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All Journal Jurnal Informatika dan Teknik Elektro Terapan Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science
Yoga Putra Pratama
Grapics And Publishing Engineering Study Program , Politeknik Negeri Jakarta, Depok, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Education Social Sciences

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Efficient packaging defect detection: leveraging pre-trained vision models through transfer learning Wiwi Prastiwinarti; Mera Kartika Delimayanti; Hendra Kurniawan; Yoga Putra Pratama; Hanin Wendho; Rizky Adi
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i3.pp2096-2106

Abstract

The inspection of packaging defects is a crucial aspect of maintaining the quality of industrial production, especially in the case of boxed products. This study introduces a novel approach for detecting physical defects in product packaging boxes by integrating image processing with deep learning, specifically transfer learning with two images as an input. The proposed method utilizes both top view and side view images of the packaging to determine its condition, a significant departure from the conventional single image input. Our approach incorporates 16 pre-trained model variants from EfficientNetV2, MobileNetV3, and ResNetV2 for transfer learning as feature extractors. The experimental findings demonstrate that the best model that leverages EfficientNetV2 variant achieves 100% accuracy and F1 score in terms of classification performance. However, the most optimal model in terms of classification performance and inference speed was the one that leveraged ResNetV2 variant. This model scored 95% accuracy and 95.24% F1 score, with an inference speed of 91 ms per prediction.
ANALISIS DETEKSI TEPI PADA PEMINDAI DOKUMEN MENGGUNAKAN KERTAS THERMAL BERBASIS PYTHON IDE Yoga Putra Pratama; Rachmah Nanda Kartika; Pilar Febry Buwono; Muamar Abid Rabbani
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4917

Abstract

Dokumen merupakan salah satu bagian penting dalam berbagai proses, saat ini dokumen lebih banyak dalam bentuk digital dikarenakan kertas dapat mengalami penurunan kualitas seiring berjalannya waktu. Metode yang digunakan adalah metode kualitatif dengan menggunakan Bahasa pemrograman python dan sampel uji coba diberbagai kondisi dan hasil dari ujicoba ini adalah berupa deteksi tepi pada dokumen. Diharapkan hasil dari penelitian ini dapat dikembangkan dengan melakukan perbaikan kontur pada bagian gambar
Embroidery Training as an Effort to Improve Economic Independence of the Elderly in Small and Medium Enterprises Named “OBAT HATI” Emmidia Djonaedi; Yoga Putra Pratama; Rachmah Nanda Kartika; Endang Yuniatri; HB Rudi Kusumantoro; Khalyla Hafsa
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2025): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v8i1.5929

Abstract

Computerized embroidery sewing is an innovation that's relatively easy to learn and produces embroidered objects on fabric quickly and in a marketable way. This machine is ideal for seniors who still want to be productive and increase their income in their later years without having to spend too much time and effort learning to use it. Consequently, a community of seniors around Kranggan, Bekasi, who were interested in computerized embroidery sewing training was chosen. Before the training, participants were given a questionnaire to assess their prior knowledge of computerized embroidery techniques on fabric. It turned out that almost all participants had never used such a machine. As a result, during the training, when they gained new knowledge about using the embroidery machine, they were very enthusiastic about practicing and even suggested having more training sessions in the future to enhance their skills in embroidering prayer cloths and bags
Co-Authors Emmidia Djonaedi Endang Yuniatri Hanin Wendho HB Rudi Kusumantoro Hendra Kurniawan Khalyla Hafsa Mera Kartika Delimayanti Muamar Abid Rabbani Pilar Febry Buwono Rachmah Nanda Kartika Rachmah Nanda Kartika Rizky Adi Wiwi Prastiwinarti