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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Pekommas Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi dan Sistem Komputer Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat IJID (International Journal on Informatics for Development) Jurnal Penelitian Pers dan Komunikasi Pembangunan JISKa (Jurnal Informatika Sunan Kalijaga) Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik International Journal of Health Science and Technology Teknomatika: Jurnal Informatika dan Komputer

Adri Priadana

Universitas Jenderal Achmad Yani Yogyakarta

Author-ID : 619555

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health

Published : 23 Documents Claim Missing Document

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Implementation and Performance Analysis of Private Cloud Using Openstack Swift and Rclone Aditama, Candra; Priadana, Adri
Compiler Vol 8, No 1 (2019): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Many companies need a storage system that can be accessed in real time by all parts of the company. Most digital data storage methods today still use conventional methods where data is stored on an external hard disk or public cloud. Storage with external hard disk media makes accessing data difficult and has the risk of data loss when storage media is damaged. On the other hand, the storage method using public cloud requires an internet connection with large bandwidth requirements and the company still has to spend a budget on renting it. This study aims to design digital data storage methods using a private cloud that can be accessed in real time by all parts of the company without having to spend a budget on hiring a storage media and renting an internet connection with large bandwidth requirements. A private cloud was built using OpenStack Swift as an object storage service provider and Rclone as a cross-platform computer data management application. The results of this study are the creation of a private cloud that runs object storage services using Swift storage objects with relatively light and high scalability to meet the needs of storing data effectively and efficiently. A private cloud-based data storage media with relatively light and high scalability to meet data storage needs. Data storage media that can be accessed easily without having to use an internet connection with large bandwidth requirements.

Performance Analysis of Illumination Invariant Change Detection Method for Detecting Image Change in Night Vision Camera Priadana, Adri
Compiler Vol 8, No 2 (2019): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

At present, the use of video cameras is not only limited to documenting events but is also used for surveillance systems. Changes in lighting that occur in the surveillance area is one of the problems that result in a false alarm on the surveillance system. Illumination Invariant Change Detection is a method for detecting image changes on images. This study aims to determine the performance of the Illumination Invariant Change Detection method to detect image changes in night vision surveillance cameras. The Illumination Invariant Change Detection method does not work well for detecting image changes on a night vision camera under dark lighting conditions at an average value of Lux 0 with an infrared lamp on. The accuracy of the application of the method to detect image changes on night vision cameras is 80% with the selection of the threshold value of the detection of image changes that is 75000 pixels.

Analysis of web scraping techniques to get keywords suggestion and allintitle automatically from Google Search Engines Aris Wahyu Murdiyanto; Aris Wahyu Murdiyanto; Adri Priadana
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Keyword research is one of the essential activities in Search Engine Optimization (SEO). One of the techniques in doing keyword research is to find out how many articles titles on a website indexed by the Google search engine contain a particular keyword or so-called "allintitle". Moreover, search engines are also able to provide keywords suggestion. Getting keywords suggestions and allintitle will not be effective, efficient, and economical if done manually for relatively extensive keyword research. It will take a long time to decide whether a keyword is needed to be optimized. Based on these problems, this study aimed to analyze the implementation of the web scraping technique to get relevant keyword suggestions from the Google search engine and the number of "allintitle" that are owned automatically. The data used as an experiment in this test consists of ten keywords, which each keyword would generate a maximum of ten keywords suggestion. Therefore, from ten keywords, it will produce at most 100 keywords suggestions and the number of allintitles. Based on the evaluation result, we got an accuracy of 100%. It indicated that the technique could be applied to get keywords suggestions and allintitle from Google search engines with outstanding accuracy values.

Co-Authors Aditama, Candra Ahmad Irfan Abdullah Al Badawi, M. Abu Amar Arif Himawan, Arif Aris Wahyu Murdiyanto Bayu Saputra, Andika Da Costa, Jonia Nova Dwi Sandi Yulianto Eko Dwi Nugroho Eko Dwi Nugroho Fajar Syahruddin Ferry Wahyu Wibowo Jonia Nova Da Costa Kusumaningtyas, Kartikadyota M. Abu Amar Al Badawi Moch. Adji Prasetyo Muhajir Muhajir Muhammad Habibi Muhammad Rifqi Ma'arif Murdiyanto, Aris Pradnya Dhuhita, Windha Mega Prasetyo, Moch. Adji Puji Winar Cahyo Rendi Virgian Fajaryantoro Rifqi Ma’arif, Muhammad Rizal, Ahmad Ashril Saputra, Andika Bayu Syahrir Nawir Nur Syahruddin, Fajar Triharseno, Wejo

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