Journal of Applied Computer Science and Technology最新文献

筛选
英文 中文
Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C 基于机器学习概念的疾病诊断路径确定:丙型肝炎案例研究
Journal of Applied Computer Science and Technology Pub Date : 2023-11-18 DOI: 10.52158/jacost.v4i2.556
Jimmy Tjen, V. Pratama
{"title":"Penentuan Jalur Diagnostik Penyakit Berbasis Konsep Pembelajaran Mesin: Studi kasus Penyakit Hepatitis C","authors":"Jimmy Tjen, V. Pratama","doi":"10.52158/jacost.v4i2.556","DOIUrl":"https://doi.org/10.52158/jacost.v4i2.556","url":null,"abstract":"Hepatitis is considered to be one of the most dangerous diseases, which often leads to death if not handled properly. Thus, early detection via precise diagnosis is needed in order to prevent the unfortunate event. This research aims to provide a novel hepatitis C diagnosis based on the machine learning algorithm, which is the classification tree from the decision tree learning and the distance correlation, which measures the Euclidean distance between 2 vectors. In particular, the goal is to develop a low computational cost yet precise algorithm for diagnosing the possibility of whether a person is being infected with Hepatitis C or not. Based on the experiment, the distance correlation-based classification tree algorithm outperforms the classical classification tree algorithm by around 3% while using only 7 features instead of 12 as in the classical algorithm. Furthermore, the algorithm identified albumin (ALB),  Creatinine (CREA), Bilirubin (BIL), Aspartate Transaminase (AST) and Cholesterol (CHOL) as significant risk factors in determining whether someone is potentially infected with hepatitis C or not, with Creatinine is identified as the most important parameter among all 5 parameters mentioned above.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261771","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
Rancang Bangun Sistem Informasi Audit Mutu Internal 内部质量审计信息系统设计
Journal of Applied Computer Science and Technology Pub Date : 2023-11-18 DOI: 10.52158/jacost.v4i2.539
Norfifah, V. Julianto, Yunita Prastyaningsih
{"title":"Rancang Bangun Sistem Informasi Audit Mutu Internal","authors":"Norfifah, V. Julianto, Yunita Prastyaningsih","doi":"10.52158/jacost.v4i2.539","DOIUrl":"https://doi.org/10.52158/jacost.v4i2.539","url":null,"abstract":"Internal quality audits are conducted within the internal quality assurance system (SPMI) of higher education institutions to ensure compliance with SPMI standards and enhance a quality culture. Constraints in implementing internal quality audits include limitations in human resources, time, and costs, as well as the complexity of audit stages and documentation of audit findings. To address these challenges, a website-based information system has been designed using the waterfall method and the Unified Modeling Language (UML) approach, utilizing the PHP framework CodeIgniter and a MySQL database. The system aims to digitize and automate the implementation of internal quality audits to enhance effectiveness and efficiency. Additionally, it facilitates the management and storage of internal quality audit documents. For testing purposes, black-box testing is employed, consisting of 10 different test types. The testing results indicate a 90% success rate, while 10% of the data did not succeed due to the limitation of inputting text HTML.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262320","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
SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology SLR 系统性文献综述:使用人类绩效技术的员工绩效评估方法
Journal of Applied Computer Science and Technology Pub Date : 2023-11-18 DOI: 10.52158/jacost.v4i2.511
Roni Habibi, Artha Glory Romey Manurung
{"title":"SLR Systematic Literature Review: Metode Penilaian Kinerja Karyawan Menggunakan Human Performance Technology","authors":"Roni Habibi, Artha Glory Romey Manurung","doi":"10.52158/jacost.v4i2.511","DOIUrl":"https://doi.org/10.52158/jacost.v4i2.511","url":null,"abstract":"Performance appraisal is an activity conducted by groups or individuals in a company with the aim of evaluating employee performance based on specific indicators. The purpose of this evaluation is to determine the level of employee performance, provide fair job opportunities, and enhance employee motivation and performance. The objective of this research is to review the literature that employs the Systematic Literature Review (SLR) method, while considering several aspects such as previous research on employee performance appraisal and human performance technology. Initially, the search was limited to 450 journals. Then, a review and further screening were conducted, resulting in 161 remaining journals using inclusion and exclusion criteria, yielding 17 journals that met the requirements. This research was conducted over several years to assess employee performance. Therefore, this systematic literature review is carried out to identify the methods used for employee performance appraisal and mentions that optimization algorithms and fuzzy comprehensive methods are used as evaluation methods to assess performance appraisal methods.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"120 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262059","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
Optimasi Algoritma Support Vector Machine Berbasis PSO Dan Seleksi Fitur Information Gain Pada Analisis Sentimen
Journal of Applied Computer Science and Technology Pub Date : 2023-07-01 DOI: 10.52158/jacost.v4i1.524
Sharazita Dyah, Ferian Fauzi Abdulloh, Sharazita Dyah Anggita, Feri Fauzi, Abdulloh
{"title":"Optimasi Algoritma Support Vector Machine Berbasis PSO Dan Seleksi Fitur Information Gain Pada Analisis Sentimen","authors":"Sharazita Dyah, Ferian Fauzi Abdulloh, Sharazita Dyah Anggita, Feri Fauzi, Abdulloh","doi":"10.52158/jacost.v4i1.524","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.524","url":null,"abstract":"Sentiment analysis is a method for processing consumer reviews. This study examines the application of the Support Vector Machine (SVM) algorithm based on PSO and Information Gain as feature selection to filter attributes as a form of optimization. Algorithm implementation in sentiment analysis is carried out by applying a test scenario to measure the level of accuracy of the several parameters used. Selection of the Information Gain feature using the top-k parameter yields an accuracy value of 85.3%. Algortima optimization applying information gain feature selection on the PSO-based SVM resulted in an optimal accuracy rate of 86.81%. The resulting increase in accuracy is 18.84% compared to the application of classic SVM without PSO-based information gain feature selection. Applying information gain feature selection on the PSO-based SVM algorithm can increase the accuracy value in the online sentiment review analysis.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133664691","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
Analisis Perbandingan Metode Regresi Linier, Random Forest Regression dan Gradient Boosted Trees Regression Method untuk Prediksi Harga Rumah
Journal of Applied Computer Science and Technology Pub Date : 2023-07-01 DOI: 10.52158/jacost.v4i1.491
E. Fitri
{"title":"Analisis Perbandingan Metode Regresi Linier, Random Forest Regression dan Gradient Boosted Trees Regression Method untuk Prediksi Harga Rumah","authors":"E. Fitri","doi":"10.52158/jacost.v4i1.491","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.491","url":null,"abstract":"The need for a place to live is one that many people prepare, both millennials and adults and the elderly. With the continued increase in population growth in Indonesia and increasing public interest in buying a place to live early on, this can make not all groups of people have a place to live or a house that is quite livable. Related to this, the public needs up-to-date information related to predictions of house prices both for housing and second-hand housing prices for planning purposes in the future. The purpose of this study is to carry out a comparative analysis of the prediction results of house prices with several Machine Learning algorithms consist of Linear Regression, Random Forest Regression and Gradient Boosted Trees Regression. Evaluation for all the method applying Cross-Validation. The evaluation is seen from the smallest Root Mean Square Error (RMSE) error rate of each testing method. The results of this study are the Random Forest Regression obtained an RMSE value of 0.440, the Linear Regression model obtained an RMSE value of 0.515 and the RMSE value of Gradient Boosted Trees Regression of 0.508. The results were obtained from testing a dataset of 2011 records with a division of 80% for data training and 20% for data testing, the data has 6 attributes used in testing including house prices, land area, building area, number of bathrooms, number of bedrooms and the number of garages. In this study, prediction results using the Random Forest Regression method yielded the highest accuracy of 81.5% compared to the Linear Regression and Gradient Boosted Trees Regression methods.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122788699","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
Systematic Literature Review: Analisa Sentimen Masyarakat terhadap Penerapan Peraturan ETLE
Journal of Applied Computer Science and Technology Pub Date : 2023-07-01 DOI: 10.52158/jacost.v4i1.493
Syafrial Fachri Pane, Muhammad Syiarul Amrullah
{"title":"Systematic Literature Review: Analisa Sentimen Masyarakat terhadap Penerapan Peraturan ETLE","authors":"Syafrial Fachri Pane, Muhammad Syiarul Amrullah","doi":"10.52158/jacost.v4i1.493","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.493","url":null,"abstract":"This study examines the efforts to develop a model for analyzing public sentiment regarding applying ETLE (Electronic Traffic Law Enforcement) regulations. The method used is the systematic literature review. A systematic literature review (SLR) consists of three stages: planning, conducting, and reporting. The planning stage is the determination of the SLR procedure. This stage includes preparing topics, research questions, article search criteria & inclusion and exclusion criteria. The conducting stage, namely the implementation, includes searching for articles and filtering articles. The reporting stage is the final stage of SLR. This stage includes writing the SLR results according to the article format. The explanation follows: First, hybrid is the most widely used method in developing sentiment analysis models. Apart from hybrid, several methods are used to develop sentiment analysis models, including multi-task, deep, and machine learning. Each has its advantages and disadvantages in the development of sentiment analysis models. Second, this study shows the development of a model with superior performance, namely using XGBoost as a sentiment analysis model, and the stages it goes through are preprocessing data, handling imbalanced data, and optimizing the model. Therefore, the model for analyzing public sentiment regarding the application of ETLE regulations can be an option for hybrid methods, multi-task learning, deep learning, machine learning, and the XGBoost model to obtain superior performance with preprocessing data stages, handling imbalanced data and optimization models.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127237060","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
Evaluasi Kapabilitas Sistem Informasi Pasien ICU dan HCU Menggunakan COBIT 5 dengan Domain BAI 重症监护室和HCU的信息系统功能评估使用了BAI域的COBIT 5
Journal of Applied Computer Science and Technology Pub Date : 2023-06-30 DOI: 10.52158/jacost.v4i1.451
Erick Fernando, Jullend Gatc, Yuhefizar Yuhefizar
{"title":"Evaluasi Kapabilitas Sistem Informasi Pasien ICU dan HCU Menggunakan COBIT 5 dengan Domain BAI","authors":"Erick Fernando, Jullend Gatc, Yuhefizar Yuhefizar","doi":"10.52158/jacost.v4i1.451","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.451","url":null,"abstract":"The hospital's Intensive Care Unit (ICU) and High Care Unit (HCU) systems are very important systems and are always used, so it is necessary to know the extent of their performance. Thus, the study aims to provide reference for xyz hospital regarding the condition (performance) of the current ICU and HCU patient systems. COBIT 5 is an information system capability evaluation framework with the build, acquire and implement (BAI) domain. Domain BAI focuses on developing, acquiring, and implementing information systems, applications, and services. It covers the entire IT project life cycle, starting with the planning and requirements gathering phases and continuing through the design, development, testing, and deployment phases. This study also uses qualitative approach with literature studies and quantitative approach for data analysis to measure capability level. Research respondents were heads and staff from the IT, ICU, and HCU divisions. The results of this study describe the level of capability achieved by hospitals in the BAI Domain, with an average score of 3.30 at the established level. This level illustrates that the application of information technology can achieve process results that are in accordance with the wishes of raft xyz management. This stage also illustrates that the xyz hospital has an information technology process that has been standardized thoroughly to achieve all processes. The results of this evaluation can also be guideline for the xyz raft house to make improvements and improve the performance of the ICU and HCU patient systems in meeting the needs of intensively treated patients.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125421950","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: 1
Optimalisasi UMKM di Kepulauan Mentawai Melalui Marketplace dan Digitalisasi Logistik 通过市场营销和数字化物流,岛上的UMKM优化
Journal of Applied Computer Science and Technology Pub Date : 2023-06-30 DOI: 10.52158/jacost.v4i1.467
Dwi Welly, Sukma Nirad, Rika Ampuh Hadiguna, A. S. Indrapriyatna, Ricky Akbar, Hafizah Hanim, Andrew Kurniawan Vadreas, W. Ricky, Hafizah Akbar, Andrew Hanim, Kurniawan Vadreas
{"title":"Optimalisasi UMKM di Kepulauan Mentawai Melalui Marketplace dan Digitalisasi Logistik","authors":"Dwi Welly, Sukma Nirad, Rika Ampuh Hadiguna, A. S. Indrapriyatna, Ricky Akbar, Hafizah Hanim, Andrew Kurniawan Vadreas, W. Ricky, Hafizah Akbar, Andrew Hanim, Kurniawan Vadreas","doi":"10.52158/jacost.v4i1.467","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.467","url":null,"abstract":"Economic growth in West Sumatra's Mentawai Islands is relatively undeveloped due to geographical conditions and human resource capacity. The status as a 3T region (Disadvantaged, Frontier, Outermost) inhibits Micro, Small, and Medium Enterprises (MSMEs) growth. Despite MSMEs being economic pillars that stimulate regional development, their progress remains slow. To counter this, our study proposes \"Bulagat\", an integrated marketplace with digital logistics aimed at enhancing economic and MSMEs growth in the Mentawai Islands. Bulagat will streamline MSME product distribution, broaden market reach, and boost income. Constructed using the Waterfall Model, Bulagat facilitates transactions between MSMEs and customers on an easy-to-use platform. The integration of logistics digitization aims to improve delivery safety and efficiency, thereby expanding MSMEs product reach in the Mentawai Islands. A tracking feature ensures successful delivery. The study suggests Bulagat has the potential to be an efficient tech solution supporting MSMEs product sales in Mentawai, overcoming geographical barriers, and strengthening the local economy and community welfare. This application aims to mitigate MSMEs challenges, drive economic growth, and enhance local community welfare.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226028","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
Audit Keamanan Sistem Informasi Manajemen Rumah Sakit Dengan Framework COBIT 2019 Pada RSUD Palembang BARI 医院管理信息系统安全审核,并在RSUD Palembang BARI进行了2019框架框架检查
Journal of Applied Computer Science and Technology Pub Date : 2023-06-30 DOI: 10.52158/jacost.v4i1.505
Palembang Bari, M. A. Algiffary, M. Herdiansyah, Yesi Novaria Kunang
{"title":"Audit Keamanan Sistem Informasi Manajemen Rumah Sakit Dengan Framework COBIT 2019 Pada RSUD Palembang BARI","authors":"Palembang Bari, M. A. Algiffary, M. Herdiansyah, Yesi Novaria Kunang","doi":"10.52158/jacost.v4i1.505","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.505","url":null,"abstract":"This study examines the implementation of information system at RSUD Palembang BARI with the aim of enhancing information system security. In this context, a security audit is conducted using the COBIT 2019 framework. The COBIT 2019 domains and processes utilizing include EDM03, APO12, APO13, APO14, and DSS05. The research involves the identification and evaluation of information security risks, determination of necessary security controls, and ensuring compliance with the information security standards established by COBIT 2019. The findings indicate that the level of information system security at RSUD Palembang BARI is at level 3 (Defined), with a gap analysis difference of 1 level below the expected target. Based on the above results, efforts to improve and enhance the information system security at RSUD Palembang BARI are still needed. The use of information system security techniques such as vulnerability scanning, penetration testing, WAF, IDS and IPS, and data encryption, as well as improving security in terms of server physical aspects such as installing CCTV and restricting user access with access cards or fingerprints, can be implemented to ensure compliance with relevant information security standards. Consideration for obtaining security certifications, like ISO 27001, should also be taken. Additionally, the quality of human resources in terms of policy-making and the ability of employees to address threats and attacks on information system security should be improved through training and strengthening coordination among employees. \u0000 ","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127899315","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
Klasifikasi Penyakit Daun Pada Tanaman Jagung Menggunakan Algoritma Support Vector Machine, K-Nearest Neighbors dan Multilayer Perceptron
Journal of Applied Computer Science and Technology Pub Date : 2023-06-30 DOI: 10.52158/jacost.v4i1.484
J. Kusuma, Rika Rosnelly, B. Hayadi, Magister Ilmu, Komputer
{"title":"Klasifikasi Penyakit Daun Pada Tanaman Jagung Menggunakan Algoritma Support Vector Machine, K-Nearest Neighbors dan Multilayer Perceptron","authors":"J. Kusuma, Rika Rosnelly, B. Hayadi, Magister Ilmu, Komputer","doi":"10.52158/jacost.v4i1.484","DOIUrl":"https://doi.org/10.52158/jacost.v4i1.484","url":null,"abstract":"Corn is one of the substitute staple foods in Indonesia after rice. Maize crops grown in Indonesia often experience considerable losses due to maize plant diseases. Generally, plant diseases are initially caused by morphological changes in the leaves. Accurate detection and classification of diseases that appear on the leaves will prevent the widespread spread of the disease. This study will compare classification algorithms, namely Support Vector Machine, K-Nearest Neighbors, and Multilayer Perceptron to find the best algorithm in the classification of leaf disease in corn plants, namely, cercospora leaf spot gray, common rust, and northern leaf blight using the VGG-16 deep learning model used as image feature extraction. The results showed that the Multilayer Perceptron algorithm produced the best values with accuracy, precision, and recall of 97.4% each.","PeriodicalId":151855,"journal":{"name":"Journal of Applied Computer Science and Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127197130","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信