JOURNAL OF INFORMATICS AND TELECOMMUNICATION 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 .
Articles
412 Documents
<![CDATA[Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm ]]>
<![CDATA[N. PRIYA DHARSHINNI]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v4i2.4316
<![CDATA[Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y with a confidence value of 76%.]]>
<![CDATA[Temperature Control System for Heating-Holding Heater Based Arduino With Monitoring Via Webserver ]]>
<![CDATA[Golfrid Gultom]]>;
<![CDATA[Abdul Azis Rahmansyah]]>;
<![CDATA[Dejoi Situngkir]]>;
<![CDATA[Manan Ginting]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v5i1.5253
<![CDATA[Heat and hold method is a method with temperature containment techniques in accordance with desired temperature and time functions. This technique aims in adjusting the characteristics of microbial resistance to temperature and saving energy consumption. In this study, a tank with temperature control system was designed for heat and hold the temperature according to the system requirements. Control of the temperature in the heating tank can be done based on the Arduino microcontroller. Arduino reads data from the temperature sensor and activate the heater according to temperature set on the Arduino. Arduino Ethernet Shield acts as Arduino data communication with a database connected to the internet network. The results of this study are in the form of a prototype that shows an IoT-based temperature monitoring tool that can be accessed anywhere via Web-based monitoring system interface. The test was carried out in 2 stages, namely testing by determining target of heater and testing with Holding and Heating with a delay of 10 minutes and 20 minutes. The heating tank temperature control system maintain a temperature of 40oC, 50oC, 60oC for 10 minutes. The temperature holding condition at a certain time is called holding. Henceforth the system temperature is at 70oC.]]>
<![CDATA[Pierce Similarity Algorithm In Detection Of Jar Letter In Al-Quran As Basic Media For Learning Arabic Language Structure ]]>
<![CDATA[Miftahul Jannah]]>;
<![CDATA[Adli Abdillah Nababan]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v4i2.4453
<![CDATA[Al-Quran is the basic reason someone should understand the rules of Arabic. One of the basic rules is knowing the jar type which we generally often encounter in Arabic, but we do not understand that this letter has its own duties and functions. In this study, samples of Jar letters were used as many as 7 jar letter patterns which are generally often encountered in the Al-Quran. The purpose of this research is to build a system that can recognize Jar letters using the Pierce Similarity method and performs the performance on the algorithm. The research method used is the theory of pattern recognition in image processing with 2 processes, namely the Training Process and the Testing Process. The value of each letter pattern obtained in the Training Process will be the weight benchmark for the Testing Process, so that we can measure the performance level of Algortima Pierce Similarity in detecting the Jar letter pattern. The results can vary for each letter pattern ranging from 60% to 80%.]]>
<![CDATA[Minang and Indonesian Pharase-Based Statistical Machine Translation ]]>
<![CDATA[Muhammad Sandika Alam]]>;
<![CDATA[Arie Ardiyanti Suryani]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v5i1.5308
<![CDATA[This research focuses on making a phrase based statistical machine translation for Minang – Indonesian language as well as seeing how well the machine translation results. The source of training and test data in the form of parallel corpus and monolingual corpus that taken from Minang Wikipedia language and Indonesian news website. Two test case scenario were tested in this research that based on the language model and translation model. To see how well the translation will be seen by using Bilingual Evaluation Understudy (BLEU). The result showed that the testing for the first scenario have a significant impact compare to the second scenario in terms of translation. The lack of corpus resources is a problem in building phrase-based statistical machine translation.]]>
<![CDATA[Build Internet of Thing Based Sea Level Detection System ]]>
<![CDATA[Rizalul Akram]]>;
<![CDATA[Liza Fitria]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v4i2.4447
<![CDATA[Tides can be defined as waves generated by the interaction between the earth, sun and moon. The peak of the wave is called the high tide (High Water/HW) and the tide is called low tide (Low Water/LW). The tidal period is the time between the crest or trough of a wave to the crest or tide of the next wave. The time of the tidal period varies from 12 hours 25 minutes to 24 hours 50 minutes. The results of preliminary observations to the desa nelayan in Kuala Langsa found that most of the outskirt fishermen and anglers always look for fish and other marine animals in high tide conditions. Nevertheless, they do not know for sure when the sea water will rise. They detect sea level rise using only a simple tool such as a stick attached to the river and from their house poles under the water. This condition can be detrimental to fishermen both time and economically. The author also began to think about how to create a detection tool that can provide accurate information on sea level conditions at any time to fishermen and anglers via smartphones. The author finally got the best idea, namely creating a "Sea Level Detection System in Kuala Langsa for Fishermen and Anglers Using NodeMCU and Internet of Thing (IoT) Based Waterlevel Sensors and Telegram Messenger. This research has been successfully carried out, where the IoT-based sea level detection tool can work well during experiments in the laboratory and during implementation at the Kuala Langsa estuary, Langsa City.]]>
<![CDATA[Clustering Of Students Into A Specialization Of Expertise Using Genetic Algorithms ]]>
<![CDATA[ilham - sahputra]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v5i1.5305
<![CDATA[Clustering mahasiswa kedalam keminatan keahlian merupakan salah satu upaya yang perlu dilakukan oleh pihak jurusan untuk menjamin mahasiswa memperoleh pendidikan yang sesuai dengan keahliannya. Saat ini, terdapat banyak metode clustering yang sudah dikembangkan oleh pakar. Umumnya metode clustering mampu mengelompokkan objek-objek yang memiliki tingkat kesamaan ciri yang tinggi, tetapi tidak mampu membatasi jumlah objek yang boleh masuk kedalam suatu kelompok. Kasus klasterisasi mahasiswa kedalam keminatan keahlian merupakan kasus clustering yang membatasi jumlah objek yang boleh masuk kedalam suatu kelompok. Dengan kondisi tersebut, metode clustering yang ada tidak dapat digunakan untuk kasus ini. Peneliti mencoba melihat kasus ini dari sudut pandang optimasi, yaitu bagaimana mengoptimalkan pembentukan kelompok keminatan mahasiswa dengan tingkat ketidaksesuaian bakat yang rendah. Untuk penyelesaian kasus ini, peneliti menggunakan algoritma genetika sebagai metode untuk penyelesaian masalah. Algoritma genetika dibagi kedalam beberapa jenis, yaitu: algoritma genetika dengan prinsip elitisme dan non elitisme, algoritma genetika dengan persentase mutasi 0.01, 0.03 dan 0.05. Berdasarkan penelitian yang dilakukan, diperoleh bahwa algoritma genetika mampu melakukan clustering mahasiswa kedalam keminatan keahlian yang disediakan oleh jurusan. Algoritma genetika dengan prinsip elitisme mampu menemukan solusi optimum yang lebih baik sebesar 39% dibandingkan dengan algoritma genetika non elitisme. Algoritma genetika dengan persentase mutasi 0.05 menghasilkan solusi optimum terbaik, namum memiliki konsumsi waktu yang paling besar dibandingkan dengan persentase 0.01 dan 0.03.]]>
<![CDATA[Applied of Information Gain Algorithm for Culinary Recommendation System in Lhokseumawe ]]>
<![CDATA[Rozzi Kesuma Dinata]]>;
<![CDATA[Novia Hasdyna]]>;
<![CDATA[Muhammad Alif]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v5i1.5199
<![CDATA[Information gain is an algorithm that can be used to rank datasets. This research applied the information gain algorithm to the culinary recommendation system in Lhokseumawe city. Lhokseumawe is one of the tourist destinations in the northen region of Aceh, due to its strategic location near the beach. Apart from the beach, culinary is the main choice of tourists when visiting Lhokseumawe city. The purpose of implementing this recommendation system is to make it easier for tourists to find the best culinary recommendations in Lhokseumawe city based on the value of the data ranking with the information gain algorithm. The results of this research shown that the highest rank of information gain values is 0.545715, 0.530769, and 0.497328, continuously. This value provided in the culinary recommendation system in Lhokseumawe city, namely Mie Ayah, Bakso Pim, and Bakso Pak De.]]>
<![CDATA[Wayang Image Classification Using SVM Method and GLCM Feature Extraction ]]>
<![CDATA[Muhathir Muhathir]]>;
<![CDATA[M Hamdani Santoso]]>;
<![CDATA[Diah Ayu Larasati]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v4i2.4524
<![CDATA[Wayang is a masterpiece of art that has been able to survive centuries of change and development as a reflection of life for the majority of society. Wayang has a high value because it does not only function as a "entertainment" spectacle, but also has many lessons and life values that can be learned from a wayang show. Puppet itself has various types and forms, and these forms have their own uniqueness, because of the many types of Puppet, many people do not know all the names and types of wayang. Therefore, in this research, we will discuss how to recognize wayang objects based on wayang images using the SVM and GLCM methods as feature extraction. The results showed that the classification of wayang using the SVM (Support Vector Machine) method and the GLCM (Gray Level Co-Occurrence Matrix) feature extraction can recognize wayang objects based on wayang images and classify them quite accurately and a maximum total accuracy of 83.2% is obtained.]]>
<![CDATA[Design Of Triangular Array Microstrip Patch For Antenna 5g Application ]]>
<![CDATA[Imelda Uli Vistalina Simanjuntak]]>;
<![CDATA[Agus Dendi Rochendi]]>;
<![CDATA[Ketty Siti Salamah]]>;
<![CDATA[Diah Sucita Safitri]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 1 (2021): EDISI JULY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v5i1.4927
<![CDATA[The trend of research on microstrip antennas in the millimeter frequency range has been hotly discussed in recent years. With the aim of increasing the bandwidth, beam gain and return loss in accordance with the standards of 5G needs in a fairly small dimension and low complexity. Previously, several studies of microstrip antennas with conventional patches have been carried out, then followed by a triangular array patch model. The antenna designed using Duroid 5880 substrate with a thickness of 1.575 mm and a dielectric constant value of 2.2 was simulated using Computer Simulation Technology (CST) software. The simulation results work at a frequency of 28 GHz with a return loss value of -26.98 dB, VSWR 1.09, gain 8.8 dB, HPBW value of 25.6° and main lobe of 21.0 dBi. This antenna can work well on millimeter wave range for 5G technology. Compared with previous studies of microstrip antennas, this triangular array patch antenna provides better measurement results.]]>
<![CDATA[Machine Learning for Detection of Palm Oil Leaf Disease Visually using Convolutional Neural Network Algorithm ]]>
<![CDATA[Asrianda Asrianda]]>;
<![CDATA[Hafizh Al Kautsar Aidilof]]>;
<![CDATA[Yoga Pangestu]]>
<![CDATA[ JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021 ]]>
Publisher : <![CDATA[Universitas Medan Area ]]>
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DOI: 10.31289/jite.v4i2.4185
<![CDATA[Artificial intelligence (AI) merupakan bidang ilmu pengetahuan yang saat ini menjadi isu yang menarik dan masih diteliti secara luas. Salah satu cabang dari pengembangan AI adalah computer vision yang di dalamnya terdapat topik pembahasan image classification dan object detection. Machine learning dapat dimanfaatkan di dalam bidang computer vision untuk melakukan object detection dan image classification, yaitu dengan menggunakan algoritma Convolutional Neural Network (CNN). CNN banyak digunakan pada penelitian terdahulu karena akurasinya yang tinggi. Pada penelitian ini, CNN digunakan untuk mendeteksi jenis penyakit daun tanaman kelapa sawit, dengan dataset sebanyak 60 gambar, dimana 50 diantaranya merupakan daun dengan 5 jenis penyakit berbeda, yaitu Curvularia sp, Cochliobolus carbonus, Capnodium sp, Drecshlera, dan defisiensi unsur hara. Sedangkan 10 sisanya merupakan gambar daun sehat. Hasilnya, CNN dapat mendeteksi penyakit daun kelapa sawit dengan akurasi yang dihasilkan mencapai 99%.]]>
