cover
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 961 Documents
IMPLEMENTATION OF THE K-MEANS CLUSTERING ALGORITHM FOR THE COVID-19 VACCINATED VILLAGE IN THE UJUNG PADANG SUB-DISTRICT Dewi Sinta Saputri; Guntur Maha Putra; Mustika Fitri Larasati
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.165

Abstract

The grouping of villages vaccinated against Covid-19 in Ujung Padang District will produce several village groups with the same characteristics in each group, but there is no technology that is capable of assisting the work of the sub-district office staff in grouping villages vaccinated against Covid-19. carry out data collection, as a submission for the next Covid-19 vaccination submission/request so that it is appropriate and can help make the Covid-19 vaccination program successful in Indonesia in sub-districts. This research method was carried out by applying data mining techniques and using the k-means clustering algorithm method. Tests were carried out using Microsoft Excel, rapidminer application, and PHP programming language with MySQL as the database. The results of this study were 3 clusters consisting of C1 at the village level vaccinated with the highest Covid-19, there are 2 nagori, C2 at the village level being vaccinated against Covid-19, while there are 12 nagori and C3 at the village level vaccinated with Covid-19, there were 6 nagori. This study concluded that the k-means clustering algorithm can be used to make it easier to classified the vaccinated villages of Covid-19 on Ujung Padang sub-district.
WEBSITE-BASED COMPETENCE CERTIFICATION INFORMATION SYSTEM USING RAPID APPLICATION DEVELOPMENT (RAD) METHOD Zidny Fahma Ilmy Gorby; Cepi Ramdani; Khairun Nisa Meiah
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.173

Abstract

Information system is a series of information systems that are overall and organized and rationally capable of transforming data into information. Competency Test Place (TUK) is a unit implementing competency standard testing, competency certification in a professional field and has responsibility for the implementation, guidance and development of competency standards and competency certification. Based on the results of interviews with the TUK unit manager, there are several obstacles in their services, namely, the certification registration process which has not been effective in serving prospective competency test participants, then certification information related to certification is still difficult for students to obtain directly. Based on these problems, it is necessary to have a Competency Certification information system that has a function as a medium for sharing information as well as a media for registration of certification. This study aims to build a Certification Information System and measure the level of conformity. The method that will be used in this research is RAD (Rapid Application Development). RAD was chosen because this model emphasizes the short development cycle of software development. UAT Operational Acceptance Testing was chosen because the level of acceptance of a system by users can be a benchmark for assessing the acceptance of an information technology by users and requires users to use the system or software that has been created. The test results using Operational Acceptance Testing type UAT on the system have obtained valid results which are accepted by 24 respondents who have tried the competency certification information system.
THE BEST HARVESTERS ASSESSMENT SYSTEM AT PT. PADASA ENAM UTAMA BY SIMPLE ADDICTIVE WEIGHTING (SAW) METHOD Trika Ayu Intan Sari; Nuriadi Manurung; Santoso
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.177

Abstract

The selecting of best harvesters at PT. Padasa Enam Utama have been using a manual method so that the announcement of reward results is often delayed. The purpose of this research was application of the simple addictive weighting (SAW) method which has the opportunity to facilitate the management of PT. Padasa Enam Utama to determine the best harvester and make it easier to display reward results to employees. The research method was carried out using the SAW method with the research stages consisting of data collection, analysis, system design, system development. The results of this study that SAW value referring to the criteria for harvesters who deserve to receive rewards according to the relevant data. The results were namely 3 harvesters, Selamet, Agun, and Ateng with the highest SAW value were respectively 0.7647, 0.6235 and 0.5411. This study concluded that SAW method can help CQC (Crop Quality Control) in determining the best harvesters who deserved a reward.
DEVELOPMENT OF BUSINESS INCUBATOR MANAGEMENT INFORMATION SYSTEM AT UNSOED BUSINESS INCUBATOR CENTER lasmedi afuan; Arief Kelik Nugroho; Muhammad Randy Cahya Mardika
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.180

Abstract

The Unsoed Business Incubator Center (PIB) is one of the incubation centers under the General Sudirman University Community Service Institute. PIB Unsoed aims to help develop the businesses of MSMEs and Startups around the Jenderal Sudirman University area. In the incubation process, of course, there is a lot of data recording related to the tenant incubation process, such as administrative data, data development, data assistance, and other data related to the tenant incubation process. The process of recording data on PIB Unsoed is still done manually without any technological aids such as computers or cellphones. In addition, at PIB Unsoed, there are often cases of data loss regarding the business incubation process that has taken place at PIB Unsoed. From the background of the problem above, the author wants to create a Business Incubator Assistance Management Information System for PIB Unsoed. This system is based on a website using the Laravel framework and developed using a prototyping development method. The results of the research that has been done can be concluded that the Management Information System for managing the Business Incubator can be implemented at PIB UNSOED.
APPLICATION OF DEMPSTER SHAFER FOR CANARY DISEASE DIAGNOSIS AT IN LIVESTOCK AND ANIMAL HEALTH SERVICE OF ASAHAN REGENCY Reza Arif Sya’bana; Dewi Anggraeni; Hommy Dorthy Ellyany Sinaga
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.181

Abstract

Canaries are birds that are in great demand by hobbyists and breeders, especially local canaries and imported canaries. The advantages of imported canaries have an ideal body posture and also thick fur. However, where there are few problems with imported canaries, especially the sound that tends to be less noisy and the duration of the tone is not too long and canaries can be cultivated because they have a high economic value. Canaries are also very easily infected with diseases, infections that can attack these canaries, such as diseases caused by polioma infections or also disorders from parasites and bacterial contamination of the digestive organs. To overcome this problem, an expert system was created to diagnose diseases in canaries using the Dempster Shafer method with the PHP programming language and MySQL database. This expert system application is designed using the Dempster Shafer method based on subjective possibilities and rules in combining degrees of confidence based on the evidence obtained. This theory has several characteristics that are intuitively in accordance with the way of thinking of an expert, but a strong mathematical basis. With this application, it is hoped that it will make it easier for the hobbyist/breeder to find out the disease he is suffering from and find out what percentage of the disease he suffers, so that the hobbyist/breeder can take immediate action.
IMPLEMENTATION OF BUSINESS TO CUSTOMERS IN ELECTRONIC-CUSTOMER RELATIONSHIP MANAGEMENT TO INCREASE ORDERS FOR ROSE NOODLE PRODUCTS WITH THE WEB Yunita; Yessica Siagian; Muhammad Ardiansyah Sembiring
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.183

Abstract

Noodles are a food requirement that is a favorite food by the people of Indonesia. Mie Mawar is one of the actors (MSMEs) engaged in the food business that provides yellow noodles or wet noodles without preservatives so that they are healthy for consumption which distinguishes them from other noodle businesses. In the last period, there has been instability in orders for Mie Mawar due to competitors and the marketing process which has been carried out only through word of mouth, so that information dissemination is limited, plus the Covid19. Reports of sales or orders on Mie Mawar still do manual bookkeeping so that it is possible for errors or recording errors to occur and even lose other important transaction files. Therefore Mie Mawar requires Electronic-Customer Relationship (E-CRM) in a strategy to increase the order of Mie Mawar which is more creative to provide solutions to existing problems. The system created will make it easier for customers to process noodle orders more efficiently in order to increase orders and profits for business people. By making three efforts in providing CRM strategies including strategies in Acquiring (Getting customers), Enchancing (Strengthening relationships), and Retaining (Maintaining Customers). With the implementation of E-CRM on Mie Mawar, there was an increase in orders of 51.23% in January 2022. It will continue to increase along with new customers at Mie Mawar.
APPLICATION OF THE MATURITY LEVEL MODEL IN THE PLAN AND ORGANISE (PO) DOMAIN USING THE COBIT 4.1 FRAMEWORK FOR INFORMATION TECHNOLOGY GOVERNANCE Sutri Pahdianingsi; Nofriadi; Wiwin Handoko
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.184

Abstract

Management on human resource management at Wira Husada General Hospital for services in IT currently needs to be audited for the development of current IT performance that is in line with management expectations or not regarding the information system. If an IT audit is not carried out, it will affect accreditation, service satisfaction and the development of information systems. As for examples of previous research, namely the case study of the ARS Bandung University which applied COBIT 4.1 to conduct audits of academic information systems. The purpose of research at RSU Wira Husada is to build an IT governance support application system that provides maturity level services for the HR department using the COBIT 4.1 framework method that focuses on the web-based Plan and Organize (PO) domain. This research method was carried out by filling out a questionnaire assessment by the respondents then processed using the COBIT formula and calculating the value of the maturity level. The results showed that currently Wira Husada RSU was at a managed and measurable level with a maturity level of 3.96. This study concludes that RSU Wira Husada currently has implemented a planning and organizing framework at the managed level.
IMPLEMENTATION OF CUSTOMER RELATIONSHIP MANAGEMENT IN THE GALLERY SAHABAT MUSLIMAH Yunita Sari; Riki Andri Yusda; Andri Nata
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.185

Abstract

Gallery Sahabat Muslimah is a business engaged in selling Muslim clothing or fashion needs such as robes, skirts, headscarves, socks, masks and others. Gallery Sahabat Muslimah currently does not have its own website to market the products it sells. In addition, orders are still made by recording manually so it is inconvenient if there are customers who cancel their orders. Currently, the Friends of Muslimah Gallery market its products offline and online using the FACEBOOK application media which is still an obstacle because the menu display regarding the product is not available in full, such as existing stock, ordering, promotion, and payment methods. So it is necessary to have a Customer Relationship Management system that is made in the form of a web-based system that will help to increase sales and customer loyalty because it has been computerized. This system was created to make it easier for customers to make purchases or order products, view the latest items, view product stock, view promotions and be able to make payments online or via bank and others.
FRONTEND DEVELOPMENT IN THE FINAL STUDY MANAGEMENT SYSTEM (SIPEDA) AT THE ENGINEERING FACULTY OF JENDERAL SOEDIRMAN UNIVERSITY Qotrunnada Oktiriani; Arief Kelik Nugroho; Eddy Maryanto
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.186

Abstract

Frontend is a very important part in system development because it is a communication mechanism between the user and the system, so that it will help users to understand how to use and work an application or system. An attractive frontend is also an important factor to improve the quality and user experience while using an application. The purpose of this research is to build frontend final study management system at the engineering faculty of Jenderal Soedirman University with an attractive and easy-to-use interface to facilitate the academic community in managing the final study process which includes final assignments, comprehensive examination and graduation which can be accessed through the website. The development of the management system of this final study uses the DevOps method where the stages discussed in this study include the planning, development, and deployment. The final study management system login is already connected to the SSO KORI Unsoed. In developing this frontend system, the Laravel framework is used by utilizing the blade templating engine feature and several javascript libraries that can simplify and speed up the system display development process. The results of this study are the final study management system interface that has been adapted to the needs of each system user and is connected to the database and can be accessed on an Unsoed server.
COMPARISON OF DATA MINING ALGORITHM FOR FORECASTING BITCOIN CRYPTO CURRENCY TRENDS Indri Tri Julianto; Dede Kurniadi; Muhammad Rikza Nashrulloh; Asri Mulyani
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.194

Abstract

The popularity of cryptocurrencies has been increasing in the approximately 10 years since their emergence in 2008. Bitcoin is the most popular and the most instrumental in the existence of cryptocurrencies. The price of coins in cryptocurrencies is the same as the price of shares in the capital market which always fluctuates and even tends to be more volatile than the stock market. This condition is very influential for actors in cryptocurrencies. This study aims to compare the Algorithm Forecasting so that it can be known the right algorithm in Forecasting the trend of Bitcoin. The algorithm used is Algorithm Supervised Learning that is Neural Network, Linear Regression, Support Vector Machine, Gaussian Process, and polynomial Regression. Accuracy was measured using a 10 Fold Cross-validation model and evaluation is done by Root Mean Square Error (RMSE). The results showed that the Algorithm Neural Network is an Algorithm Forecasting best with RMSE value 277,237 +/- 74,736 (micro: 287,208 +/- 0.000) among other Algorithms so that Neural Network can be used for Forecasting cryptocurrency Bitcoin.

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