Jurnal Teknik Informatika (JUTIF)
Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, algorithms and computation, and social impact of information and telecommunication technology. Jurnal Teknik Informatika (JUTIF) is published by Informatics Department, Universitas Jenderal Soedirman twice a year, in June and December. All submissions are double-blind reviewed by peer reviewers. All papers must be submitted in BAHASA INDONESIA. JUTIF has P-ISSN : 2723-3863 and E-ISSN : 2723-3871. The journal accepts scientific research articles, review articles, and final project reports from the following fields : Computer systems organization : Computer architecture, embedded system, real-time computing 1. Networks : Network architecture, network protocol, network components, network performance evaluation, network service 2. Security : Cryptography, security services, intrusion detection system, hardware security, network security, information security, application security 3. Software organization : Interpreter, Middleware, Virtual machine, Operating system, Software quality 4. Software notations and tools : Programming paradigm, Programming language, Domain-specific language, Modeling language, Software framework, Integrated development environment 5. Software development : Software development process, Requirements analysis, Software design, Software construction, Software deployment, Software maintenance, Programming team, Open-source model 6. Theory of computation : Model of computation, Computational complexity 7. Algorithms : Algorithm design, Analysis of algorithms 8. Mathematics of computing : Discrete mathematics, Mathematical software, Information theory 9. Information systems : Database management system, Information storage systems, Enterprise information system, Social information systems, Geographic information system, Decision support system, Process control system, Multimedia information system, Data mining, Digital library, Computing platform, Digital marketing, World Wide Web, Information retrieval Human-computer interaction, Interaction design, Social computing, Ubiquitous computing, Visualization, Accessibility 10. Concurrency : Concurrent computing, Parallel computing, Distributed computing 11. Artificial intelligence : Natural language processing, Knowledge representation and reasoning, Computer vision, Automated planning and scheduling, Search methodology, Control method, Philosophy of artificial intelligence, Distributed artificial intelligence 12. Machine learning : Supervised learning, Unsupervised learning, Reinforcement learning, Multi-task learning 13. Graphics : Animation, Rendering, Image manipulation, Graphics processing unit, Mixed reality, Virtual reality, Image compression, Solid modeling 14. Applied computing : E-commerce, Enterprise software, Electronic publishing, Cyberwarfare, Electronic voting, Video game, Word processing, Operations research, Educational technology, Document management.
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962 Documents
<![CDATA[APPLYING THE ECONOMIC ORDER QUANTITY (EOQ) METHOD FOR THE CONTROL AND SUPPLY OF SHEEP FEED RAW MATERIALS IN PT. ELDIRA FAUNA ASAHAN ]]>
<![CDATA[Sri Kartika Hasibuan]]>;
<![CDATA[Iqbal Kamil Siregar]]>;
<![CDATA[Iin Almeina Lubis]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.255
<![CDATA[Eldira Fauna Asahan is a company engaged in the sale and fattening of sheep, where the process of making sheep feed raw materials is produced by the company itself, which every day requires a lot of raw materials to be produced by the company. The problems that occur in the company today are related to raw materials, where when ordering raw materials there is often a shortage of raw materials or even excess. Currently the raw material ordering system is still based on experience, this causes difficulties in determining the amount of raw materials that must be ordered/provided so that the order sometimes does not match the needs. Therefore, companies currently need an information system that can assist companies in determining the most economical number of orders in one message by applying the ecomoic order quantity (EOQ) method to the system. Then designed information system control and inventory of raw materials for sheep feed at PT. Eldira Fauna Asahan which is useful for determining the number of orders in one message and ordering again as needed. This system is designed using the PHP programming language, stored in the MYSQL database and the visual modeling method uses UML. The result of this research is that this application can later assist companies in determining the amount of raw material needs, and can assist workers in processing data. In conclusion, this application is useful for companies in making it easier for admins to get fast information in determining ordering raw materials.]]>
<![CDATA[MOSQUE RUG STERILIZATION ROBOT USING ULTRAVIOLET C LIGHT WITH INTERFACE HC-05 AND ULTRASONIC ]]>
<![CDATA[Fifi Safitri]]>;
<![CDATA[Muhammad Amin]]>;
<![CDATA[Iin Almeina Lubis]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.256
<![CDATA[Many efforts have been made to minimize the spread of the Covid-19 virus in various fields of activity including worship activities where the five daily prayers are the obligations of Muslims. When you want to pray, prayer rugs are one of the media to perform prayers so that prayers are more solemn. The prayer rug itself is one of the places where the Covid-19 virus spreads and mosque administrators only carry out prayer rug cleaning activities using a broom and washing prayer rugs. The right solution to minimize the virus that is in mosque prayer rugs is to apply the sterilization of prayer rugs on a scheduled basis. The purpose of this research is to find out how the sterilization robot works in mosque prayer mats, can design a remote control via Arduino using the HC-05 sensor, and the prayer mat sterilization robot is effective and efficient to implement. The results of this study are a robot that can be controlled via an android application that is connected via HC-05 where mosque administrators only need to control via a smartphone at one point. The method used in this study is a descriptive method where prior to conducting the research an interview was conducted regarding the circumstances to be studied, namely the cleanliness of the mosque in the use of prayer mats. It is hoped that this research can ease the work of mosque administrators and minimize time in sterilization activities and can minimize viruses that are in mosque prayer mats.]]>
<![CDATA[APPLICATION OF THE CUSTOMER RELATIONSHIP MANAGEMENT (CRM) MODEL IN THE MARKETING AND SALES PROCESS OF AUSTRALIAN CATTLE AT PT. ELDIRA FAUNA ASAHAN ]]>
<![CDATA[phoeja]]>;
<![CDATA[Muhammad Amin]]>;
<![CDATA[Afdhal Syafnur]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.257
<![CDATA[Eldira Fauna Asahan who is engaged in Australian cattle farming in the cattle sales system does not yet have a web-based service where the marketing and sales processes are still done manually. The problems encountered, the authors implement the implementation of Customer Relationship Management (CRM) with the waterfall method. The waterfall method is a method that takes a systematic and sequential approach starting from the level of system requirements and then heading to the analysis, design, implementation and testing stages. It is called a waterfall because the stages that are passed must wait for the completion of the previous stage and run sequentially. Customer Relationship Management (CRM) is one of the strategies used by companies to better know and understand their customers, so that companies can provide the best service and foster better long-term relationships with their customers. The results according to admin needs include: managing order data, managing user data, managing sales report recaps, and conducting sales transactions and sales stock. Meanwhile, the results according to user needs include: placing an order, filling in the required data, making payment transactions. In conclusion, the implementation of Customer Relationship Management is carried out properly and appropriately, making the company's business performance more optimal. With the existence of a Web-Based Information System for Eldira Fauna, it aims to make it easier for customers to place orders for cattle so that the online process becomes more effective and efficient.]]>
<![CDATA[AUTOMATIC SECURITY SYSTEM IN BHAYANGKARA INDAH OFFICE FROM THEFT, GAS LEAKAGE, AND FIRE AND FLOOD BASED ON ARDUINO NANO ]]>
<![CDATA[Sutan Hirmansyah Siregar]]>;
<![CDATA[Rolly Yesputra]]>;
<![CDATA[Sahren Sahren]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.261
<![CDATA[The office is a very necessary place to work, where an office must provide a sense of security to employees. At the Bhayangkara Indah office, theft often occurs because there is no security guard guarding the office and there are often sudden floods that cause the goods and facilities in the office to be submerged and there is no security system that informs the occurrence of gas leaks that can cause fires. The purpose of this study was to determine flooding using the yl-69 sensor in the event of a flood, to determine gas leaks using the MQ-7 sensor in the event of a gas leak and the use of RFID as a tool to access security on the door of the house and to detect fire using the Flame sensor. in case of fire. The test results are carried out with a direct trial phase to measure the level of performance of the sensors used. It is hoped that with this research, the design of a security device that is made can help maintain security at the Bhayangkara Indah Housing office to find out if there is a flood, gas leak, fire, and theft.]]>
<![CDATA[IMPLEMENTATION OF GENERATIVE ADVERSARIAL NETWORKS FOR CREATING DIGITAL ARTWORK IN THE FORM OF ABSTRACT IMAGES ]]>
<![CDATA[eric secada purba]]>;
<![CDATA[Hendry]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.262
<![CDATA[Abstract painting always has its own place for the fans, the irregular shape in it, and the emotions depicted in the painting, make many people amazed to see it. The success of this abstract image sparked the idea of being able to create an abstract image using Deep Learning Technology. Generative Adversarial Networks (GANs) is one of the Deep Learning technologies that can create it. With the GANs method which has Generator and Discriminator functions in it, it is possible for someone to be able to create it. The generator functions to generate new data through training the data(train), and the Discriminator functions to determine whether the new data is fake or not data through training (train) comparing the generator results with the original data. These two functions are used to create abstract images. Abstract images were obtained through training in 1369 paintings of nature, landscapes, and flowers. The images are trained by comparing the number of epochs used and the results of the abstract images generated from each epoch. The epoch will be divided into three parts, namely the first training using 10 epochs, the second training using 100 epochs, and the third training using 1000 epochs. In this journal, we will compare the results of the three trainings and reach a conclusion which training produces the best abstract image according to the author. From the training, 1000 epoch training was obtained which produces good abstract images.]]>
<![CDATA[GLAUCOMA CLASSIFICATION BASED ON FUNDUS IMAGES PROCESSING WITH CONVOLUTIONAL NEURAL NETWORK ]]>
<![CDATA[Yunendah Nur Fu'adah]]>;
<![CDATA[Sofia Saidah]]>;
<![CDATA[Nidaan Khofiya]]>;
<![CDATA[Rita Magdalena]]>;
<![CDATA[Ibnu Da'wan Salim]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.276
<![CDATA[Glaucoma is an eye disease that causes damage to the optic nerve due to increased pressure in the eyeball. Delay in diagnosis and treatment of optic nerve damage due to glaucoma can lead to permanent blindness. Thus, several studies have developed a glaucoma early detection system based on digital image processing and machine learning. This study carried out glaucoma classification based on fundus image processing using Convolutional Neural Network (CNN). The CNN architecture proposed in this study consists of three convolutional layers with output channels 8, 16, 32 sequentially and a filter size of 5×5 at each layer, followed by a pooling layer and a dropout layer at the feature extraction stage. Furthermore, a fully connected layer and softmax activation function was implemented at the classification stage to classify fundus images into normal conditions, early glaucoma, moderate glaucoma, deep glaucoma, and ocular hypertension (OHT). The total amount of fundus image data used in this study consisted of 2000 fundus images divided into 1280 training data, 320 validation data, and 400 test data. 5-fold cross-validation is implemented in the training phase to select the best model. At the testing stage, the best accuracy generated by 99%, with the precision value, recall, f-1 scores and the AUC score are close to 1. According to the system performance results obtained, the proposed model can be used as a tool for medical personnel in classifying glaucoma conditions to provide appropriate medical treatment and reduce the risk of permanent blindness due to glaucoma.]]>
<![CDATA[IMPLEMENTATION OF THE WATERFALL METHOD IN THE DESIGN OF A WEBSITE-BASED BOOK LENDING SYSTEM ]]>
<![CDATA[Teguh Cahyono]]>;
<![CDATA[Susi Setianingsih]]>;
<![CDATA[Dadang Iskandar]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.285
<![CDATA[The application of information technology in the library can increase the acceleration of information to the public. One of the library activities that quite a lot of using paper media is borrowing books. The use of ledgers in borrowing books is tantamount to spending a lot of paper with large data and will cause piles later. Therefore, it is necessary to update the book lending system with integrated information technology in order to increase efficiency and effectiveness in the library. The Book Borrowing System or known as TEMANKU is a book lending system that is integrated with the internet to improve operations in book lending activities in the library. In carrying out this activity, a method must be used to implement it. The waterfall method was chosen because it is easy to implement and the system implementation can be implemented in a better and structured manner. On the other hand, the approach used in the design uses data flow diagram ( DFD). The results of this study resulted in the design of a website-based book lending system.]]>
<![CDATA[ENGLISH LEARNING EDUCATIONAL GAMES FOR HEARING AND SPEECH IMPAIRMENT STUDENTS AT SLB B YAKUT PURWOKERTO ]]>
<![CDATA[Yogiek Indra Kurniawan]]>;
<![CDATA[Uki Hares Yulianti]]>;
<![CDATA[Nadia Gitya Yulianita]]>;
<![CDATA[Andika Putra Pratama]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.317
<![CDATA[Students with hearing and speech impairment at the Special School for the Hearing and Speech Impairment (SLB B) Yakut Purwokerto do not have high level of interest in learning. Moreover, the use of manual learning media which are based on books and blackboards also causes a lack of students’ understanding. This research aims to develop an alternative learning media which are based on educational games to learn English for students with hearing and speech impairment at SLB-B Yakut Purwokerto with the name "Matching" (Match a Thing). The research method in developing this game was the Multimedia Development Life Cycle which consisted of six stages, namely Concept, Design, Assets / Materials Collecting, Manufacturing (assembly), Testing, and Release (distribution). This educational game was built using the Construct 2 game engine and could be accessed using a web browser. The result of this research is an English-learning-educational game that has several menus, including Main Menu, Help, Play, Library, and Evaluation/Quiz. Based on a blackbox testing, valid results were obtained for all given test scenarios, therefore this game is in accordance with the application developer’s expectations. In addition, based on the User Acceptance Testing (UAT), the average perception result was 89% with an indicator of the "Very Good" category which indicates that this application is feasible to use in the English learning process.]]>
<![CDATA[DESIGN AND BUILD A CAREER CENTER INFORMATION SYSTEM USING THE CODEIGNITER FRAMEWORK CASE STUDY AT UNIVERSITAS JENDERAL SOEDIRMAN USING WATERFALL METHOD ]]>
<![CDATA[Muhammad Fikri Rivaldi]]>;
<![CDATA[Lasmedi Afuan]]>;
<![CDATA[Arief Kelik Nugroho]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.322
<![CDATA[Universitas Jenderal Soedirman annually graduates thousands of qualified students. With so many graduates being issued, it is not uncommon for alumni to be confused about getting information about the world of work. Based on these problems, we need a place that accommodates all of them, namely the Career Center. Universitas Jenderal Soedirman has its own Career Center called Sudirman Career Center (SCC), which accommodating alumni to develop their careers. To do it all, SCC requires a computerized system that can help facilitate SCC in managing alumni data. This research aims to design a system that can make it easier for students, primarily alumni of Universitas Jenderal Soedirman, to find job vacancies and make it easier for agencies to manage their companies in the workforce. The data collection method used in this research is literature study, observation, and interviews, while the method for system development uses waterfall. The system design is done using UML. The programming language used is PHP combined with the Codeigniter framework and MySQL DBMS for data storage. From the research results, it can be concluded that alumni can use the existence of a web-based career center information system to obtain job vacancies information. Moreover, as a medium for the publication of each alumni's profile, it is easier for the SCC to manage alumni data and be helpful for agencies that need workers with various alumni backgrounds.]]>
<![CDATA[COMPARISON OF CLASSIFICATION ALGORITHM AND FEATURE SELECTION IN BITCOIN SENTIMENT ANALYSIS ]]>
<![CDATA[Indri Tri Julianto]]>;
<![CDATA[Dede Kurniadi]]>;
<![CDATA[Muhammad Rikza Nashrulloh]]>;
<![CDATA[Asri Mulyani]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.3.343
<![CDATA[Sentiment analysis is a process for extracting data in the form of textual, with the aim of obtaining information about the tendency to evaluate an object under study. Sentiments given by the general public can be used as a reference in making product decisions. Sentiment given can be in the form of positive, negative and neutral sentiments. One of the information technology products that has stolen enough attention in the last decade is Bitcoin. The purpose of this study is to compare several classification algorithms using Feature Selection. There are several classification algorithms that can be used for sentiment analysis, such as Deep Learning, Decission Tree, KNN, Naïve Bayes. Textual sentiment classification has constraints on datasets that have high dimensions. Feature Selection is a solution to reduce the dimensions of a dataset by reducing attributes that are less relevant. Feature Selection used is Information Gain and Chi Square. The method used to perform the comparison is by comparing the four classification algorithms to find the best algorithm, then comparing the Feature Selection to get the best between the two, then integrating the best classification algorithm and the best Feature Selection. The results showed that the best classification algorithm was Deep Learning with an accuracy value of 78.43% and a kappa of 0.625. The results of the comparison of Feature Selection, Information Gain get the best results with an average accuracy value of 63.79% and an average kappa of 0.382. The results of the integration of the best classification algorithm with the best Featrure Selection obtained an accuracy value of 78.63% and a kappa of 0.626 where the value was included in the Fair Classification category.]]>
