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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1,048 Documents
OPTIMIZATION ISO 25010 WITH THE VORD METHOD AND C4.5 ALGORITHM IN SAVING LOAN COOPERATIVE
Subkhi, Akhmad Yunus;
Andrianingsih, Andrianingsih;
Lantana, Dhieka Avrilia
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.4.900
Advances in technology have made many companies and agencies, especially cooperatives, use information technology for their operational activities. Not infrequently in the operation of its business cooperatives have several obstacles caused by data processing and loan decision making still using conventional models. Cooperatives need a computerized information system in achieving organizational goals. To overcome this problem, a system is created that is integrated in one database which will be implemented by the Cooperative to facilitate its business operations. This study uses the Viewpoint Oriented Requirement Definition (VORD) method to analyze system requirements based on the user's point of view. In addition, the C4.5 Algorithm and the Naïve Bayes Algorithm as decision making for loan approval which will be compared in recommending and classifying loans using the confusion matrix, the results of testing the two algorithms with an accuracy value of the C4.5 Algorithm of 88.00% and an accuracy rate of the Naïve Bayes Algorithm of 76.00%. It can be concluded that the accuracy value of the C4.5 Algorithm is feasible to be implemented into the Koperasi Jasa Pratama system. The application that is made is then tested using the ISO 25010 standard to produce an optimal application. After conducting a needs analysis using the VORD method for ISO optimization, an application test is carried out using the ISO 25010 standard. From the test results, the characteristics of the Functional Suitability test are: Appropriate; Usability : 90.08; Performance Efficiency : Grade "B"; Portability : no errors. The test results show that the system is appropriate and feasible to use.
RIAU PROVINCE TOURISM WEBSITE IMPROVEMENT PROGRAM USING E-GOVQUAL AND IMPORTANCE PERFORMANCE ANALYSIS METHODS
Ichsan Ahmad Gunawan;
Muhammad Jazman;
Tengku Khairil Ahsyar;
M. Afdal
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.5.922
The Riau Province Tourism Office implements E-Government by building a website as a media public relations. This website is used to provide information on tourist destinations, facilities and news about Riau Province. Previously this website had never been evaluated so that the community's assessment of the quality of the Riau Province Tourism service site was unknown. For this reason, this study aims to analyze the service quality of the Riau Province Tourism Office website based on the perception or point of view of its users, in this case especially the people of Riau Province using the Electronic Government Quality (E-GovQual) and Importance Performance Analysis (IPA) methods. To assess the service quality of the Riau Province Tourism Office website using 6 dimensions and 28 E-GovQual attributes. The results of this study show that the total value of the performance score is Likert 3 (good) which is 3.30, the value of importance is 3.27, and the gap between performance and importance is 0.002 or > 0. The results of this study indicate that service performance has met the interests user. Thus the overall performance of the Riau Province Tourism Office website service is good and has fulfilled the interests of users. Furthermore, from the results of the IPA analysis, 7 attributes (EU1, TR1, FIE2, EU2, TR3, CS2, CAI3) are obtained with top priority and 5 attributes (EU3, FIE1, RB3, CA12, TR2) that need to be improved.
ANALYSIS OF DIGITAL LIBRARY SERVICE QUALITY ON USER SATISFACTION USING WEBQUAL, LIBQUAL AND IPA METHODS
Rahman, Eman;
Jazman, Muhammad;
Zarnelly, Zarnelly;
Permana, Inggih
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.4.942
Universitas Pahlawan Tuanku Tambusai has used the information system Senayan Library Management System (SLiMS) version 7. SliMS is an integrated system to provide information to support operational, management and decision-making functions in libraries. However, there are still obstacles in its use, namely, the lack of tools and technology to support the implementation of the SLiMS system, the unattractive SliMS content, the OPAC service menu is less effective in searching for references in the library, and the book collection is rarely updated so it does not meet what the user needs. This study aims to measure the service quality of SLiMS from the user's perspective. This research instrument used Web Quality (WebQual), Library Quality (LibQual), and Importance Performance Analysis (IPA) methods. The results of this study resulted in a good level of system service quality but GAP was still found from perceived performance which still had a value of <0 or -0.63 and a conformity level of 78%, which meant that there were still results of user dissatisfaction with the performance provided by the service. SLiMS Hero University of Tuanku Tambusai. Quadrant A results are a top priority to be improved. the variables are: Easy to navigate (UQ3), Attractive appearance (UQ5), Latest available information (SI1), Provides detailed information (SI4), Provides up to date information (IC3), Cleanliness and beauty (LP2), Lighting and temperature settings (LP3), Guidance from the librarian (AS5).
MAPPING RAINFALL [ISOHYET] IN AREAS WITH A SHORTAGE OF RAIN STATIONS USING MANUAL STATION TECHNIQUE AND PRECTOTCORR MERRA-2 DATA ANALYSIS
Prayitno, Gunawan;
Kaunang, Gerry Novand;
Amiruddin Natsir , Akhmad
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.4.943
Rainfall observation data from each rain station in an area is so important to measure the intensity of rainfall in that region. The number of rain stations that are not ideal will affect the process of acquiring rainfall data which is the primary data required for regional rainfall mapping. This study uses the manual station technique and analysis of satellite precipitation data as an alternative aid for mapping annual rainfall with the Isohyet method for areas constrained by a shortage of rain stations like the Nabire Regency area. The purpose of the research was to study the intensity of rainfall in the Nabire Regency area based on data PRECTOTCORR, bias-corrected precipitation by MERRA-2 for the last ten years of precipitation data from 2014-2023 taken from the POWER-NASA climate map and managed through ArcGIS software. The area of Nabire Regency with 12.075,00 km2 includes the category of place with high rainfall intensity where the average rainfall ranges from 2000 mm – 5000 mm per year. The results of rainfall mapping with IDW (Inverse Distance Weighting) interpolation and Kriging interpolation show that there are several areas with the highest rainfall, Napan, Siriwo, Kimi, Menou, and Dipa, while the lowest rainfall areas are in the coastal areas, Teluk Umar and the northern region of Wapoga.
CLASSIFICATION OF VOCATIONAL HIGH SCHOOL GRADUATES' ABILITY IN INDUSTRY USING EXTREME GRADIENT BOOSTING (XGBOOST), RANDOM FOREST, AND LOGISTIC REGRESSION
Agustiningsih, Afikah;
Findawati, Yulian;
Alnarus Kautsar, Irwan
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.4.945
The education world is one of the main sources in producing Human Resources. Vocational High School (SMK) is one level of school that presents various majors that are ready to compete in the industrial world. Therefore, a school institution needs to have a system to determine the quality of education provided to students so that they can compete in the industrial world. This study designs a system that is capable of classifying SMK student graduates as an evaluation for the school institution. The goal is to enable the school to devise strategies for producing better student quality in the following year. There are four classes in this study, namely those who work, those who are not working yet, those who are in college, and those who are entrepreneurs. There are several stages in building the classification system, including pre-processing, processing, and evaluation. This research uses three machine learning algorithms, namely XGBoost, Random Forest, and Logistic Regression. The results of the three methods obtained a training score of 91.70%, a test score of 66.88%, and an accuracy score of 67% generated by the XGBoost algorithm. The Random Forest algorithm produced a training score of 97.36%, a test score of 68.71%, and an accuracy score of 67%. Meanwhile, Logistic Regression produced a training score of 51.14%, a test score of 50.43%, and an accuracy score of 50%.
TOPIC MODELING IN COVID-19 VACCINATION REFUSAL CASES USING LATENT DIRICHLET ALLOCATION AND LATENT SEMANTIC ANALYSIS
Malihatin S, Ulfah;
Findawati, Yulian;
Indahyanti, Uce
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.5.951
COVID -19 vaccination is a program provided by the Indonesian government to minimize the spread of the virus. The COVID-19 vaccination program in Indonesia goes hand in hand with issues that are circulating, causing controversy and rejection of vaccination on social media, especially Twitter. There are many factors that influence vaccine rejection on Twitter, to summarize frequently discussed topics and find out hidden topics, this study uses the Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) methods from 1797 Twitter scrapping data. Both models require a set of words that have been converted into a matrix, so before conducting LDA topic modeling, the dataset will undergo a bag of word (BOW) calculation. Meanwhile, in LSA topic modeling, the existing dataset will undergo word weighting of frequently occurring words using Term Frequency - Inverse Document Frequency (TF-IDF). This study was conducted to find and summarize hidden information in the form of frequently discussed topics, thus understanding public opinions related to the COVID -19 vaccination refusal case. LDA and LSA methods will display topics based on the probability and mathematical calculations of word occurrences in each topic in the document. The topics that appear will be further analyzed through coherence score by applying a limit of 20 topics to display the best value. Further modeling experiments are carried out to display topics through LDA and LSA models, this study takes 6 topics with the highest coherence values including the right of individuals to choose whether to be vaccinated or not (0.484607), the Ribka Tjiptaning controversy (0.473368), rejection of the COVID-19 vaccine by groups represented by public figures (0.463631), punishment for non-compliance in the form of fines (0.324924), and halal certification (0.312521).
LORAWAN GATEWAY PLANNING USING AS923-2 FREQUENCY IN TASIKMALAYA FOR MONITORING ODC
Enriko, I Ketut Agung;
Nizar Gustiyana, Fikri;
Chandrayana Giri, Gede
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.5.955
This study aims to design a LoRaWAN network and find out how many gateways are needed to cover the research area and to design an IoT-based monitoring system for ODC devices on the FTTH network based on data at PT. Telkom Witel Tasikmalaya. The method used is a simulation using Atoll software version 3.40 and several calculation stages to predict the parameters of RSSI (Received Signal Strength Indicator) and SINR (Signal to Interference Noise Ratio) in a planning area of 358.66 km2. This study using AS923 frequency with a bandwidth of 125 kHz and a Spreading factor of 10. The results obtained are signal strength (RSSI) and signal quality (SINR) parameters. Based on the results of calculations and planning simulations, it produces 20 gateways using SF 10 with an RSSI parameter of -69.53 dBm and a SINR parameter of 20.21 dBm, each gateway can cover 4-5 km2 in the planning area.
IMPLEMENTATION OF TEXT INDEXING SYSTEM IN WEB-BASED DOCUMENT SEARCH APPLICATION USING MONGODB
Frankie, Frankie;
Susetyo, Yeremia Alfa
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.5.959
The rapid growth of information technology has led to an increase in the amount of data stored in databases every day. Relational databases (SQL) that have been in use for a long time are now being developed with the emergence of NoSQL databases such as MongoDB. MongoDB stores data in BSON format and has a Text Indexes feature that is useful for speeding up text search on string content. This feature is particularly useful in searching for data in the form of texts or strings in large quantities. MongoDB's Text Indexes have a flexible schema that does not require a strict schema structure to index text data, unlike SQL databases that require columns with the appropriate data type to perform indexing. MongoDB's Text Indexes support more languages than SQL because they use an open-source text search engine called Apache Lucene. In this study, the researcher will implement Text Indexing on document data (PDF) that has been converted into text, then inserted into MongoDB before indexing. Afterward, the researcher will compare the performance of search queries between indexed and non-indexed data in MongoDB in terms of speed. The comparison results will be presented in tables and graphs to facilitate understanding. Based on the research conducted, it can be concluded that the use of the text indexing feature in MongoDB can speed up keyword or string search time. In the experiment conducted using 5000 data records, the results showed that the use of text indexing for searching 1 keyword resulted in a search speed improvement of 11705,88%, for searching 2 keywords it was 60833,33%, and for searching 3 keywords it was 44320%.
IMPLEMENTATION OF VIRTUAL TOUR USING IMAGE STITCHING AS AN INTRODUCTION MEDIA OF SMPN 1 KARANGKOBAR TO NEW STUDENTS
Reza Setiawan, Muhammad;
Azrino Gustalika, Muhamad;
Lulu Latif Usman, Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.5.968
“During the pandemic, the education sector experienced a decline where students and teachers had to do online learning due to the increasingly widespread Covid-19 outbreak. Therefore, the Indonesian government decided to reduce activities that cause crowds in order to prevent the transmission of Covid-19 in Indonesia. With such problems, the author can provide a solution by using a Virtual Tour which is used as a medium to introduce Karangkobar 1 State Junior High School to students who want to register when PPDB takes place. Virtual Tour in the form of 360-degree panoramic images provided with a hotspot and several features such as popups such as images and information that appear in real time. In the functional testing of the Espensaka Virtual Tour application, it was carried out using the Blackbox Testing method on eight different smartphones which produced functions that could run well but had problems with the Gyroscope which could not run on laptops and computers. Then the test using the SUS (System Usability Scale) method with 90 respondents who filled out 10 questions on the questionnaire resulted in an average value of 73.8 which the score according to the System Usability Scale Grade was included in a good rating. From the results of testing using the method on the application, it can be concluded that the Espensaka Virtual Tour application can be run well but has problems with the Gyroscope which cannot be run on laptops and computers. The Espensaka Virtual Tour application can still be used by making an improvement on the recommended hotspot.
SYSTEMATIC LITERATURE REVIEW OF THE CLASS IMBALANCE CHALLENGES IN MACHINE LEARNING
Rifqi Fitriadi;
Deni Mahdiana
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman
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DOI: 10.52436/1.jutif.2023.4.5.970
The significant growth of data poses its own challenges, both in terms of storing, managing, and analyzing the available data. Untreated and unanalyzed data can only provide limited benefits to its owner. In many cases, the data we analyze is imbalanced. An example of natural data imbalance is in detecting financial fraud, where the number of non-fraudulent transactions is usually much higher than fraudulent ones. This imbalance issue can affect the accuracy and performance of machine learning classification models. Many machine learning classification models tend to learn more general patterns in the majority class. As a result, the model may overlook patterns that exist in the minority class. Various research has been conducted to address the problem of imbalanced data. The objective of this systematic literature review is to provide the latest developments regarding the cases, methods used, and evaluation techniques in handling imbalanced data. This research successfully identifies new methods and is expected to provide more choices for researchers so that imbalanced data can be properly handled, and classification models can produce unbiased, accurate, and consistent results.