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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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Profile Matching in Government Scholarship Acceptance System for Student in Aceh Utara Sujacka Retno; Novia Hasdyna
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.v5i2.6031

Abstract

The scholarship program held to ease the burden of students in taking the study period, especially in terms of costs. This research conducted at SMP Negeri 7 Sawang – Paya Gaboh in Sawang sub-district, Kabupaten Aceh Utara. This research discusses the provision of educational scholarships from the government of Kabupaten Aceh Utara for students. Therefore, the researcher intends to offer a solution to determine the scholarship recipients at SMP Negeri 7 Sawang by applying the Profile Matching method to find the criteria for receiving the scholarship. The purpose of this research is to design and build a system to determine students who are entitled to receive the scholarships by applying the Profile Matching method based on core data and secondary factors. The implementation of the results of the criteria for the scholarship recipients will be processed using the Profile Matching method. It will produce an output that later assist the selection team in finding the scholarship recipients. The results of the research indicate that the use of the Profile Matching algorithm in finding scholarship recipients works according to the expected categories. The student with the highest score on rank is the first alternative that deserves to be the recipient of the government scholarship aid of Kabupaten Aceh Utara. The system is builtand implemented using PHP programming language.
Analysis Of Deep Learning Architecture In Classifying SNI Masks Fauzan Nurahmadi; Fahrurrozi Lubis; Pauzi Ibrahim Nainggolan
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.v5i2.6341

Abstract

In preparing for the new normal for COVID-19, every government agency, school and university will be required to comply with new regulations by the government, in which the government will oblige everyone who does activities outside the home to wear masks and practice physical distancing. This is one of the new habits that the government will familiarize with starting in 2020. Due to the ease with which the Covid-19 virus spreads. So the selection of a good mask is recommended good mask, namely a mask that follows the recommendations of the WHO at least 3 layers. The purpose of this study was to classify the types of SNI and non-SNI masks so that the presence of this SNI mask cluster monitoring system could improve security at locations that apply the use of masks and the masks used can function effectively to prevent the spread and spread of Covid-19, classification of research models it uses the InceptionV3, Resnet50, InceptionV2, AlexNet and DenseNet architectures. The results of trials that have been carried out by the InceptionV3 architecture have the most optimal accuracy with loss values of 3.4889 and 0.9894 (98.94%).
Systematic Literature Review of Critical Success Factors in Online Advertising Eryc Eryc
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.v5i2.6204

Abstract

Online Digital advertising is one method that is increasingly popular in the era of digital transformation that is currently underway. This causes companies to compete in developing digital business strategies, especially in terms of marketing. Online advertising aims to be effective in a cost-effective manner to effectively reach the intended target market segments. Previously, there had been a lot of research on online advertising that could help research or companies in developing their marketing strategies. It is necessary to review the literature on online advertising from these previous studies so that information is classified and categorized systematically. This study aims to provide information by conducting a Systematic Literature Review (SLR) on the latest research on online advertising from 2015 to 2020 in order to find out online advertising indicators that are still relevant and objective to achieve marketing strategy goals. Systematic Literature Review (SLR) approach which includes research questions, journal sources, preparation. Researchers analyzed the factors that determine success in the latest online advertising using the Systematic Literature Review (SLR) method. This research is useful for reviewing academic literature for online advertising research and as a reference for companies in increasing advertising effectiveness as part of a business strategy or marketing advantage in market competition. 
OpenCV Using on a Single Board Computer for Incorrect Facemask-Wearing Detection and Capturing julham -; Meryatul Husna; Arif Ridho Lubis
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.v5i2.6118

Abstract

OpenCV (Open Source Computer Vision Library) is a software library intended for real-time dynamic image processing, created by Intel. In this study, the library will be used to detect the face, nose and mouth. Furthermore, the system is equipped with the knowledge that if the mouth and nose or one of them is detected, then the face has not used the mask correctly and the system records the face. The system is supported by an image capture device in the form of a camcorder, a processing device in the form of a single board computer, such as a Raspberry Pi and a display device in the form of a monitor. And the result is that the system is able to make a decision whether the face is wearing a mask correctly or not. By means of labeling around the face in the form of red angular lines, if not properly use the mask. The success rate is 88.4% using detector parameters, namely: scale factor = 1.1 for all face, nose and mouth object libraries.
Microstip Antenna Reflection Coefficient with X Slot Addition Method for 5G Connection Yessi Kartini Gultom; Syah Alam; Indra Surjati
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.v5i2.5944

Abstract

The development of cellular technology has now entered the 5th generation (5G), this 5th generation provides 3 types of services, eMBB (enhanced Mobile BroadBand), URLLC (Ultra-Reliable and Low-Latency Communications) and mMTC (massive Machine Type of Communications).  One of the important devices in 5G technology is an antenna device which is able to support these 3 services. 5G technology requires an antenna that has high performance. There are various types of antennas, one of which is a microstrip antenna. Microstrip antenna is one of the most widely used antennas in telecommunications because of its light mass, small dimensions and easy fabrication. There are various ways or methods that can be done to overcome the narrow bandwidth of microstrip antennas, by increasing the thickness of the substrate, using parasitic elements, reducing the value of the dielectric constant, adding inserts to the feeder, or by modifying the patch by adding slots on the patch antenna. In this study to improve the performance value of the microstrip antenna, the researchers discussed increasing the reflection coefficient by adding X Slots to a microstrip antenna with a working frequency of 3.5 GHz for 5G communication. The results of this study showed an increase in the reflection coefficient of 67%, and an increase in bandwidth of 5%.
Implementation of Logistic Regression Classification Algorithm and Support Vector Machine for Credit Eligibility Prediction Amrin - Amrin; Omar - Pahlevi
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.v5i2.6220

Abstract

Credit is a provision of money or bills that can be equated with it, the provision of loans or credit. A good credit analysis is very necessary, because it is one of the most important processes in the form of an investigation regarding the smooth or substandard credit repayments. The stages of identifying and predicting customers properly and correctly can be done before the loan process. This is done by examining the historical data of the customer's loan. At this time this activity is an effort made by the banking industry in dealing with credit risk problems. In this research, researchers will apply several data mining classification methods, including Logistic Regression algorithms and Support Vector Machines to predict creditworthiness. The dataset used 481 record motorized vehicle loan data, both problematic and non-problematic. The input variables in this study consisted of thirteen variables, including marital status, number of dependents, age, residence status, home ownership, occupation, employment status, company status, income, down payment, education, length of stay, and housing conditions. From the results of research and testing, the performance of the Logistic Regression model for predicting creditworthiness provided an accuracy rate of 94.81% with an area under the curve (AUC) value of 0.987. While the performance of the Support Vector Machine model provides an accuracy of 94.19% with an area under the curve (AUC) value of 0.978. Based on the T-Test test, the Logistic Regression method has the same performance compared to the Support Vector Machine.
Mapping of Landslide Areas Using Geographic Information Systems In Kebonharjo Kulon Progo Regency Pramudya Bagas Utama
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.v5i2.6205

Abstract

Indonesia is a country that is surrounded by a ring of volcanoes or commonly known as a ring of fire, the implication is there are many disaster caused by tectonic processes such as collisions between plates, earthquakes, and landslides. Landslides are disaster that often occur in Indonesia, especially the study area in Kebonharjo Village. Disaster events cause damage to both the physical and non-physical environment. The mapping of the area used the Geographic Information System method based on actual data provided by the Regional Disaster Management Agency of Kulon Progo Regency in the form of hamlet areas that are prone to landslides and areas that occur landslide disaster. Other data is data from the Geospatial Information Agency to facilitate direct observation and mapping in the research field. The method used is a survey method with a quantitative and qualitative analysis approach. Qualitative analysis was carried out using the method of analyzing the topography and geomorphology of the research area. Quantitative analysis was carried out based on landforms classified with aspects of slope, rock type, soil type, and rainfall intensity. The results of the analysis of these data will produce a landslide hazard map in the research area as a reference that can be used by the local government to determine appropriate environmental management strategies and policies in Kebonharjo Village.
Predicting Consumer Interest in All You Can Eat Restaurants with Gradient Boosting Algorithm Yefta Christian
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7209

Abstract

The rise of businesses in the food industry makes industry players think creatively. One of the trends in this industry is the “All You Can Eat” restaurant with its various variations. This type of restaurant is considered capable of being an attraction for consumers because consumers can eat every dish as much as they want without a limit on the amount. However, it is difficult to map out the factors that make consumers want to come back to the restaurant. This research will build a web application with machine learning features using the Gradient Boosting algorithm that can map whether consumers will come back or not, so that restaurant businesses can use this application to continuously improve the performance of their restaurants.
Design and Development of Documentary Video in Batam as Dark Tourism Promotion Media Hendi Sama; Zulkarnain Zulkarnain; Felix Agusta Putra
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.5395

Abstract

Tourist destinations are zones that are directly designated and advertised as tourist destinations, and all tourism products are sold by a specific group of tourists who wish to visit a tragic place and know the meaning of the event. It is arranged. , happened in this place. The development of dark tourism can increase foreign tourist visits which can be used as an economy related to the government by attracting foreign tourists who want to provide foreign exchange for dark tourism, including remote areas. I can do that. The author uses the flow of literature study and subsequent problem-solving. This continues and is improved up to the implementation stage and ends at the dissemination stage. There are still many who don't understand how to attract tourists' attention from dark tourist destinations, whether it's shooting a film in the form of a vintage color gradation video with a frame, or using R&D using R&D. Check out the research flow by starting research and dividing the time, looking for stories about the place, and news about the ghost town of Batam calm and explore with the team of ghost hunters of Batam city. While exploring the ghost places of Batam City, unexpected things and events such as camera battery running low while recording, the crew being disturbed by ghosts, and things that are not nearby are crime scenes. Events that require you to bring safety equipment and lighting, as this is an unplanned event.
Twitter User Sentiment Analysis on the Mysterious Hepatitis Issue Rstudio Muhammad Khahfi Zuhanda; Desniarti Desniarti; Muhammad Hafiz
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7326

Abstract

In the past few years, Corona Virus Disease 2019 has become the most psychologically disturbing issue for Indonesian people since they first entered Indonesia in early 2020. After starting to subside in 2022, there is now a new issue, namely Mysterious Hepatitis, a frightening specter for parents. This mysterious hepatitis attacks many children and causes death. Social media is a source of Big Data. Media such as Twitter have been used to collect and analyze user data for several different purposes. Data can be used to analyze people's opinions on specific topics and incidents by applying sentiment analysis. Certain helpful information can be extracted from the analyzed data. The purpose of this study is to explore public or netizen opinions regarding mysterious hepatitis via data from netizens' tweets on Twitter. The method used in this research is to collect tweets, then clean the tweets, and finally analyze the data that has been processed via RStudio. The results of this study provide information that the words that often appear are acute, child, case, and health. From bigrams, related words often appear acute hepatitis, mysterious hepatitis, acute mysterious, children, and covid 19. By analyzing the type of emotion using the NRC Word-Emotion Association Lexicon method, Twitter users also provide various emotions related to the #HepatitisMysterius issue, including eight positive emotional responses and six positive emotional responses. “Fear” was the most frequent emotion followed by “anticipation”, “trust”, “surprise”, “anger”, “disgust”, “sadness” and “joy”. From the results of this study, it also informs the advice to be careful with this mysterious hepatitis, because there is advice on being alert for hepatitis and taking care of your health

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