 dBi. Therefore, it can be concluded that this research that designs antennas with the DGS method and series parasitic can operate at C-Band frequencies and can be applied to satellite communications.
Optimum Antenna Height for 5G Radio Networks Using the Spatial Multi-tier Microcell Method Mulyono, Mulyono; Oktaf B. Kharisma; Hasdi Radiles; Ahmad Faizal
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.12873

Abstract

The construction of macrocell towers in large numbers has become a concern for city governments in terms of aesthetics. In 5G network technology, with a higher operating frequency, the resulting coverage becomes smaller, allowing for a reduction in antenna height. This study aims to re-evaluate the optimum antenna height based on coverage proportion criteria. Coverage calculations were performed using the COST 231 Hata path loss model and the Kathrein 742215 antenna model. A cellular network with a coverage radius of less than 500 m can utilize an antenna height of 10 m, where the required transmission power tends to be low, such as 1-watt, and a downtilt angle of 0° is sufficient. As the required cell radius increases beyond 500 m, the antenna height also becomes higher, starting from 20 m, with transmission power ranging from 10-watts to 20-watts and a downtilt angle in the range of 6°. Research findings also indicate that previous methods for calculating antenna height overlooked overshooting in the subsequent tier areas. Based on this method, coverage can be adjusted by considering handover zones and overshooting beyond the first tier
Comparison of Shuffle Algorithms For Randomness, Time Complexity and Space Complexity Andriyat, Rio Andriyat Krisdiawan; sugiharto, tito
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.13179

Abstract

This research aims to compare the performance of three shuffle algorithms in the data randomization process. Efficient data randomization is very important in various applications, especially in the development of random data-based systems such as games, simulations, and data processing. This study uses a dataset of 1000 English words, which is broken down into several dataset sizes (100, 500, and 1000 elements). The research methods used include three types of tests: the Chi-Square Test and Runs Test to ensure randomization results; time complexity to measure execution time efficiency; and space complexity to analyze memory usage efficiency. Each test was repeated 1000 times to get accurate results. The results show that the LCM algorithm is the best-performing algorithm, producing the fastest execution time and stable memory usage. The Fisher-Yates Shuffle algorithm comes in second with good time efficiency. The conclusion of this research is that the LCM algorithm is recommended for applications that require fast and efficient randomization on large datasets, while the Fisher-Yates Shuffle algorithm can be a fairly efficient alternative. The Naive Shuffle algorithm, however, is not good for applications that require high speed. These findings provide important implications in the selection of optimal randomization algorithms for high-performance data-driven applications
Experimental Study: Acceptance of Student Moral Developing Through Games Education with Expectation Confirmation Theory Wibowo, Tony; Lijaputra , Delphy; Marcellino, Marcellino; Syahputra , Bayu
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.13204

Abstract

Students' moral development is an important aspect of education, especially in the digital era, where media plays a significant role in the formation of moral values. Video games as interactive media have become a potential tool for developing ethical and moral decision-making abilities. Video games offer a simulated environment that allows students to confront complex moral dilemmas, which have previously been shown to hone critical thinking skills. This study explores the acceptance of video games as a tool for developing students' moral reasoning, using the Expectation Confirmation Theory (ECT), Technology Acceptance Model (TAM), and DeLone and McLean Information System Success Model (D&M). Involving 150 students, the study measured constructs such as perceived usefulness (PU), perceived ease of use (PEOU), information quality (IQ), system quality (SQ), user satisfaction (US), intention to use (IU), and user behavior (UB). Results from SEM analysis showed that while perceived usefulness and ease of use positively influenced intentions to use, actual user behavior did not always align with these intentions after confirmation. However, user satisfaction remained a strong predictor of continued engagement. This emphasize the need for better alignment between user expectations and experiences. These findings highlight the potential of video games in moral education and suggest avenues for improving their design and implementation to enhance educational outcomes
Evaluation of Student Satisfaction with Computer Laboratory Facilities at UIN Sumatera Utara Using the C5.0 Algorithm Rizky, Ishlahiyah Nur; Zufria, Ilka
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.13211

Abstract

The evaluation of student satisfaction with the computer laboratory facilities at UIN Sumatera Utara is crucial for improving the quality of educational services provided by the institution. The main issue faced is the lack of accurate data regarding student satisfaction with the facilities available in the laboratory. This study aims to analyze the level of student satisfaction using the C5.0 algorithm, which is known for its effectiveness in data classification. The research methodology involves collecting data through a comprehensive survey covering various aspects of laboratory facilities, such as reliability, responsiveness, assurance, empathy, and tangibles. The survey was conducted with a number of students to obtain representative information about their satisfaction with the provided facilities. After data collection, data cleaning and processing steps were carried out to build a classification model using the C5.0 algorithm. The results of the study showed that the C5.0 model achieved a very high accuracy rate of 99.25%, with precision of 99.72% and recall of 99.45% on the training data. Meanwhile, on the testing data, the accuracy reached 97%, precision was 100%, and recall was 96%. These findings indicate that the model has a very high ability to accurately classify student satisfaction levels. In conclusion, this model can provide useful recommendations for the university to identify areas that need improvement to meet student expectations. The implication of this research is the importance of the continuous development of laboratory facilities to improve student satisfaction and create a more optimal learning experience
Data Mining with Logistic Regression and Support Vector Machine for Hepatitis Disease Diagnosis Amrin, Amrin; Rudianto, Rudianto; Sismadi , Sismadi
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.13218

Abstract

Hepatitis is a chronic and dangerous disease that can lead to death. Making early predictions to detect hepatitis is very important because many people still underestimate the disease. These predictions can be made by collecting patient data or health examination results, so that preventive measures can be taken faster and better. Early diagnosis of the disease is important for prompt management and treatment. The right stage of diagnosis activities and accurate disease prediction in time can save many patients. The magnitude of this disease problem in Indonesia can be known from various studies, studies, and disease observation activities. In this study, researchers will apply and compare data mining classification methods, namely the Logistic Regression method and Support Vector Machine to diagnose hepatitis disease. Based on the research, it is known that the Logistic Regression method has an accuracy rate of 84.62% and an under the curve (AUC) value of 0.841, then the Support Vector Machine method has an accuracy rate of 87% and an AUC value of 0.865. From the t-test results, it can be seen that there is no significant difference between the Logistic Regression and Support Vector Machine methods, because the value = 0.520>0.05. This shows that the Logistic Regression method has almost the same performance as the Support Vector Machine method. Hopefully the results of this research can help doctors determine a diagnosis more quickly and reduce the possibility of misdiagnosis so that early detection of hepatitis can be carried out more widely, especially in remote areas with limited health facilities
Risk Analysis In Indonesian Educational Online Learning Systems: A Systematic Literature Review Sama, Hendi; Tjahyadi, Surya; Titoni, Erica
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 2 (2025): Issues January 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i2.13239

Abstract

Over the past few years, the idea of online learning has gained popularity and due to the COVID-19 pandemic, has become essential everywhere, including in Indonesia. Nevertheless, the deployment of e-learning management systems has brought about several IT hazards that affect academic operations' user experience security and overall operational efficacy worldwide. This study uses a systematic literature review (SLR) of research publications indexed in Google Scholar to examine the possible dangers related to e-learning management systems in academic institutions. The classification, assessment, and identification of the hazards that educational institutions encounter while incorporating e-learning systems into their infrastructure are the main objectives of this study. Issues like operational failures, obsolete hardware and software, cybersecurity threats, network accessibility and stability concerns, data privacy, and illegal access are the main topics of this study. Additionally, this study highlights the necessity of more effective and focused risk mitigation techniques created especially to meet the demands of Indonesian academic settings

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