Ilkom Jurnal Ilmiah最新文献_第6页

Semantic segmentation of pendet dance images using multires U-Net architecture 基于多帧U-Net结构的悬垂舞蹈图像语义分割

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1316.329-338

Hendri Ramdan, Moh. Arief Soeleman, Purwanto Purwanto, Bahtiar Imran, R. A. Pramunendar

{"title":"Semantic segmentation of pendet dance images using multires U-Net architecture","authors":"Hendri Ramdan, Moh. Arief Soeleman, Purwanto Purwanto, Bahtiar Imran, R. A. Pramunendar","doi":"10.33096/ilkom.v14i3.1316.329-338","DOIUrl":"https://doi.org/10.33096/ilkom.v14i3.1316.329-338","url":null,"abstract":"As a cultural heritage, traditional dance must be protected and preserved. Pendet dance is a traditional dance from Bali, Indonesia. Dance recognition raises a complex problem for computer vision research because the features representing the dancer must focus on the dancer's entire body. This can be done by performing a segmentation task process. One type of segmentation task in computer vision is the semantic segmentation. Mask R-CNN and U-NET were employed in this task. Since it was first introduced in 2015, semantic segmentation using the U-Net architecture has been widely adopted, developed, and modified. One of the new architectures applied is the MultiRes UNet. This study carries out a semantic segmentation task on the Balinese Pendet dance image using the MultiRes UNet architecture by changing the value of α (alpha) to obtain the best results. This architectural is evaluated by DC score, Jaccard index, and MSE. In this dataset, the alpha value of 1.9 resulted in the best score for DC and the Jaccard index with 98.47% and 99.23% respectively. On the other hand, an alpha value of 1.8 obtained the best score of MSE with 8.20E-04.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47956544","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

Sentiment analysis of Indonesian reviews using fine-tuning IndoBERT and R-CNN 使用微调IndoBERT和R-CNN对印尼评论的情绪分析

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1505.348-354

H. Jayadianti, Wilis Kaswidjanti, Agung Tri Utomo, S. Saifullah, F. Dwiyanto, Rafał Dreżewski

引用次数: 4

Multiplayer mechanism design for soil tillage serious game 多人机制设计的土壤耕作类严肃游戏

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1432.303-313

Anang Kukuh Adisusilo, E. Wahyuningtyas, N. Saurina, Radivoje Radi

{"title":"Multiplayer mechanism design for soil tillage serious game","authors":"Anang Kukuh Adisusilo, E. Wahyuningtyas, N. Saurina, Radivoje Radi","doi":"10.33096/ilkom.v14i3.1432.303-313","DOIUrl":"https://doi.org/10.33096/ilkom.v14i3.1432.303-313","url":null,"abstract":"The primary goal of Serious Games is not only for fun but also for lesson. In learning the first stage of soil tillage which using the mouldboard plow, a proper understanding is needed so that the soil tillage process will follow the needs of plant growth. The use of serious games as a study instrument for soil tillage is under the concept of digital game-based learning (DGBL). The problem of players when playing serious games is less motivated to play because the serious game system and scenario are less challenging. That challenges accelerate the shape of knowledge and experience when playing the games (user experience). By referring to the Learning Mechanics Gaming Mechanics (LM-GM) model, which is based on multiplayer in serious games, hopefully the learning process of land management using the mouldboard plow can be optimized. This process can increase learning motivation and elevate the user experience. This research results a design concept of a learning mechanism and a game mechanism for a serious multiplayer game of soil tillage with a mouldboard plow. There are three types of learning mechanisms in conceptual and concrete components, also six types of game mechanisms that can be used as a reference for the formation of multiplayer serious games and the increase player motivation.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45064066","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

Design of digital kWh-Meter to top-up the electric pulse by automatically using Relay Module Based on SMS and Arduino Uno 基于SMS和Arduino Uno的继电器模块实现电脉冲自动充值的数字电度表设计

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1221.229-236

Syarifah Fitrah Ramadhani, Pujianti Wahyuningsih, Abdul Jalil, Syarifah Suryana

{"title":"Design of digital kWh-Meter to top-up the electric pulse by automatically using Relay Module Based on SMS and Arduino Uno","authors":"Syarifah Fitrah Ramadhani, Pujianti Wahyuningsih, Abdul Jalil, Syarifah Suryana","doi":"10.33096/ilkom.v14i3.1221.229-236","DOIUrl":"https://doi.org/10.33096/ilkom.v14i3.1221.229-236","url":null,"abstract":"This study aims to design a digital kWh-meter prototype to top-up the electricity pulse by automatically using relay modules based on Short Message Service (SMS) and Arduino Uno. The utilization of 12 relay modules to substitute the keypad input function in the digital kWh meter is our basic idea in this study. The method we used to replace the keypad input function with the relay module is based on the integration between the circuit path in the keypad board and the relay module as an electric switch that can activate when the relay gets a trigger from the Arduino Uno. In this study, when the user wants to charge the electric pulse, the user will send the voucher number to the GSM SIM900A module via SMS, then it will be processed to the Arduino Uno. Then Arduino Uno will trigger the relay to be activated so that it can automatically fill the voucher number to the digital kWh-meter. This study result is the success of relay modules can substitute the function of keypad input to fill the voucher pulse number to the digital kWh-meter through SMS with the successful voucher number filling up to 98%. The usefulness of the relay module to change the keypad input function on the digital kWh meter is our original idea for this study.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45713558","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

Factor analysis satisfaction levels of users toward the JKN mobile application in the COVID-19 Era using the PIECES framework 使用PICES框架对新冠肺炎时代用户对JKN移动应用程序的满意度进行因子分析

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1280.245-254

Randa Gustiawan, Ulung Pribadi

引用次数: 0

Classification of Lombok Pearls using GLCM Feature Extraction and Artificial Neural Networks (ANN) 基于GLCM特征提取和人工神经网络(ANN)的龙目岛珍珠分类

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1317.209-217

Muh Nasirudin Karim, R. A. Pramunendar, M. Soeleman, Purwanto Purwanto, Bahtiar Imran

引用次数: 0

Classification of Dog and Cat Images using the CNN Method 利用CNN方法对猫狗图像进行分类

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1116.203-208

Teguh Adriyanto, Risky Aswi Ramadhani, R. Helilintar, Aidina Ristyawan

{"title":"Classification of Dog and Cat Images using the CNN Method","authors":"Teguh Adriyanto, Risky Aswi Ramadhani, R. Helilintar, Aidina Ristyawan","doi":"10.33096/ilkom.v14i3.1116.203-208","DOIUrl":"https://doi.org/10.33096/ilkom.v14i3.1116.203-208","url":null,"abstract":"Blind people can be defined as those people who are unable to see objects or pictures around them with their eyes. This inability becomes an issue for them when dealing with objects or images in front of them. These problems lead to the novelty of this study that is to recognize objects or images around blind people with the CNN algorithm. Dogs and cats were used as objects in this study. These object recognitions used Deep Learning, a relatively new science in the field of machine learning. Deep learning works like the human brain's ability to recognize an object. In this study, the objects that were used were pictures of a dog and a cat. This study used 3 types of data, namely training, validation, and testing data. The data training consisted of dog data with a total of 1000 images and cat data with a total of 1000 images. Data validation consisted of 500 dog data and 500 cat data. The CCN architecture employed 3 convolution layers. The layer was convolution 1 using 16 filters of kernel size 3x3, the second convolution using 32 filters of kernel size 3x3 and the third using 64 filters of kernel size 3x3. While the data testing consisted of 51dog data and 27 cat data. The method used to analyze the image was CNN. The input was an image with a size of 150x150 pixels with 3 channels, namely R, G, and B. This classification went through a performance test with the Confusion Matrix and it obtained 45% precision, 45% recall and 45% f1-score. From these results it can be concluded that the accuracy values should be improved.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44943009","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

Sentiment analysis of customer satisfaction levels on smartphone products using Ensemble Learning 使用Ensemble Learning对智能手机产品客户满意度的情感分析

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1377.339-347

Muhammad Ma’ruf, Adam Prayogo Kuncoro, Pungkas Subarkah, Faridatun Nida

{"title":"Sentiment analysis of customer satisfaction levels on smartphone products using Ensemble Learning","authors":"Muhammad Ma’ruf, Adam Prayogo Kuncoro, Pungkas Subarkah, Faridatun Nida","doi":"10.33096/ilkom.v14i3.1377.339-347","DOIUrl":"https://doi.org/10.33096/ilkom.v14i3.1377.339-347","url":null,"abstract":"Increasingly sophisticated technological developments create new ways for people to conduct trading business. An example of this technology application is the use of e-commerce. However, there are conditions where the seller cannot measure the level of satisfaction and identify problems experienced by his customers if it is only based on the rating as the case in smartphones transactions. Therefore, a solution is needed to create a system that can filter negative and positive comments. This study offers a solution to address this issue by using machine learning employing the K-Nearest Neighbors, SVM, and Naive Bayes algorithms with hyperparameters from previous studies. This study applied the ensemble learning method with the Voting Classifier technique, which is an algorithm to combine several algorithms that have been made. From the test results, the highest accuracy was obtained by SVM with an accuracy value of 91.18% while the ensemble learning method obtained an accuracy value of 89.22%. The difference in the accuracy of training and testing for SVM and ensemble learning method is 7.1% and 4% respectively. These results indicate that the ensemble learning method can help improve the performance of sentiment analysis algorithms for comments on smartphone products.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42395892","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: 3

Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status 模糊冢本隶属函数在水稻田可行性判断中的比较分析

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1156.255-263

Ummi Syafiqoh, A. Yudhana, S. Sunardi

{"title":"Comparative analysis of Fuzzy Tsukamoto's membership functions for determining irrigated rice field feasibility status","authors":"Ummi Syafiqoh, A. Yudhana, S. Sunardi","doi":"10.33096/ilkom.v14i3.1156.255-263","DOIUrl":"https://doi.org/10.33096/ilkom.v14i3.1156.255-263","url":null,"abstract":"The representation of the fuzzy set membership curve consisting of trapezoidal, triangular, and linear shapes, has an important role in the fuzzy logic system. The selection of the curve's shapes determines the useable membership function and affects the fuzzy output value. Previous studies generally used curves that had been employed in predecessors or other studies that did not explain the reason for choosing a fuzzy member curve. This condition became problem because there was not a guide in selecting the appropriate membership function model for the parameters used in the fuzzy process so that most researchers only use membership functions that are commonly used in previous studies or in the same case as their research. The purpose of this study was to determine the effect of selecting trapezoidal and triangular curves on the performance of Tsukamoto's fuzzy logic for determining the rice-fields suitability status. The research methodology comprised 3 main stages. The first stage was data collecting, to collect soil pH values, soil moisture, and air temperature in rice fields. The second stage was the implementation of the Tsukamoto fuzzy. At this stage, two membership function curves were used. The third stage was a comparative analysis of Tsukamoto's fuzzy's output of trapezoidal and triangular curves. The results obtained indicate that there is no significant performance difference between the two different membership functions. The results of the research with the trapezoidal membership function have a better accuracy rate of 93% while the triangular membership function has an accuracy rate of 90%.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43698066","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

Predicting the success of the government’s program of lomaya (Regional PKH) in reducing poverty 预测政府的lomaya(区域PKH)计划在减少贫困方面的成功

Ilkom Jurnal Ilmiah Pub Date : 2022-12-19 DOI: 10.33096/ilkom.v14i3.1149.323-328

Ruhmi Sulaehani, M. H. Botutihe

引用次数: 0