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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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Liver Segmentation Using Convolutional Neural Network Method with U-Net Architecture Muhammad Awaludin Djohar; Anita Desiani; Ali Amran; Sugandi Yahdin; Dewi Lestari Dwi Putri; Des Alwine Zayanti; Novi Rustiana Dewi
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.v6i1.6751

Abstract

Abnormalities in the liver can be used to identify the occurrence of disorders of the liver, one of which is called liver cancer. To detect abnormalities in the liver, segmentation is needed to take part of the liver that is affected. Segmentation of the liver is usually done manually with x-rays. . This manual detection is quite time consuming to get the results of the analysis. Segmentation is a technique in the image processing process that allocates images into objects and backgrounds. Deep learning applications can be used to help segment medical images. One of the deep learning methods that is widely used for segmentation is U-Net CNN. U-Net CNN has two parts encoder and decoder which are used for image segmentation. This research applies U-Net CNN to segment the liver data image. The performance results of the application of U-Net CNN on the liver image are very goodAccuracy performance obtained is 99%, sensitivity is 99%. The specificity is 99%, the F1-Score is 98%, the Jacard coefficient is 96.46% and the DSC is 98%.  The performance achieved from the application of U-Net CNN on average is above 95%, it can be concluded that the application of U-Net CNN is very good and robust in segmenting abnormalities in the liver. This study only discusses the segmentation of the liver image. The results obtained have not been applied to the classification of types of disorders that exist in the liver yet. Further research can apply the segmentation results from the application of U-Net CNN in the problem of classifying types of liver disorders.
Pneumatic Brushing Machine Automation Design Based On Programmable Logic Controller (PLC) Yosy Rahmawati; Imelda Uli Vistalinas Simanjuntak; Dian Aprianto
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.v6i1.7235

Abstract

In the production of musical instruments, PT Yamaha Music Manufacturing Asia uses wood as the main material with a production process and model that is in accordance with company regulations to produce a quality musical instrument. In the process of producing musical instruments, PT Yamaha Music Manufacturing Asia still uses industrial machines manually. Problems that occur every year the demand for musical instrument production is always increasing, the amount of production demand must of course be balanced with the readiness of capable machines/production tools because the use of manual machines in the production process reduces efficiency. Therefore, in this study the author contributes to making PLC-Based Pneumatic Brushing Machines to increase company productivity by applying automatic production machines. The design of the brushing machine system is carried out using a 3-phase electric motor as a conveyor and brush drive, a solenoid valve as a pneumatic cylinder driver, and a proximity sensor as an object detector (wood) which is controlled using an Omron PLC, as an automatic controller. The operator only puts the wood on the conveyor, then the wood will be cleaned automatically by a brush controlled by PLC. Based on the results of the feasibility test, the overall machine in the production process is running effectively marked by increased production yields and spots on the wooddisappearingr. Pneumatic works optimally in generating air pressure to move industrial engine components, proximity sensors as wood detect cane to detect wood with a maximum distance of 8 mm, and brushes are clean wood with a width of between 200 mm to 700 mm and a wood thickness of 14 mm to 700 mm. d 23mm. The implications manufacture of this hardware implantable to keep pace with the demand for musical instrument production from PT Yamaha Music Manufacturing with the ability of increasingly sophisticated production machines
2D Game “Omar’s Adventure” design using the Finite State Machine Method Fresy Nugroho; Puspa Miladin Nuraida Safitri Abdul Basid; Firma Sahrul Bahtiar; Raihan Nafal Zuhdi Simamora; Rashad Fathin Kurniawan; Geovanni Azam Janitra; Juniardi Nur Fadilah
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.v6i1.6327

Abstract

A video game is a game that has rules in it that must be obeyed when the game takes place so that the video game ends either in a win or a loss, played with a device / console. Video games themselves consist of various kinds, one of which is 2D video games. A 2D game is a game that only has 2 spaces or 2 axes, namely the X and Y axes. This research was conducted with the aim of incorporating Islamic elements into a video game so that players can recognize and learn Islamic elements through more interesting media. The result of the research is a 2D game called "Omar's Adventure" which was designed using the Unity game engine, and applied the Finite State Machine (FSM) method in making the game. The FSM given in this game will make several NPCs move / react according to the player's movements to add interactivity in playing it. The resulting game contains the adventure of Omar, where he needs to pass the levels or obstacles that prevent him from his goal in the form of the path of goodness
Intelligent Decision Support System in the Selection of Children's School Types Based on IQ, SQ, and EQ in Aceh Cut Fadhilah; Nunsina Nunsina; Rosma Siregar
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.v6i1.7340

Abstract

Schools are institutions for students to carry out early stages of education that are tailored to their level. Developments that continue to show their existence have a very rapid impact, for example school institutions. Currently, there are permanent schools (pondok/pesantren) or public schools (state/private) with their respective performances. However, the tendency of parents to choose the best school according to him without paying attention to the child's growth and development first. This often occurs after the transition from elementary school to junior high school (SMP). Especially for the Aceh area, where the majority of children are directly in hostel with the hope that the child can grow optimally without reviewing the advantages and disadvantages. The rapid development of technology in Indonesia has contributed a lot to the problems experienced by society with the birth of various kinds of intelligent systems. The development of an intelligent system based on this expert system can be a solution to the problems that arise for parents now, can determine the type of school children will go to in the future. by implementing a method that is able to make decisions by providing the best solution. The purpose of this study is to build an intelligent system that is able to provide decision support in determining the type of school. By providing services to parents in the form of a web service-based interface system. As well as understanding the type of child's ability before deciding to be in a boarding school or public school, especially at the junior high school level.
APPLICATION OF MACHINE LEARNING WITH THE BINARY DECISION TREE MODEL IN DETERMINING THE CLASSIFICATION OF DENTAL DISEASE Mutammimul Ula; Fajar Tri Tri Anjani; Ananda Faridhatul Ulva; Ilham Sahputra; Angga Pratama
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.v6i1.7341

Abstract

The dangers of health problems in dental disease are common for children and adults. Many dental problems get priority treatment based on data from Riskesdas, about 67.6% of the Indonesian population suffers from dental and oral problems. This affects other parts of the organ that are interrelated. Therefore, this study formulates how to solve the determination of dental disease, by applying the UDB model in machine learning. The purpose of this study was to determine the application of machine learning Binary Decision Tree (BDT) in the classification of classified dental diseases identified by decision trees in determining the results of dental disease predictions including groups and how to solve them. The research methodology in the first stage of data collection was carried out directly with the dental clinic at Cut Meutia Lhokseumawe Hospital. Then input the dental disease data along with the dental disease symptom data. The final stage is dividing the attribute values in viewing the value at a predetermined branch which is then in the form of a decision tree as a reference for the final prediction. The results of the assessment have each value indicating a high level of accuracy, with an accuracy of 92 percent and an inaccuracy of 8 percent of the 40 data points tested. Furthermore, the conclusion of this study can produce an appropriate classification of dental disease and is able to produce accurate results seen from a small error rate
Recommendation System of Component Selection for Aquascape With SMART Method Sri Melvani Hardi; ivan jaya
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.v6i1.7084

Abstract

AbstractThe increasing enthusiasm of aquascape hobbyists is one of the factors in the development of the beauty industry of artificial underwater ecosystems in the aquarium. The aesthetic value offered by aquascape is one of the allures for its connoisseurs. The art of organizing ecosystems in water is a simple definition of an aquascape. The complexity of the arrangement can then be described through the presence of various themes. The selection of tools, flora and fauna, and other ornaments to form a unified ecosystem are things that are of concern so that an ecosystem in artificial water has good aesthetic value and can be categorized in a certain theme. By using a decision support system (DSS) or decision-making system, the results can provide better decisions and minimize the possibility of errors. One method of decision making in the scope of decision support system (DSS) or decision making system is Simple Multi Attribute Rating Technique (SMART), where this method can determine product recommendations based on several product variants offered as a form of marketing analysis. This method is able to provide recommendations for more than one decision and provide results with the best accuracy. System testing was conducted to 50 users and it was found that the recommendation system based on the questionnaire application was able to provide a good percentage of conformity between the user's wishes and the recommendations given. That is, 51% of correspondents rated it very appropriate, 27.5% of correspondents rated accordingly, 19.5% of correspondents rated neutral, and only 2% of correspondents rated it inappropriateKeywords: Aquascape, Decision Support System, SMART, Recommendation
Numerical Analysis of Variations Distance Formulas on K Nearest Neighbors In Classifying Malaria Parasite Blood Cells Taufik Ismail Simanjuntak; Juliansyah Putra Tanjung; Mahardika abdi prawira tanjung; Cut Try Utari; Muhathir Muhathir
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.v6i1.5464

Abstract

Malaria is one of the numerous acute and chronic diseases. Even malaria can pose a threat to a person's safety. The original cause of malaria was an infection with a protozoan of the genus Plasmodium, which was transmitted by the bite of a mosquito. This Anopheles mosquito parasite infects red blood cells throughout the body, resulting in an enlarged spleen. This research aims to make it easier for physicians to classify blood images as malaria-infected or not. If the input is a blood image, then SURF Feature Extraction will be used to extract the blood image. We therefore obtained weight results based on the extraction results. The weighted results generated by the SURF extraction process will be classified using the KNN Algorithm to determine whether or not an individual is infected with malaria. This study's tests compared various distance formulas utilized by the KNN classification method. Comparing the results of malaria blood image classification using the KNN classification method with variations in the distance formula, it is evident in table 7 that correlation is the optimal distance formula for malaria parasite blood cells recognition, followed by cosine. According to the results of KNN's tests, it is not optimal at classifying blood images containing malaria, but these results are categorized as good
Application of the Waterfall Method in Software Design on Android-Based Programming Language Course Applications Anita Desiani; Ali Amran; Nuni Gofar; Chairu Nisa Apriyani; Redina An Fadhila Chaniago
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.v6i1.6995

Abstract

In this era of technology and information proliferating, programming skills are needed. Technology affects every area of life from industry, business, communication, transportation, health, and others. Everyone has the same opportunity to learn and master technology thus programming language courses are needed to provide education, innovation, and improvement of skills and abilities in the field of programming and data science to the public. Until now, programming language courses still use the conventional system, where everything is done manually, from class registration, class scheduling, teaching and learning process, and payment processing which results in many archives that must be stored for administrative purposes and require a relatively large amount of time for customers to come to the course location. Therefore, an information technology-based system is needed to fix the weaknesses of the old system. In this study, an Android-based programming language course application is designed to facilitate customers and course owners in teaching and learning activities and transactions. The design in this study uses the waterfall method, which consists of five stages, needs analysis, design, code, testing, and maintenance. The results obtained from testing applications using questionnaires on programming language course applications are 80% stated by course customers, where the application is easy to use, faster, and more practical in registering. In conclusion, this designed application can make it easier for customers to carry out teaching and learning activities and transact quickly and practically.
Analyzing e-Service Quality and e-Satisfaction Effects on Customer Loyalty at An Indonesian Digital Marketplace Koko Wahyu Prasetyo; Rizky Putra Pratamal; Addin Aditya
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.v6i1.7265

Abstract

Indonesia is listed as one of the countries with the most population in the world as well as one of the countries with the most internet users. With this fact, Indonesia is one of the largest potential markets in the digital trade sector. Many Indonesian people use the internet and marketplace platforms to shop and fulfill their daily needs. Indonesia is also the base of operations for several marketplace platforms with significant transaction values, one of which is Tokopedia. Tokopedia is one of the Indonesian marketplace platforms that consistently ranks in the top 3 for the category of online buying and selling sites that people are interested in. Some studies have stated that the quality of business services affects customer satisfaction and loyalty. This quality is one of the indicators that determine customer satisfaction with the company's products and services. This study analyzes the influence of the dimensions of electronic service quality and the aspects of customer satisfaction on customer loyalty in the Tokopedia marketplace. It analyzes the effect of the dimensions in the ES-Qual model on overall ES-Qual, e-satisfaction, and e-loyalty on consumers. The data obtained were analyzed using the variant-based Partial Least Square Structural Equation Model (PLS-SEM) equation model which can simultaneously test the measurement model, as well as the structural model. The results also show that online service quality and overall service quality affect online user satisfaction and online user loyalty.
Social Impact of CRM on Customer Engagement and User Loyalty to Services by.U Ali Ibrahim; Lukmanul Hakim; Alif Mustaqim; Naberi Oktaria; Tasya Permata Listi; Yunita Faujiyah
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.v6i1.6350

Abstract

The development of digitalization continues to grow very rapidly, making companies continue to innovate such as telecommunications technology companies. by.U is an innovation from a telecommunications technology company that has the advantage of being the first all-digital provider in Indonesia. In the by.U service, users can be flexible in determining quota filling according to the desired request. The purpose of this study was to find out how much influence the Social CRM activities carried out by.U had on increasing customer engagement and user loyalty. This research was conducted on the service by.U. Data were analyzed using SmartPLS with a sample of 30 people. The research method is a quantitative approach with path analysis using SmartPLS Version 3. The results of the research are that there are 2 hypotheses that have a significant effect, namely: (1) Social Customer Relationship Management has a significant influence on Loyalty; (2) Social Customer Relationship Management has a significant influence on customers. While the two hypotheses are not significant, namely: (1) Social Customer Relationship Management has a significant influence on Loyalty in Intervening Customer Engagement; (2) Customer Engagement has a significant effect on Loyalty

Page 25 of 42 | Total Record : 412

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