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[DIAGNOSIS SYSTEM IN CHICKEN DISEASE USING FORWARD CHAINING METHOD ]]>
<![CDATA[Annisaa Utami]]>;
<![CDATA[Faisal Dharma Adhinata]]>;
<![CDATA[Yaqutina Marjani Santosa]]>
<![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.2022.3.3.179
<![CDATA[Chickens are animals that are mostly kept by the community both on a large and small scale traditionally. Because the population is large, the disease is also more complex, from mild disease to diseases that can be transmitted to humans so that it can cause death such as bird flu. Diseases in chickens such as Newcastle Disease (ND), Infectious Bronchitis (IB), Gumboro Disease and Flu. Problems about chicken disease faced requires a system to help in diagnosing diseases in chickens. Expert system is a system in which a variety of knowledge comes from an expert so that users can consult. Forward Chaining method is a method of searching or forward-looking where tracking begins with information that da and combine rules to produce an expected conclusion or goal. The study used 9 disease data, 34 symptom data and 20 cases of chicken disease. The results of the accuracy test get a value of 90%. The purpose of this study is: diagnosing chicken disease as a first step to applying artificial intelligence in the medical world, designing and applying systems. Based on the data, it can be concluded that the protythepe expert system by implementing the Forward Chaining Method can help farmers and chicken owners in diagnosing chicken diseases.]]>
<![CDATA[FORECASTING TECHNIQUES OF CONTACT HERBICIDE SALES USING SINGLE MOVING AVARAGE METHOD IN UD. LUMBUNG TANI ]]>
<![CDATA[Umairoh]]>;
<![CDATA[Rizaldi]]>;
<![CDATA[Hommy Dorthy Ellyany Sinaga]]>
<![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.2022.3.3.188
<![CDATA[The process of supplying or stocking fertilizers at UD. Lumbung Tani is still carried out manually or only based on previous sales estimates, resulting in excess and shortage of contact herbicide stocks. The purpose of this study was to determine the amount of inventory derived from previous contact herbicide sales data using the SMA method to predict the contact herbicides gramoxone, tamaxone, paratop, himaquat, naraxone with a smaller error rate. The results showed that the MAPE SMA3 values for each type of herbicide were 22. 13%, 22.35%, 22.72%, 21.83%, 18.20%. Forecasting applications with Single Moving Average can determine the prediction of contact herbicide supplies in the next period. By using the SMA3 method the owner of UD. Lumbung Tani can forecast sales in the following month which is more efficient and effective.]]>
<![CDATA[IMPLEMENTATION OF K-MEANS CLUSTERING ANALYSIS TO DETERMINE BARRIERS TO ONLINE LEARNING CASE STUDY: SWASTA YAPENDAK TINJOWAN JUNIOR HIGH SCHOOL ]]>
<![CDATA[Dinah Adillah]]>;
<![CDATA[Nuriadi Manurung]]>;
<![CDATA[Ari Dermawan]]>
<![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.2022.3.3.189
<![CDATA[The grouping of online learning barriers to students during the covid-19 pandemic will result in clusters of students with the same characteristics in each cluster. The purpose of this study is to assist schools in determining online learning barriers for students during the covid-19 pandemic, so that with this clustering students with high levels of online learning barriers will get additional face-to-face hours.face-to-face learning so as to create an effective learning process. The method used in this study was a data mining technique, which uses the k-means clustering algorithm. This study uses the k-means clustering algorithm because this algorithm is more effective and efficient in processing large amounts of data, so this algorithm has a high enough accuracy for object size and the k-means algorithm is not affected by the order of objects. Testing the data using Microsoft Excel as a manual test and the PHP programming language and MySQL database. The results of this study were in the form of 2 clusters, C1 (low cluster) as many as 4 students who are hampered during online learning, and C2 (high cluster) as many as 16 students who are not hampered during online learning. The conclusion of this study was using of the k-means clustering algorithm can facilitate the grouping of online learning barriers for students at Swasta Yapendak Tinjowan Junior High School.]]>
<![CDATA[THE USE OF THE DEMPSTER SHAFER METHOD FOR DIAGNOSIS OF VULVOVAGINITIS ]]>
<![CDATA[Sarah Indriani]]>;
<![CDATA[Adi Prijuna Lubis]]>;
<![CDATA[Rohminatin]]>
<![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.2022.3.3.192
<![CDATA[There are so many diseases caused by the female sex organs, one of which is vulvovaginitis. People's ignorance about the existence of Vulvovaginitis disease makes them not know the cause of this disease and how to prevent this disease and provide the right solution to deal with this disease. The purpose of this research is to build and design an expert system application to diagnose vulvovaginitis in women and to find out the right solution for vulvovaginitis in women based on the symptoms experienced by using the Dempster Shafer method. For calculations using the Dempster Shafer method, a measurement is carried out, each phenomenon is translated into several problem components, variables and indicators. Each determined variable is measured by providing numerical symbols, assigning a weight value (Belief, Plausibility) for each symptom in vulvovaginitis disease and mathematical calculation techniques can be carried out to diagnose vulvovaginitis disease for a symptom, so as to produce a generally accepted conclusion in a parameter. The result of this study is that the application of an expert system for diagnosing vulvovaginitis can identify the disease and symptoms of vulvovaginitis with the Dempster Shafer method by calculating the trust value of an expert on the symptoms entered. It is hoped that this research will help the public to find out Vulvovaginitis in women and provide the right solution to overcome it.]]>
<![CDATA[DESIGN OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TO DETERMINE HOUSING LOCATIONS IN ASAHAN ]]>
<![CDATA[Dwiki Ramadhan]]>;
<![CDATA[Arridha Zikra Syah]]>;
<![CDATA[Akmal]]>
<![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.2022.3.3.195
<![CDATA[The Housing and Settlement Office of Asahan Regency haven’t a system that can map the location of housing in the East Kisaran District, Asahan yet. The purpose of this study was to help the performance of the Asahan District Housing and Settlement Service and the community in obtaining information on the location of housing in East Kisaran District, Asahan. become faster, more efficient, and more complete in managing data in housing mapping digitally and online. This research method was carried out using qualitative research methods with stages consisting of observation, interviews, documentation, and literature study. This system was designed with the PHP programming language based on Codeigneter, the database system uses MySQL, and Google Maps API which can mapping the location of housing in Kisaran Timur District, Asahan. The result of this study was a website-based geographic information system that allows the public to obtain the information they need about housing in the East Kisaran District, Asahan.]]>
<![CDATA[DEVELOPMENT OF APPLICATION PROGRAMMING INTERFACE (API) FOR AMIKOM PURWOKERTO HANDSANITIZER (AMPUH) DATA LOGGER VISUALIZATION ]]>
<![CDATA[Agnis Nur Afa Zumaroh]]>;
<![CDATA[Trisna Maulida]]>;
<![CDATA[Hasri Akbar Awal Rozaq]]>;
<![CDATA[Rona Sepri Ananda]]>;
<![CDATA[Alif Yahya Syafaat]]>;
<![CDATA[Imam Tahyudin]]>;
<![CDATA[Berlilana]]>
<![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.2022.3.3.222
<![CDATA[The Internet of Things (IoT) of AMPUH adheres to three simple concepts: physical devices with IoT modules, internet-connected devices, and cloud data centers as data storage places. ThingSpeak is an IoT platform that is useful as a cloud-based data logger. Data loggers in the form of primary data or raw data need a web dashboard for data visualization because of not communicative. Therefore, this research has aim to construct API of AMPUH visualization for be used by frontend team. This research converted MATLAB programming language into PHP programming language. The data logger processing uses the powerful programming method because this method is time-efficient and can fix if an error occurs in the system development stage without having to repeat the process from the beginning. The Extreme Programming method has four steps: planning, design, coding, and testing. The processing of data loggers from the ThingSpeak platform uses the Laravel Framework to generate APIs that the frontend team will use. The researcher managed the data logger from ThingSpeak using the Laravel framework to produce several APIs used by the frontend team to visualize the data be interactive and informatively.]]>
<![CDATA[IMPLEMENTATION OF BACKPROPAGATION ARTIFICIAL NEURAL NETWORK FOR FOOD PRICE PREDICTION IN MAJENE CENTRAL MARKET ]]>
<![CDATA[Arnita Irianti]]>;
<![CDATA[Parma Hadi Rantelinggi]]>;
<![CDATA[Alief Taufik]]>;
<![CDATA[Nuralamsah Zulkarnaim]]>;
<![CDATA[Sugiarto Cokrowibowo]]>
<![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.2022.3.3.226
<![CDATA[Food has a fairly high price and the stability of food prices can affect entrepreneurs and the community in meeting their daily needs. This is often seen as a sudden increase in prices (extreme). Therefore, it is necessary to have precise and accurate forecasts or predictions to assist local governments in taking the initial steps in efforts to stabilize food prices. Artificial Neural Networks (ANN) can be used to predict future food prices using the Backpropagation Algorithm. Sental Market is one of the trading centers for daily necessities in Majene district, West Sulawesi. The study used data taken from the Office of Cooperatives, SMEs, Industrial Trade, Kab. Majene, in the form of food price data per week. The research aims to assist the Majene Regional Government (PEMDA) in taking initial steps / policies to stabilize food prices. The system is designed to predict food prices by applying a Backpropagation Neural Network, then reviewing the accuracy obtained in the food price prediction system for each commodity. The results of the study used a Backpropagation Neural Network pattern with a total data of ±156 for each commodity. The results of the study used N.Input of 2, N.Hidden of 3, and N.Output of 1. While the parameters used were Alpha of 0.3, an error tolerance of 0.001, and a maximum iteration of 100. The highest accuracy in the prediction of Commodity Rice Prices was 98.47 with the computation time for the training and testing process being 1.69 and 0.004 respectively.]]>
<![CDATA[SELECTION OF PAYMENT METHODS IN ONLINE MARKETS USING ANALYTICAL HIERARCHICAL PROCESS ]]>
<![CDATA[Refgiufi Patria Avrianto]]>;
<![CDATA[Januponsa Dio Firizqi]]>;
<![CDATA[Rido Dwi Kurniawan]]>;
<![CDATA[Richardus Eko Indrajit]]>;
<![CDATA[Erick Dazki]]>
<![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.2022.3.3.232
<![CDATA[Transactions through the online market are carried out using various payment transaction methods, both digitally and in cash through the Cash on Delivery (COD) service. Therefore, with various payment methods that exist in the process of buying and selling transactions on the online market, especially in payment transactions in the current digital 4.0 era. Often users feel confused about which payment method to use, because there are quite a lot of payment methods to choose from. This study aims to examine and analyze the choices of online market users in choosing payment methods (Digital Banking, ATM Transfer, Credit Card, E-Wallet, COD) when transacting. The analysis data was obtained by distributing questionnaires to active users of the online market which were then processed and tested using the Analytical Hierarchy Process (AHP) method with the help of the AHP Calculator application. The results of this study indicate that Digital Banking excels with a value percentage of 28.7%, followed by COD 20.7%, E-Wallet 20.4%, ATM Transfer 18.9% and the last is Credit Card 11.2%. In general, the main criteria that are prioritized in the selection of payment methods are trust with a weight value of 28.8% and the most prioritized alternative is using Digital Banking with a value of 28.7%. In addition, it is also known that the AHP method is very suitable for use in the decision-making process with multi-criteria and multi-alternatives, as well as decisions in choosing a payment method, because this method shows the results of a weighting comparison between criteria and alternatives.]]>
<![CDATA[DIAGNOSIS OF HUMAN SKIN FUNGI USING FORDWARD CHANING METHOD BASED ON ]]>
<![CDATA[hafzihan ihwana Zihan]]>;
<![CDATA[Jhonson Efendi Hutagalung jhons]]>;
<![CDATA[Mardalius Dalius]]>
<![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.2022.3.3.233
<![CDATA[Expert systems are the process of adopting human knowledge to computers, so that computers can provide solutions like doctors can. The high cost and takes a long time to consult with a skin specialist at the hospital and skin diseases are classified as complaints that can be treated alone. So we need an expert system that makes it easier for experts to diagnose this fungal disease. This research uses qualitative research methods and is included in descriptive research. The method used in this study is the forward chaining method and the search method used is forward data tracing to find conclusions. Data collection techniques through interviews and literature study. This research uses PHP programming language with MySQL database. Based on the results of the comparison between literature studies and interviews, it was found that 4 skin diseases were infected due to fungi so that early symptoms of the disease were diagnosed along with their causes and solutions.]]>
<![CDATA[APPLICATION OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) TO INCREASE SALES AT UD ULONG PIAN ]]>
<![CDATA[mutiara tiara]]>;
<![CDATA[Havid Syafwan Havid]]>;
<![CDATA[rohminatin iroh]]>
<![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.2022.3.3.238
<![CDATA[The development of the business world has entered a new era, where more and more new companies and competing companies in the service,commerce,and manufacturing sectors. The higher the level of customer education, the indirectly the customer will be critical and careful in determining his choice. In this situation, the company should not only rely on the products produced, but the company must also establish a good relationship to every loyal customer then the customer will be loyal to the company. UD Ulong Pian is engaged in sales and services such as the sale of sewing or convection tools, fabrics, home décor equipment and the sale of café tents or tent making services in accordance with customer demand. The problem that occurs in UD Ulong Pian is, the sales process at UD Ulong Pian is still selling conventionally, there are no facilities that help customers to get information, convey assessments of products and also have difficulty in the process of processing and storing customer data that has made buying and selling transactions. This research leverages CRM features that aim to help ud Ulong Pian's service systems attract new customers and retain old customers and expand the sales system. The application is created using php and MySQL programming languages as a database server. With this system is expected to improve the marketing system, sales, service and utilization of Customer Relationship Management has a positive influence on customer loyalty so as to keep customers loyal to UD Ulong Pian.]]>
