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All Journal CYCLOTRON International Journal of Educational Review, Law And Social Sciences (IJERLAS)
Galih Putra Riatma
Politeknik Negeri Malang
Religion Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Pemodelan Propagasi Kebakaran di Ruang Tertutup Menggunakan Multiple State Variables Cellular Automata Galih Putra Riatma
CYCLOTRON Vol 5, No 2 (2022): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (610.392 KB) | DOI: 10.30651/cl.v5i2.13039

Abstract

Pemodelan perambatan api merupakan studi yang menarik namun menantang, dan sering dibahas dalam banyak literatur. Api adalah fenomena alam yang terjadi dalam kehidupan kita sehari-hari, karakteristiknya yang mudah menyulut memiliki peran penting dalam banyak kasus. Dari sekadar efek visual hingga peristiwa penting dalam penceritaan utama. Pentingnya api dan bagaimana penyebarannya dalam kehidupan sehari-hari mempengaruhi proses pengembangan permainan di mana api dapat muncul dan menyebar, menyebabkan kehancuran. Api memiliki pola penyebaran yang dapat didasarkan pada bahan yang disulut dan berapa lama api menyala sejak titik api pertama kali muncul. Dengan implikasi yang benar, pola perambatan api dapat disimulasikan dan diterapkan pada sebuah game untuk berkontribusi pada aspek realisme dan imersi dari setiap game. Cellular Automata didasarkan pada prinsip di mana suatu wilayah atau area dibagi menjadi dua sel dimensi di mana setiap sel memiliki atribut yang unik. Setiap sel dapat mempengaruhi sel lain mengingat sel tersebut bertetangga satu sama lain. Prinsip ini sebanding dengan termodinamika di mana panas atau dalam hal ini api hanya dapat menyebar ke area di sebelah bara. Mengingat Health Point di setiap sel, simulasi kebakaran dapat dibuat dan dimodifikasi sesuai dengan itu.
DEVELOPMENT OF A PRESENCE SYSTEM WITH FACE RECOGNITION INTEGRATED WITH ONLINE APPLICATIONS USING DEEP LEARNING METHODS TO EXPAND THE TEACHING AND LEARNING PROCESS AT SMKN 9 MALANG Fullchis Nurtjahjani; Galih Putra Riatma; Kadek Suarjuna Batubulan; Ane Fany Novitasari
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 4 No. 5 (2024)
Publisher : CV. RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v4i5.1958

Abstract

Attendance systems are needed in various fields such as companies, government agencies, educational agencies, and others. Especially for educational institutions, the attendance system functions to control or determine the presence of students, teaching staff, and educational staff. SMKN 9 Malang City is an educational institution that has the obligation and role to equip its graduates with life skills in an integrative manner, which combines generic and specific potential to solve and overcome life's problems. This school has 5 expertise concentrations from which students can choose. In measuring the presence of the academic community, SMKN 9 Malang City uses an attendance system that includes Finger (for students and PTT and GTT) and the application from the East Java Province BKD e-Presence ASN. However, in its use several weaknesses were found that prevented the application from running efficiently, these weaknesses were 1) the number of locations, 2) a large number of students, 3) Time was less effective because the ratio between tools and students was still not ideal, 4) Sometimes some students have to try several times for less sensitive fingerprints, 5) Not connected with parents so that the school, the students' guardians/committee collaborate in monitoring their son. To follow up on problems with the attendance system used, schools need a more effective and efficient attendance system, namely by using Face Recognition Integrated with Online Applications Using Deep Learning Methods. The system created can make attendance easier for students, teaching staff, and educational staff. It is hoped that this system can improve student discipline and make it easier to monitor the performance of teaching staff and educational staff. Keywords: Face Recognition, Deep Learning, Attendance
Co-Authors Ane Fany Novitasari Batubulan, Kadek Suarjuna Nurtjahjani, Fullchis