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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
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Articles 60 Documents
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Search results for , issue "Vol 6 No 11 (2022): November 2022" : 60 Documents clear
Pengembangan Media Pembelajaran berbasis WEB pada Mata Pelajaran Komputer dan Jaringan Dasar Kelas X SMK Negeri 5 Malang Tites Agung Prabowo; Retno Indah Rokhmawati; Hanifah Muslimah Az-Zahra
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At a time like this with the COVID-19 pandemic, the government urges all educational institutions to organize distance learning activities. At SMK Negeri 5 Malang, teachers are required to carry out distance learning which is no less interesting than face-to-face learning. However, teachers do not innovate much in providing reference for learning materials during distance learning so that teachers cannot create learning media that attract the attention of students. One solution that can be applied to deal with these problems is by developing student learning aids in the form of website-based learning media in order to improve learning outcomes and affect student learning interactions and motivation in Computer and Basic Networking subjects. This research method is Research and Development (R&D) with ADDIE development method (Assessment/Analysis, Design, Development, Implementation, Evaluation). Learning media is made with the help of the Wordpress application. The data collection instruments were observation, interviews and questionnaires. The feasibility of this learning media was assessed by a team of media experts, and students. The analysis of the data from the feasibility results was carried out using the help of a Likert scale. The results showed that: (1) web-based learning media had been developed with the address https://komjardas2020.wordpress.com/ . (2) Web-based learning media on Application Software Installation Problems material is feasible to be used as a learning medium, judging from the results of the assessment by students as users of website-based learning media in obtaining a percentage of 88.46%.
Sistem Parkir Otomatis berdasarkan Pengenalan Jenis Kendaraan menggunakan Metode Yolov3-Tiny Gabe Siringoringo; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia is the country with the highest population growth in the world. The increasing population of Indonesia has resulted in higher transportation needs because people prefer to use private vehicles rather than public transportation. This causes problems for motorists when looking for an empty parking space in the parking area. To overcome this problem, the author uses the YOLOv3-Tiny algorithm method to detect and identify parking spaces. The research conducted by the author is an implementation of development research. The author shows a literature study to obtain the required information, performs requirements engineering to analyze needs in conducting research, then designs and implements a system based on needs. The design and implementation results will be tested and evaluated until the end of the stages carried out are concluded. From the results of system testing, the system obtained that the accuracy of the information for car parking slots was 98% and 97% for motorcycle parking lots. The system's accuracy rate for detecting car objects is 98.48%, and 95.27% for motorbikes. The average value of the accuracy of the servo response when opening and closing the bars is 88.88%. The results of the CPU speed test in 3-speed modes obtained the best performance at 2.0GHz. Therefore, an automatic parking system prototype can be made and can carry out its essential functions. The system can detect empty and non-empty parking lots by object detection and classification using the YOLOv3-Tiny model. The system performance results for speed detecting and displaying parking slot information with a maximum CPU speed of 2.3 fps and the fastest average system computing time at 0.41 seconds per loop from the beginning of the detection process to the end of displaying information.. The system's accuracy influences the results of the information displayed in detecting objects.
Prediksi Hasil Panen Tanaman Biofarmaka di Indonesia dengan Menggunakan Metode Extreme Learning Machine Zanna Annisa Nur Azizah Fareza; Imam Cholissodin; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Biopharmaceutical plants are a type of horticultural plants that are used as ingredients for medicines, herbs, cooking spices and cosmetic ingredients. Biopharmaceutical plants are used as alternative medicines for various diseases and are believed to increase the body's immunity by processing them into herbs and medicines. Biopharmaceutical plants as raw materials for medicines make a major contribution to Indonesia's export activities and are in high demand due to the development of the traditional medicine industry, but the yields of biopharmaceutical plants are very unstable. Therefore, to be able to estimate the yield of biopharmaceutical crops, a prediction must be made using the Extreme Learning Machine (ELM) method. The stages of making predictions with this method start from the pre-processing process, data normalization, training process, testing process, denormalization, and evaluating error values using MAPE. This method has advantages related to fast computation compared to other neural network methods. In this study, data ratio parameters were tested with holdout validation based on nested cross validation, features, and hidden neurons. From the results of the tests that have been carried out, the optimal parameter is obtained with the smallest MAPE value of 9.34%.
Analisis Pengaruh Gender dan Status Perkawinan terhadap Produktivitas Karyawan Work From Anywhere (WFA) Ferrinda Aprilia Kautsar Syaharani Hazmi; Diah Priharsari; Fajar Pradana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Work From Anywhere is a form of adjustment for an organization or company to the COVID-19 pandemic which cannot be separated from digital transformation assistance and advances in information technology which more or less change the order and work culture of an organization or company. Currently, employee productivity is a priority for most companies because this is one of the factors for the company's success in the time of COVID-19. An employee is considered productive if his mental state continues to motivate him not to be easily satisfied and motivates him to continue to grow every day. This can be influenced by several factors, such as internal factors that grow close to the employees themselves. The purpose of this study is to determine the effect of gender and marital status on employee productivity while working from anywhere. Data collection was carried out using a mixed method for employees who are currently or have undergone Work From Anywhere through semi-structured interviews and distributing questionnaires. The data obtained from the interview results were analyzed using the thematic analysis method. While the data obtained from the results of distributing the questionnaires were analyzed using a different test using SPSS software. The results of this study are that gender differences have an influence on productivity and lead to gender-based company policies where this can increase productivity during Work From Anywhere. Furthermore, differences in marital status do not affect productivity, but lead to differences in work motivation which can increase productivity when Work From Anywhere.
Monocular Depth Estimation pada Scene dalam Ruangan menggunakan U-Net dengan ResNet Krisna Pinasthika; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Autonomous driving systems have become a topic of interest in academia, industry, and the military in recent years. Active sensors such as Light Detection and Ranging (LiDAR) can generally be used to measure the distance to an object, but the costs and computations required are very large. To obtain a relatively lower cost, a monocular camera is the solution. Based on previous research, estimating the depth value in images from monocular cameras using the Deep Neural Networks (DNN) method is proven to work well. The U-Net DNN architecture using Residual Network (ResNet) on the encoder section is used in this research. The process of training, validation, and model testing were carried out on the DIODE: A Dense Indoor and Outdoor Depth Dataset with a total of 8899 data. The training and validation phases are carried out using Adam optimization. This research obtained the best model using a learning rate of 1e-3 and a weight on the loss function of 0.3. This model obtains an evaluation metrics that are able to compete with previous studies with an RMSE value of 0.2272, an REL of 1.3676, an accuracy with a threshold of 1.25 of 56.22%, an accuracy of a threshold of 1.252 of 78.97%, and an accuracy of a threshold of 1.253 of 89.29%. Testing the inference model obtains the number of frames per second (FPS) in the range of 5-12 FPS.
Perancangan Sistem Deteksi Koefisien Kopling Magnetik pada Wireless Power Transfer menggunakan Perbandingan Respon Frekuensi dengan Metrik Euclidean Distance Inayah Wulandari; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless Power Transfer (WPT) is a wireless electrical power delivery technology consisting of two circuits, namely the sender and receiver circuits. One of the methods of sending power on WPT is to utilize magnetic induction. This method utilizes a magnetic field or inductance created between coils between two coil windings. In this type of WPT, several parameters that can be optimized to optimize power delivery are frequency, capacitor, and coupling coefficient (K). One of the obstacles encountered in WPT optimization precisely in the parameters of the coupling coefficient is the difficulty of knowing the exact value of the coefficient. This is because the coupling coefficient is a value between 0-1 that describes the degree of proximity between the sender and receiver coils. Therefore, an algorithm was designed to detect the coupling coefficient on WPT by comparing frequency responses using the Euclidean Distance method. This algorithm detects the coupling coefficient by calculating the distance between the input data and the dataset using the Euclidean Distance method. From the calculation of the distance, a dataset with the closest distance will be selected to take the value of the coupling coefficient as the output of this algorithm. The algorithm designed in this study managed to provide accuracy of 96.22% and an average computing time of 0.38 seconds.
Sistem Deteksi Tingkat Stress Menggunakan Suara dengan Metode Jaringan Saraf Tiruan dan Ekstraksi Fitur MFCC berbasis Raspberry Pi Muhammad Nabil Aljufri; Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stress is a feeling of emotional tension that can be caused by many things, such as work, studies, family, etcetera. If stress is not addressed quickly, it can worsen and have an impact on your health. Several studies have produced good results with a device that can tell someone's emotion by their voice. The purpose of this research is to know whether someone is experiencing stress and to know the level of stress using their voice. By using MFCC feature extraction and Artificial Neural Network machine learning is expected to know the level of stress using speech. This system works by using Raspberry Pi, which connects to a microphone. The Raspberry Pi will wait for a command that start and stop the recording from a buttnon, then when a voice is recorded it will extract its feature and predict the result. That result will be shown on LCD. In this research, the dataset that is being used is Speech Under Simulated and Actual Stress (SUSAS) dataset, which contains 1860 utterances. The result of this research using 30 samples from the dataset is 90% accuracy, but when building the artificial neural network model, the testing accuracy is only 76%. where the average computing time while testing the system is 2.65 seconds.
Pengaruh Pembelajaran Flipped Classroom terhadap Hasil Belajar Prosedural pada Konteks Mata Pelajaran Pemrograman Dasar Program Keahlian Teknik Komputer dan Jaringan di SMK Negeri 3 Malang Zahrotul Indah Mulyasari; Admaja Dwi Herlambang; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The background of this research is the recovery after the Covid-19 pandemic which requires that students' learning and teaching activities must be carried out in a limited manner. Teaching teachers feel the need to review material that has been discussed during online (online) learning, so that the time needed during practicum sessions is reduced. Students are not able to understand the material properly, causing their learning outcomes to decrease. This study aims to find out whether the flipped classroom learning model can have an impact on procedural learning outcomes in Basic Programming subjects at SMK Negeri 3 Malang. The approach used is a quantitative approach, a Quasi-Experimental research type with a control-group pretest posttest design. The samples taken in this study were students of class X TKJ with a total of 40 students. Student learning outcomes were tested using the Unpaired Sample T-test and the N-Gain test. The results of the Unpaired Sample T-test show that the flipped classroom learning model has a positive influence on students' procedural learning outcomes, while the learning outcomes tested using N-Gain increase the average on student learning outcomes from the initial average of 29.333 with interpretation "not effective" to 57.625 with the interpretation of "quite effective". Based on the results of the N-Gain test, it can be concluded that the flipped classroom learning model is quite effective for improving students' procedural learning outcomes in the Basic Programming subject of the Computer and Network Engineering expertise program at SMK Negeri 3 Malang.
Pengembangan Sistem Point of Sales untuk Toko Emas berbasis Web (Studi Kasus: Toko Mas Leo) Muhammad Arif Fadhilah; Nurudin Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Toko Mas Leo is a jewelry store in Boyolali, Central Java that has been established for 25 years. The owner of Toko Mas Leo explained that there are many risks that haunt the sale of jewelry, including theft by employees, recording errors, loss of jewelry, fraud with fake jewelry and notes, and so on. Some of these risks are caused by the way Mas Leo's records are still manual, starting from bookkeeping money, controlling jewelry stock to making transaction notes. Therefore, in this thesis research, a web-based point of sales system for gold jewelry stores is built that can calculate and record jewelry buying and selling transactions, which is integrated with the management of jewelry stock records and money bookkeeping. This system also has integration with a printer to print QR-coded transaction notes, as well as a camera to read QR codes from the notes. This system was developed using a prototyping approach and built on the Node.JS platform using the AdonisJS framework with the TypeScript programming language. The system has performed well and in accordance with the demands that have been described, according to the findings of unit testing using the base path testing approach and validation testing using the black-box approach. The results of usability testing using the system usability scale (SUS) approach resulted in a score of 73.21 which is classified as 'good' and 'acceptable', so it can be concluded that this system can be well received by potential users.
Analisis User Experience Aplikasi SIPON CERIA RSUD Dr Darsono dengan menggunakan Metode Usability Testing dan User Experience Questionnaire (UEQ) Gumilar Hendra Kusuma; Diah Priharsari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

RSUD Dr. Darsono is a Regional General Hospital in Pacitan Regency. In improving services, RSUD Dr. Darsono utilizes mobile-based technology, namely the SIPON CERIA application. Users who are members of the Pacitan Regency community have problems using the application. Based on the existing problems, researchers conducted research on user experience analysis on the SIPON CERIA application. By using the usability testing and user experience questionnaire (UEQ) methods, it is hoped that the user experience analysis process for the SIPON CERIA application can be carried out. The usability testing was carried out on 3 users of the SIPON CERIA application with the result that the  effectiveness aspect obtained a value of 100% and meant that the user could complete the task given by the researcher, in the efficiency aspect it obtained a value of 100% and meant that the overall time obtained in carried out the task well enough and on the aspect of satisfaction with the system usability scale (SUS) questionnaire obtained a result of 69.16 and this means that the SIPON CERIA application has a marginally high level of user satisfaction. Then the UEQ questionnaire was distributed on user experience testing which was given to 20 respondents and obtained an average score of 1.170 on the six aspects of the ueq questionnaire, namely the aspects of interestingness, perspicuity, efficiency, stimulation, novelty and dependability which means that users of the SIPON CERIA application provide assessment of the positive direction.

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