Journal
Transformation of Indonesian Migrant Workers’ Microenterprises in Kuala Lumpur: Implementation of Standard Operating Procedures and Quality Control as A Strategy to Improve Product Competitiveness
Indonesian Journal of Devotion and Empowerment · Vol. 1 No. 1 (2025) · pp. 1–8
- ISSN
- 2721-2645, 2827-7724
- Published
- 2025-12-06
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
This community engagement program aimed to enhance the capacity of Indonesian migrant workers’ microenterprises in Kuala Lumpur through training and implementation of Standard Operating Procedures (SOP) and Quality Control (QC). Based on a preliminary survey, most business owners lacked fundamental skills in production management and quality control, resulting in inconsistent product quality. The program was conducted on May 18, 2025, involving 35 microenterprise participants. Activities included theoretical training and practical simulations on SOP development and QC application. Evaluation was carried out through pre-tests and post-tests, which revealed a significant improvement in the participants' average score from 45.25 to 83.75, with the most notable increase observed in the ability to draft QC guidelines. The results demonstrated that the application of SOP and QC can effectively improve product consistency, quality, and competitiveness. However, challenges remained in the implementation process, such as time constraints, limited equipment, and low technical literacy. Therefore, follow-up strategies such as ongoing mentorship, the use of visual SOPs, and the establishment of peer learning communities are essential to ensure sustainability.
Keywords
Collaboration network of the authors
40 authors · 78 co-authorship links · 2 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Diponegoro University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Muhammad Feriady | Affiliation unknown | 5 |
| Nana Kariada Tri Martuti | State University of Semarang | 3 |
| Saringatun Mudrikah | Affiliation unknown | 3 |
| Kardoyo Kardoyo | Affiliation unknown | 3 |
| Wahid Akhsin Budi Nur Sidiq | State University of Semarang | 2 |
| Ahmad Nurkhin | Affiliation unknown | 2 |
| Dwi Puji Astuti | Affiliation unknown | 2 |
| Kardoyo | Affiliation unknown | 2 |
| Dhita Prasisca Mutiatari | State University of Semarang | 1 |
| Margunani Margunani | State University of Semarang | 1 |
| Saringatun Mudrikah | State University of Semarang | 1 |
| Lola Kurnia Pitaloka | State University of Semarang | 1 |
| Margunani | Affiliation unknown | 1 |
| Ahmad Sehabuddin | State University of Semarang | 1 |
| Rossi Prabowo | Diponegoro University | 1 |
| Muh. Sholeh | Affiliation unknown | 1 |
| Khasan Setiaji | Affiliation unknown | 1 |
| Nuriyah Khasanah | Affiliation unknown | 1 |
| Indri Murniawaty | Affiliation unknown | 1 |
| Nurul Aisah Lancar Sari | Affiliation unknown | 1 |
| Dwi Fiska Falisah | Affiliation unknown | 1 |
| Dhita Pracisca Mutiatari | Affiliation unknown | 1 |
| Nasir Nayam | Affiliation unknown | 1 |
| Yulhendri Yulhendri | Affiliation unknown | 1 |
| Jean Elikal Marna | Affiliation unknown | 1 |
| Weni Softazia | Affiliation unknown | 1 |
| Jamaludin | Affiliation unknown | 1 |
| Kardiyem | Affiliation unknown | 1 |
| Rediana Setiyani | Affiliation unknown | 1 |
| Tata Cahyasari Kardiana | Affiliation unknown | 1 |
| Siti Nur Syairotun Nafiah | Affiliation unknown | 1 |
| Ermila Firas Nani | Affiliation unknown | 1 |
| Fitri Andriani Setyowati | Affiliation unknown | 1 |
| Suprapti Suprapti | Affiliation unknown | 1 |
| Evita Septiana Tyas Utami | Affiliation unknown | 1 |
| Retno Purwati | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.