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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 32 Documents
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Search results for , issue "Vol 6, No 1 (2022): Issues July 2022" : 32 Documents clear
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
Prediction System for Credit Eligibility Using C4.5 Algorithm Desi Puspita; Siti Aminah; Alfis Arif
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.v6i1.7311

Abstract

Independent Multipurpose Cooperative, Tasti, Pagar Alam City, currently granting credit, the data collection process for the selection of prospective members and prospective credit recipients is still done manually, so they must come to the cooperative to find out whether it is still eligible to receive credit or not, officers must evaluate the data. is to form a decision tree classification model for creditworthiness in cooperatives. The analytical method with the C4.5 Algorithm, the C4.5 Algorithm is one of the algorithms for performing data mining using data classification techniques. The C4.5 algorithm is used to search for knowledge in the data, by finding the relationship between input variables or criteria attributes with target variables or decision attributes. The resulting knowledge is converted into the form of a decision tree so that it is easy to understand. The C4.5 algorithm was chosen because it can make a decision to be able to predict whether a customer is eligible or not to be given credit. The attribute used is income with specified criteria. The results obtained from this study are predictive information on the feasibility of providing credit to cooperatives using the C4.5 algorithm by getting an accuracy value of 93% with an AUC value of 0.898 where this classification is classified as Good Classification or good.
Design of Steel Reheating Furnace Gas Actuator Control System Using Arduino UNO Rizdam Firly Muzakki; Chairul Gagarin Irianto
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.v6i1.7002

Abstract

To minimize production down time that caused by equipment damage, it is necessary to have sufficient spare part availability. But sometimes this is hard to fulfill because of the price of spare parts and there are any specifications that are difficult to find. One of the equipment that has a vital role in steel manufacturing process is a gas valve actuator that has a function to regulate the flow of gas volume used in the billet reheating process. Most actuator problems are caused by the control circuit, while the mechanical and actuating devices can still work normally. Replacing the actuator unit will require a large cost, as well as a relatively long response time. From these problems, a control system is designed that can be applied to the actuator units that are already available by utilizing Arduino UNO as a processor, to reduce down time due to equipment damage. The method applied to this tool is to compare the input signal value with the actual gas valve opening position from the potentiometer. Based on the results of data collection shows this control system has an average error value of 0.7075%. The results of the tests carried out show that the Arduino UNO-based control system can operate the actuator unit effectively, to be used in the billet reheating process.
Classification of Determination the Recipients of the Program Keluarga Harapan (PKH) Using K-Nearest Neighbor Algorithm Fajriana Fajriana
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.v6i1.7543

Abstract

Classification is one method of data mining techniques for classifying data by system according to predetermined rules. In this study, the algorithm used was K-Nearest Neighbor (KNN) algorithm and the data used in this study was the community data obtained from Kantor Desa Gampong Uteun Geulinggang, Dewantara, in Aceh Utara. The main focus of this study was to analyzing and applying K-NN algorithm in a web-based system to classify data on beneficiaries of the Program Keluarga Harapan (PKH) in Gampong Uteun Geulinggang, Dewantara, Aceh Utara. This study used 16 (sixteen) criterias, namely house status, floor area, floor type, gas cylinder, refrigerator, air conditioner, water heater, television, jewelry/gold (10 grams), computer/laptop, bicycle, motorcycle, car, cow, buffalo and goat. The data was classified into 3 classes, namely worthy, not unworthy and very unworthy. The results of this study with a value of k = 3, obtained a precision value of 97%, recall value of 95% and the accuracy value of 97%.
DESIGN A FOLK STORY-BASED THREE-DIMENSIONAL ANIMATION ABOUT THE ORIGINS OF SAGO IN SENTANI Mayor M.H. Manurung; Halomoan Edy Manurung; Elisabet - Wijaya
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.v6i1.6250

Abstract

Perkembangan Teknologi informasi pada saat ini begitu pesat dan digunakan dalam berbagai sektor kehidupan misalnya multimedia yang terdiri dari teks, bunyi, gambar, musik, animasi dan video dapat digunakan dalam media pembelajaran. Media Pembelajaran berupa cerita rakyat yang berasal dari Papua masih jarang ditemukan sedangkan kebutuhan akan media pembelajaran tentang cerita rakyat Papua sangat dibutuhkan guna menjaga keberagaman dan kekayaan budaya serta adat istiadat di Papua. Salah satu kekayaan alam di Papua adalah pohon sagu yang tersebar luas diseluruh daerah pesisir Papua. Tanaman Sagu di daerah Sentani memiliki banyak jenis dan kualitas terbaik di dunia dan memiliki cerita yang diturunkn secara turun temurun kepada orang Sentani. Dari Latar belakang tersebut peneliti tertarik untuk merancang dan membangun animasi tiga (3) dimensi berbasis cerita rakyat tentang asal usul Sagu di Sentani. Metode pengembangan sistem menggunakan model pengembangan multimedia versi Luter Sutopo yang terdiri dari enam (6) tahap yaitu concept, design, material collecting, Assembly, testing dan Distribution. Aplokasi perangkat lunak yang digunakan adala Blender 2.9.1, Make Human 1.2.0, Reallusion, Hanbrake 1.3.3, Adobe Audition cc 2020, Wonder Sare Filmora X. Hasil pengujian alpha testing menunjukkan bahwa seluruh scenario berjalan dengan benar dan pengujian beta testing dengan kuesioner menunjukkan bahwa 99% menjawab tampilan menarik, 97% menjawab mudah dipahami dan 98 % menjawab dapat menjadi bahan promosi sehingga layak dipublikasikan.
Prediction of Feasibility of Entrepreneurial Proposals in Student Creativity Program Harun Nasrullah; Endah Sarah Wanty; Arief Wibowo
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.v6i1.7253

Abstract

Student Creativity Program is a program organized by the Directorate of Learning and Student Affairs, Directorate General of Higher Education, Research, and Technology, Ministry of Education, Culture, Research and Technology as a national level student creativity event as an effort to grow, accommodate, and realize students' creative and innovative ideas. Based on 2017-2021 data, each year an average of 63,337 proposals are received, administrative and substance evaluations involve complex assessment components and are carried out manually so that it takes a relatively long time in the calculation process. Then a special method is needed that speeds up the processing of assessment data. This research was conducted on the substance of the Entrepreneurship Sector to predict the feasibility of a proposal to get funding applying data mining with the Naive Bayes Classifier (NBC) and K-Nearest Neighbor (K-NN) algorithms with a comparison between Euclidean Distance and Manhattan Distance. From the results, it is known that NBC produces 96.49% accuracy and 0.912 Kappa. K-NN with the largest Euclidean Distance calculation in K-5, K-7 and K9 with an accuracy of 99.04% and Kappa 0.975, K-NN Manhattan Distance calculation produces the greatest accuracy of all the methods used by researchers, namely 100% and Kappa 1,00 categorized as Excellent. So the conclution is that the K-NN method with K-5 which produces the greatest accuracy and Kappa can be recommended to PKM stakeholders in funding feasibility algorithms.
Determining The Location Of RMU, Using K-Means Clustering, Evaluate The Location Of Existing RMU, Using R-Programming Moehammad Masri abdoel Wahid
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.v6i1.6126

Abstract

Rice milling into rice, (Rice Milling Unit, RMU) is needed to process the harvested grain into rice. In determining the location, the consideration of road access to consumers is still used and it is often far from the rice fields, the source of the grain material to be milled. This paper aims to analyze the ideal location with the consideration of being in a rice field cluster and the area of the rice field, so that it can accommodate crop yields around the cluster, namely the location of the spatial coordinates and the area (hectare). Primary data was obtained by the author from the Department of Agriculture of Malang Regency and the data was processed as input for analysis. Analysis of determining the location of the center of the rice field cluster using the Weighted K-Means Clustering method by comparing several alternative cluster points (K) and the area of rice fields, testing the variation of K is, K = 5, 6, 7 and 8. Optimal test results at K = 7. Calculations using the R language. The test results obtained that the cluster center suggested 7 clusters to accommodate the rice harvest in 7 regions, namely in the west, north (1), middle (2), south (3), east (1) and west (1 ) . Evaluation of the location of the existing RMU, there are 5 locations, so that for the next planning, you can add 2 more clusters to build the RMU and accommodate a more even rice harvest.
Comparative Test of the Effect of X-Ray Tube Current Analysis and Exposure Time on CR (Computed Radiography) Image Quality Diah Rahayu Ningtias; Bayu Wahyudi; Imam Tri Harsoyo
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.v6i1.7334

Abstract

The medical image system in the form of digital examination results using Computed Radiography (CR) needs to be analyzed, this can be done by knowing the quality of the image contrast resolution and the quality of its spatial resolution. This study conducted a comparative test between two methods of analyzing contrast resolution of medical images. Image quality on Computed Radiography can be determined using contrast resolution analysis, namely calculating the CNR value and PSNR value. The study was carried out using a phantom to represent the density of the bone. The voltages used are 50 kV, 60 kV, 70 kV and 81 kV, respectively. With each voltage, the tube current and exposure time (mAs) were varied 1.6 mAs, 2 mAs, 4 mAs, 8 mAs, 16 mAs, and 32 mAs. The higher the CNR value obtained, the better the image quality. While the PSNR value to get the optimal quality of medical image contrast, the current-time variation of 4 mAs and 16 mAs must be used. Due to the time-current variation, a high PSNR value is obtained, which indicates that the noise of the medical image is getting smaller so that a good contrast quality of the medical image is obtained. Both of these methods can be used to test the suitability of X-ray device, especially for quality control of medical images

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