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INDONESIA
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING
Published by Universitas Medan Area
ISSN : 25496247     EISSN : 25496255     DOI : -
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 .
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Articles 436 Documents
The Decision on the Selection of the Best Cellular Card Operator Internet Package Using the Analytical Hierarchy Process (AHP) Method Rudianto Rudianto; Haryanto Haryanto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.543 KB) | DOI: 10.31289/jite.v4i1.3921

Abstract

The development of smartphone users who are used for internet access and social media is growing rapidly. So many internet data package providers issued by cellular card operators such as Indosat Ooredoo, Smartfren, Telkomsel, Tri and XL Axiata are competing to provide internet access services to consumers with competitive tariffs, quotas, active periods, speed of access, and promos Another interesting thing is that consumers feel confused and have difficulty in determining and selecting cellular card operators in accordance with the desired criteria, the reason being that there are many cellular card operators provided by telecommunications, so Analytical Hierarchy Process (AHP) methods are needed to solve the problem. The purpose of this study is to assist consumers in choosing internet packages on cellular card operators that suit their needs and make it easier for consumers to make decisions from a variety of criteria using the AHP method. The results of this study from many selected keriteria were chosen quickly and validly that Telkomsel became the best solution for internet package choices by 28% compared to 4 other cellular operators.Keywords: Internet Data Packages, Cellular Operators, AHP.
Analysis Naïve Bayes In Classifying Fruit by Utilizing Hog Feature Extraction Muhathir Muhathir; Muhammad Hamdani Santoso; Rizki Muliono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.115 KB) | DOI: 10.31289/jite.v4i1.3860

Abstract

Indonesia has abundant natural resources, especially the results of its plantations. Lots of local fruit that can be used starting from the root to the skin of the fruit. Local fruit can be consumed as fresh fruit and can also be processed into drinks and food. This is reflected in the diversity of tropical fruits found in Indonesia. Fruits that are rich in benefits and can be used as medicines such as Apples, Avocados, Apricots, and Bananas. These fruits are often found around us. In Indonesia these fruits are produced and also exported abroad. However, the limited methods and technology used to classify this fruit are interesting things to discuss and become the main focus in this research. This study analyzed using the Naïve Bayes algorithm and feature extraction of HOG (Oriented Gradient Histogram) to obtain more effective classification results. The results showed that the collection of fruit using the Naïve Bayes method and HOG feature extraction had not yet obtained maximum classification results, only with an accuracy of 56.52%.Keywords – Apple, Avocado, Apricot, Banana, Naïve Bayes, HOG.
Implementation Of The SAW Method For Selection Of Best Operational Vehicles Irmawati Carolina; Fitra Hariman Hakim; Adi Supriyatna
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.638 KB) | DOI: 10.31289/jite.v4i1.3790

Abstract

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.
Face Identification on Login Security Using Algorithm Combination of Viola-Jones and Cosine Similarity FADHILLAH AZMI; Amir Saleh; N P Dharshinni
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.953 KB) | DOI: 10.31289/jite.v4i1.3885

Abstract

Data security by using an alphanumeric combination password is no longer used, so it needs to be added security that is difficult to be manipulated by certain people. One type of security is the type of biometrics technology using face recognition which has different characteristics by combining the Viola-Jones algorithm to detect facial features, GLCM (Gray Level Co-occurrence Matrix) for extracting the texture characteristics of an image, and Cosine Similarity for the measurement of the proximity of the data (image matching). The image will be detected using the Viola-Jones algorithm to get face, eyes, nose, and mouth. The image detection results will be calculated the value of the texture characteristics with the GLCM (Gray Level Cooccurrence Matrix) algorithm. Image matching using cosine similarity will determine or match the data stored in the database with new image input until identification results are obtained. The results obtained in this study get the level of accuracy of the identification of the three algorithms by 77.20% with the amount of data that was correctly identified as many as 386 out of 500 images.Keywords: Security, face recognition, Viola-Jones, Cosine Similarity.
Calculation Application for Subnetting IPv4 Address on Android Syarif Hidayatulloh; Prawira Maulana Ilham; Mareanus Lase
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i1.3827

Abstract

Calculation of subnetting IP Address manually is quite time consuming and difficult for people who are just learning. With current smartphone technology, especially those using the Android operating system. There are many things that can be done with smartphones nowadays, including studying subnetting IP address calculations. The purpose of this study is to design and build a mobile application to facilitate the study of subnetting IP Address calculations with the Android operating system. The research method used is a waterfall with stages of requirements, design, implementation, and testing. This research resulted in a mobile application for calculating IP Address subnetting that will facilitate studying and accelerating the calculation of IP Address subnetting. This application is able to search for subnet masks, number of subnets, number of hosts per subnet, IP broadcast, IP range, network ID, and there is a theoretical explanation of the IP Address, prefix, and range of each class of IP Address. The results of the study are indicated by the level of eligibility of this application based on a questionnaire from users with results, 41% strongly agree, 44% agree, 13% neutral, and 2% disagree.Keywords: IP Address, Subneting, Application, Android.
Android-based GO-COURSE Application with Location Based Services Method Taufik Rahman; Muhammad Ulin Nuha; Herman Kuswanto; Felix Wuryo Handono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.24 KB) | DOI: 10.31289/jite.v4i1.3765

Abstract

Advances in technology in the field of Android-based applications are expected to bring changes in the world of education intended for English language education. At present the method of searching institute courses that are present in a variety of applications offered, but the existing applications are not yet complete on this matter related to the applications offered do not meet the specific needs of the course institution search applications that are provided in the English village pare. LBS and algotima dijkstra can be used in the analysis and design of android-based applications, it is required an application to search for locations such as applications needed by user in addition to places of study can also find a place to spend the night while studying, where traveling provides the facilities that have been provided. The results of the Go-Course application can conclude that it must meet the needs of users to carry out the process of finding a chair, boarding house, boarding house and travel package from a smartphone by providing a fairly accurate position. By applying the Djikstra algorithm to the Go-Course Application, you can set the shortest route to the boarding house and boarding house with the user's position and current distance in the form of a map. All functions in the Go-Cource application for finding seats, boarding, boarding and tour packages can run correctly through Blackbox Testing and in accordance with manufacturing recommendations.Keywords: LBS, Dijkstra, Android, GPS, Go-Course.
An Analysis of Slot Dimension Changing in Dual band Rectangular Patch Microstrip Antenna with Proximity Coupled Feed Nurista Wahyu Kirana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.893 KB) | DOI: 10.31289/jite.v4i1.3961

Abstract

In this paper, the characteristics of dual band rectangular patch microstrip antenna using proximity couple feed are studied. It can be used for a wireless device that works on multiband frequency. The addition of slot and proximity feed used in order to obtain larger bandwidth and multiple frequency. Microstrip antenna is designed and simulated using software also used to analyze by changing the variable of microstrip slot’s dimension. The parameters are tested in this study include Voltage standing wave ratio (VSWR), return loss, gain, bandwidth and radiation patterns. From the simulation results, the best value of return loss antenna is -23,29 dB at 2,4 GHz with a slot width of 1 mm and 0,085 GHz bandwidth. At 3,7 GHz, the best value of return loss antenna is -23dB with a slot width of 2 mm and 0,12 GHz bandwidth. Afterwards, the best VSWR obtained on dual band microstrip antennas with proximity coupled feed is 1,14 and 5.53 dBi gain.Keywords: slot, bandwidth, proximity, return loss, gain.
Implementation of the Algorithm Fisher Yates Shuffle on Game Quiz Environment widi aulia rohmah; Asriyanik Asriyanik; Winda Apriyandari
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1010.173 KB) | DOI: 10.31289/jite.v4i1.3863

Abstract

The current technological development of science and knowledge can easily be provided through various media. Learning media have become part of the learning and teaching process. In its use these media can be anything such as videos, motion animations, power points, including games. Educational games can be used as learning media in schools so that learning activities can be more interesting and enjoyable. Games made as learning media are certainly not merely entertainment but must contain elements and educational values. The purpose of this research is to make an educational game of natural science where the questions / questions in the quiz section can be scrambled by themselves. The design of the construction of this environmental quiz game uses the method of Multimedia Development Life Cycle (MDLC) and Fisher Yates Shuffle algorithm for randomization of questions. This environmental game contains natural science lessons about the organization of life systems, the interaction of living things with the environment and environmental pollution. Components in this game are in the form of material and quiz games, puzzles and drag and drop. In this study there are 10 questions that will be randomized to each quiz. The result of the implementation of the Fisher Yates Shuffle algorithm in this quiz section is that the quiz questions that come out can be scrambled, so the questions / questions that come out are different and the user does not easily guess the next question.Keywords: Quiz Game, Adobe Flash, Actionscript, Fisher Yates Shuffle
Sentiment Analysis on Corona Virus Pandemic Using Machine Learning Algorithm Ricky Risnantoyo; Arifin Nugroho; Kresna Mandara
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.262 KB) | DOI: 10.31289/jite.v4i1.3798

Abstract

Corona virus outbreaks that occur in almost all countries in the world have an impact not only in the health sector, but also in other sectors such as tourism, finance, transportation, etc. This raises a variety of sentiments from the public with the emergence of corona virus as a trending topic on Twitter social media. Twitter was chosen by the public because it can disseminate information in real time and can see market reactions quickly. This research uses "tweet" data or public tweet related to "Corona Virus" to see how the sentiment polarity arises. Text mining techniques and three machine learning classification algorithms are used, including Naive Bayes, Support Vector Machine (SVM), K-Nearest Neighbor (K-NN) to build a tweet classification model of sentiments whether they have positive, negative, or neutral polarity. The highest test results are generated by the Support Vector Machine (SVM) algorithm with an accuracy value of 76.21%, a precision value of 78.04%, and a recall value of 71.42%.Keywords: Machine Learning, Corona Virus, Twitter, Sentiment Analysis.
Design of Smart Garden Sprinklers Based on Fuzzy Logic FADHILLAH AZMI; Jeffrey Louise; Zurfahri Rizki Sitompul; Sahsi Kumar; Jaya Surya
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.557 KB) | DOI: 10.31289/jite.v4i1.3886

Abstract

Human needs for the existence of an automatic equipment that controls every activity becomes a necessity at this time, one of which is on watering plants that are still done manually. Treatment of plants is not optimal. Sometimes plants forget to be watered, so the plants wither quickly because of lack of water. And often watering plants over and over again, ignoring that too much water content in the soil, which causes plants to rot easily. With this controller can be applied to various fields such as home, plantation, and agriculture. The application of automatic watering control can be overcome if there is excess water capacity, here is an alarm as a warning when the weather is rainy, by using a soil moisture sensor to detect water levels on the ground, light sensors to control the tool can only function in the morning and afternoon because if at night watering plants is not good for plant growth that is controlled on an arduino microcontroller, and uses a fuzzy logic method to determine the process parameters of sensor control. The results of testing the tools carried out periodically testing can work in sync based on the parameters applied using the fuzzy logic method.Keywords: Smart garden, sprinklers, fuzzy logic.

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