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All Journal Modem : Jurnal Informatika dan Sains Teknologi Jurnal Kemitraan Masyarakat
Anini Nihayah
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Public Health

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Pengembangan Usaha Produksi Celana Anak UMKM Konveksi EV_Kids Product Desa Ambokulon, Kecamatan Comal, Kabupaten Pemalang Siti Masrokhah; Tri Handayani; Rengga Kusuma Putra; Nunung Wulan Sari; Anini Nihayah; Arif Hadi Prasetyo; Akhmad Maulana Malik; Sandya Khaela Nurisma; Diana Puspitasari; Fitriana Putri Kurniawati
Jurnal Kemitraan Masyarakat Vol. 2 No. 4 (2025): Desember : Jurnal Kemitraan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/jkm.v2i4.2771

Abstract

In Indonesia, micro, small, and medium enterprises (MSMEs) have long been recognized as a very important business sector due to their various real roles in the economy. However, MSMEs often face many obstacles in running their businesses. More incentive support from various parties, especially the government, is needed for the development of MSMEs. In order to overcome the problems faced by MSMEs and support their sustainability, a KKU (Business Field Study) activity was carried out by Group 15 at the KKU-11 of the Institute of Technology and Business (ITB) Adias Pemalang at the MSME “Ev_Kids Product.”After conducting an observation phase, several problems faced by the SME were identified, including the lack of social media for marketing, failure to calculate the Cost of Goods Sold (COGS) and maintain simple accounting records, absence of a business logo, banners, promotional image designs, organizational structure, business profile, product catalog, stamps, receipt books, and product attributes. Additionally, the SME had never produced a production video or promotional video.After conducting the observation phase, KKU actors formulated several business development assistance programs, namely creating social media accounts, calculating the Cost of Goods Sold (COGS), creating simple bookkeeping, creating a business logo, banners, promotional image designs, organizational structure, business profile, product catalog, stamps, note books, and product attributes in the form of hangtags. They also created production videos and promotional videos.
Deteksi Rambu Lalu Lintas Indonesia Menggunakan Transfer Learning Anini Nihayah; Ghozi Murtadho; Ika Marlisa Raharjo
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.827

Abstract

This study aims to develop an Indonesian traffic sign detection system using a transfer learning approach to improve road safety and traffic efficiency. The dataset was obtained from Kaggle and consists of 2,100 images across 21 traffic sign classes. The research stages include data collection, preprocessing to reduce noise and normalize image brightness, object detection using YOLOv5, and classification based on transfer learning with ResNet, VGG-16, and MobileNet architectures. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the YOLOv5 model is capable of detecting traffic sign objects; however, the classification performance remains relatively low, with a mean Average Precision (mAP) value of 0.17. These findings suggest that further optimization is required in data preprocessing, dataset quality, and model parameter tuning to achieve better performance. This study demonstrates that transfer learning has significant potential for developing computer vision-based traffic sign detection systems, although further improvements are necessary to ensure robustness under real-world Indonesian traffic conditions.
Co-Authors Akhmad Maulana Malik Arif Hadi Prasetyo Fitriana Putri Kurniawati Ghozi Murtadho Ika Marlisa Raharjo Nunung Wulan Sari Nur ‘Azah Rengga Kusuma Putra Sandya Khaela Nurisma Siti Masrokhah Tri Handayani