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All Journal MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Indonesian Journal of Electrical Engineering and Computer Science
Trisnojuwono, Adi
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Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Improving the MSMEs data quality assurance comprehensive framework with deep learning technique Sadikin, Mujiono; Katidjan, Purwanto S.; Dwiyanto, Arif Rifai; Nurfiyah, Nurfiyah; Pratama Yusuf, Ajif Yunizar; Trisnojuwono, Adi
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp613-626

Abstract

In the year of 2022 the ministry of cooperatives and small and medium enterprises (SMEs) executed a complete data collection program for the cooperatives and micro small and medium enterprises (MSMEs) profile. As the complexity of the process and the uniqueness of the data characteristics, plenty of risks must be mitigated. The most challenging risk is the possibility of reduced data quality. This study is performed to validate the proposed comprehensive framework to ensure the quality data of cooperatives and MSME. The proposed framework aims to prevent, detect, repair, and recover dirty data to achieve the required data quality minimum standard. We investigated many techniques namely rule-based, selection-based, and deep learning-based. By applying the framework, 6,850,000 missing values are found and corrected, whereas the number of instant data containing attribute values that do not follow the domain constraints or integrity rule is 4,082,630. The first deep learning task applied in the framework is MSME activity image description (image captioning) generated by the convolutional neural network-recurrent neural network (CNN-RNN) model. By using 1000 MSME images as data training, the model’s performance is quite good, achieving the average BLEU score of Culinary 0,3149, Fashion 0,4868, and creative products 0,5086. So far, the proposed framework can contribute to supporting MSME one data as the Indonesian government program.
Analisis Strategi Pembiayaan Usaha Mikro dan Kecil Melalui Dana Bergulir pada Lembaga Pengelola Dana Bergulir Trisnojuwono, Adi; Hubeis, Aida Vitayala S; Cahyadi, Eko Ruddy
MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Vol. 12 No. 2 (2017): Manajemen IKM
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.245 KB) | DOI: 10.29244/mikm.12.2.178-186

Abstract

The Ministry of Cooperatives and SMEs established a Revolving Fund Management Institution for the Micro, Small and Medium Enterprises (LPDB-KUMKM) in order to realize the mandate of Law No. 20 of 2008, with the aim of managing and developing revolving funds for the Micro, Small and Medium Enterprises professionally and accountably. The increasing number of Revolving Fund distribution services and the decreasing level of loan classification in the current category encouraged the need to evaluate loan or financing distribution through (1) analysis of factors affecting LPDB-KUMKM revolving fund performance and (2) to formulate effective strategies to improve the performance of revolving fund for the Micro, Small and Medium Enterprises. The method used in this research are, descriptive analysis, logistic regression analysis and AHP. The analysis result shows the significant factors that influence the performance of the revolving fund efficiency are financing schemes (conventional or syariah schemes), loan plafond and business establishment period. The proposed strategies that can be considered in improving LPDB-KUMKM's performance take into account the increasing effectiveness of loan or financing disbursement, which includes loan or financing channels and factors that significantly influence the success of return.
Co-Authors Aida Vitayala S Hubeis Arif Rifai Dwiyanto Eko Ruddy Cahyadi Mujiono Sadikin Nurfiyah Pratama Yusuf, Ajif Yunizar Purwanto S. Katidjan, Purwanto S.