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All Journal Jurnal Informatika Theorems (The Original Research of Mathematics) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Mantik Diklat Review : Jurnal manajemen pendidikan dan pelatihan JURNAL MAHAJANA INFORMASI Community Development Journal: Jurnal Pengabdian Masyarakat Altruis: Journal of Community Services Jurnal UNITEK Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) J-COSCIS : Journal of Computer Science Community Service ABDINE Jurnal Pengabdian Masyarakat Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Teknologi Komputer dan Informasi Journal of Informatics and Computing Jurnal Pengabdian kepada Masyarakat (Nadimas) Smart Dedication: Jurnal Pengabdian Masyarakat
Sellyana, Ari
Unknown Affiliation
Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Journal : Jurnal Mantik

 1 
The implementation of augmented reality of promotional media in daihatsu dealers Tri Handayani; Rihayes; Tri Yuliati; Ari Sellyana
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3597

Abstract

Some companies make product offers or promotions that aim to improve the quality and attractiveness of their products and increase consumer attractiveness. Daihatsu Duri car dealership is one of them. Augmented reality (AR) is one of the media used for product marketing. This research is how to use Augmented Reality to promote Daihatsu dealers and display 3D objects of Rocky Daihatsu cars on mobile markers as promotional media. The results of this study indicate that in the menu display experiment, one menu that was not displayed successfully was to select zoom. Testing on markers can be tested properly. For remote experiments, at a distance of 60 cm it can be detected, but not consistently. Meanwhile, light testing shows that the ambient light type of ARCamera Light is a bit dark, and markers are not detected properly. A stable internet connection is required to use this app, and lighting is also very important as AR cameras cannot detect markers in low light, so they cannot display 3D objects automatically.%MCEPASTEBIN%
Enhancing road safety: machine learning-based driver drowsiness detection Ari Sellyana; Juni S Juni S
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4468

Abstract

Cars are a means of land transportation commonly used by humans. With cars, human activities can become more efficient and save time, especially when traveling. When driving a car, drivers must have a high level of focus and must obey the rules and prioritize safety when driving. A traffic accident is an unexpected and unintentional event involving vehicles or road users. The negative impacts of traffic accidents such as material loss, illness and death can affect the level of public health, vehicle factors and environmental factors. Of the several factors that cause accidents above, accidents are caused by humans. Accidents that occur are greatly influenced by the condition of the vehicle driver. Driver fatigue shows that sleepy drivers are the cause of road accidents. This research will develop a machine learning model to detect drowsiness in car drivers. The model will detect the driver's eyelid image and yawn condition. The data used is driver images which are collected and then processed using machine learning. The results of the study provide an overview of the level of drowsiness of car drivers.
Co-Authors Adelia Alfama Zamista Adelia Alfama Zamista Ahmad Nasa'i Alip Pratama Amallia Anisa Rahmawati Ariadi, Arvan Arvan Ariadi Burelia, Ulfhi Dewi, Nurul Olivia Gellysa Urva Hanifatul Rahmi Jihan Viyona jihan jihan, Jihan Viyona Juni S Juni S Juni Saputra Karpen Khairijal, Khairijal Kirawan, Hari Merina Pratiwi Mustazihim Suhaidi Mustazzihim Suhaidi Nugraha, Irvantri Nugraha, Nur Budi Nur Budi Nugraha Nur Budi Nugraha Nur Budi Nugraha Nur Budi Nugraha Odilia Yulyana Dani Rahmi, Hanifatul Rihayes Sarah Zulvianty Sarah Zulvianty Savira, Firda Suhaidi, Mustahzzihim Suhaidi, Mustazihim Suhaidi, Mustazzihim Syahputra, Bayu Tri - Handayani Tri - Yuliati Tri Handayani Tri Handayani Tri Handayani Tri Yuliati Vina Sufenti Welly Desriyati Widia Tri Wulandari Wulan Dari, Puji Yuliati, Tri Yuliati, Tri Yusrina Ruzana Yusrina Yusrina, Yusrina Ruzana Zam Zami