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Pelatihan Media Website Sebagai Sarana Promosi Produk UMKM Desa Sei Limbat Muhammad Zen; Chairul Rizal; Sayuti Rahman; Risko Liza; Rachmat Aulia
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 02 (2023): EDISI SEPTEMBER 2023
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/prioritas.v5i02.850

Abstract

Pengembangan UMKM Desa merupakan pendorong utama pertumbuhan ekonomi di wilayah pedesaan. UMKM Desa bertujuan untuk menghasilkan produk dengan tingkat daya saing yang tinggi, memastikan produk-produk tersebut telah memenuhi standar kualitas, pengemasan, perizinan, serta sertifikasi yang diperlukan. Salah satu produk unggulan yang telah siap untuk dipasarkan adalah gula aren, yang memiliki beberapa varian produk. Strategi pemasaran saat ini dilakukan secara tradisional, baik melalui penjualan langsung, pameran produk, maupun melalui platform pasar digital.Pengembangan UMKM yang mendapatkan bimbingan dari pemerintah desa memiliki nilai tambah yang signifikan dalam membangun kepercayaan pelanggan terhadap produk. Oleh karena itu, diperlukan solusi untuk mempromosikan produk-produk UMKM sebagai produk yang didukung secara aktif oleh Desa Sei Limbat. Dalam rangka meningkatkan keterampilan masyarakat Desa Sei Limbat, terutama generasi muda, dapat dilakukan pelatihan untuk mengembangkan media website menggunakan Content Management System (CMS) seperti Wordpress yang merupakan salah satu CMS populer saat ini. Tujuan dari pelatihan ini adalah untuk memberikan pengetahuan tambahan kepada masyarakat desa dalam bidang teknologi serta memungkinkan produk-produk yang dihasilkan untuk dipromosikan melalui platform website yang mereka bangun. Hal ini diharapkan dapat meningkatkan visibilitas dan penetrasi pasar bagi UMKM Desa Sei Limbat.
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 : LPPM 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.