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All Journal Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization
Wibowo, Angga Wahyu
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Computer Science & IT Electrical & Electronics Engineering

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Sistem Penghitung Jumlah Orang Menggunakan Metode SSD-MobileNet dan Centroid Tracking Thohari, Afandi Nur Aziz; Karima, Aisyatul; Wibowo, Angga Wahyu; Santoso, Kuwat
Jurnal Teknologi dan Sistem Komputer Volume 10, Issue 2, Year 2022 (April 2022)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2022.14213

Abstract

Salah satu penerapan kecerdasan buatan untuk mencegah penyebaran virus corona adalah dengan membuat sistem penghitung jumlah orang otomatis untuk mencegah kerumunan di dalam ruangan. Penelitian ini membahas mengenai pembuatan prototipe sistem penghitung jumlah orang menggunakan algoritma deep learning pada single board computer. Tujuan dari penelitian ini adalah untuk menghitung jumlah orang dalam suatu ruangan agar okupansi ruangan dapat ditekan. Kontribusi dari penelitian ini adalah mengkombinasikan dua metode visi komputer yaitu SSD-MobileNet untuk identifikasi objek orang dan centroid tracking untuk menghitung jumlah orang. Berdasarkan pengujian yang telah dilakukan menunjukan bahwa sistem telah dapat menghitung objek orang dengan akurasi 100% apabila jumlah orang yang memasuki ruangan berjumlah satu, dua, atau tiga secara bersama-sama. Kemudian sistem dapat mendeteksi objek dengan jarak maksimal 10 meter dan intensitas cahaya redup atau kurang dari 100 lux. Pada pengujian komputasi menunjukan bahwa sistem dapat memproses video dengan jumlah frame 30 fps dan kualitas video high definition (HD).
(PANDEMIC Covid-19): A Shooter Game for Education - the Impact Measurement of War Games on Virus Eradication Lessons for Students Wibowo, Angga Wahyu; Karima, Aisyatul; Thohari, Afandi Nur Aziz; Santoso, Kuwat; Sato-Shimokawara, Eri
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1167

Abstract

(PANDEMIC Covid-19) is an educational shooter game inspired by the Covid-19 pandemic which occurred from the end of 2019 until early 2022. There are 2 game modes, namely Third-Person Shooter, or TPS, and First-Person Shooter, or FPS. This study was carried out to highlight the absence of a shooter genre game used in the student learning process. The research methodology in the development of this game applied the pressman method, and the stages include planning, analysis, game development and artificial intelligence, implementation, as well as  evaluation. Furthermore, the testing phase used software testing techniques based on the ISO 9126 standard and involved a total of 100 participants. The age range was between 17 and 20 years, while the participants' gender percentages were 55% male and 45% female. Some of the factors tested include functionality, reliability, portability, usability, efficiency, and maintainability. There were 2 choices only in this test, i.e. agree and disagree. The functionality factor had an agreed rate of 85%; reliability 79%, portability 86%, usability 83%, efficiency 79%, and maintainability 87%. Therefore, it was concluded that this game is suitable for use in student learning in the shooter genre. Furthermore, this research was inspired because shooter games have not been developed for the student learning process. This game genre is currently used for hobbies and for profit by developers and professional players. Further research should develop game levels, enable features to play online together with other users, and should be extended to Android and IOS. 
Co-Authors Afandi Nur Aziz Thohari, Afandi Nur Aziz Aisyatul Karima Santoso, Kuwat Sato-Shimokawara, Eri