INOVTEK Polbeng - Seri Informatika最新文献_第5页

Implementasi Automation Deployment pada Google Cloud Compute VM menggunakan Terraform 实现自动化部署模板Google Cloud Compute VM menggunakan Terraform

INOVTEK Polbeng - Seri Informatika Pub Date : 2023-06-17 DOI: 10.35314/isi.v8i1.3095

Debi Gustian, Yuli Fitrisia, Wenda Novayani, Sugeng Purwantoro E.S.G.S

引用次数: 1

Klasterisasi Menggunakan Algoritma K-Means dan Elbow pada Opini Masyarakat Tentang Kebijakan Sekolah Luring Tahun 2022 规范使用了对2022年校规的公众意见的k - and Elbow算法

INOVTEK Polbeng - Seri Informatika Pub Date : 2023-06-17 DOI: 10.35314/isi.v8i1.2756

Rahmawan Bagus Trianto, A. Nugroho, Eko Supriyadi

{"title":"Klasterisasi Menggunakan Algoritma K-Means dan Elbow pada Opini Masyarakat Tentang Kebijakan Sekolah Luring Tahun 2022","authors":"Rahmawan Bagus Trianto, A. Nugroho, Eko Supriyadi","doi":"10.35314/isi.v8i1.2756","DOIUrl":"https://doi.org/10.35314/isi.v8i1.2756","url":null,"abstract":"- The covid-19 pandemic that swept across the globe had adverse effects in many areas. One of the most affected areas is education in Indonesia. The online learning model became the only option at the time, which had a negative impact on the quality of education in Indonesia. As time went on, conditions are getting better, but there was still a threat of covid-19. In early 2022 governments began to adopt face-to-face or offline learning that attracted opinions on social media. The opinions that are widely written on social media need to be prepared because they could be input to the government. Clustering using the k-means algorithm with the elbow method as its optimizer in determining the best cluster number is one of the opinions processing options on social media for measuring and accounting. Data is treated with two approaches: with and without stemming . Applying the elbow method to the k-means algorithm produces a performance of the clustering model with a DBI value of 0.003 with 4 clusters, and a value of SSE 0.331, for data without stemming . On data with treatment using stemming , it has 3 cluster numbers with a value of DBI at 0.003 and SSE at 0426.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129926193","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

Pendekatan Agile Scrum pada Pengembangan Aplikasi Analitik Akademik dan Kemahasiswaan

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-12-07 DOI: 10.35314/isi.v7i2.2880

Faisal Rahutomo, S. Sutrisno, Meiyanto Eko Sulistyo, Josaphat Tetuko Sri Sumantyo, Bambang Harjito

{"title":"Pendekatan Agile Scrum pada Pengembangan Aplikasi Analitik Akademik dan Kemahasiswaan","authors":"Faisal Rahutomo, S. Sutrisno, Meiyanto Eko Sulistyo, Josaphat Tetuko Sri Sumantyo, Bambang Harjito","doi":"10.35314/isi.v7i2.2880","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2880","url":null,"abstract":"Abstrack - To make the right decisions and policies, university management often requires data. The problem that often arises is scattered data in various existing applications. To get the right point of view, it requires data analysts who master the situation broadly, including the business processes that occur in the organization and the various applications that run in it. People who can handle the problem are very limited or even non-existent, even though the need for data from management is increasingly. It can overcome these problems by building a data analytics system that works in a data warehouse. So that this paper proposes to study the design and implementation of academic and student data analytics applications. Utilization of existing data warehouses can be used as data visualization, data reporting, trend analytics, association analytics, group analytics, decision support systems, forecasting systems, and expert systems. The existing approach uses the Agile Scrum framework to get around time constraints and limited people. The test results show that this application can be built with this framework. A sizable application can be built within 1 month with 1 scrum master, 4 programmers and 2 tester-documentator.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128114542","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

Klasterisasi Buku dan Peminjam Buku di Perpustakaan dengan Metode Analisis Jejaring Sosial dan Deteksi Komunitas 图书馆书籍和借书者的分类与社交网络分析和社区检测的方法

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2780

T. Setiadi

{"title":"Klasterisasi Buku dan Peminjam Buku di Perpustakaan dengan Metode Analisis Jejaring Sosial dan Deteksi Komunitas","authors":"T. Setiadi","doi":"10.35314/isi.v7i2.2780","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2780","url":null,"abstract":"Abstrack - Book lending is the most important service in the library. So far, book borrowing data is often used as a statistical report, has not been analyzed further to find patterns/knowledge to deepen the insight of library managers. With the rapid growth of big data, social network analysis and community detection have been studied intensively by many researchers over the past few years. However, little research has been done on social network analysis and community detection of borrowing books at the library, and no one has even conducted a comparison analysis of community detection algorithms on book lending. In this paper, we propose an analysis of the library's book borrowing database using social network analysis and community detection methods. The purpose of this study is to find book clusters and borrower clusters by utilizing the best community detection method obtained. The research step begins with collecting data on borrowing books, constructing it into a bipartite graph model, projecting the bipartite graph into a book graph and a book borrowing graph. Then conduct experiments comparing several community detection algorithms for the two graphs, with evaluation metrics in the form of modularity, performance, coverage, density and entropy. The experimental results of Louvain's algorithm and Eva's algorithm have the best performance for book graphs and book borrowers. The application of community detection to the book graph obtained 16 clusters of books, while the book borrower graph obtained 21 clusters of book borrowers. The results of this clustering can be used as recommendations for library management in making library programs to increase the utility of books and increase user loyalty.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134245225","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

Analisa Manajemen Resiko Keamanan Pada Sistem Informasi Akademik (Simak) Uin Raden Fatah Palembang Menggunakan Metode Failure Mode And Effect Analysis (FMEA) 学术信息系统安全风险管理分析(Simak) Uin Raden Fatah Palembang采用故障模式和效果分析方法(FMEA)

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2631

Yesi Ramayani

{"title":"Analisa Manajemen Resiko Keamanan Pada Sistem Informasi Akademik (Simak) Uin Raden Fatah Palembang Menggunakan Metode Failure Mode And Effect Analysis (FMEA)","authors":"Yesi Ramayani","doi":"10.35314/isi.v7i2.2631","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2631","url":null,"abstract":"- The Academic Information System (SIMAK) of UIN Raden Fatah Palembang is a service information system provided by PUSTIPD (Center for Information Technology and Databases) to help Students and Lecturers, one of which is to view personal data, value data, KRS data. In implementing this SIMAK, there can be risks due to errors in implementing its use, one of which is system connection errors, damaged hardware, failed network, failed data backup, power failure, misuse of access rights, cybercrime. To minimize the effects of these threats can apply risk management that aims to overcome risks by anticipating losses that occur and implementing procedures that are able to minimize the occurrence of losses. With the management risk management of this information system, the author uses the Failure Mode and Effect Analysis (FMEA) method with a qualitative approach method. FMEA which is used to capture potential failures, risks and impacts is prioritized with a priority number called risk priority number (RPN). The results of this study show that there are 6 categories in the priority rpn value in SIMAK, namely, 1 very high category value, 3 high category values, 4 medium category values, 3 low category values, 6 very low category values and 1 category value with almost no failures.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127443777","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 Kinerja Clustered File System pada Cloud Storage menggunakan GlusterFS dan Ceph

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2753

Sugeng Purwantoro E.S.G.S

{"title":"Perbandingan Kinerja Clustered File System pada Cloud Storage menggunakan GlusterFS dan Ceph","authors":"Sugeng Purwantoro E.S.G.S","doi":"10.35314/isi.v7i2.2753","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2753","url":null,"abstract":"Perkembangan teknologi yang cepat menyebabkan kebutuhan penyimpanan data semakin berkembang. Salah satu untuk memperbesar kapasitas penyimpanannya dengan metode Clustered file system. Pada pengujian ini membandingkan kecepatan upload dan download file dan write/read file pada GlusterFS dan Ceph. Pengujian transfer file menggunakan file dengan ukuran 500MB, 10 kali pengujian, dan menggunakan aplikasi teracopy. Dari pengujian maka diperoleh hasil untuk upload file bahwa metode GlusterFS lebih cepat 11,5% daripada Ceph dengan rata-rata upload file GlusterFS lebih tinggi sebesar 3,57MB/s dan CephFS sebesar 3,20MB/s, hasil yang diperoleh untuk download file bahwa metode GlusterFS lebih cepat 11,3% daripada Ceph dengan rata-rata upload file GlusterFS lebih tinggi 4,13MB/s dan CephFS sebesar 3,71MB/s, hasil yang diperoleh untuk write file bahwa metode GlusterFS lebih cepat 106% daripada Ceph dengan perbandingan sebesar 11,34kB/s dan 8,05kB/s, untuk read file bahwa metode GlusterFS lebih cepat 37% daripada Ceph dengan perbandingan sebesar 3,10kB/s dan 2,25kB/s. Dari analisis tersebut bahwa metode GlusterFS lebih baik 100% dengan menggunakan 2 node yang masing-masing memiliki virtual disk yang dapat digabung dan mempercepat performancenya, sedangkan Ceph terbagi 3 node dimana 1 node digunakan sebagai MON yang berisikan penyimpanan metadata dan pool data yang memiliki proses lebih banyak sehingga mengakibatkan turunnya performance pada file system tersebut","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132483094","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 Dokumentasi Untuk Monitoring Logbook dan Presensi Mahasiswa Kerja Praktek di Politeknik Negeri Bengkalis 在孟加拉国家理工学院实践学生的实践实践实践实践实践的实践方法的应用

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2595

Handrian Azhar, Muhamad Sadar, Lucky Lhaura Van FC, Pandu Pratama Putra

引用次数: 1

Sistem Pendukung Keputusan Pemilihan Menu Makan untuk Balita Menggunakan Metode Weight Product 使用重量生产方法为幼儿选择饮食的支持系统

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2647

Esi putri Silmina, Tikaridha Hardiani

引用次数: 1

Implementasi Augmented Reality Media Pengenalan Hardware Dengan Metode Multimedia Development Life Cycle Dan Prototype 实现增强现实媒体Pengenalan硬件Dengan方法多媒体开发生命周期Dan原型

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2633

Melinia Dini Afrian, Pradana Ananda Raharja

{"title":"Implementasi Augmented Reality Media Pengenalan Hardware Dengan Metode Multimedia Development Life Cycle Dan Prototype","authors":"Melinia Dini Afrian, Pradana Ananda Raharja","doi":"10.35314/isi.v7i2.2633","DOIUrl":"https://doi.org/10.35314/isi.v7i2.2633","url":null,"abstract":"- Learning activities at SD Islam Plus Masyithoh that teachers apply tend to be conventional, as in the introduction of computer hardware. The learning requires teaching aids to improve students' understanding, but the limited facilities make it difficult for students to understand computer hardware. Augmented Reality technology can provide a solution by applying markers as targets to visualize computer hardware into 3D objects in the system using the Multimedia Development Life Cycle and Prototype software development methods. This method uses the black box testing method to develop multimedia software systems in testing the application. The results obtained from BlackBox testing show that all application features' functions can run well. Then usability testing with the System Usability Scale method. The data taken are 30 samples of questionnaire data that 4th-grade students have filled out. In the test obtained, the average value of SUS is 83.1. So it can interpretation that the application testing receives a grade of \"B\" with the predicate \"Excellent\", and the conclusion in the Acceptability Ranges category is \"High\", with a high range of user acceptance of the application.","PeriodicalId":354905,"journal":{"name":"INOVTEK Polbeng - Seri Informatika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125892917","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

Analisis Data Transaksi untuk Penempatan Produk Prioritas Oli Motor Menggunakan Algoritma Apriori 使用杏算法对机油优先产品定位的交易数据进行分析

INOVTEK Polbeng - Seri Informatika Pub Date : 2022-11-27 DOI: 10.35314/isi.v7i2.2684

Gigih Prima Subakti, Yessica Nataliani

引用次数: 1