Sistemasi Jurnal Sistem Informasi最新文献_第5页

The Implementation of K-Means dan K-Medoids Algorithm for Customer Segmentation on E-commerce Data Transactions 基于K-Means和K-Medoids的电子商务数据交易客户细分算法的实现

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1337

Romadansyah Siagian, P. Sirait, Arwin Halim

引用次数: 3

Supply Chain Management's Analysis In Improving Nopia Mino Production Using SCOR Model 运用SCOR模型分析供应链管理在提高Nopia Mino生产中的作用

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1688

Apriliana Puspitaningrum, D. Kusumawardani, M. Y. Fathoni

引用次数: 0

Comparison of Agglomerative Hierarchical and K-Means in Grouping Provinces Based on Maternal Health Services 基于孕产妇保健服务的分组省份聚集等级与k均值比较

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1829

Alya Azzahra, A. Wijayanto

引用次数: 0

Relevance Analysis of Systems Analysis and Design Courses With System Analyst Skill Needs 系统分析和设计课程与系统分析技能需求的相关性分析

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1717

D. Rahmawati, Monita Rahayu, Ega Safitrah

引用次数: 0

Sentiment Analysis of Covid-19 Vaccination on Twitter Using Classification Algorithms based on PSO 基于粒子群算法的Twitter上Covid-19疫苗接种情绪分析

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1737

Fuji Astuti, Resi Taufan

引用次数: 0

Smart Office System Based Internet of Things 基于物联网的智能办公系统

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1745

Sirojul Hadi, Kurniawan Aji Pangestu

引用次数: 0

Acceptance of e-Learning Applications at Indonesian Universities Using the Extended Technology Acceptance Model 印尼大学使用扩展技术接受模型接受电子学习应用

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1993

Moh. Hafidz

{"title":"Acceptance of e-Learning Applications at Indonesian Universities Using the Extended Technology Acceptance Model","authors":"Moh. Hafidz","doi":"10.32520/stmsi.v11i2.1993","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1993","url":null,"abstract":"The emergence of the COVID-19 pandemic in Indonesia has an impact on the implementation of distance learning (e-learning) in Indonesian universities. However, the adoption of LMS technology as an e-learning medium in Indonesia has many obstacles, ranging from internet access, content, to users. This study was made to determine the perception of acceptance of the use of e-learning applications using the Extended Technology Acceptance Model (TAM). This research can be used as a strategy for implementing e-learning in higher education so that it can be accepted by students and then students really intend to use it. The respondents of this study were UHW Perbanas students with a sampling technique of 100 students spread over almost all study programs. The research data is primary data with the technique of collecting it using a questionnaire. Data analysis techniques with SmartPLS application tools. The results of research processing showed that all instruments were declared valid and reliable. The results of the hypothesis test indicate that the perceived usefulness of e-learning applications is significantly influenced positively by the characteristics of the lecturers and the quality of the content. Students' perception of ease of using e-learning applications is significantly influenced positively by content design and accessibility of e-learning.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85360674","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

Classification Algorithm for Link Prediction Based on Generated Features of Local Similarity-Based Method 基于局部相似度生成特征的链路预测分类算法

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1641

Siti Apryanti Koni’ah, H. Yuliansyah

{"title":"Classification Algorithm for Link Prediction Based on Generated Features of Local Similarity-Based Method","authors":"Siti Apryanti Koni’ah, H. Yuliansyah","doi":"10.32520/stmsi.v11i2.1641","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1641","url":null,"abstract":"A social network is a social structure that consists consisting of nodes, edges, or links and describes activity on a social media platform. Later, link prediction is a technique to predict new relationships for future networks based on information explored from the current network topology. Several local similarity-based methods use topological information to predict the link. However, these methods have different performances and depend on the network topology. This study proposes using classification algorithms of machine learning to predict future links. The classification algorithms compared are k-Nearest Neighbors (KNN), Naive Bayes, Decision Tree, and Random Forest by comparing six social network datasets with features generated from local similarity-based methods. This research was conducted in three stages: preprocessing, classification comparison, and performance evaluation. The findings of this study are that the Random Forest algorithm outperforms for testing accuracy, precision, and F1-Score. However, in the recall test results, Random Forest only outperformed other benchmark algorithms in the four datasets: soc-karate, soc-dolphin, soc-highschool M, and Soc-sparrowlyon-flock-season 03. Meanwhile, in the datasets soc-tribes and soc-aves-weaver-social-05, the Decision Tree algorithm outperformed other benchmark algorithms.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81745742","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

Effect of Finger Print Mechanisms, Procedures, and Targets on Discipline of Vocational High School Students 指纹识别机制、程序和目标对中职学生纪律性的影响

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1774

A. Suryadi, Hamdun Sulaiman, Riswandi Ishak, Cep Adiwihardja, Diah Ayu Ambarsari

引用次数: 0

Evaluation of User Satisfaction in Electronic Service Manuscripts (TNDE) Using PIECES Framework Analysis 基于碎片框架分析的电子服务稿件用户满意度评价

Sistemasi Jurnal Sistem Informasi Pub Date : 2022-05-21 DOI: 10.32520/stmsi.v11i2.1639

Reza Hikmatulloh, Qurrotul Aini, Muhammad Qumarul Huda, Evy Nurmiati, Nida Hasanati

{"title":"Evaluation of User Satisfaction in Electronic Service Manuscripts (TNDE) Using PIECES Framework Analysis","authors":"Reza Hikmatulloh, Qurrotul Aini, Muhammad Qumarul Huda, Evy Nurmiati, Nida Hasanati","doi":"10.32520/stmsi.v11i2.1639","DOIUrl":"https://doi.org/10.32520/stmsi.v11i2.1639","url":null,"abstract":"Official documents as a result of the Ministry of Public Works and Public Housing (PUPR) of the activities are increasing in quantity, therefore, to handle this needs to be backed up with a capable administrative system, namely: a computerized system to be more efficient and effective in managing official documents that called the System Electronic Service Manuscripts (TNDE) at the Ministry of PUPR. However, many users when accessing the TNDE system, often experience problems. The average user has experienced slow processing (loading) when the system is being accessed. The problem usually lies in the server network that does not respond, hence it interferes with the running of the system. The authors investigate user satisfaction on TNDE system using the PIECES framework to 74 respondents. The results of the analysis state that the average value in the Performance domain is 3.82, Information and data is 3.93, Economic is 4.18, Control and Security is 3.49, Efficiency is 4.09, and Services is at a score of 3.9. This indicates that the user is satisfied in using TNDE system.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86493524","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