JISKA Jurnal Informatika Sunan Kalijaga最新文献_第3页

Penerapan Data Mining dengan Metode Regresi Linear untuk Memprediksi Data Nilai Hasil Ujian Menggunakan RapidMiner 数据挖掘方法采用线性回归方法来预测测试结果的值数据

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2023-01-30 DOI: 10.14421/jiska.2023.8.1.10-21

M. Sholeh, Erna Kumalasari Nurnawati, Uning Lestari

{"title":"Penerapan Data Mining dengan Metode Regresi Linear untuk Memprediksi Data Nilai Hasil Ujian Menggunakan RapidMiner","authors":"M. Sholeh, Erna Kumalasari Nurnawati, Uning Lestari","doi":"10.14421/jiska.2023.8.1.10-21","DOIUrl":"https://doi.org/10.14421/jiska.2023.8.1.10-21","url":null,"abstract":"Prediction is one of the methods in data mining. One of the models that can be used in prediction is using linear regression. Linear regression is used to make predictions on the data that has been provided. In this study, a linear regression model was made with a datasheet containing data that affected student achievement in achieving final exam scores. The linear regression model developed can be used to predict student test scores. The linear regression model developed can be used to predict student test scores. The datasheet used in the test uses a public datasheet, namely student_performance.csv. The datasheet consists of 395 records and 33 attributes. The attributes used are selected that influence the label. The selection of attributes is based on the results of the weighting in the process of checking the correlation matrix. Based on the weighting, the attributes used are seven attributes and one attribute becomes a label. The research method uses CRISP DM which consists of business understanding, data understanding, data preparation, model making, evaluation, and deploying. The data mining process uses the Rapid Miner application. The results of the study resulted in a linear regression model y=0.729-(0.024×Medu)-(0.020×Fedu)+(0.053×failures)-(0.077×goout)-(0.012×absences)+(0.126×G1)+(0.862×G2). The result of evaluating the performance of the RMSE value was 0.675. Based on these results, it can be concluded that the resulting model can be recommended for use in predicting student test scores.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45216415","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: 2

Optimasi Seleksi Fitur Information Gain pada Algoritma Naïve Bayes dan K-Nearest Neighbor

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.237-255

Muhammad Norhalimi, Taghfirul Azhima Yoga Siswa

{"title":"Optimasi Seleksi Fitur Information Gain pada Algoritma Naïve Bayes dan K-Nearest Neighbor","authors":"Muhammad Norhalimi, Taghfirul Azhima Yoga Siswa","doi":"10.14421/jiska.2022.7.3.237-255","DOIUrl":"https://doi.org/10.14421/jiska.2022.7.3.237-255","url":null,"abstract":"There was an increase in the number of late payments of tuition fees by 3,018 from a total of 5,535 students at the end of 2020. This study uses the Python library which requires data to be of numeric type, so it requires data transformation according to the type of data in the study, data that has a scale is transformed using an ordinal encoder, and data that does not have a scale is transformed using one-hot encoding. The purpose of this study was to evaluate the performance of the Naïve Bayes algorithm and K-Nearest Neighbor with a confusion matrix in predicting late payment of tuition fees at UMKT. The dataset used in this study was sourced from the financial administration bureau as many as 12,408 data with a distribution of 90:10. Based on the results of the calculation of the selection of information gain features, the best 4 attributes that influence the research are obtained, namely faculty, study program, class, and gender. The results of the evaluation of the confusion matrix that have the best performance using the Naïve Bayes with information gain algorithm obtain an accuracy of 55.19%, while the K-Nearest Neighbor with information gain only obtains an accuracy of 50.76%. Based on the accuracy results obtained in the prediction of late payment of tuition fees by using attributes derived from information gain, it influences increasing the accuracy of Naïve Bayes, but the use of the information gain attribute on the K-Nearest Neighbor algorithm makes the accuracy obtained decrease.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44386327","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 Kesuksesan Penerapan Sistem Elektronik Kinerja (E-Kinerja) Menggunakan Enhanced Information System Success Model di Kecamatan Benda Tangerang 使用增强信息系统在Tangerang区块中的成功应用评估成功使用电子性能系统

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.192-210

Latansa Amalia, Anik Hanifatul Azizah

{"title":"Evaluasi Kesuksesan Penerapan Sistem Elektronik Kinerja (E-Kinerja) Menggunakan Enhanced Information System Success Model di Kecamatan Benda Tangerang","authors":"Latansa Amalia, Anik Hanifatul Azizah","doi":"10.14421/jiska.2022.7.3.192-210","DOIUrl":"https://doi.org/10.14421/jiska.2022.7.3.192-210","url":null,"abstract":"E-Kinerja Benda District Tangerang City is an E-Government in the form of an Employee Performance Management Information System in charge of recording and reporting the performance of all employees in the government environment. The system should aim to simplify employee performance management and measure the efficiency and creativity of employees at work, in its implementation, there are still problems that occur. Many employees complain about the system, the implementation of the E-Kinerja system either directly or indirectly is considered troublesome, the internet network is not widely connected, the presence of technology devices (computers) is limited, and the lack of employees in understanding and utilizing the E-Kinerja system, and the lack of attendance and knowledge of information about IT as part of the supporting components in the process of presenting the information. So that an evaluation of the application of E-Kinerja is carried out, with the aim of this study being able to measure evaluation to prove the success rate of implementing E-Kinerja-based performance evaluations in Benda District, Tangerang City and knowing what factors or variables influence it. This study evaluates success using the Enhanced Information System Success Model with 7 evaluation variables: information quality, system quality, service quality, user satisfaction, trust, use, and net benefits. This study will use a qualitative and quantitative data approach through observation, interviews, literature studies, and questionnaires where the total respondents obtained are 62 respondents with PLS-SEM data analysis and SmartPLS 3.3 assistance. Based on the results of the research conducted, it is proven that from the 14 hypotheses proposed there are 5 hypotheses accepted while 9 other hypotheses are rejected. This evaluation also produces recommendations from the seven variables used which contain alternatives to improve and increase the success of the implementation of E-Kinerja.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45978986","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

Pembatasan Akses Menggunakan MAC Address dengan Metode Access Control List 使用MAC地址和方法访问控制列表的访问限制

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.143-162

Muhammad Aditya Rabbani Adit, Martanto Martanto, Yudhistira Arie Wijaya

引用次数: 0

Summarizing Online Customer Review using Topic Modeling and Sentiment Analysis 利用主题建模和情感分析对在线客户评论进行总结

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.177-191

Muhammad Rifqi Maarif

{"title":"Summarizing Online Customer Review using Topic Modeling and Sentiment Analysis","authors":"Muhammad Rifqi Maarif","doi":"10.14421/jiska.2022.7.3.177-191","DOIUrl":"https://doi.org/10.14421/jiska.2022.7.3.177-191","url":null,"abstract":"With the massive implementation of social media in various forms in various business domains, business or product owners have the opportunity to be able to take advantage of user review data that is available free of charge to evaluate the products they issue. User reviews on social media platforms, marketplaces, and e-commerce are User Generated Content (UGC) which is very useful for product owners to find out the extent of user preferences for their products. However, to be able to comprehensively read the data, the right technology is needed considering that the data is in the form of text in very large quantities. Reading one by one and then drawing conclusions is certainly not the right approach because it will take quite a lot of time. So, in this study, the researcher will use a text analysis-based approach, especially topic modeling and sentiment analysis to summarize user reviews in the comments or reviews column on the e-commerce platform. The case study used in this study is user reviews in the comments column on the Amazon site for the Lenovo K8 Note smartphone product. From the experiments carried out, the approach used can summarize the reviews written by quite many users in one summary that can be easily understood.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45753531","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

Prototipe Alat Ukur Detak Jantung Menggunakan Sensor MAX30102 Berbasis Internet of Things (IoT) ESP8266 dan Blynk 基于互联网的MAX30102传感器(很多)、ESP8266和Blynk的原型心率检测器

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.163-176

M. Muthmainnah, Deni Bako Tabriawan

引用次数: 1

Pengenalan Tulisan Tangan Huruf Latin Bersambung Menggunakan Local Binary Pattern dan K-Nearest Neighbor 基于局部二进制模式和K近邻的拉丁字母手写识别

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.211-225

Vivi Oktavia, Novan Wijaya

{"title":"Pengenalan Tulisan Tangan Huruf Latin Bersambung Menggunakan Local Binary Pattern dan K-Nearest Neighbor","authors":"Vivi Oktavia, Novan Wijaya","doi":"10.14421/jiska.2022.7.3.211-225","DOIUrl":"https://doi.org/10.14421/jiska.2022.7.3.211-225","url":null,"abstract":"There are 26 Latin letters in Indonesia, 5 of which are vowels and 21 consonants. This study will translate handwriting with a Latin object using the K-Nearest Neighbor method with the Local Binary Pattern extension. The research is being done with a focus on experimentation using a few methods that have already been discussed. Concatenated Latin letters have a few variations that depend on the work's author, so research will be conducted to identify cursive Latin letters based on these variations. Each of the 30 respondents wrote 26 capital letters and 26 lowercase letters on paper, which was then scanned to provide the image data. Black, blue, and red pens were used to write by every ten responders. The recognition procedure is broken into two halves, capital and non-capital letter recognition using 780 picture datasets each. In the study, k-fold cross-validation is used, with k = 6. The best value was reached at k = 7 with 29.49 percent accuracy, 33.88 percent precision, recall 33.46 percent, and F1-score 27.65 percent according to the research utilizing KNN with values k = 3, 5, and 7. and for recognizing non-capital characters, the best result was found at k=3 with accuracy, precision, recall, and F1-score of 26.28, 27.27, and 22.7%, respectively.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49658250","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

Sistem Pendukung Keputusan Kesesuaian Lahan Tanaman Padi Menggunakan Metode AHP dan SAW 基于AHP和SAW方法的地面现场一致性决策支持系统

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-09-25 DOI: 10.14421/jiska.2022.7.3.226-236

S. R. Wulandari, Hamdani Hamdani, Anindita Septiarini

引用次数: 0

Analisis Unjuk Kerja TCP Sack Menggunakan Antrian Random Early Detection 基于随机早期检测Antrian的TCP麻袋工作指标分析

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-05-25 DOI: 10.14421/jiska.2022.7.2.75-82

Rinny Asasunnaja, Bambang Sugiantoro

{"title":"Analisis Unjuk Kerja TCP Sack Menggunakan Antrian Random Early Detection","authors":"Rinny Asasunnaja, Bambang Sugiantoro","doi":"10.14421/jiska.2022.7.2.75-82","DOIUrl":"https://doi.org/10.14421/jiska.2022.7.2.75-82","url":null,"abstract":"As time goes by, the current technology is also developing very rapidly, the rapid development of technology, especially on the internet network is also developing so that it is expected to continue to provide the best quality to meet the growing and fast information needs. An internet network is highly demanded of its best quality, one of which is in the spotlight to be developed, namely TCP Transmission Control Protocol. The efficiency and smoothness of the data transmission process is the most important thing in a communication network. TCP is one aspect that supports today’s fast internet, with TCP we can exchange information accurately, quickly, and well. In this study, researchers are interested in analyzing the performance of TCP Sack using the Random Early Detection queue. By doing this research is expected to know the performance of TCP Sack by looking at the parameter values of packet delivery ratio, throughput, end to end delay, and packet drop. Based on the results of the analysis, it can be concluded that end-to-end delay parameter testing on the TCP Sack still has poor performance, while for testing the packet delivery ratio, throughput, and packet drop TCP Sack already has good performance.","PeriodicalId":34216,"journal":{"name":"JISKA Jurnal Informatika Sunan Kalijaga","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45397405","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

Perbandingan Forensic Tools pada Instagram Menggunakan Metode NIST 使用NIST方法在Instagram上比较取证工具

JISKA Jurnal Informatika Sunan Kalijaga Pub Date : 2022-05-25 DOI: 10.14421/jiska.2022.7.2.134-142

Irhash Ainur Rafiq, Imam Riadi, Herman

引用次数: 0