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All Journal Dinamika Informatika InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Format : Jurnal Imiah Teknik Informatika Jurnal Pengabdian UntukMu NegeRI RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Dinamisia: Jurnal Pengabdian Kepada Masyarakat JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Dinamika Informatika (JDI) Journal of Software Engineering and Information System (SEIS) JIM ( Journal International Multidiciplinary)
Unik, Mitra
Universitas Muhammadiyah Riau
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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GAME SEJARAH UMRI SEBAGAI MEDIA PENGENALAN UMRI BERBASIS ANDROID Harun Mukhtar; Jum’atul Zikri; Mitra Unik
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 1 No. 1 (2021)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.734 KB) | DOI: 10.37859/seis.v1i1.1912

Abstract

Muhammadiyah Riau University (UMRI) is one of private University on Riau – Pekanbaru. A University which is one of the business charities of Muhammadiyah Indonesia. To maintain the historical value of UMRI requires an interesting media to keep Umri citizen in particular keep in mind the history of UMRI development. for that made an interactive game that is able to tell the history of development of UMRI. In the development of this game used MDLC as a method in the development of interactive games. For the development of this game is used Unity as Game editor. With this game the history of UMRI development can be known by the public.
Hotspots and Smoke Detection from Forest and Land Fires Using the YOLO Algorithm ( You Only Look Once ) Dicko Andrean; Mitra Unik; Yoze Rizki
JIM - Journal International Multidisciplinary Vol. 1 No. 1 (2023)
Publisher : Rumah Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jim.v1i1.410

Abstract

The term forest and land fires is used to refer to unplanned, controlled and unwanted fires that destroy vegetated areas and their ecosystems triggered by natural or human causes . Early detection of hotspots can reduce the risk of wider forest and land fires. The use of the Deep Learning YOLO ( You Only Look Once ) algorithm is carried out to detect fire and also the smoke it produces. This study tested in 3 ways, 1) 1341 after data augmentation (496 original data), 2) 608 after data augmentation (253 original data), and 3) 1790 after data augmentation (746 original data). Detection of fire and smoke objects in the form of design, implementation and testing resulted in the YOLOv4 framework successfully producing high confidence of up to 97% in the second test. Based on the test results in this study, it is known that the image datasets used for training data greatly affect object detection and affect the confidence value. The more diverse the shape of the object from the image datasets, the lower the confidence value obtained.
Co-Authors Afdhil Hafid Afdhil Hafid Apriansyah Apriansyah Baidarus Baidarus Baidarus, Muhammad Baskoro, Dhanu Baskoro, Dhanu Deden Girmansyah Dhanu Baskoro Diah Angraina Fitri Diah Angraini Putri Dicko Andrean Evans Fuad Febby Apri Wenando Harun Mukhtar Hasanuddin Hasanuddin Hasanuddin Hasanuddin, Hasanuddin, Hayami, Regiolina Januar Al Amien Januar Al Amien Januar Al Amin Jum’atul Zikri Muhammad Tantaya Nurvelly Rosanti Rahmad Firdaus Randra Aguslan Pratama Riki Harianto Royan Choiro Yahya Sandy Eka Nuggroho Soni Sri Nadriati Sunanto Sunanto Suryanto Suryanto Vicky Gema Larenda Yoze Rizki Yulia Fatma