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All Journal CYCLOTRON International Journal of Educational Review, Law And Social Sciences (IJERLAS) PARADUTA : Jurnal Ekonomi dan Ilmu-Ilmu Sosial Pengabdian Pendidikan Indonesia (PPI) Jurnal Pengabdian Kepada Masyarakat
Galih Putra Riatma
Politeknik Negeri Malang
Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education 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
PEMBUATAN APLIKASI PERMAINAN SEBAGAI MEDIA PEMBELAJARAN DI SEKOLAH LUAR BIASA AUTIS Bagas Satya Dian Nugraha; Galih Putra Riatma; Satrio Binusa Suryadi; Muhammad Unggul Pamenang; Adevian Fairuz Pratama; Arief Prasetyo
Jurnal Pengabdian kepada Masyarakat Vol. 12 No. 1 (2025): JURNAL PENGABDIAN KEPADA MASYARAKAT 2025
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v12i1.6393

Abstract

SLB Autis Laboratorium UM is a school that is specifically designed to educate students with disabilities, especially autism. In the learning process, teachers often face difficulties in providing effective learning materials. This ineffectiveness is caused because the material delivered is dominated by text and verbal explanations, where students are less able to digest the information delivered using this method. Based on the results of partner observations, students tend to be more receptive to information in audio-visual form. The use of creative learning media in the form of game applications is considered to be able to provide a solution to this problem. Therefore, an educational game was designed which is expected to help improve the quality of learning and create a more interesting learning experience.
Pelatihan Penggunaan AI untuk Peningkatan Kinerja Perangkat Kelurahan Tasikmadu, Kota Malang Satrio Binusa Suryadi; Muhammad Unggul Pamenang; Galih Putra Riatma; Usman Nurhasan; Anugrah Nur Rahmanto; Moch. Zawaruddin Abdullah
Pengabdian Pendidikan Indonesia Vol. 2 No. 02 (2024): Artikel Periode Agustus 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ppi.v2i02.4802

Abstract

Kegiatan pengabdian masyarakat ini mencakup pelatihan dan praktek langsung tentang pemanfaatan kecerdasan buatan (Artificial Intelligence) untuk staf di Kelurahan Tasikmadu, Kota Malang. Pelatihan ini merupakan lanjutan dari kegiatan pengabdian masyarakat di tahun sebelumnya tentang peningkatan informasi layanan pada masyarakat melalui media Canva. Pelatihan dan praktek langsung ini bertujuan untuk meningkatkan performa staf Kelurahan Tasikmadu kota Malang dalam memberikan pelayanan pada masyarakat. Artificial Intelligence (AI) memiliki beberapa kelebihan, salah satunya efisiensi pekerjaan yang dilakukan semisal menyusun draft proposal, mengedit dan merubah foto menjadi video, atau membuat video singkat yang atraktif untuk sarana sosialisasi kegiatan dan acara di lingkungan kelurahan Tasikmadu. Pelatihan dilaksanakan selama 2 minggu, dengan agenda pembekalan materi di minggu pertama dan praktek menggunakan AI di minggu kedua. Kegiatan ini juga sejalan dengan misi peningkatan sumber daya manusia di lingkungan kelurahan Tasikmadu untuk mengintegrasikan teknologi yang mendukung dan memudahkan pekerjaan administrasi staf. Sehingga pelatihan pemanfaatan kecerdasan buatan (AI) ini bisa meningkatkan pengetahuan staf kelurahan Tasikmadu untuk meningkatkan performa kerja mereka.
Strategi Penguatan Ecopreneurship pada UMKM Fashion Berkelanjutan (Studi Kasus Aeleen Ecoprint Malang) Didit Jefry Andyanto; Galih Putra Riatma; Yoan Santosa Putra; Affan Afian
Paraduta : Jurnal Ekonomi dan Ilmu-Ilmu Sosial Vol 4 No 3 (2026): Oktober
Publisher : Universitas Madako Tolitoli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56630/paraduta.v4i3.1716

Abstract

This study analyzes the implementation of the ecopreneurship concept at Aeleen Ecoprint MSME in Malang, identifies internal and external factors influencing business development, examines various constraints faced, and formulates ecopreneurship strengthening strategies to enhance business competitiveness and sustainability. Using a qualitative approach with a case study design, data were collected through participatory observation, in-depth interviews, documentation, and a literature review. The data were then analyzed using the Miles, Huberman, and Saldana interactive model combined with a SWOT analysis. The findings indicate that Aeleen Ecoprint has successfully applied ecopreneurship principles by using natural raw materials, adopting zero-waste waste management practices, and developing eco-friendly sustainable fashion products that deliver economic value. Nevertheless, the business still faces challenges, including production capacity limitations, sub-optimal digital marketing, and market competition. To address these issues, the recommended strengthening strategies comprise product innovation, digital transformation, human resource competency enhancement, and multi-stakeholder collaboration to foster sustainable business growth.
Co-Authors Adevian Fairuz Pratama Affan Afian Ane Fany Novitasari Anugrah Nur Rahmanto Arief Prasetyo Bagas Satya Dian Nugraha Batubulan, Kadek Suarjuna Didit Jefry Andyanto Moch Zawaruddin Abdullah Nurtjahjani, Fullchis Pamenang, Muhammad Unggul Satrio Binusa Suryadi Usman Nurhasan Yoan Santosa Putra