乡村环境中机电链Saing传动指示器的确认和分类

Analisa Konfirmasi, Dan Klasifikasi, Indikator Penggerak, Daya Saing, Rantai Pasok, Umkm di, Pedesaan Sumarsono, Andhika Mayasari, Fatma Ayu, Nuning Farida Afiatna
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引用次数: 0

摘要

Abstract——作为UMKM农村竞争力的助推器,提供链驱动程序(SCD)一直是一个值得研究的话题。本研究的目的是确认和对农村环境具有竞争力的SCD进行分类。定量研究设计采用采样方法进行问卷调查。数据分析方法使用验证因子分析(CFA)获得确认模型。接下来,机器学习方法找到分类模型。研究得出结论,生产要素是农村UMKM地区最大的竞争动力。然后按照运输因素、sources、信息、设施和价格顺序。下一个结论是最高竞争力水平、中度、低分类前5个指标。其含义是通过采用这五种指标的组合策略来发展农村技术。其中包括运输路线、供应时间线、各种库存、慈善设施和供应价值的确定采购权。抽象——供应链驱动——作为农村无国界的驱动程序,这是一个需要研究的话题。这项研究旨在验证并扼杀农村MSME技术的SCD。量量研究方法用问题进行调查,采用采样方法。数据分析方法接下来,这台机器学习方法找到一个经典的模型。研究结果的结果是库存最重要的驱动因素。然后是普通的namely运输工具,sources,信息,facilities和prices。下一项结果是5个最重要的指标,来自竞争激烈、中下层、低机密级别。发展农村战略的进步是通过实施五个指标的混合策略。包括运输的路由、供应的时间、库存的变化、库存的公用设施和供应商的差额。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisa Konfirmasi dan Klasifikasi Indikator Penggerak Daya Saing Rantai Pasok UMKM di Pedesaan
Abstract— Supply chain driver (SCD) sebagai pendorong daya saing UMKM Pedesaan, menjadi topik yang perlu dikaji. Penelitian ini bertujuan untuk mengkonfirmasi dan mengklasifikasikan SCD daya saing UMKM Pedesaan. Desain penelitian kuantitatif menggunakan kuesioner dengan metode purpose sampling. Metode Analisis data menggunakan Confirmatory Factor Analysis (CFA) untuk mendapatkan model konfirmasi. Selanjutnya, metode Machine Learning untuk menemukan model klasifikasi. Hasil penelitian disimpulkan bahwa faktor inventori menjadi penggerak daya saing terbesar di UMKM pedesaan. Kemudian secara berurutan yaitu faktor transportasi, sourcing, informasi, fasilitas, dan harga. Hasil selanjutnya disimpulkan 5 indikator teratas dari klasifikasi level daya saing High, Middle, Low. Implikasinya untuk pengembangan daya saing UMKM pedesaan, yakni dengan menerapkan strategi bauran dari 5 indikator tersebut. Yang meliputi route of transportation, lead time of supplier, variation of inventories, utility of facility, dan purchase quantity of supplier. Abstract— Supply chain drivers (SCD) as a driver of the competitiveness of Rural MSMEs, is a topic that needs to be studied. This study aims to confirm and classify the SCD of Rural MSME competitiveness. Quantitative research design using a questionnaire with a purposive sampling method. Data analysis method uses Confirmatory Factor Analysis (CFA) to obtain a confirmation model. Next, the Machine Learning method for finding a classification model. The results of the study concluded that the inventory factor is the biggest driver of competitiveness in rural SMEs. Then sequentially namely transportation factors, sourcing, information, facilities, and prices. The next result concludes the top 5 indicators from the classification level of competitiveness High, Middle, Low. The implication for developing the competitiveness of rural MSMEs is by implementing a mix strategy of the 5 indicators. Which includes routes of transportation, lead time of suppliers, variation of inventories, utility of facilities, and purchase quantity of suppliers.
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