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Embroidery Training as an Effort to Improve Economic Independence of the Elderly in Small and Medium Enterprises Named “OBAT HATI” Emmidia Djonaedi; Putra Pratama, Yoga; Nanda Kartika, Rachmah; 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
Analisis Risiko Kegagalan Menggunakan Metode FMEA pada Mesin Cetak Digital UV di PT XYZ Tri Wibowo; Novi Purnama Sari; HB Rudi Kusumantoro
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i2.5524

Abstract

This study aims to analyze the failure risks of UV digital printing machines used at PT XYZ using the Failure Mode and Effects Analysis (FMEA) method. In the digital printing industry, the continuity of machine operations heavily depends on effective maintenance to prevent downtime that could disrupt the production process. The FMEA method is employed to identify potential failure modes and evaluate the severity, occurrence, and detection of each failure. This research adopts a quantitative approach, with data collected through observations, interviews, and historical documentation. The analysis reveals that the printhead, cooling system, and UV lamp are the components with the highest Risk Priority Numbers (RPN), at 504, 441, and 288 respectively. Based on these findings, it is recommended that preventive and predictive maintenance strategies be enhanced to avoid recurring failures.