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All Journal JURNAL SISTEM INFORMASI BISNIS JOIV : International Journal on Informatics Visualization Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Informasi Interaktif DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Teknik Ilmu dan Aplikasi Jurnal Pengabdian Kepada Masyarakat
Ni’ma Shoumi, Milyun
Politeknik Negeri Malang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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An Experimental Study on Deep Learning Technique Implemented on Low Specification OpenMV Cam H7 Device Asmara, Rosa Andrie; Rosiani, Ulla Delfana; Mentari, Mustika; Syulistyo, Arie Rachmad; Shoumi, Milyun Ni'ma; Astiningrum, Mungki
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2299

Abstract

This research aims to identify and recognize the OpenMV Camera H7. In this research, all tests were carried out using Deep Machine Learning and applied to several functions, including Face Recognition, Facial Expression Recognition, Detection and Calculation of the Number of Objects, and Object Depth Estimation. Face Expression Recognition was used in the Convolutional Neural Network to recognize five facial expressions: angry, happy, neutral, sad, and surprised. This allowed the use of a primary dataset with a 48MP resolution camera. Some scenarios are prepared to meet environment variability in the implementation, such as indoor and outdoor environments, with different lighting and distance. Most pre-trained models in each identification or recognition used mobileNetV2 since this model allows low computation cost and matches with low hardware specifications. The object detection and counting module compared two methods: the conventional Haar Cascade and the Deep Learning MobileNetV2 model. The training and validation process is not recommended to be carried out on OpenMV devices but on computers with high specifications. This research was trained and validated using selected primary and secondary data, with 1500 image data. The computing time required is around 5 minutes for ten epochs. On average, recognition results on OpenMV devices take around 0.3 - 2 seconds for each frame. The accuracy of the recognition results varies depending on the pre-trained model and the dataset used, but overall, the accuracy levels achieved tend to be very high, exceeding 96.6%.
Pengembangan Aplikasi Dan Pelatihan Sistem Informasi TPQ Madinah Ma’arif 10 An-Nur Kota Malang Wakhidah, Rokhimatul; Affandi, Luqman; Shoumi, Milyun Ni'ma; Kirana, Annisa Puspa; Hormansyah, Dhebys Suryani; Arief, Sofyan Noor
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 6 No 1 (2022)
Publisher : Politeknik Negeri Madiun

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Abstract

Advances in information technology have a major impact on the use of technology in various fields, one of which is education. Information technology is used as a means to simplify the teaching and learning process to the management of educational institutions. Almost all educational institutions have utilized information technology, one of which is the application of an integrated information system to handle administrative affairs of educational institutions. TPQ Madinah Ma'arif 10 An-Nur is one of the TPQ that has implemented advances in information technology. This is reflected in the use of value input information systems and the printing of student report cards. Over time, this feature has not met the needs of the management in carrying out TPQ operational activities. TPQ institutions do not yet have a system that handles the presence of students. And there is no system that handles the recording of payments
PELATIHAN PENGEMBANGAN KONTEN DIGITAL MENGGUNAKAN ALAT DESAIN BERBASIS WEB DAN MOBILE Arie Rachmad Syulistyo; Milyun Ni’ma Shoumi; Septian Enggar Sukmana; Cahya Rahmad; Ariadi Retno Tri Hayati Ririd; Anugrah Nur Rahmanto; Devi Zettyara
Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 1 (2024): JURNAL PENGABDIAN KEPADA MASYARAKAT 2024
Publisher : P3M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/abdimas.v11i1.4764

Abstract

The internet and information systems are rapidly evolving, with technology becoming increasingly sophisticated worldwide. Consequently, entrepreneurs can now offer valuable information or conduct business from the convenience of their own homes. In this context, it is expected that PKK mothers, specifically those affiliated with the PKK group RW 07 in Purwodadi Village, Blimbing District, Malang City, should seize these opportunities by utilizing digital content. The PKM Community Service Team is encouraged to offer training in digital content creation in light of advancements in information technology. The team is currently seeking web-based and mobile design tools that can be readily utilised by PKK group mothers. The digital content produced can be employed to advertise activities within the RW community or their own merchandise. Following the implementation of community service, the PKM team evaluated the PKK group with 5 questions. The PKK group deems the presented material useful and the program beneficial for enhancing their skills. Overall, the PKK group expresses satisfaction with the program's implementation. Additionally, following observations made by the PKM Team, the information we offer has been utilized to produce captivating content for broadcasting announcements on social media platforms belonging to the PKK organization.
Co-Authors Affandi, Luqman Annisa Puspa Kirana Anugrah Nur Rahmanto Ariadi Retno Tri Hayati Ririd Arie Arie Rachmad Syulistyo Banni Satria Andoko Batubulan, Kadek Suarjuna Budiprasetyo, Gunawan Devi Zettyara Dhebys Suryani Hormansyah, Dhebys Suryani Dwi Puspitasari Joni Dwi Pribadi Luqman Affandi M. Hasyim Ratsanjani Mamluatul Hani’ah Mungki Astiningrum Mustika Mentari Nurtjahjani, Fullchis Pramana Yoga Saputra Radian Malek Rayrendra Rahmad, Cahya Ratsanjani, Muhammad Hasyim Ridwan Rismanto Rifqie Muhammad Rokhimatul Wakhidah Rosa Andrie Asmara Septian Enggar Sukmana Sofyan Noor Arief Sofyan Noor Arief Ulla Delfana Rosiani