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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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Aceh's Historic Tourist Attractions: An Augmented Reality-Based Prototype of a Virtual Tour Application Anwar Anwar; Cut Adnin Nalisa; Hendrawati Hendrawati; Safriadi Safriadi; Muhammad Arhami
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6460

Abstract

Indonesia has attractive tourist destinations for tourism such as beautiful interior areas and historical places. The purpose of this research is to design and build a virtual tour application for Aceh tourism objects using augmented reality. One of the problems that occur in tourist objects is that foreign tourists do not have an idea about the tourist objects they want to visit. The technology used in this study and previous research is Augmented Reality, but previous research only displays 3D tourist objects, while in this study, augmented reality technology is incorporated into the design of the 4 Aceh tourist attractions by showing a 3-dimensional illustration of the object as a whole. for the outside of the building and displays a virtual tour image in the form of a video to illustrate the inside of the tourist attraction building on the Android mobile platform. Based on the results of distance and angle testing, the best (ideal) distance that produces clear and bright marker detection is found at a distance between 25 to 45 cm, while the best angle is between an angle with a slope of 0° to 60°. Measurements of distances and angles are carried out using threads, bows and measuring tapes. The 3D object is successfully displayed by pointing the camera at the marker to be detected. 
Identification of Pneumonia using The K-Nearest Neighbors Method using HOG Fitur Feature Extraction Nurul Khairina; Theofil Tri Saputra Sibarani; Rizki Muliono; Zulfikar Sembiring; Muhathir Muhathir
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6216

Abstract

Pneumonia is a wet lung disease. Pneumonia is generally caused by viruses, bacteria or fungi. Not infrequently Pneumonia can cause death. The K-Nearest Neighbors method is a classification method that uses the majority value from the closest k value category. At this time people are not too worried about pneumonia because this pneumonia has symptoms like a normal cough. However, fast and accurate information from health experts is also very necessary so that pneumonia symptoms can be recognized early and how to deal with them can also be done faster. In this study, researchers will diagnose pneumonia to obtain information quickly about the symptoms of pneumonia. This information will adopt human knowledge into computers designed to solve the problem of identifying pneumonia. In this study, the K-Nearest Neighbors method will be combined with the HOG Extraction Feature to identify pneumonia more accurately. The KNN classification used is Fine KNN, Cosine KNN, and Cubic KNN. Where will be seen how the value of accuracy, precision, recall, and fi-score. The results showed that the classification could run well on the Fine KKN, Cosine KNN, and Cubic KNN methods. Fine KNN has an accuracy rate of 80.67, Cosine KNN has an accuracy rate of 84,93333, and Cubic KNN has an accuracy rate of 83,13333. Fine KNN has precision, recall and f1-score values of 0.794842, 0.923706, and 0.854442. Cosine KNN has precision, recall and f1-score values of 0.803048, 0.954039, and 0.872056. Cubic KNN has precision, recall and f1-score values of 0.73388, 0.964561, and 0.833555. From the test results, positive and negative identification of pneumonia was found to be more accurate with the Cosine KNN classification which reached 84,93333.
Complimentary Split Ring Resonators Design On Patch Mikrostrip Antenna For Reducing Ads-B Antenna Dimension Habib Muharry Yusdartono; Andik Bintoro; Badriana Badriana; Ummu Handasah
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6141

Abstract

Microstrip Patch Antenna works for Automatic Dependent Surveillance – Broadcast (ADS-B) and antenna frequency resonances at 1.09 GHz. Microstrip Patch Antenna dimension has big shape for antenna micostrip resonancing frequency at 1.09 GHz. In order to Solve this problem, metamaterial is chosen and Complimentary Split Ring Resonators (CSRRs) is the one of metamaterial technique. Complimentary Split Ring Resonators CSRRs is derived from a Split Ring Resonator (SRR) compliment. Early dimension of Microstrip antenna substrate and patch are calculated by Equation that dimension of substrate is 137x130 mm and dimension of patch is 85x65. Dimension of SRR  that compliment  forms to CSRRs is 9x6 mm for SRR inner ring and 13x10 mm for outer ring. Microstrip antenna VSWR is 1.134 and  VSWR increases to 22,73 when CSRR is etched on antenna patch. In order to decrease antenna VSWR, optimation is applied by substrate and patch dimension iteration. Substrate and patch dimension Iteration is enlarge and reduce antenna  substrate and patch width and length.   Optimation result is VSWR that VSWR comes to 1,559 and substrate and patch dimension is reduced to 27,9% and 14,1%.
Purity Algorithm in Determining System of The Productivity of Rice Harvesting Areas in Kabupaten Aceh Utara Novia Hasdyna; Sujacka Retno
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6030

Abstract

Purity is an algorithm thatcan be used to measure the purity value of the data. This research aims to implement the purity algorithm to provide the information on the area of rice harvest productivity in Kabupaten Aceh Utara. The highest purity value indicates the highest harvest productivity area. With lower Purity value indicates lower harvest productivity areas. The data used in this research obtained from the Dinas Pertanian dan Pangan Kabupaten Aceh Utara in 2015-2019, which consists of 26 sub-districts. The results of this research indicate that the areas that are very productive in producing rice in Aceh Utara are based on planting area (ha), harvested area (ha), productivity (kw/ha), production (ton), and production presentation using Purity. In 2015, the highest purity value was in Muara Batu sub-district with a value of 0.742189869. In 2016, the highest purity value was in Sawang sub-district with a value of 0.732474998. In 2017, the highest purity value was in Sawang sub-district with a value of 0.732862423. In 2018, the highest purity value was in Muara Batu sub-district with a value of 0.742319507. In 2019, the highest purity value was in Tanah Luas sub-district of 0.735502499. The system created on web using the PHP programming language.
Implementasi Load Balancing Per address connection ECMP Algoritma Round Roubin Mikrotik Router Ahmad Fauzi; Dwi Yuni Utami
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6319

Abstract

Internet access is a basic need that must be owned by both individuals and companies because of how important internet access is so that a company can work, in the current digital era, when internet access for a company or individual is experiencing problems, due to the ISP (Internet Service Provider). If the network is down or disconnected, it can be said that all activities will be inefficient, hampered, cannot open email, cannot connect to the central server, even entrepreneurs with orders via online cannot sell, for that when internet access becomes a vital object for companies, it is necessary an internet access or more than one ISP can use two or more ISPs where many methods are used to combine two or more internet accesses into one network that is connected by a local network but a very good method is used to maximize the two or more ISPs a is to use the Load Balancing method using the ECMP round roubin algorithm on the Mikrotik router device so it is hoped that internet access will continue even though one of the ISPs is down or network disturbances.
Self Services And Monitoring Of Weak Heart Disease Based On The Internet Of Things And Mobile App Using Certainty Factor Somantri Somantri; Ikhsan Fazriawan; Adinda Laila Putri; Rafika Ariaty Maulani
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6195

Abstract

Heart disease can be suffered by anyone regardless of age and gender. Heart disease can be caused by many things, such as unhealthy lifestyles (smoking), as well as heredity. Low self-awareness of someone with weak heart disease to monitor their heart health regularly. To diagnose weak heart disease, this system uses the Certainy Factor method. With this method, patients can find out the results of the decision whether the patient is at risk of developing weak heart disease or heart health conditions in normal circumstances. This method can provide comparative results (and decision results) of several parameters (tested), one of which is the heart rate parameter. Therefore, the authors build a mobile application system with the concept of service and monitoring of weak heart disease named "iHeart". With this application, patients can monitor and detect weak heart disease and use various features (features) contained in the application. One of the iHeart application facilities is the GUI Chart for heart rate monitoring. This application can also accommodate the patient's heart rate history data into a database as a data storage medium. This application system uses IoT technology, which makes it easy for users or patients and practitioners to see the results of a heartbeat to find out whether a patient has a weak heart or not, in real-time via a smartphone (smartphone) without interfering with patient mobility.
Impact of Feature Selection Methods on Machine Learning-based for Detecting DDoS Attacks : Literature Review Muhammad Nur Faiz; Oman Somantri; Abdul Rohman Supriyono; Arif Wirawan Muhammad
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6112

Abstract

Cybersecurity attacks are becoming increasingly sophisticated and increasing with the development of technology so that they present threats to both the private and public sectors, especially Denial of Service (DoS) attacks and their variants which are often known as Distributed Denial of Service (DDoS). One way to minimize this attack is by using traditional mitigation solutions such as human-assisted network traffic analysis techniques but experiencing some limitations and performance problems. To overcome these limitations, Machine Learning (ML) has become one of the main techniques to enrich, complement and enhance the traditional security experience. The way ML works are based on the process of data collection, training and output. ML is influenced by several factors, one of which is feature engineering. In this study, we focus on the literature review of several recent studies which show that the feature selection process greatly impacts the level of accuracy of this ML. Datasets such as KDD, UNSW-NB15 and others also affect the level of accuracy of ML. Based on this literature review, this study can observe several feature engineering strategies with relevant impacts that can be chosen to improve ML solutions on DDoS attacks.
Analysis of Educator Readiness in the Online Teaching Learning Process Using Naïve Bayes Yuyun Yusnida Lase; Yulia Fatmi; Haryadi Haryadi; Arif Ridho Lubis; Santi Prayudani
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.5964

Abstract

This study discusses the readiness of educators in the online teaching and learning process. Samples of data were taken randomly as many as 100 (one hundred) people who were carried out using a questionnaire for educators at the junior high school level in the city of Medan. The variables used in the research are human resources, facilities and infrastructure, skills in applying technology, time management in online learning, the assessment process. Data processing and data analysis using nave Bayes algorithm. This algorithm is very well used for the process of classifying large amounts of data. The reason for using the nave Bayes algorithm in processing and analyzing data is because the way this algorithm works uses statistical and probability methods in predicting future results. The results of calculations using the nave Bayes algorithm based on the specified training data show that educators at the junior high school level are ready for the online learning process.
Augmented Reality for Topeng Malangan Face Recognition as a Media for Cultural Education Setiabudi Sakaria; Aldino Wildhan Kurniawan
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6218

Abstract

Topeng Malangan is one of Malang's original culture that needs to be preserved. However, the survey results show that 65.9% of respondents are not familiar with Topeng Malangan. Currently Topeng Malangan is less popular among the people of Malang city, because Topeng Malangan art is rarely performed and only a little introduced through dance learning in elementary schools. There are 76 Topeng Malangan figures with six famous figures, namely Raden Gunung Sari, Dewi Sekartaji, Dewi Ragil Kuning, Bapang, Panji Asmoro Bangun, and Klono Sewandono. This research produces face recognition software through Augmented Reality using a marker tracking model. Two-dimensional marker as the printed or the cellphone screen displayed figures, will be performed as a three-dimensional image of the mask face. In addition to three-dimensional images, figuring character information, text and sound are also showed according to the characteristics of the Topeng Malangan from Desa Kemantren Kecamatan Jabung, Kabupaten Malang, Jawa Timur. The blackbox testing of the application shows that all application parameters are functioning properly. This application can be used as a learning medium in the form of educational games about Topeng Malangan figures and culture
Design And Contruction of Waterbath Based Microcontroller I Made Agus Mahardiananta; I Gusti Agung Haryawan; Putu Deva Prihananta; I Nyoman Satya Indra Guna
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6176

Abstract

The existence of sophisticated equipment is always needed in the laboratory. Purpose is to support the laboratory and support the laboratory staff to work safely and comfortably. One tools commonly used in laboratory is waterbath. In this study, a microcontroller-based waterbath was designed which was equipped with time module for setting the heating time and buzzer as marker when the heating time was complete. In addition, this tool is also equipped with temperature settings from 400C - 950C. This research is an exploratory descriptive research The results of testing the waterbath tool show that the 5 minute time setting has an error percentage value of 3.5%, 10 minutes is 2.3%, 15 minutes is 0.05%, 20 minutes is 1.01%, 25 minutes is 0.001% and 30 minutes is 0.2%. Then the temperature test of 400C has a percentage error of 0.7%, 500C is 0.9%, 600C is 0.8%, 700C is 0.8%, 800C is 1.8%, 900C is 2.7% and 950C is 2.0%. In addition, this tool also meets the standard according to function with a size of 20x20x30cm which is ideal for operation.

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