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Advanced content-based retrieval for digital correspondence documents with ontology classification Rifiana Arief; Suryarini Widodo; Ary Bima Kurniawan; Hustinawaty Hustinawaty; Faisal Arkan
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3376

Abstract

The growth of digital correspondence documents with various types, different naming rules, and no sufficient search system complicates the search process with certain content, especially if there are unclassified documents, the search becomes inaccurate and takes a long time. This research proposed archiving method with automatic hierarchical classification and the content-based search method which displays ontology classification information as the solution to the content-based search problems. The method consists of preprocessing (creation of automatic hierarchical classification model using a combination of convolutional neural network (CNN) and regular expression method), archiving (document archiving with automatic classification), and retrieval (content-based search by displaying ontology relationships from the document classification). The archiving of 100 documents using the automatic hierarchical classification was found to be 79% accurate as indicated by the 99% accuracy for CNN and 80% for Regex. Moreover, the search results for classified content-based documents through the display of ontology relationships were discovered to be 100% accurate. This research succeeded in improving the quality of search results for digital correspondence documents as indicated by its higher specificity, accuracy, and speed compared to conventional methods based on file names, annotations, and unclassified content.
Application of Electronic Learning by Utilizing Virtual Reality (VR) and Augmented Reality (AR) Methods in Natural Sciences Subjects (IPA) in Elementary School Students Grade 3 Risan Putra Anggara; Purnawarman Musa; Sri Lestari; Suryarini Widodo
JTP - Jurnal Teknologi Pendidikan Vol 23 No 1 (2021): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v23i1.20203

Abstract

Corona Virus Disease 2019 (Covid-19) has stopped all aspects of human life, including the world of education. The Ministry of Education of the Republic of Indonesia has stopped face-to-face teaching and learning activities in schools, replacing them with online methods. Work from Home (WFH) is an adaptation of activities as applied online methods to anticipate learning activities during the Covid-19 Pandemic. Learning based on digital transformation technology utilizes network technology entirely online. The application of e-learning technology in the teaching and learning process is a choice for various educational institutions. The use of technology can maximize students 'learning time efficiency and increase students' concentration. Learning with the Virtual Reality (VR) method directs students to discoveries, motivates, encourages, and provides more curiosity for students in learning. Besides VR, Augmented Reality (AR) is a learning method for students to interact with virtual objects and real objects. The author proposes e-learning based learning in Natural Sciences (IPA) subjects in grade 3 in Elementary Schools. The research proposal develops lessons using a virtual approach from real events and provides phenomena of natural occurrences. Science lessons in Elementary Schools increase the curiosity of students scientifically. This method will help students develop the ability to ask questions and find answers to natural phenomena. The research stages carried out in application development are analysis, design, implementation, and application testing. The test results by adding e-learning to traditional learning methods impacted students' understanding of the material with an increased level of understanding by 24%.
Implementation of Docker Swarm on A Mariadb Database Clustered with Galera Clusters on More than One Host (Multi Host) Rifqy Adli Damhuri*; Suryarini Widodo
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 4 (2023): Agustus, Social Religious, History of low, Social Econmic and Humanities
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i4.26482

Abstract

The Covid-19 pandemic in Indonesia, which began in 2019, has had an impact on all levels of society. With this pandemic occurring, the Indonesian government made several policies with the aim of stopping the spread of the Covid-19 virus. One form of policy that is carried out is by imposing a system of Imposing Restrictions on Community Activities (PPKM), to prevent the spread of the virus through physical contact. The existence of this PPKM is one of the drivers of digitization in almost all sectors. This transformation in the digital world must be facilitated with qualified infrastructure. One example of important infrastructure needed to support digital transformation is a server and to be specific is a database server. To improve and optimize the performance of the server, system development is carried out using docker swarm on a mariadb database clustered with galera clusters on more than one host (multi host) that can be done by installing ubuntu and docker, swarm initialization, create overlay network, pull galera image, create cluster service, Prometheus and grafana installation and configuration, test integeration on database, and monitoring server. All cpu usage percentage from monitoring results show the percentage not reach 100% which means there are no overload and overworked.
Analysis of Speed and Connection When Accessing Information in Database Muhammad Guruh Ajinugroho; Tubagus Maulana Kusuma; Suryarini Widodo
J I M P - Jurnal Informatika Merdeka Pasuruan Vol 8, No 1 (2023): MARET 2023
Publisher : Fakultas Teknologi Informasi Universitas Merdeka Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51213/jimp.v8i1.783

Abstract

Animality Vetama is a pet store and clinic that has implemented an integrated management system which consist of several interconnected applications and a database across branches. Several branches complained about performances. Several factors was analyzed by the developer, resulting in a hypothesized that the problem was caused by connectivity issues on specific internet provider dubbed “provider X”. Said problem is suspected to lies within the TCP port because it only occurs when accessing the system but not when doing other things like browsing. Client application connects to the database using MySQL direct connection. To prove this case, a study using purposive sampling quota approach was proposed to determine what makes a problematic provider. This approach was then followed by a simulation for each criteria by doing a test connection to the database using the existing method and a proposed method using webservice. The simulation were focused on average connection durations as well as success and failed ratio. The result shown that in general, connecting to the database using webservice is a lot time faster than connecting client directly regardless of the provider. The success ratio is also increased significantly
Implementation of Docker Swarm on A Mariadb Database Clustered with Galera Clusters on More than One Host (Multi Host) Rifqy Adli Damhuri*; Suryarini Widodo
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 4 (2023): Agustus, Social Religious, History of low, Social Econmic and Humanities
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i4.26482

Abstract

The Covid-19 pandemic in Indonesia, which began in 2019, has had an impact on all levels of society. With this pandemic occurring, the Indonesian government made several policies with the aim of stopping the spread of the Covid-19 virus. One form of policy that is carried out is by imposing a system of Imposing Restrictions on Community Activities (PPKM), to prevent the spread of the virus through physical contact. The existence of this PPKM is one of the drivers of digitization in almost all sectors. This transformation in the digital world must be facilitated with qualified infrastructure. One example of important infrastructure needed to support digital transformation is a server and to be specific is a database server. To improve and optimize the performance of the server, system development is carried out using docker swarm on a mariadb database clustered with galera clusters on more than one host (multi host) that can be done by installing ubuntu and docker, swarm initialization, create overlay network, pull galera image, create cluster service, Prometheus and grafana installation and configuration, test integeration on database, and monitoring server. All cpu usage percentage from monitoring results show the percentage not reach 100% which means there are no overload and overworked.