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SESS: Utilization of SPIN for Ethnomedicine Semantic Search 自旋在民族医药语义搜索中的应用
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575912
Dewi Wardani, Mauluah Susmawati
{"title":"SESS: Utilization of SPIN for Ethnomedicine Semantic Search","authors":"Dewi Wardani, Mauluah Susmawati","doi":"10.1145/3575882.3575912","DOIUrl":"https://doi.org/10.1145/3575882.3575912","url":null,"abstract":"Indonesia has biodiversity which is very beneficial for human life. Existing applications for ethnomedicine have been developed using conventional methods that only utilized SPARQL Protocol and RDF Query Language (SPARQL), so they still have limitations in representing knowledge and its retrieval. Those conventional methods are which based of relational database and ontology that has not utilized inference in its query process. Therefore, this work proposed SPIN for Enthnomedicine Semantic Search (SESS), a framework of the semantic search for medicinal plants that were developed by using SPIN (SPARQL Inferencing Notation). SESS has two main parts, the ontology design included SPARQL Inferencing Notation (SPIN) library and query process. The experiments were assessed in terms of execution time, query variation and accuracy. The obtained results showed a ratio of precision at 1, recall at 0.98 and the average value of the f-measure was 0.99. Utilizing SPIN also decrease the time consuming to obtain the result by around .","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128200379","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
Evaluation of Machine Learning Models for Detecting Disambiguation on Medical Abbreviations 医学缩略语消歧检测的机器学习模型评价
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575907
R. S. Yuwana, Ruth Andini, H. Pardede, W. Sulandari, Endang Suryawati, Candra Ihsan, A. A. Supianto
{"title":"Evaluation of Machine Learning Models for Detecting Disambiguation on Medical Abbreviations","authors":"R. S. Yuwana, Ruth Andini, H. Pardede, W. Sulandari, Endang Suryawati, Candra Ihsan, A. A. Supianto","doi":"10.1145/3575882.3575907","DOIUrl":"https://doi.org/10.1145/3575882.3575907","url":null,"abstract":"The number of medical abbreviations in the world is due to the increasing number of diseases, technological advances in the medical field, research in the medical field, and the emergence of various drugs. A large number of medical abbreviations often have the same abbreviation but it has a different meaning. The similarity of these medical abbreviations often results in ambiguous abbreviations. The ambiguity of this abbreviation can be reduced by creating a system based on Artificial Intelligent (AI). In this paper, we have compared various models using Naive Bayes, LSTM, Logistic Regression, and SVM to get the best model for medical abbreviations disambiguation. The experimental results indicate that the highest model accuracy is obtained by LSTM model, which is at 97.21%.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131518033","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
Housing Price Prediction Using a Hybrid Genetic Algorithm with Extreme Gradient Boosting 基于极端梯度增强的混合遗传算法的房价预测
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575939
M. U. Siregar, Pahlevi Wahyu Hardjita, Farhan Armawan Asdin, Dewi Wardani, A. Wijayanto, Yessi Yunitasari, Muhammad Anshari
{"title":"Housing Price Prediction Using a Hybrid Genetic Algorithm with Extreme Gradient Boosting","authors":"M. U. Siregar, Pahlevi Wahyu Hardjita, Farhan Armawan Asdin, Dewi Wardani, A. Wijayanto, Yessi Yunitasari, Muhammad Anshari","doi":"10.1145/3575882.3575939","DOIUrl":"https://doi.org/10.1145/3575882.3575939","url":null,"abstract":"Predicting property prices provides a better service for customers to evaluate and estimate price movement before their purchases. Some features including OverallQual and GrLivArea, which were selected when applying GA, become important features that can influence property prices. This research proposes a hybrid Genetic algorithm combined with the Extreme Gradient Boosting algorithm to predict real estate housing prices. The proposed scheme is evaluated by Root Mean Square Error, processing time, and the number of deleted features. The proposed scheme has been compared with the sole Extreme Gradient Boosting. The experimental results show that the proposed scheme produces the smallest root mean square error value of 0.129 compared to 0.133 of the sole Extreme Gradient Boosting. Furthermore, the predicted time of the proposed scheme is much better than the sole method.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125667562","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
Automatic Data Acquisition of Electric Power Usage in Phnom Penh City 金边市电力使用的自动数据采集
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575886
Seven Siren, Rothna Pec, Vannak Ros, Kum Sithirith, S. Un, Sros Nhek
{"title":"Automatic Data Acquisition of Electric Power Usage in Phnom Penh City","authors":"Seven Siren, Rothna Pec, Vannak Ros, Kum Sithirith, S. Un, Sros Nhek","doi":"10.1145/3575882.3575886","DOIUrl":"https://doi.org/10.1145/3575882.3575886","url":null,"abstract":"Data acquisition of electricity power is one of the cases for EDC (Electricity of Cambodia). Every month EDC must send staff to have a look at every electric meter. Automatic Data Acquisition of Electric Power Usage (ADAEPU) replaces the traditional energy meter with a digital energy meter which provides the EDC to know the usage of energy and collect those data correctly. All the data will transfer from the system to EDC wirelessly. Developing countries do not have the last mobile generation all over the place. Therefore, Global system for mobile communications (GSM) takes part here as a transmission medium. The result shown that the system could monitor the power used of each house perfectly. This saves a lot of time and money and keeps them away from electric shock.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131667590","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
Active-to-Passive Arabic Word Conversion and MSD Identification using RNN 基于RNN的阿拉伯语主动到被动词转换和MSD识别
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575901
Khalisyahdini Khalisyahdini, M. Bijaksana, K. Lhaksmana
{"title":"Active-to-Passive Arabic Word Conversion and MSD Identification using RNN","authors":"Khalisyahdini Khalisyahdini, M. Bijaksana, K. Lhaksmana","doi":"10.1145/3575882.3575901","DOIUrl":"https://doi.org/10.1145/3575882.3575901","url":null,"abstract":"Identifiying part of speech of word is critical for Arabic language morphology aspects. Existing approaches either 1) predict morphological description from active voice Arabic words with neural based; or 2) predict morphological description from active and passive voice Arabic words with rule based. Both kinds of approaches have shortcomings. Therefore, we propose on adding some other Arabic type of word, which is passive voice word. Specifically, we convert the active voice to passive voice Arabic with computation and morphological description identification from that result. Experiments show that our system sucessfully to change active to passive voice automatically and achieves good performance on morphological description identification using neural based method.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004887","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
SSTI: Semantic Similarity to detect Novelty of Thesis Ideas 语义相似度检测论文思想的新颖性
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575955
D. Wardani, Chairul Achmad
{"title":"SSTI: Semantic Similarity to detect Novelty of Thesis Ideas","authors":"D. Wardani, Chairul Achmad","doi":"10.1145/3575882.3575955","DOIUrl":"https://doi.org/10.1145/3575882.3575955","url":null,"abstract":"The act of plagiarism in a thesis can decrease the quality of a student’s thesis. The plagiarism is perhaps unintentional. One form of this plagiarism in the thesis is the similarity of ideas in terms of topics, methods and cases used. Detecting the similarity of ideas has its difficulties because it must be able to understand the context of a document. This research implements a similar idea detection framework with a semantic similarity approach. Calculating the similarity value between the thesis proposal and the crawled data is carried out by considering the cluster distance and the hierarchical structure in the knowledge base. Comparative data were obtained from open portal publications. The evaluation results return accuracy is over 100 data testing.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133060645","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
Realtime Video Latency Reduction for Autonomous Vehicle Teleoperation Using RTMP Over UDP Protocols 基于UDP协议的RTMP自动驾驶汽车远程操作实时视频延迟减少
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575891
A. Heryana, Dikdik Krisnandi, H. Pardede, Galih Nugraha Nurkahfi, M. Dinata, A. Rozie, Rendra Firmansyah
{"title":"Realtime Video Latency Reduction for Autonomous Vehicle Teleoperation Using RTMP Over UDP Protocols","authors":"A. Heryana, Dikdik Krisnandi, H. Pardede, Galih Nugraha Nurkahfi, M. Dinata, A. Rozie, Rendra Firmansyah","doi":"10.1145/3575882.3575891","DOIUrl":"https://doi.org/10.1145/3575882.3575891","url":null,"abstract":"Real-time video streaming with low latency is essential for autonomous vehicles’ teleoperation. Studies show that the latency for self-driving teleoperation should not exceed 50 milliseconds. Latency could be caused by hardware, software, or network factors. Here, we focus on latency reduction due to network factors. We applied two data protocols: user datagram protocols (UDP) and real-time messaging protocol (RTMP), and afterward tuned the encoder along with data compression. The glass-to-glass method was applied to measure the network performance and video latency. The measurement of video latency achieves 300 milliseconds, which implements a direct connection (without a broadcaster) with the UDP data protocol. While this may still exceed the requirements, the study could be seen as a preliminary effort to deal with data latency for teleoperation driving.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132056978","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
Anomaly Detection of Hallux Valgus using Plantar Pressure Data 利用足底压力数据检测拇外翻异常
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575952
Latif Rozaqi, Yukhi Mustaqim Kusuma Sya'Bana, Asep Nugroho, Nugrahaning Sani Dewi, Kadek Heri Sanjaya
{"title":"Anomaly Detection of Hallux Valgus using Plantar Pressure Data","authors":"Latif Rozaqi, Yukhi Mustaqim Kusuma Sya'Bana, Asep Nugroho, Nugrahaning Sani Dewi, Kadek Heri Sanjaya","doi":"10.1145/3575882.3575952","DOIUrl":"https://doi.org/10.1145/3575882.3575952","url":null,"abstract":"Machine learning is a superior tool that is unbiased and moderately comparable to the medical expert in making medical diagnostics if trained with correct supervision. In this paper we developed a supervised learning algorithm employing plantar pressure data to detect the anomaly called hallux valgus (HV) on a number of subject. Support vector machine (SVM) and its variants such as kernel SVM and ensemble SVM were evaluated on a plantar pressure open dataset. Results show that SVMs in general have the average classification rate of above 90 percent.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116536502","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
Virtual Screening of HMG-CoA reductase inhibitors of West Bali National Park natural compounds database using machine learning 利用机器学习虚拟筛选西巴厘国家公园天然化合物数据库中HMG-CoA还原酶抑制剂
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575915
Elpri Eka Permadi, S. Kusumaningrum, Donny Ramadhan, Sjaikhurrizal El Muttaqien, A. Supriyono
{"title":"Virtual Screening of HMG-CoA reductase inhibitors of West Bali National Park natural compounds database using machine learning","authors":"Elpri Eka Permadi, S. Kusumaningrum, Donny Ramadhan, Sjaikhurrizal El Muttaqien, A. Supriyono","doi":"10.1145/3575882.3575915","DOIUrl":"https://doi.org/10.1145/3575882.3575915","url":null,"abstract":"Atherosclerosis is one of the causes of cardiovascular disease (CVD). The high level of cholesterol which is controlled by 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase plays an essential role in the pathogenesis of atherosclerosis. By inhibiting the activity of HMG-CoA reductase, the biosynthesis of cholesterol may be limited and therefore contribute to the reduction of blood cholesterol. This research aims to identify the hit compounds of HMG-CoA reductase inhibitors from the natural compounds database of West Bali National Park from the Internal PRBBOT BRIN database (Indonesia's natural compounds data base). We conducted a virtual screening workflow using a quantitative structure-activity relationship (QSAR) strategy based on artificial intelligence approach to allow faster screening of HMG-CoA reductase inhibitor from 2608 compounds. Eight classifications and five regressions in machine learning algorithms were applied to build a virtual screening workflow using the 1173 compounds dataset from the ChEMBL database. The classification QSAR model used the Random Forest and Fuzzy Rule algorithm with a tied score of accuracy were 0.972 and the regression QSAR model used the Tree Ensemble algorithm with the R2 pred = 0.88. Virtual screening results identified three hit compounds as HMG-CoA reductase inhibitors from Calophyllum inophyllum L., including Inocalophyllin B, Brasiliensic acid, and Inophylloidic acid. These results indicated the benefit of the machine learning approaches for potential screening compounds as an inhibitor for the HMG-CoA reductase enzyme, and it may be useful to screen various drug candidates for other target diseases.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125187263","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
Geographic Information System Continuance Adoption and Use to Determine Bidikmisi Scholarship Recipients Distribution 地理信息系统的持续采用和使用以确定Bidikmisi奖学金获得者的分布
Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications Pub Date : 2022-11-22 DOI: 10.1145/3575882.3575953
N. Nurdin, Muhammad Agam, Adawiyah Adawiyah
{"title":"Geographic Information System Continuance Adoption and Use to Determine Bidikmisi Scholarship Recipients Distribution","authors":"N. Nurdin, Muhammad Agam, Adawiyah Adawiyah","doi":"10.1145/3575882.3575953","DOIUrl":"https://doi.org/10.1145/3575882.3575953","url":null,"abstract":"The objective of this study is to find out the continuance adoption and use of a Geographic Information System (GIS) for scholarship recipient distribution in Central Sulawesi. For the data gathering instrument, we employed an online structured questionnaire. One hundred fifty scholarship administrators were selected from fifteen state and private higher education institutions in Palu Central Sulawesi. They were assigned a five-scale survey. All completed questionnaires were analyzed using AMOS. The findings show that the factors of perceived usefulness, perceived ease of use, information quality, system quality, and change management have significantly influenced the continuance adoption and use of the geographic information system by university scholarship administrators. The results highlighted that when a system was developed based on those criteria, the sustainable adoption and use of the geographic information system can be consistently maintained to improve universities' scholarship management and distribution. Our study contributes to the body of knowledge in geographic information system continuance adoption and use within education institutions and to practices that support universities for better scholarship management and distribution.","PeriodicalId":367340,"journal":{"name":"Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129075547","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: 9
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