Jurnal Ilmu Komputer dan Informasi最新文献

Automated Ultrasound Object Segmentation Using Combinatorial Active Contour Method 使用组合主动轮廓方法自动进行超声波物体分割

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-04 DOI: 10.21609/jiki.v17i2.1298

A. Nugroho, Budi Sunarko, Hari Wibawanto, Anggraini Mulwinda, Anas Fauzi, Dwi Oktaviyanti, Dina Wulung Savitri

{"title":"Automated Ultrasound Object Segmentation Using Combinatorial Active Contour Method","authors":"A. Nugroho, Budi Sunarko, Hari Wibawanto, Anggraini Mulwinda, Anas Fauzi, Dwi Oktaviyanti, Dina Wulung Savitri","doi":"10.21609/jiki.v17i2.1298","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1298","url":null,"abstract":"Active Contour (AC) is an algorithm widely used in segmentation for developing Computer-Aided Diagnosis (CAD) systems in ultrasound imaging. Existing AC models still retain an interactive nature. This is due to the large number of parameters and coefficients that require manual tuning to achieve stability. Which can result in human error and various issues caused by the inhomogeneity of ultrasound images, such as leakage, false areas, and local minima. In this study, an automatic object segmentation method was developed to assist radiologists in an efficient diagnosis process. The proposed method is called Automatic Combinatorial Active Contour (ACAC), which combines the simplification of the global region-based CV (Chan-Vese) model and improved-GAC (Geodesic Active Contour) for local segmentation. The results of testing with 50 datasets showed an accuracy value of 98.83%, precision of 95.26%, sensitivity of 86.58%, specificity of 99.63%, similarity of 90.58%, and IoU (Intersection over Union) of 82.87%. These quantitative performance metrics demonstrate that the ACAC method is suitable for implementation in a more efficient and accurate CAD system.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"73 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hand Sign Interpretation through Virtual Reality Data Processing 通过虚拟现实数据处理进行手势翻译

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1280

Teja Endra Eng Tju, Muhammad Umar Shalih

{"title":"Hand Sign Interpretation through Virtual Reality Data Processing","authors":"Teja Endra Eng Tju, Muhammad Umar Shalih","doi":"10.21609/jiki.v17i2.1280","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1280","url":null,"abstract":"The research lays the groundwork for further advancements in VR technology, aiming to develop devices capable of interpreting sign language into speech via intelligent systems. The uniqueness of this study lies in utilizing the Meta Quest 2 VR device to gather primary hand sign data, subsequently classified using Machine Learning techniques to evaluate the device's proficiency in interpreting hand signs. The initial stages emphasized collecting hand sign data from VR devices and processing the data to comprehend sign patterns and characteristics effectively. 1021 data points, comprising ten distinct hand sign gestures, were collected using a simple application developed with Unity Editor. Each data contained 14 parameters from both hands, ensuring alignment with the headset to prevent hand movements from affecting body rotation and accurately reflecting the user's facing direction. The data processing involved padding techniques to standardize varied data lengths resulting from diverse recording periods. The Interpretation Algorithm Development involved Recurrent Neural Networks tailored to data characteristics. Evaluation metrics encompassed Accuracy, Validation Accuracy, Loss, Validation Loss, and Confusion Matrix. Over 15 epochs, validation accuracy notably stabilized at 0.9951, showcasing consistent performance on unseen data. The implications of this research serve as a foundation for further studies in the development of VR devices or other wearable gadgets that can function as sign language interpreters.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"26 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141270587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Image Deblurring for Non-Uniform Blur: a Comparative Study of Restormer and BANet 针对非均匀模糊的深度图像去模糊：Restormer 和 BANet 的比较研究

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1274

Made Prastha Nugraha, Laksmita Rahadianti

{"title":"Deep Image Deblurring for Non-Uniform Blur: a Comparative Study of Restormer and BANet","authors":"Made Prastha Nugraha, Laksmita Rahadianti","doi":"10.21609/jiki.v17i2.1274","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1274","url":null,"abstract":"Image blur is one of the common degradations on an image. The blur that occurs on the captured images is sometimes non-uniform, with different levels of blur in different areas of the image. In recent years, most deblurring methods have been deep learning-based. These methods model deblurring as an imageto-image translation problem, treating images globally. This may result in poor performance when handling non-uniform blur in images. Therefore, in this paper, the author compared two state-of-the-art supervised deep learning methods for deblurring and restoration, e.g. BANet and Restormer, with a special focus on the non-uniform blur. The GOPRO training dataset, which is also used in various studies as a benchmark, was used to train the models. The trained models were then tested on the GOPRO testing test, the HIDE testing set for cross-dataset testing, and GOPRO-NU, which consists of specifically selected non-uniform blurred images from the GOPRO testing set, for the non-uniform deblur testing. On the GOPRO testing set, Restormer achieved an SSIM of 0.891 and PSNR of 27.66 while BANet obtained an SSIM of 0.926 and PSNR of 34.90. Meanwhile, for the HIDE dataset, Restormer achieved an SSIM of 0.907 and PSNR of 27.93 while BANet obtained an SSIM of 0.908 and PSNR of 34.52. Finally, on the non-uniform blur GOPRO dataset, Restormer achieved an SSIM of 0.911 and PSNR of 29.48 while BANet obtained an SSIM of 0.935 and PSNR of 35.47. Overall, BANet shows the best result in handling non-uniform blur with a significant improvement over Restormer.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"52 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141268900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Q-learning Method for Disaster Evacuation Route Design Case Study: Digital Center Building UNNES Q-learning 方法在灾害疏散路线设计中的应用案例研究：UNNES 数字中心大楼

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1236

Hanan Iqbal Alrahma, Anan Nugroho, A. F. Hastawan, U. Arief

{"title":"Application of Q-learning Method for Disaster Evacuation Route Design Case Study: Digital Center Building UNNES","authors":"Hanan Iqbal Alrahma, Anan Nugroho, A. F. Hastawan, U. Arief","doi":"10.21609/jiki.v17i2.1236","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1236","url":null,"abstract":"The Digital Center (DC) building at UNNES is a new building on the campus that currently lacks evacuation routes. Therefore, it is necessary to create an evacuation route plan in accordance with the Minister of Health Regulation Number 48 of 2016. Creating a manual evacuation route plan can be inefficient and prone to errors, especially for large buildings with complex interiors. To address this issue, learning techniques such as reinforcement learning (RL) are being used. In this study, Q-learning will be utilized to find the shortest path to the exit doors from 11 rooms on the first floor of the DC building. The study makes use of the floor plan data of the DC building, information about the location of the exit doors, and the distance required to reach them. The results of the study demonstrate that Qlearning successfully identifies the shortest evacuation routes for the first-floor DC building. The routes generated by Q-learning are identical to the manually created shortest paths. Even when additional obstacles are introduced into the environment, Q-learning is still able to find the shortest routes. On average, the number of episodes required for convergence in both environments is less than 1000 episodes, and the average computation time needed for both environments is 0.54 seconds and 0.76 seconds, respectively.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"17 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification of Coffee Fruit Maturity Level based on Multispectral Image Using Naïve Bayes Method 使用 Naïve Bayes 方法基于多光谱图像对咖啡果实成熟度进行分类

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1181

I’zaz Dhiya ‘Ulhaq, Muhamad Arief Hidayat, Tio Dharmawan

{"title":"Classification of Coffee Fruit Maturity Level based on Multispectral Image Using Naïve Bayes Method","authors":"I’zaz Dhiya ‘Ulhaq, Muhamad Arief Hidayat, Tio Dharmawan","doi":"10.21609/jiki.v17i2.1181","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1181","url":null,"abstract":"The current research about the classification of coffee fruit ripeness based on multispectral images has been developed using the Convolutional Neural Network (CNN) method to extract patterns from highdimensional multispectral images. The high complexity of CNN allows the model to capture complex features but requires more time and computational resources for model training and testing. Therefore, in this study, classification is performed using a more straightforward method such as Naïve Bayes because its complexity only depends on the number of features and samples. The method only considers each feature independently, so it has high speed and does not require a lot of computational resources. Naïve Bayes is applied to color and texture features extracted from multispectral images of coffee fruit. There are 300 features consisting of 60 color features and 240 texture features. Experiments were conducted based on the comparison of training and testing data and the use of each feature. The combination of color and texture features showed better performance than color or texture features alone, with the highest accuracy reaching 91.01%. In conclusion, using Naïve Bayes is still reasonably good in classifying the ripeness of coffee fruit based on multispectral images.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"41 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141270112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet 使用预训练模型 VGG16、InceptionV3 和 ResNet 对丁香叶疱萎缩病严重程度进行分类

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1237

P. A. Pramesti, Muhamad Supriyadi, Muhammad Reza Alfin, Rita Noveriza, D. Wahyuno, D. Manohara, Melati, Miftakhurohmah, Riki Warman, S. Hardiyanti, Asnawi

引用次数: 0

Temporal Action Segmentation in Sign Language System for Bahasa Indonesia (SIBI) Videos Using Optical Flow-Based Approach 使用基于光流的方法在印尼语手语系统（SIBI）视频中进行时态动作分割

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1284

I. Dewa, Made Bayu, Atmaja Darmawan, Linawati, Gede Sukadarmika, Ni Made Ary, E. D. Wirastuti, Reza Pulungan

{"title":"Temporal Action Segmentation in Sign Language System for Bahasa Indonesia (SIBI) Videos Using Optical Flow-Based Approach","authors":"I. Dewa, Made Bayu, Atmaja Darmawan, Linawati, Gede Sukadarmika, Ni Made Ary, E. D. Wirastuti, Reza Pulungan","doi":"10.21609/jiki.v17i2.1284","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1284","url":null,"abstract":"Sign language (SL) is vital in fostering communication for the deaf and hard-of-hearing communities. Continuous Sign Language Translation (CSLT) is a work that translates sign language into spoken language. CSLT translation is done by changing continuous forms into isolated signs. Segmenting morpheme signs from phrase signs has several challenges, such as the availability of annotated datasets and the complexity of continuous gesture movements. The Indonesian Sign Language (SIBI) system follows Indonesian grammatical norms, including word formation, in contrast to other sign languages with rules derived from their spoken language. In SIBI, a word can consist of a root word and an affix word. Therefore, temporal action segmentation in SIBI is important to reconstruct the results of translating each sign into spoken Indonesian sentences. This research uses an optical flow approach to segment temporal actions in SIBI videos. Optical flow methods that calculate changes in intensity between adjacent frames can be used to determine the occurrence of sign movement or vice versa to determine the delay between sign movements. The absence of intensity differences between the two frames indicates the boundary between sign gestures. This study tested the use of dense optical flow on videos containing SIBI sentences taken from 3 signers. Evaluation is done on several parameters in the dense optical flow algorithm, such as threshold size, PyrScale, and WinSize, to obtain the best accuracy. This paper shows that the optical flow algorithm successfully performs segmentation, as measured by Perf and F1r. The experimental results showed that the highest Perf and F1r yields were 0.8298 and 0.8524, respectively.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"3 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting Type and Index Mutation in Cancer DNA Sequence Based on Needleman–Wunsch Algorithm 基于 Needleman-Wunsch 算法检测癌症 DNA 序列中的类型和指数突变

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-03 DOI: 10.21609/jiki.v17i2.1273

U. N. Wisesty, T R Mengko, Ayu Purwarianti, Adi Pancoro

引用次数: 0

Improving IT Assets Management with ITIL 4 Framework 利用 ITIL 4 框架改进 IT 资产管理

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-02 DOI: 10.21609/jiki.v17i2.1195

Andro Harjanto, R. F. Aji

{"title":"Improving IT Assets Management with ITIL 4 Framework","authors":"Andro Harjanto, R. F. Aji","doi":"10.21609/jiki.v17i2.1195","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1195","url":null,"abstract":"IT Asset Management (ITAM) is crucial for organizations as it enables efficient utilization of IT resources, cost reduction, and risk mitigation. Horangi, a startup company, recognizes the importance of asset optimization and aims to enhance its ITAM service. To achieve this, researcher conducts research to identify a suitable framework as a solid foundation. ITIL 4, a widely adopted IT service management framework, is chosen, along with the Continual Service Improvement and Service Value Chain models. These models provide guidelines and recommendations to identify weaknesses and improve current processes while enabling continuous improvement in response to the dynamic IT landscape. The research employs a qualitative approach, utilizing in-depth interviews, document research, and the ITIL 4 guidebook. The study aims to provide recommendations and a foundation for developing guidelines and workflows in ITAM within the company. However, a limitation of this research is not much research related to ITIL 4 in ITAM area and cannot proceed until the implementation of recommendations due to funding constraints and approval processes. To overcome this limitation, it is suggested that future research includes the implementation process to obtain more optimal evaluation results.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"43 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141273923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Code Generator Development to Transform IFML (Interaction Flow Modelling Language) into a React-based User Interface 开发代码生成器，将 IFML（交互流建模语言）转化为基于 React 的用户界面

Jurnal Ilmu Komputer dan Informasi Pub Date : 2024-06-02 DOI: 10.21609/jiki.v17i2.1178

Ilma Ainur Rohma, Ade Azurat

{"title":"Code Generator Development to Transform IFML (Interaction Flow Modelling Language) into a React-based User Interface","authors":"Ilma Ainur Rohma, Ade Azurat","doi":"10.21609/jiki.v17i2.1178","DOIUrl":"https://doi.org/10.21609/jiki.v17i2.1178","url":null,"abstract":"Model-Driven Software Engineering (MDSE) is a software development approach that uses the Model to be the main actor of the development. MDSE can be applied to User Interface (UI) Development so that a model for the UI can be built, and then a transformation can be made to turn it into a running application. In this research, we develop UI Generator to support UI Development with the MDSE approach. This UI Generator can also support UI Development in Software Product Line Engineering (SPLE) paradigm. The UI is modeled with Interaction Flow Modeling Language (IFML) diagram. Then The IFML diagram is transformed into React-Based UI by the UI Generator. The UI Generator is developed with Acceleo on Eclipse IDE to transform IFML into React Code with the transformation rules defined in this research. The UI generator is also enriched with display settings and static page management to address user customization needs. The experimental results show that the UI Generator can generate a functional website. Besides evaluating the working product, UI Generator is evaluated qualitatively well based on six quality criteria as an SPLE supporting tool.","PeriodicalId":31392,"journal":{"name":"Jurnal Ilmu Komputer dan Informasi","volume":"17 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141273502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0