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[GROUP DECISION SUPPORT SYSTEM FOR DETERMINING THE ELIGIBILITY OF PROVIDING HOUSING ASSISTANCE TO POOR FAMILIES ]]>
<![CDATA[Ilham Sahputra]]>;
<![CDATA[Mutammimul Ula]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.20884/1.jutif.2022.3.6.708
<![CDATA[It is very difficult to determine the eligibility of recipients of housing assistance for poor families, especially in gampongs, based on the number of gampong residents who apply. the large number of people who applied for assistance made it difficult for village officials and decision-makers to make decisions. The existence of a model analysis in the eligibility of recipients of housing assistance so that there is no subjectivity in the provision of assistance. The purpose of this research is to identify beneficiaries of housing assistance for underprivileged communities who meet the requirements using the Analytical Network Process (ANP) and Borda models. The variables used are parents' work (C1), number of parental dependents (C2), sources of income costs (C3), housing conditions (C4), status (C5) and education (C6). The results of selecting the ANP model were that Aminah got a score of 1.445, Hasanah (A2) 1.415, Baihaki (A3) 1.6148, Fakri (A4) 1.53. The recommendation from the ANP model analysis is baihaki with a value of 1.6148. while from the borda model the total values are A1:355, A2:355, A3:212, A4:381 A5:254, A6:209, with a weight value of 0.201, A2 weight: 0.201, A3 weight 0.120, A4 weight 0.216, A5 weight 0.144 and the weight of A6 0.118. The conclusion from the research results gives priority to the community for the highest value in obtaining housing assistance. this study which received priority baihaki with a value of 1.6148 for the results of the ANP model and the results of the value of the model group was A3 with a value of 0.272.]]>
<![CDATA[IMPLEMENTATION OF THE EDAS METHOD TO DETERMINE YOUTUBE CONTENT WORTH WATCHING FOR CHILDREN’S ]]>
<![CDATA[Yuan Sa'adati]]>;
<![CDATA[Fahmi Syuhada]]>;
<![CDATA[M. Afriansyah]]>;
<![CDATA[Herliana Rosika]]>;
<![CDATA[Joni Saputra]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.360
<![CDATA[Youtube is a platform for watching and sharing videos. Even today, Youtube allows a lot of information that is inappropriate for children to see and watch. This is due to the large number of videos containing violence, sex, or other inappropriate content that are dangerous to watch by children who don’t know the difference between good and bad. This situation can cause anxiety and panic in parents because they are not able to continuously supervise their children. The decision support system is a system that can help someone in making a decision. With the decision support system, it is hoped that it can help parents monitor their children’s Youtube viewing. Data analysis was carried out using the EDAS method by comparing Youtube content with one another based on six criteria, namely not containing violence, not containing harsh words, not containing pornographic elements, educating, entertaining, and creative. The EDAS method is a selection method based on the normalized values of the weights and the distance between positive and negative solutions. Of the 15 Youtube content, there are 5 recommended Youtube content to watch. The 5 Youtube content with the highest rankings are Cocomelon (0.189), Upin & Ipin (0.150), Hey Tayo and Pada Zaman Dahulu Kala (0.101), and Nussa Official (0.063)]]>
<![CDATA[AUGMENTED REALITY BASED IMAGE TRACKING FOR INTRODUCE PUPPET SHADOW TRADITIONAL MUSICAL INSTRUMENT ]]>
<![CDATA[Krisna Subarkah]]>;
<![CDATA[Muhamad Azrino Gustalika]]>;
<![CDATA[Pradana Ananda Raharja]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.376
<![CDATA[With the development of science and technology, traditional musical instruments are starting to be abandoned, one of the factors is the ease of playing modern musical instruments, and traditional musical instruments are also rarely found in everyday life. With the progress of today's era, AR (Augmented Reality) technology was born. The way Augmented Reality works is by scanning a sign or marker. This research aims to build an application with augmented reality technology to introduce traditional shadow puppets musical instruments. This research was designed using the MDLC (Multimedia Development Life Cycle) method. They were testing the application using blackbox testing on two smartphones with different specifications, with the result that both smartphones could run the application properly. Then for testing the use of the application using the heuristic evaluation method carried out by an expert with the highest severity rating value on the visibility of system status with a value of 0.625. The result of this research is the application of traditional shadow puppets musical instruments based on augmented reality, which is expected to be used to introduce traditional shadow puppets musical instruments.]]>
<![CDATA[DESIGN AND DEVELOPMENT OF ANDROID-BASED TRADITIONAL INDONESIAN CLOTHING IMAGE GUESSING GAME ]]>
<![CDATA[Nicodemus Rahanra]]>;
<![CDATA[Dila Erlianti]]>;
<![CDATA[Rissa Megavitry]]>;
<![CDATA[Dicky Jhon Anderson Butarbutar]]>;
<![CDATA[Zulfahmi HB]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.377
<![CDATA[In terms of cultural traditions, Indonesia is home to a wide variety of very diverse practices. As a result of different regions of the country, Indonesia is home to diverse cultural traditions. Traditional clothing is an important aspect of the Indonesian culture. The traditions and culture of each region are reflected in the clothes worn at traditional ceremonies; in addition, traditional clothing is a decisive feature of the culture of each region. Concern for the maintenance of national culture, which relates to the wearing of indigenous clothing, has been significantly reduced because of the passage of time. For example, one of the main reasons why people's interest in traditional clothing is not as strong as it used to be is because there is not enough socialization and presentation of Indonesian culture in society. The goal of this study project is to create a learning app for Android based on the guesswork of traditional Indonesian clothing. Research and Development techniques were selected as the proximity used for this investigation. Research and Development As a consequence of this research, an educational game that allows users to predict photos of traditional clothing from Indonesia will be produced on the Android platform. This game will also provide information to players about traditional musical instruments that can be found in Indonesia. It is hoped that educational video games will help in the process of exposing children to pre-existing cultures, and such games can also be seen as offering new perspectives to children. It is possible to draw the conclusion, based on the findings of tests conducted using the black box approach, that this application is capable of functioning in an appropriate way. Moreover, it can provide android smartphone customers with instructional games.]]>
<![CDATA[ANALYSIS OF SENTIMENT OF INDONESIAN COMMUNITY ON METAVERSE USING SUPPORT VECTOR MACHINE ALGORITHM ]]>
<![CDATA[Siti Sumayah]]>;
<![CDATA[Falentino Sembiring]]>;
<![CDATA[Wisuda Jatmiko]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.417
<![CDATA[Metaverse was widely discussed right on October 28, 2021, when Mark Zuckerberg announced the company name change from Facebook to Meta. Regarding the sophisticated Metaverse concept, it is possible to make the pros and cons between the Indonesian people. This information is widely distributed in various media crews, one of which is Twitter social media. Tweets from social media can be used to obtain data and information as material for research on sentiment analysis. This study aims to determine the response of the Indonesian people to the Metaverse. Material data was obtained from Twitter tweets with keywords or Metaverse queries. Research conducted by the Support Vector Machine Algorithm in research with TF-IDF word weighting, the tests carried out with the results of the class division of positive sentiment 70.69%, neutral 15.85%, negative 13.46% will produce values of accuracy, precision, recall, and f1-score. They use various data, namely, 90% training data and 10% test data. The result is high accuracy in testing many data, 2504 data, and the accuracy value is 81%, with an average value of 79% precision, 63% recall, and 57% f1-score.]]>
<![CDATA[MAKHRAJ ‘AIN PRONUNCIATION ERROR DETECTION USING MEL FREQUENCY CEPSTRAL COEFFICIENT AND MODIFIED VGG-16 ]]>
<![CDATA[Ibnu Kasyful Haq]]>;
<![CDATA[Agi Prasetiadi]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.419
<![CDATA[Based on research conducted by the Institute of Qur'anic Sciences (IIQ) as many as 65% of Muslims in Indonesia are illiterate in the Qur'an. In previous studies, research was conducted on the detection of Arabic word pronunciation errors against non-natives using the Mel Frequency Cepstral Coefficient (MFCC) and Support Vector Machine (SVM) methods with a test result of 54.6%. Due to the low accuracy results in previous studies, this study aims to design and build a system that can correct the accuracy of the pronunciation of makhraj letter ‘ain with the method used is a combination of MFCC and Convolutional Neural Network (CNN) with a vgg-16 structure that has been modified. The dataset used is 1,600 voice recordings divided into two categories of the correct pronunciation of the letter ‘ain and incorrect pronunciation of the letter ‘ain and four variations of pronunciation with different vowels with a total data of 800 records in each category. This study conducted several experiments on variations of the CNN kernel. The results of the training model that produced the best accuracy in all variations were the training model on kernels 16, 32, 64 with a final accuracy rate of 100% for all variations with 96% accuracy validation. In the fathah variation, the validation accuracy is 94%. In the variation of dhommah and the variation of kasrah obtained a validation accuracy of 97%. Therefore, this study succeeded in distinguishing the sound of the pronunciation of the letter ‘ain with different vowels and measuring the accuracy of the pronunciation of the letter ‘ain. Implementing the modified vgg-16 produces high accuracy and validation values for each speech variation during the model train process.]]>
<![CDATA[IMPLEMENTATION OF FUZZY TSUKAMOTO LOGIC TO DETERMINE THE NUMBER OF SEEDS KOI FISH IN THE SUKAMANAH CIANJUR FARMER`S GROUP ]]>
<![CDATA[Deden Farhan]]>;
<![CDATA[Feri Sulianta]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.477
<![CDATA[One of the innovation programs of the Sukamanah Village Karangtengah Cianjur farmer group is in the field of fisheries. One of the programs carried out is the nursery for ornamental Koi fish. Nursery of Koi fish is done because the market demand for Koi fish is high, but there are still very few Koi fish providers. However, farmer groups are currently unable to determine the number of seeds that must be provided to meet market needs to obtain maximum profit. To overcome this, a system is required that can calculate the number of seeds needed based on fish supply and market demand. Fuzzy logic can help humans make decisions; besides, fuzzy logic is an appropriate way to map an input space into an output space. This research aims to build an application using fuzzy logic to determine the number of seeds needed based on the amount of supply and market demand for Koi fish. The data used is sourced from the Sukamanah Farmer’s group, Cianjur. The results showed that using fuzzy logic succeeded in predicting the number of koi fish seeds that must be provided with an accuracy rate of 94,78% using the MAPE method.]]>
<![CDATA[ANALYSIS OF APPLICATION HAAR CASCADE CLASSIFIER AND LOCAL BINARY PATTERN HISTOGRAM ALGORITHM IN RECOGNIZING FACES WITH REAL-TIME GRAYSCALE IMAGES USING OPENCV ]]>
<![CDATA[Rio Aditya Pahlevi]]>;
<![CDATA[Bayu Setiaji]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.491
<![CDATA[Face detection and recognition systems have been developed with the various application of algorithms. Based on the literature study that has been carried out, the researcher will analyze the performance between the HCC (Haar Cascade Classifier) and LBPH (Local Binary Pattern Histogram) Algorithms with real-time grayscale images using the OpenCV library. The test is carried out based on a sample of facial images with external conditions in the form of lighting conditions which are divided into morning, afternoon, and evening, as well as varying face rotation angles. Parameters observed were accuracy values, FAR (False Acceptance Rate), and FRR (False Rejection Rate). Based on the results of the tests that have been carried out, the average value of accuracy is 56%, while the average value of FAR is 22% and FRR is 23%. Judging from the average accuracy value obtained is 56%, then to be able to be detected and recognized properly the face position must be in frontal condition and with normal lighting. Thus, the final results of this study can be considered for other researchers who want to use a similar algorithm to develop a detection and recognition system.]]>
<![CDATA[SMART MONITORING AND WATERING OF CHILI PLANTS USING A FUZZY MAMDANI SYSTEM ]]>
<![CDATA[Reza Syafrian Setiadi]]>;
<![CDATA[Feri Sulianta]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.505
<![CDATA[In this research, the design and manufacture of a prototype for a monitoring and watering system that integrates the concept of fuzzy logic in chili plants are carried out. The relationship between air humidity, air temperature and soil moisture can be identified to determine the right volume of water. The fuzzy system is built based on the chili farming environment and the specifications of the installed water pump. This system uses NodeMCU ESP8266 as the main controller for fuzzy inference calculations. The fuzzy inference calculation process uses the Mamdani method. Information such as air humidity, air temperature, soil moisture and water level will be displayed in real-time on the Blynk application connected to the internet network. The process of watering chili plants in this system is carried out according to a predetermined schedule. Results for seven days showed that the average duration of watering plants was 3.96 seconds with a flow rate ± 43.12 ml/s. By considering the maximum volume of the fuzzy system, the water consumption can be reduced with 30.96% efficiency.]]>
<![CDATA[A CLUSTERING OPTIMIZATION FOR ENERGY EFFICIENCY IN WIRELESS SENSOR NETWORK USING K-MEANS ALGORITHM ]]>
<![CDATA[Roid Zuhdianto]]>;
<![CDATA[Fransiska Sisilia Mukti]]>
<![CDATA[ Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023 ]]>
Publisher : <![CDATA[Informatika, Universitas Jenderal Soedirman ]]>
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DOI: 10.52436/1.jutif.2023.4.1.523
<![CDATA[The limitation of sensors energy make energy efficiency still a priority issue in Wireless Sensor Network (WSN) technology. One effort that can be done to overcome this problem is to design the right data transmission path (or better known as routing). Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the most widely used cluster-based routing protocols because it is considered capable of minimizing the amount of energy consumption through the formation of clusters or groups of nodes. Unfortunately, this protocol will experience a significant decrease in energy as the amount of data transmission increases. This is partly due to the clustering process which is carried out randomly and causes an imbalance in the distribution of the number of nodes between clusters. This study proposed a method to optimize the clustering process in the LEACH protocol by integrating the K-Means algorithm, which is called LEACH-KMe. A simulation was conducted to determine the effectiveness of the proposed method by considering 4 main parameters, namely total energy consumption, number of alive nodes, number of dead nodes, and residual energy. The test results proved that the LEACH-KMe protocol provides better performance than the conventional LEACH protocol (more even distribution of nodes, less total energy consumption and number of dead nodes, as well as a larger number of alive nodes and residual energy).]]>
