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All Journal Jurnal SOLMA Indonesian Journal of Industrial Engineering & Management
Gultom, Louisa Paulina Febriana
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Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Other

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Optimalisasi Produksi Telur Asin melalui Inovasi Mesin Pencuci Telur Otomatis dan Digitalisasi Manajemen Usaha Rahma, Rana Ardila; Sugiharto, Muhammad; Debora, Fransisca; Fasa, Nadia; Wahyudin, Wahyudin; Gultom, Louisa Paulina Febriana; Edriawati, Natasya Aksani
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20865

Abstract

Background: Salted egg production is one of the processed food sectors with strong market potential but still faces efficiency challenges, particularly in the egg washing stage. SMEs Digdo Bintang Telur in North Cikarang, as the partner in this program, still relied on manual washing methods, limiting production capacity to approximately 200 eggs per day and resulting in a high rate of shell damage. This Community Service Program aims to reduce the time and labor required for egg washing, minimize shell damage through the implementation of an automatic salted egg washing machine, and introduce digitalization in bookkeeping and marketing practices. Method: The implementation methods included socialization, training, machine installation, mentoring, evaluation, and the development of digital bookkeeping and online marketing. The implemented machine was equipped with adjustable speed control, cleaning brushes, inspection lighting to assess egg quality, and an automatic counter for clean and qualified eggs. The results showed a significant improvement, with productivity increasing up to sixteenfold and the rate of shell damage decreasing by 69%. Evaluation of digital bookkeeping revealed improved record accuracy, easier transaction tracking, and faster financial summaries through the use of digital applications and QRIS-based payments. In terms of marketing, analysis of social media reach and engagement (Facebook and Instagram) indicated an increase in online purchases of up to ten orders. Conclusion: This program proved effective not only in enhancing productivity through the innovation of an automatic salted egg washing machine but also in strengthening the partner’s competitiveness through bookkeeping and marketing digitalization.
Analysis of MSME Actors' Perception in West Java Toward the Use of Artificial Intelligence (AI) as an Effort to Improve Operational Efficiency Rahma, Rana Ardila; Fasa, Nadia; Gultom, Louisa Paulina Febriana; Azhar, Haniyyah; Putri, Melodi Laora
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31854

Abstract

This study aims to analyze the perceptions of Micro, Small and Medium Enterprises (MSMEs) in West Java regarding the use of Artificial Intelligence (AI) as an effort to increase operational efficiency. The method used is quantitative research with a survey via questionnaire distributed to 100 MSME players. Data analysis includes descriptive statistics to identify the level of understanding, benefits, barriers, and expectations regarding AI adoption. The research results show that 32% of respondents have used AI, with the majority using it for sales data analysis. As many as 75% of AI users find it easy to operate the technology, and 84% state that the cost of use is relatively affordable. The main obstacle is a lack of understanding of the technology, which has led to low widespread adoption of AI. As many as 52% of respondents expressed interest in taking AI training. This research concludes that although AI provides significant benefits in increasing efficiency, technological literacy and more affordable access are needed to accelerate digital transformation in the MSME sector. Recommendations include developing AI-based training and providing technology solutions that are easier to implement. 
Co-Authors Azhar, Haniyyah Edriawati, Natasya Aksani Fasa, Nadia Fransisca Debora Putri, Melodi Laora Rahma, Rana Ardila Sugiharto, Muhammad Wahyudin Wahyudin