Sistemasi Jurnal Sistem Informasi最新文献_第6页

Feature Extraction With Forest Classifer To Predicate Covid 19 Based On Thorax X-Ray Results 基于胸部x射线结果的森林分类器特征提取预测Covid - 19

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1966

Ali Mustopa, Hendri Mahmud Nawawi, Sarifah Agustiani, Siti Khotimatul Wildah

引用次数: 0

E-Learning Moodle Usability Evaluation Using the SUS Questionnaire in Higher Education 基于SUS问卷的高等教育网络学习Moodle可用性评估

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1838

Ria Andriani, Ahmad H. Sa’di

{"title":"E-Learning Moodle Usability Evaluation Using the SUS Questionnaire in Higher Education","authors":"Ria Andriani, Ahmad H. Sa’di","doi":"10.32520/stmsi.v11i2.1838","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1838","url":null,"abstract":"The COVID-19 pandemic has had a huge impact on all sectors, from health, economy, social, religious to education. A very real impact in the world of education is the policy of the central and local governments to carry out online teaching and learning processes for all educational institutions from kindergartens to universities to break the chain of the spread of covid 19. So that all universities are required to be able to take advantage of various information technologies available has been very developed, one of which is E-Learning, E-Learning is a form of technological development that can be used for electronic-based teaching and learning processes through the internet network. As an effort to realize the campus trend in information technology, ABC University developed an educational platform in the campus environment by maximizing the use of information technology called WASKITA which functions as a support for teaching and learning activities at universities. This study aims to evaluate e-learning to determine the quality of the applications that have been implemented using the System Usability Scale (SUS) questionnaire. The number of respondents in this study were 34 respondents. The evaluation is done by giving tasks according to the features that exist in Waskita so that it can be known what factors must be improved then conducting interviews with users in this case lecturers at ABC College to be able to process any recommendations that will be given to the manager. The results of the usability measurement of E-Learning Moodle accessed at (Waskita.amikom.ac.id) show the average SUS score is 50 which means that the acceptance rate of this E-Learning is at Marginal Low then the adjective value indicates Poor with a grade scale at level E. Users think that Moodle E-Learning is still complicated to use, causing users to consider using E-Learning especially on mobile applications.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87950279","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

Package Tracking Information System Enterprise Architecture Modeling Using TOGAF ADM 使用TOGAF ADM的包跟踪信息系统企业架构建模

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1623

Izdihar Abhista Ramadhani, Yupie Kusumawati

引用次数: 0

Decision Support System For Selection Of Student Competition Supervisor at Dinamika University 迪纳米卡大学学生竞赛主管选择决策支持系统

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1770

Herwanda Ayu Destania, Rochmat Rizky Alfandy, Muhammad Wahyudi, Julianto Lemantara

引用次数: 0

Identification of Learning Experience in Online Learning with User Persona Techniques Based on Learner-Centered Design Concepts 基于以学习者为中心的设计理念的用户角色技术在在线学习中的学习体验识别

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1763

Putu Yudia Pratiwi, I. G. Sudirtha

{"title":"Identification of Learning Experience in Online Learning with User Persona Techniques Based on Learner-Centered Design Concepts","authors":"Putu Yudia Pratiwi, I. G. Sudirtha","doi":"10.32520/stmsi.v11i2.1763","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1763","url":null,"abstract":"Online learning is now not a new thing in the world of education. However, with the change in the learning system that is carried out entirely online, of course, there is a need for adjustments so that the quality of learning is maintained. Online learning has provided convenience in the learning process because it can be done asynchronously. Understanding the learning experience of students is very important to optimize learning that focuses on learner-certified design. A good learning experience will also have an impact on student learning outcomes. Therefore, it is necessary to identify and analyze the needs of students in online learning so that the learning process becomes more optimal. The use of persona techniques can provide more detailed information to explore the needs of students in the online learning process. This research begins by identifying problems, observing target users, persona design, and persona analysis. The results of the study indicate that there are several shortcomings and obstacles faced during online learning and several things that need to be considered for online learning in the future, namely lectures to be carried out according to a predetermined schedule, providing more reference materials and more detailed explanations of material, providing learning videos for providing additional understanding related to lecture material, provide quizzes and discussion forums on e-learning at the end of each material, more intense interaction is needed to discuss learning materials, more frequent online meetings are held to provide confirmation and discussion of material and provide feedback on each assignment.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83806292","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

Implementation of RESTful Web Service on Indonesian’s Integrated Breastfeeding Donor Information System 印度尼西亚母乳喂养供者综合信息系统RESTful Web服务的实施

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1797

Badieah Badieah, A. Mujib, M. Madrah, Andi Riansyah, Nur Muhammad Syaifuddin

{"title":"Implementation of RESTful Web Service on Indonesian’s Integrated Breastfeeding Donor Information System","authors":"Badieah Badieah, A. Mujib, M. Madrah, Andi Riansyah, Nur Muhammad Syaifuddin","doi":"10.32520/stmsi.v11i2.1797","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1797","url":null,"abstract":"The golden period is a term used to describe the importance of the first 1000 days of human life. Nutritional intake in children at this time becomes very important because malnutrition in this period will cause disturbances in child development. To prevent this risk, the intake of breast milk is necessary for babies at least in the first 6 months of life. However, there are many internal and external factors that can affect a baby not being able to receive it. One solution that commonly used to share breast milk amongst mothers. A mother can share breast milk directly through personal relations or through human milk bank agencies. The implication of the problem of sharing human milk in Muslim societies is the occurrence of kinship relationship between the child and his milk mother that change the status of mahram and the prohibition of marriage between breast milk children and biological children of the donor because the two children's status changed to breast milk siblings. Referring to these conditions, we designed an integrated information system prototype by integrating breast milk donor data obtained from human milk banks throughout Indonesia. Interoperability problems during data integration process are overcome by implementing a RESTful API as a web service. The output of this information system is the issuance of milk-kinship certificates given to donors and recipients as evidence of donors as well as become a token that there is a mahram bond between donors and recipients. A milk-kinship certificate can prevent marriage between milk-kinship siblings, especially in Muslim communities.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"214 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83614212","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

Finding Customer Patterns Using FP-Growth Algorithm for Product Design Layout Decision Support 基于FP-Growth算法的产品设计布局决策支持客户模式研究

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1762

Erna Haerani, C. Juliane

{"title":"Finding Customer Patterns Using FP-Growth Algorithm for Product Design Layout Decision Support","authors":"Erna Haerani, C. Juliane","doi":"10.32520/stmsi.v11i2.1762","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1762","url":null,"abstract":"The transaction database contains a very large and irregular dataset that requires another mechanism to read it, even though there is a lot of new knowledge that can be revealed, including associations or relationships between goods or products that are often purchased by customers. The new finding of the relationship between these variables is usually called association rule mining. The algorithm that is developing and often used is frequent pattern-growth (FP-Growth). The problem of very many transaction databases also occurred in Mr. A. So, in this research, we will look for customer patterns using the FP-Growth algorithm. The algorithm aims to find the maximum frequent itemset. The frequent itemset will be generated into associative rules so that it becomes valuable new knowledge. This knowledge can be used as a reference and consideration in making decisions. The FP-Growth algorithm will be implemented using the rapidminer tools on the transaction data of Mr.A's goods sales. The pattern of rules that will be searched for is based on data on sales of goods transactions. The results of the study obtained six association rules with five conclusions being the gift category. So that the suggestion for decision making is to lay out items close to and around the gift category in order to improve marketing and service strategies in order to attract the attention and interest of pointers in making purchases of goods.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84991322","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

Comparative Analysis of Data Mining Classification Algorithm Performance for Searching Prospective Student Interests 面向潜在学生兴趣搜索的数据挖掘分类算法性能比较分析

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1610

B. Budiman, Z. Niqotaini

{"title":"Comparative Analysis of Data Mining Classification Algorithm Performance for Searching Prospective Student Interests","authors":"B. Budiman, Z. Niqotaini","doi":"10.32520/stmsi.v11i2.1610","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1610","url":null,"abstract":"Admission of new students is an activity that’s always carried out by every university in the new academic year. The decline in the number of registrants every year is an obstacle for AMIK HASS in new student admissions, efforts are needed to process the existing data on new student admissions. Data mining applications use classification algorithms that aim to make predictions. The algorithms used are Nave Bayes (NB), Decision Tree J48 (J48), K-Nearest Neighbor (K-NN), Random Forest (RF), and Support Vector Machine (SVM). Algorithm testing to analyze the performance of each algorithm uses WEKA. The data set used in this study is the search for potential and interest of prospective new students as many as 5,934 records. The tests carried out on the five algorithms use the test percentage split mode, which is 70% for training data and 30% for test data. The highest accuracy rate on J48 is 90.34% followed by RF at 89.04%, SVM at 88.43%, K-NN at 87.53%, NB at 87.25%. J48 is the best algorithm for testing data sets with the lowest prediction error rate of 0.26. The J48 classification algorithm has explicit rules for the classification and handling of heterogeneous data by having 255 rules.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74645195","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 Thinking Problems in Determining Solution for Creative Gift Orders 创意礼品订单方案确定中的设计思维问题

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-01-09 DOI: 10.32520/stmsi.v11i1.1666

M. A. Maricar, Dian Pramana, E. Edwar

引用次数: 1

Implementation of Dijkstra Algorithm with React Native to Determine Covid-19 Distribution 用React Native实现Dijkstra算法确定Covid-19分布

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-01-09 DOI: 10.32520/stmsi.v11i1.1667

Rosyid Ridlo Al Hakim, P. Purwono, Y. Arief, A. Pangestu, M. H. Satria, Eko Ariyanto

引用次数: 2