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All Journal JMM (Jurnal Masyarakat Mandiri) INTECOMS: Journal of Information Technology and Computer Science MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) Jurnal Pengabdian Al-Ikhlas JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Bulletin of Computer Science Research Bulletin of Information Technology (BIT) KOMMAS: Jurnal Pengabdian Kepada Masyarakat Prioritas : Jurnal Pengabdian Kepada Masyarakat International Conference on Sciences Development and Technology
Muhammad Zen
Universitas Pembangunan Panca Budi Medan
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Development of Student Attendance Information System at SMK Negeri 9 Medan Zen, Muhammad; Wijaya, Rian Farta; Irwan, Irwan
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The conventional attendance process takes a long time during attendance and also during recording. Absenteeism recapitulation helps teachers monitor student attendance in class. In addition, attendance recapitulation can be one of the considerations in the assessment. The information system can help the conventional attendance recapitulation process become automatic. Vocational High School (SMK) Negeri 9 is a school located in Medan City, North Sumatra. SMK Negeri 9 Medan has 5 majors with a total of 2077 students. Attendance management still uses conventional methods so it is necessary to conduct research related to the development of student attendance information systems. The methodology used in this research is problem identification, system requirement identification, data collection, system analysis and development. This study aims to facilitate the attendance process and attendance recapitulation. System development uses the Use Case Diagram model and Entity Relationship Diagram. The Use Case Diagram helps answer the functional requirements of the system desired by the school. While the Entity Relationship Diagram describes the database model. The model can be corrected to get the best results in database development.
Normalization Layer Enhancement in Convolutional Neural Network for Parking Space Classification sayuti rahman; Marwan Ramli; Arnes Sembiring; Muhammad Zen; Rahmad B.Y Syah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 3 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i3.3871

Abstract

The research problem of this study is the urgent need for real-time parking availability information to assist drivers in quickly and accurately locating available parking spaces, aiming to improve upon the accuracy not achieved by previous studies. The objective of this research is to enhance the classification accuracy of parking spaces using a Convolutional Neural Network (CNN) model, specifically by integrating an effective normalizing function into the CNN architecture. The research method employed involves the application of four distinct normalizing functions to the EfficientParkingNet, a tailored CNN architecture designed for the precise classification of parking spaces. The results indicate that the EfficientParkingNet model, when equipped with the Group Normalization function, outperforms other models using Batch Normalization, Inter-Channel Local Response Normalization, and Intra-Channel Local Response Normalization in terms of classification accuracy. Furthermore, it surpasses other similar CNN models such as mAlexnet, you only look once (Yolo)+mobilenet, and CarNet in the same classification task. This demonstrates that EfficientParkingNet with Group Normalization significantly enhances parking space classification, thus providing drivers with more reliable and accurate parking availability information.
Co-Authors , Eka Putra Agil Dwi Putra Amin, Muhammad Arnes Sembiring Arnes Sembiring Arnes Sembiring Arnes Sembiring Chairul Rizal Chairul Rizal Chairul Rizal Dodi Siregar Eka Surya Fitriani Fachri, Barany Hadi Nasbey Hendry Ilham Faisal Irwan Irwan Irwan, Irwan Kharunnisa Kharunnisa M F Verri Anggriawan M.Praja Kelana Marwan Ramli Mufida Khairani Muhammad Eka Muhammad Eka Muhammad Eka Muhammad Noor Hasan Siregar Muhammad Taufiq Rustam Munadi Munadi Nurul Hamdi Rachmat Aulia Rahayu Mayang Sari Rahmad B.Y Syah Rahmad Budi Utomo Rahman, Sayuti Rian Farta Wijaya Risko Liza Silvia Kartika Siregar, Rosyidah Siti Sundari Sri Eka Riyani Harahap Sri Wahyuni Supiyandi Supiyandi Suriati Suriati Suriati Suriati Tasya Maulariqa Insani Wijaya, Rian Farta