Generation Journal最新文献_第2页

Sistem Pakar Penyakit Telinga Menggunakan Metode Naïve Bayes 内耳疾病系统专家采用了天真的贝斯方法

Generation Journal Pub Date : 2023-07-19 DOI: 10.29407/gj.v7i2.19991

P. Pratiwi, MGhofar Rohman, Miftahus Sholihin

引用次数: 0

Perancangan Sistem Informasi Pada UMKM Ikan Hias Nusatic

Generation Journal Pub Date : 2023-07-19 DOI: 10.29407/gj.v7i2.18995

T. Industri, Fakultas Teknik

引用次数: 1

Analisa Prediksi Harga Saham Menggunakan Neural Network Dan Net Foreign Flow

Generation Journal Pub Date : 2023-07-19 DOI: 10.29407/gj.v7i2.20001

D. Saputro, Daniel Swanjaya

{"title":"Analisa Prediksi Harga Saham Menggunakan Neural Network Dan Net Foreign Flow","authors":"D. Saputro, Daniel Swanjaya","doi":"10.29407/gj.v7i2.20001","DOIUrl":"https://doi.org/10.29407/gj.v7i2.20001","url":null,"abstract":"Saham merupakan bukti kepemilikan sebuah perusahaan, dengan memiliki saham berarti menjadi bukti bahwa kita menjadi pemilik perusahaan yang sahamnya kita miliki. Saham juga merupakan salah satu bentuk invetasi yang banyak diminati oleh masyarakat. Keuntungan memiliki saham adalah saham tersebut dapat diperdagangkan (jual dan beli) sehingga kita mendapatkan keuntungan (capital gain) dan deviden (jika saat pembagian deviden kita masih memiliki saham tersebut). Ketepatan waktu membeli, harga beli, waktu penjualan saham dan harga jual adalah faktor terpenting untuk memutuskan pembelian dan penjualan saham sehingga akan didapatkan hasil keuntungan (capital gain) di dalam berinvestasi di bursa saham. Dengan menggunakan algortima Neural Network untuk memprediksi harga saham dan varibel net foreign flow untuk mendapatkan hasil prediksi harga saham yang tepat dan dapat digunakan untuk berinvetasi. Data yang digunakan adalah data harian saham bank BCA (BBCA) periode 28 Maret 2022 sampai dengan 27 Maret 2023. Data diproses dengan menggunakan perangkat lunak RapidMiner dan didapatkan hasil prediksi harga saham dengan varibel net foreign flow memiliki hasil evalusi RMSE paling kecil yaitu 41.119 bila dibandingkan dengan hasil evalusi dengan menggunakan data varibel-variabel lainnya (data harga saham penutupan, volume). Dengan hasil RMSE yang kecil maka prediksi harga saham menggunakan net foreign flow berarti net foreign flow mempunyai pengaruh yang baik untuk memprediksi harga saham dan dapat digunakan sebagai alat (tools) untuk memprediksi harga saham. \u0000Kata Kunci — prediksi harga saham, neural network, net foreign flow dan RMSE","PeriodicalId":200108,"journal":{"name":"Generation Journal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129362086","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 Informasi Pada UMKM Kedai Jalinan Coffee UMKM Kedai Jalinan 咖啡信息系统

Generation Journal Pub Date : 2023-07-19 DOI: 10.29407/gj.v7i2.19057

Ahmad Wafiq, Ade Momon

引用次数: 0

Monitoring Peringatan Dini Kebakaran Pada Sistem Smart Home Menggunakan NodeMcu Berbasis IoT 智能家庭系统的火灾警报使用基于蜂群的节点

Generation Journal Pub Date : 2023-07-19 DOI: 10.29407/gj.v7i2.20015

W. Kuncoro, Joni Maulindar, R. Indah

{"title":"Monitoring Peringatan Dini Kebakaran Pada Sistem Smart Home Menggunakan NodeMcu Berbasis IoT","authors":"W. Kuncoro, Joni Maulindar, R. Indah","doi":"10.29407/gj.v7i2.20015","DOIUrl":"https://doi.org/10.29407/gj.v7i2.20015","url":null,"abstract":"Abstract – One of the most frequent disasters in Indonesia is fire. There are situations where homeowners are not aware that their house is on fire, such as when the owner is not home or at night when the owner is sleeping. Lack of information regarding the condition of a house that has caught fire can result in enormous material losses or can endanger a person's life if the fire is not resolved immediately. In this case, it is necessary to have a monitoring system that can provide information regarding the presence of early fire symptoms that can be accessed anytime and anywhere. This system will later be able to display fire, smoke, and temperature values from sensor readings that have been stored in the Firebase Realtime Database which will later be displayed on Mobile Apps. If there is a fire there will be a warning in the form of a buzzer and notification on the smartphone and the system will spray water through the waterpump. The results of this study are a fire early warning monitoring system on a smart home system using Internet of Things (IoT) based NodeMcu. It is hoped that this system can reduce or minimize the occurrence of fires and losses due to fires.","PeriodicalId":200108,"journal":{"name":"Generation Journal","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127022383","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

Klasterisasi Hasil Belajar Matematika dengan Algoritma K-Means Clustering 从从k -意义意义上的交叉计算结果

Generation Journal Pub Date : 2023-07-19 DOI: 10.29407/gj.v7i2.20359

Filda Febrinita, W. Puspitasari, W. Zaman

{"title":"Klasterisasi Hasil Belajar Matematika dengan Algoritma K-Means Clustering","authors":"Filda Febrinita, W. Puspitasari, W. Zaman","doi":"10.29407/gj.v7i2.20359","DOIUrl":"https://doi.org/10.29407/gj.v7i2.20359","url":null,"abstract":"Mathematics has an important role in the computer field and provides a theoretical foundation for people working in the computer field. The facts show that in the Informatics Engineering study program, Unisba Blitar, the selection of specializations is carried out without considering the grades of courses that teach basic mathematical skills. In fact, mathematical ability is needed by a computer expert. For this reason, research was conducted that aimed to cluster student mathematics learning outcomes. Clustering was carried out on 51 students in semester 4, through the application of the K-means clustering algorithm. The attributes used are school origin data, majors currently in high school, and student learning outcomes in informatics logic, statistics, computational mathematics, and advanced computational mathematics courses. The results show that through clustering with the K-Means Clustering algorithm, 5 clusters are obtained, starting from the highest average score, namely cluster 2 with a value of 86.81 and the lowest average value is cluster 5 with a value of 76.50. In cluster 2, it is dominated by students from SMK graduates majoring in TKJ. Meanwhile, cluster 5 was dominated by students from high school graduates majoring in natural sciences. In addition, there are findings indicating that vocational high school graduates do not always have lower mathematical abilities than high school graduates, because intrinsic motivation also influences the level of learning outcomes.","PeriodicalId":200108,"journal":{"name":"Generation Journal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127921641","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

Penerapan Metode XGBoost Untuk Memprediksi Jumlah Kejadian Kecelakaan Lalu Lintas di Kota Banjarmasin XGBoost方法的应用，以预测Banjarmasin市交通事故的数量

Generation Journal Pub Date : 2023-03-27 DOI: 10.29407/gj.v7i1.19807

Muhammad Alkaff, A. Baskara, Ainiyyah Ainiyyah

引用次数: 0

Implementasi Web Content Filtering Pada Jaringan RT/RW Net Menggunakan Pi-Hole DNS Server 实现Web内容过滤和RT/RW网蒙古纳坎Pi-Hole DNS服务器

Generation Journal Pub Date : 2023-03-19 DOI: 10.29407/gj.v7i1.19818

Miftahur Rahman

引用次数: 0

Perbandingan Algoritma Naive Bayes dan Decision Tree(C4.5) dalam Klasifikasi Dosen Berprestasi

Generation Journal Pub Date : 2023-03-11 DOI: 10.29407/gj.v7i1.19797

Andy Supriyadi

{"title":"Perbandingan Algoritma Naive Bayes dan Decision Tree(C4.5) dalam Klasifikasi Dosen Berprestasi","authors":"Andy Supriyadi","doi":"10.29407/gj.v7i1.19797","DOIUrl":"https://doi.org/10.29407/gj.v7i1.19797","url":null,"abstract":"Abstract – Enhancing the execution of Tri Dharma for lecturers is one of the factors in obtaining and sustaining the level of universities with good institution achievement. The Rectorate should exercise consideration while making a decision to reward lecturers who do very well. The information was gathered through speaking with members of the rectorate staff to classify lectures at Sebelas Maret University. In this study, accuracy results in the classification based on lecturers' accomplishments will be compared. International and national publications, education level, the length of doctoral studies, becoming an associate professor, and the length of certification as a lecturer are the features considered in the classification. To categorize lecturers according to their accomplishment, the algorithms Naive Bayes and Support Vector Machine were applied. 350 records of training data and 130 records of testing data total 500 records in this study. From 2018 to 2021, the study was carried out at Sebelas Maret University. The accuracy value obtained from 10-fold cross validation the testing using the Naive Bayes method is 94,80%, while the accuracy value obtained from the testing using the Decision Tree is 95,80%.","PeriodicalId":200108,"journal":{"name":"Generation Journal","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132569197","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

Sistem Cerdas Penilaian Ujian Essay Menggunakan Metode Cosine Similarity 聪明的系统论文测试采用相似的方法

Generation Journal Pub Date : 2023-03-02 DOI: 10.29407/gj.v7i1.18318

Muhammad Rizal Arifuddin, Izzudin Ar Rafiq, Rifki Mubarok, Purnomo Hadi Susilo

{"title":"Sistem Cerdas Penilaian Ujian Essay Menggunakan Metode Cosine Similarity","authors":"Muhammad Rizal Arifuddin, Izzudin Ar Rafiq, Rifki Mubarok, Purnomo Hadi Susilo","doi":"10.29407/gj.v7i1.18318","DOIUrl":"https://doi.org/10.29407/gj.v7i1.18318","url":null,"abstract":"Technological developments have grown rapidly without exception in the world of education. The development of technology in the field of education can be seen by the number of information systems used for the learning process. The online learning process has many obstacles, especially when the exam is being conducted. Not all educators can conduct online exams by utilizing information technology. One of the most difficult exams is the essay exam. The essay exam that was conducted experienced many obstacles in terms of correcting and assigning grades to students. By utilizing intelligent information technology, this can be solved because everything can be done by the system automatically. This study aims to build an intelligent system for assessing essay exams using the cosine similarity method. In the system built, all the exam processes can be done automatically. The system can correct the answers written by students then the system will also automatically give a value according to the answers entered. The results of the study indicate that the system built can assist teachers in conducting online essay exams effectively and efficiently. This is because the system can correct students' answers by automatically matching the answers from the teacher.","PeriodicalId":200108,"journal":{"name":"Generation Journal","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130351555","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