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Contact Name
Yogiek Indra Kurniawan
Contact Email
yogiek@unsoed.ac.id
Phone
+6285640661444
Journal Mail Official
jutif.ft@unsoed.ac.id
Editorial Address
Informatika, Fakultas Teknik Universitas Jenderal Soedirman. Jalan Mayjen Sungkono KM 5, Kecamatan Kalimanah, Kabupaten Purbalingga, Jawa Tengah, Indonesia 53371.
Location
Kab. banyumas,
Jawa tengah
INDONESIA
Jurnal Teknik Informatika (JUTIF)
Core Subject : Science,
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.
Articles 962 Documents
IDENTIFICATION OF THE COVID-19 DISTRIBUTION AREA ON THE ISLAND OF KALIMANTAN USING THE K-MEANS SPATIAL CLUSTERING METHOD Fabian Valerian; Sri Yulianto
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.314

Abstract

Based on the map of the spread of COVID-19 in Indonesia, Kalimantan Island is the second island with the number of COVID-19 distributions after Java Island. The purpose of this study is to provide information to the entire community and government, especially the Kalimantan region regarding the clustering of the spread of COVID-19. The K-Means algorithm method used in the grouping is based on data on positive, recovered, and deceased people collected by each province on the island of Kalimantan, then a geographic information system (GIS) is applied in mapping to display the clustered distribution area of ​​each district on the island of Kalimantan. The result of this research is that the k-means algorithm is able to classify data with low, medium, and high distribution levels so that later the distribution area can be mapped using GIS based on the results of the clustering. With the results of this application, it is hoped that it can be used as information for the government and also the public to think about what efforts should be made if bad things happen later, based on the level of spread to be used as a priority scale in controlling the spread of the COVID-19 virus.
DECISION SUPPORT SYSTEM FOR SOCIAL ASSISTANCE’S BENEFICIARIES USING AHP – PROMETHEE METHOD IN KELURAHAN KARANGANYAR GUNUNG Aji Supriyanto; Nisa Rahma Ramadhani
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.316

Abstract

Indonesia as a developing country has problems related to poverty. The government tries to overcome the problem of poverty from year to year by launching various aid programs, one of which is the Family Hope Program (PKH). The distribution of PKH social assistance (bansos) can actually help millions of beneficiaries every year, but there are also obstacles related to the lack of precise targeting of beneficiaries, which often occurs because there is no definite standard in the hierarchy of criteria for beneficiaries. Using the Decision Making System (SPK) with the Analytical Hierarchy Process (AHP) - Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method can provide an alternative to prioritizing aid recipients to assist decisions made by officers and related office holders. The AHP method is used to weight the poverty criteria, while the PROMETHEE method is used to rank the priority of social assistance recipients. Using 45 data on prospective PKH social assistance recipients in Karanganyar Gunung Village who were selected based on 14 poverty criteria, the Central Statistics Agency (BPS) resulted in a priority ranking of social assistance recipients. The ranking is based on the netflow value, the higher the value, the higher the priority level. The ranking using this method gives results in the form of residents with the first priority of receiving social assistance with a net flow value of 0.342 owned by Sumirah followed by Meliyani Kusrini with a net flow value of 0.325.
ANDROID-BASED EDUCATIONAL GAME: RECOGNITION OF PAPUA ENDEMIC ANIMALS Kristia Yuliawan; Gunawan Prayitno; Sutarto Wijono; Sri Yulianto Joko Prasetyo; Suryasatriya Trihandaru
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.319

Abstract

Papua is the largest island in Indonesia; several animals are included in the endemic group. These animals are only found in certain areas and not in other areas. To study the endemic animals of Papua, children can explore them through books that display pictures of endemic animals in Papua. Children often experience difficulties learning from books taught by teachers and parents caused by children who are less enthusiastic about participating in learning. Another problem is that learning about Papua's endemic animals through books is impractical and inefficient because thick books provide a heavy burden for children to carry. Hence, children are reluctant to study them. With educational games, media is a medium that can be used by children so that it is easy to give lessons about the endemic animals of Papua. This educational game increases efficiency and effectiveness in terms of the learning process at home and school. Learning this educational game can be done anywhere at any time so that children can learn about Papua's endemic animals innovatively and efficiently. The method used in making this educational game introducing Papua's endemic animals uses the Agile Development method. Based on testing the educational game application using the black box method, it was found that this educational game was following what was expected because there were no errors found in the menu on the system, so it worked properly.
IMPLEMENTATION OF CRM SYSTEM IN IMPROVING SERVICE QUALITY AT ZAHRA MART TANJUNGBALAI STORE Zuhairoh Zuhairoh; Yessica Siagian; Sahren Sahren
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.320

Abstract

Zahra Mart Tanjungbalai is a business that sells various kinds of products ranging from cosmetic products, basic necessities and other goods located on Jl. M. Abbas, No B Lk. VII Ex. Sirantau district. Datuk Bandar Tanjungbalai City. The problem that occurs at Zahra Mart is that it has not implemented a website-based online sales system in marketing its products, and information about the products being sold is still limited, only people around the location know the existence of Zahra Mart Tanjungbalai. Therefore, the application of a CRM system is used to improve service quality at the Zahra Mart Tanjungbalai store which can help buyers find information about the products being sold and make it easier for buyers to place orders without having to come directly to Zahra Mart Tanjungbalai. In this study using qualitative methods that can help researchers to obtain solutions to all problems. The results of this study can help Zahra Mart in marketing their products and expanding sales of the products they market because of the features of rating, promo, discount, cashback, media chat, and service quality assessment (questionnaire). agree with the application of CRM at the Zahra Mart Tanjungbalai store. From the graph, it can be seen that the survey results strongly agree 55.89%, agree 23.72%, disagree 14.12%, strongly disagree 9.42%.
TOPIC MODELING USING THE LATENT DIRICHLET ALLOCATION METHOD ON WIKIPEDIA PANDEMIC COVID-19 DATA IN INDONESIA Wilujeng Ayu Nawang Sari; Hindriyanto Dwi Purnomo
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.321

Abstract

Wikipedia is a web-based encyclopedia that is used to search for information. In one of the Wikipedia articles, a problem has been found regarding no one has clustered on the topic of the Covid-19 pandemic in Indonesia. The method used for this research is the Latent Dirichlet Allocation (LDA) method. The Latent Dirichlet Allocation (LDA) method is the most widely used topic modeling method today. In this study using 6658 words in English that will be used for the dataset. Then every word that appears will be counted using Corpus. This study applies topic modeling using the Latent Dirichlet Allocation (LDA) model and how to analyze COVID-19 data taken from Wikipedia. The LDA method will cluster by looking at the number of words that appear in Corpus and will determine the number of clusters and the number of topics and determine the iteration. The purpose of this study is to classify the information contained in the Wikipedia Article so that it can be used as an evaluation material in improving services and handling Wikipedia using the latent direchlet allocation method. The LDA method will mark every word contained in the topic in a semi-random distribution and will calculate the probability of the topic in the dataset and will calculate the probability of the word on the topic of each iteration. In this study, 5 iteration tests were conducted on topic modeling and a number of different topics. After the experiment is carried out, the final results obtained will be analyzed and get 1 number of topics with the best results with the most discussion topics regarding health.
SELECTION THE BEST QUIZ APPLICATIONS AS LEARNING PERFORMANCE EVALUATION MEDIA USING THE ANALYTICAL HIERARCHICAL PROCESS METHOD Rido Dwi Kurniawan Kurniawan; Refgiufi Patria Avrianto; Richardus Eko Indrajit; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.326

Abstract

The existence of the COVID-19 pandemic requires the whole world to limit activities outside the home, including in the world of education that uses a learning system from home. To facilitate learning activities, relevant media are needed, currently there are many recommendations for quiz applications with various interesting features. With the selection of the right learning application, it is hoped that online learning activities can run more pleasantly and be easily accepted by teachers and students. In this study, analysis and comparison was carried out with the most widely used quiz applications such as Kahoot, Quizizz, Mentimeter, Quizlet, and Educandy based on the features available in the selected quiz application. The five apps were rated based on the criteria: Security, Easy to Use, Features, Stable Connectivity, Results and feedback for Identification on the best quiz apps. Then the assessment will be analyzed and processed using the Analytical Hierarchy Process (AHP) method with the help of the AHP Calculator application. The results of this study, Kahoot ranks first with a score of 27.7%, followed by Quizizz with a score of 24.3% and then Educandy with 19%, then Mentimeter with 16% and in the last place there is Quizlet with a value of 13%. 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 the quiz application method, because this method shows the results of a weighting comparison between criteria and alternatives.
PREDICTION OF THE ENGLISH PREMIER LEAGUE CHAMPION TEAM FOR THE 2021/2022 SEASON USING THE NAÏVE BAYES METHOD Alesandro Sulthan Yudistira; Adi Nugroho
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.328

Abstract

The English Premier League is the top division league in England, the most popular football league for football fans. The competition date for the 2021/2022 season was announced on March 25, 2021 and the schedule was released on June 16, 2021. Manchester City won last season (2020/2021). The purpose of this study is to find out the results of Naive Bayes' accuracy in determining which team deserves to win in the English Premier League 2021/2022 season and which team does not deserve to win in the final standings. The method used for prediction is Naïve Bayes, which is to predict an opportunity in the future based on events in the past which is then called the Bayes theorem. Combined with Naïve's theorem, it can be said that a condition between attributes can be independent. Naïve Bayes is an arrangement of a system that calculates a collection of opportunities that are summed at a frequency and a combination of values ​​from the existing data set. Based on the research conducted, it was generated from predictions to determine the winning team quickly and accurately and from the test results it was necessary to process training data and test data with the Naïve Bayes method, it was obtained an accuracy of 32.7% for the chances of Manchester City winning and Liverpool with 42.06% accuracy to be able to win the English Premier League season 2021/2022.
IMPLEMENTATION OF FLASK FOR STOCK CHECKING IN DISTRIBUTION CENTER & STORE ON MONITORING STOCK APPLICATION IN PT. XYZ Alpha Adarrani Wibowo Putri; Yeremia Alfa Susetyo
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.334

Abstract

In a retail company stock control is a very important feature. Stock control that is done manually has many weaknesses especially for large companies that has many transactions in a day. This research aims to implement flask framework for control stock on the Monitoring Stock application at PT. XYZ. Flask framework was chosen because of its easy use and has a lot of libraries. The implementation of this flask framework uses the MVC architecture (Model, View, Controller). Then, it will be tested using box testing to ensure all features can run properly. Through the implementation of flask framework on the Monitoring Stock application, stock control at PT. XYZ can be more controlled so it can avoid losses due to stock miscalculations.
DECISION SUPPORT SYSTEM FEASIBILITY ACCEPTING HOME SURGICAL ASSISTANCE WITH WEIGHT PRODUCT METHOD IN NGABLAK VILLAGE Arya Eka Saputra; Adi Nugroho
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.338

Abstract

In rural areas, it is very often found that fragile and uninhabitable houses are due to poverty and do not receive housing assistance from the local government. As in Ngablak village, Magelang, there are many people's residences that need to be repaired. The Ngablak village government has created a Home Renovation Assistance program which is one way to protect and prosper residents. To solve the problem in determining the feasibility of receiving home surgery assistance, a Decision Support System was designed using the Weight Product method. The Weight Product method applies a multiplication technique to link the attribute rating and performs the rank first with the weight of the attribute in question. The weighted value for each criterion is used to generate a ranking value in order to make a decision on the candidate for home surgery assistance. Based on calculations using the Weight Product method, the results are in the form of citizen data that has been calculated with the output from the highest to the lowest value. The conclusion of this study is that the existence of a decision support system is very helpful for the Ngablak village government in selecting residents who really deserve assistance in a fast and appropriate way.
ROBOTIC PROCESS AUTOMATION FOR QUALITY CONTROL ASSESSMENT USING SELENIUM Refgiufi Patria Avrianto; Mochamad Isnin Faried; Erick Dazki; Richardus Eko Indrajit
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.341

Abstract

Robotic Process Automation (RPA) is a form of technology to automate tasks and routines performed by humans, which can be instructed to machine. Along with the rapid development of technology, the time that can be used to maintain the quality of a technology is becoming increasingly narrow. Therefore, RPA will imitate activities or tasks performed by humans on a computer with a much faster processing time and 100% accuracy without "human error". The agile method was chosen in this study because of its focus on flexibility and more responsiveness to required changes. The system developed in this paper uses the Selenium library with the Python programming language and retrieves task data from the MNC IT team, especially the QC division for the RCTI+ website Quality Assessment process. From the results of testing this system, it shows that the testing process using this system and testing from a tester / examiner get the same results. However, because this system is programmed, it will have more stable and efficient results.

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