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Analysis of Students to Follow Computer Extracurricular Activities using Fuzzy Logic Method 用模糊逻辑方法分析学生对计算机课外活动的关注
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2211
Loneli Costaner, G. Guntoro, Lisnawita Lisnawita
{"title":"Analysis of Students to Follow Computer Extracurricular Activities using Fuzzy Logic Method","authors":"Loneli Costaner, G. Guntoro, Lisnawita Lisnawita","doi":"10.32520/stmsi.v12i1.2211","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2211","url":null,"abstract":"An educational institution will carry out activities for the development of human resources. In improving good human resources, additional lessons are needed to increase students' skills, especially in the computer field. The current obstacle is that schools have difficulty measuring students' interest in participating in computer extracurricular, as a result the development of computer hardware needs is hampered. This study aims to provide knowledge to schools to find out what percentage of students are interested in learning computers. The method used is a Likert scale and fuzzy logic by measuring four variables of student feelings, student attention, student interest and student involvement. Measurement of student interest by compiling a questionnaire filled in by students and students there are 14 questions with a choice of each question 5 answer choices, obtained an average weight on the Likert scale variable feeling 74.0%, attention 76.5%, interest 75.7% and the involvement of 78.0% of the weight was tested with fuzzy inference with a firmness value of 38, where the value is included in the output domain not interested. By measuring student interest, it is hoped that it will be useful for institutions to consider implementing computer extracurricular.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88129018","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
Determinants of the Acceptance of Ambon City Local Government Information Systems using the Technology Acceptance Model 基于技术接受模型的安汶市地方政府信息系统接受的决定因素
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2312
Sherly Toding, Evi Maria (SCOPUS ID: 57093633500)
{"title":"Determinants of the Acceptance of Ambon City Local Government Information Systems using the Technology Acceptance Model","authors":"Sherly Toding, Evi Maria (SCOPUS ID: 57093633500)","doi":"10.32520/stmsi.v12i1.2312","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2312","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72940284","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
Arduino-based Reverse Vending Machine Metal Medicine Packaging Exchange 基于arduino的反向自动售货机金属药品包装交换
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2185
Rebeka Firsly Stephanie Harianja, Lili Rusdiana, Catharina Elmayantie
{"title":"Arduino-based Reverse Vending Machine Metal Medicine Packaging Exchange","authors":"Rebeka Firsly Stephanie Harianja, Lili Rusdiana, Catharina Elmayantie","doi":"10.32520/stmsi.v12i1.2185","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2185","url":null,"abstract":"As technology develops, the use of vending machines also develops. In addition to purchasing food and drinks, it can also be used to exchange medicine packaging for coins. To simplify the exchange process to make it more practical and not to spend a lot of time, a reverse vending machine was built for drug packaging containing metal as input. Collecting data using the method of observation and literature study. This type of research is prototyping because the results obtained are in the form of a prototype. This prototype used 3 buttons in main  process. The first stage is pressing button 1 to detect metal, then pressing button 2 to weigh, and button 3 to release coins. The test results obtained from the Arduino-Based Reverse Vending Machine Metal Medicine Packaging Exchange indicate that the prototype is able to be used as a medium of exchange for drug packaging trash containing metal into a medium of exchange in  money form. The prototype is able to provide a solution for reducing or managing medical trash which contains metal.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74977141","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 Public Twitter on 2024 Election using the Long Short Term Memory Model 基于长短期记忆模型的2024年大选公众推特情绪分析
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2145
Dimas Anugrah Firdlous, R. Andrian, Suprih Widodo
{"title":"Sentiment Analysis Public Twitter on 2024 Election using the Long Short Term Memory Model","authors":"Dimas Anugrah Firdlous, R. Andrian, Suprih Widodo","doi":"10.32520/stmsi.v12i1.2145","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2145","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75283713","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
Comparison of Classification Algorithms toward Sentiment Analysis on Claim of Old Age Guaranteed 面向养老保险索赔情感分析的分类算法比较
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2221
Ahmad Al Kaafi, Hilda Rachmi, S. Suparni
{"title":"Comparison of Classification Algorithms toward Sentiment Analysis on Claim of Old Age Guaranteed","authors":"Ahmad Al Kaafi, Hilda Rachmi, S. Suparni","doi":"10.32520/stmsi.v12i1.2221","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2221","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76369605","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
Forecasting Coconut Production in Indragiri Hilir with Autoregressive Integrated Moving Average Model 用自回归综合移动平均模型预测Indragiri Hilir地区椰子产量
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2531
H. Mardesci, Maryam Maryam, Khairul Ihwan
{"title":"Forecasting Coconut Production in Indragiri Hilir with Autoregressive Integrated Moving Average Model","authors":"H. Mardesci, Maryam Maryam, Khairul Ihwan","doi":"10.32520/stmsi.v12i1.2531","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2531","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"207 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82823947","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 Electric Vehicles using the Naïve Bayes Algorithm 基于Naïve贝叶斯算法的电动汽车情感分析
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2417
A. Erfina, Rita Ajeng Lestari
{"title":"Sentiment Analysis of Electric Vehicles using the Naïve Bayes Algorithm","authors":"A. Erfina, Rita Ajeng Lestari","doi":"10.32520/stmsi.v12i1.2417","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2417","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75634693","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
Comparison of Logistic Regression and Random Forest using Correlation-based Feature Selection for Phishing Website Detection 基于相关性特征选择的逻辑回归与随机森林在钓鱼网站检测中的比较
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.1832
F. Farida, Ali Mustopa
{"title":"Comparison of Logistic Regression and Random Forest using Correlation-based Feature Selection for Phishing Website Detection","authors":"F. Farida, Ali Mustopa","doi":"10.32520/stmsi.v12i1.1832","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.1832","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78361173","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
Analysis Of Service Quality On The Surabaya Single Window (SSW) Website Using Modification E-Govqual Method 基于改进E-Govqual方法的泗水单一窗口(SSW)网站服务质量分析
Sistemasi Jurnal Sistem Informasi Pub Date : 2023-01-31 DOI: 10.32520/stmsi.v12i1.2196
Zidan Catur Pamungkas, Muhammad Andik Izzudin, Andhy Permadi
{"title":"Analysis Of Service Quality On The Surabaya Single Window (SSW) Website Using Modification E-Govqual Method","authors":"Zidan Catur Pamungkas, Muhammad Andik Izzudin, Andhy Permadi","doi":"10.32520/stmsi.v12i1.2196","DOIUrl":"https://doi.org/10.32520/stmsi.v12i1.2196","url":null,"abstract":"","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90576904","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
TF-IDF Weighting to Detect Spammer Accounts on Twitter based on Tweets and Retweet Representation of Tweets 基于tweet和tweet转发表示的TF-IDF加权检测Twitter上的垃圾邮件账户
Sistemasi Jurnal Sistem Informasi Pub Date : 2022-09-30 DOI: 10.32520/stmsi.v11i3.1995
A. M. Priyatno, Lidya Ningsih
{"title":"TF-IDF Weighting to Detect Spammer Accounts on Twitter based on Tweets and Retweet Representation of Tweets","authors":"A. M. Priyatno, Lidya Ningsih","doi":"10.32520/stmsi.v11i3.1995","DOIUrl":"https://doi.org/10.32520/stmsi.v11i3.1995","url":null,"abstract":"pembobotan TF-IDF untuk mendeteksi akun spammer di Twitter berdasarkan tweet dan representasi retweet dari tweet. Tujuan dari penelitian ini adalah untuk mendeteksi Bot Spammer atau Human menggunakan teknik klasifikasi meggunakan algoritma naive bayes. Hasil percobaan terbaik pada pembagian 70% data latih dan 30% data uji mendapatkan akurasi 92% dengan precision dan recall sebesar 100% dan 87.5%. Hal ini menunjukan berhasil mendeteksi akun bot spammer di Twitter. Abstract Twitter is a social media service that is often used (popular) as a means of communication between users. Twitter's popularity makes spammers spam for personal purposes and gains. Bot spammers are user abuse on Twitter social media. Spammers spread spam repeatedly to other users. This spam is done with the aim of achieving trending topics. Spam activity is carried out by imitating the behavior patterns of real users so that they are not detected as acts of Twitter abuse. in this paper proposed a TF-IDF weighting to detect spammer accounts on Twitter based on tweets and retweet representation of tweets. The purpose of this study is to detect Bot Spammers or Humans using a classification technique using the Naive Bayes algorithm. The best experimental results in the division of 70% training data and 30% test data obtained 92% accuracy with precision and recall of 100% and 87.5%, respectively. This shows that it has successfully detected spammer accounts on Twitter.","PeriodicalId":32367,"journal":{"name":"Sistemasi Jurnal Sistem Informasi","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82992745","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
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