The Impact of the Omnibus Low Cipta Kerja on the Sustainability of MSMEs and Economic Growth by Applying the Canvas Model Business Method and the Use of Financial Technology, Especially Crowdfunding and Microfinance
Notice bibliographique
Résumé
The purpose of this study is to find out the impact of the omnibus low cipta kerja on the sustainability of MSMEs and economic growth by applying the canvas model business method and the use of technology financial capital, especially Croudfunding and microfinance.The role of financial technology, especially in crowdfunding and microfinance, has an important role in improving the performance of MSMEs and will affect the increasing economy, when the Covid-19 Pandemic hit in Indonesia creating uncertainty in almost all aspects of life, especially the economy.To restore and maintain economic activity still running well, the government issued several policies One of which is maintaining the investment climate in Indonesia by omnibus low cipta kerja, the government provides ease, speed, certainty, and efficiency in business for entrepreneurs.Technology finance especially Crowdfunding and microfinance offer easy access to capital which is expected to help MSMEs to immediately contribute to increasing growth economy through MSME activities that have an impact on reducing unemployment, it is hoped that MSMEs can use the Business Model Canvas to survive because it can make actors MSMEs can capture potential business opportunities that can be taken.The enactment of Law Number 11 of 2020 omnibus low cipta kerja (Ciptaker Law) can provide The advantage for Micro, Small and Medium Enterprises (MSMEs) that a single license is related to MSMEs, for example, home industry licensing (PIRT) is made easier by (1) granting permits one door, (2) Provide incentives & facilities for medium and large businesses partnering with MSEs, (3) Integrated Management of MSMEs, namely by providing opportunities for local agencies involved in empowering MSMEs, (4) Ease and financing of fiscal incentives namely providing convenience and financing to improve the economy, (5) providing the government prioritizes the special Allocation Fund for the development of MSMEs, (6) provides Legal assistance and protection, (7) MSE products are prioritized for government service provision, (8) Partnership with MSMEs, (9) provides convenience for cooperatives.This research uses a Mix Method research approach is a combination of quantitative with a combination of qualitative.Using the combined method is expected to be able to complement each other from the research questions there has been.Quantitative emphasizes the technical analysis of statistical tests so that the data is more accurate Qualitative techniques emphasize process analysis of the inductive thinking process that is related to the dynamics of the relationship between observed phenomena and always using scientific logic.Where this method is a way of formulating and interpreting existing data to provide a clear picture of how to increase Indonesia's economic growth and the performance of MSMEs by implementing the canvas business model and using crowdfunding and microfinance as an intervening variable for the Job Creation Act that provides convenience for MSMEs.Results from this research are (1) There is an increase in the performance of MSMEs and an increase in the growing economy of SMEs that use financial technology, especially in Crowdfunding and microfinance as an alternative to capital requirements through the Job Creation Act, (2) There is an increase MSME performance and increasing economic growth for MSMEs using Business The Canvas Model (BMC) in analyzing the MSME sustainability strategy through the Job Creation Law, There was an increase in the performance of MSMEs and an increase in economic growth in MSMEs that using financial technology, especially in Crowdfunding and microfinance and Business Model Canvas (BMC) through the omnibus low cipta kerja.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».