Village-owned enterprises (BUMDesa) and Small and Medium Enterprises (SMEs) are enabled to strengthen the rural economy. The two entities shall collaborate and will help the rural economy become more adaptive and sustainable. One approach to collaborate is using digital technology, such as web applications. It will allow businesses to survive by gaining potential networking and cross-border markets through online marketing. This collaboration can be done using a digital technology approach where both roles are needed to improve the village economy. If this technological approach is not implemented, then marketing will be limited so that it will have an impact on the village economy. The qualitative and scrum approach is used to develop the digital web. The result shows differences between BUMDesa and SMEs' roles toward the web application. BUMDesa can make better managerial through digital businesses so that BUMDesa can accelerate SMEs' productivity by opening new markets and business perspectives to SMEs. The testing process is carried out to prevent the failure of website development by implementing a usability test, namely the Usability Scale (SUS) System. The tests carried out show that the proposed design gets a good score of 69.63, so it is effective and efficient to be implemented in website development. SMEs can gain a broader market, improve their production standard, and add production capacities. The collaboration will map and profile their strengths and weaknesses to minimize the implementation gap. In addition, the BUMDesa and SMEs will invest in social capital, which means the ability to establish cooperation, trust, and participation, in the local community to benefit from the social network. It will improve innovation capability
This study aims to determine the impact of Indonesian government policies on the supply chain resilience of the ferronickel industry in Indonesia. The existing problem is that the law prohibits nickel ore exports, and the policy of industrial downstream causes delays in the process of nickel processing. The problems happen because Indonesia's nickel industry is still incapable of downstream. As a result, the nickel supply chain faces dynamic and complex events that can disrupt operational activities. At the same time, supply chains need to withstand and recover from disruptions quickly. Therefore, Supply Chain Resilience, which is the ability to survive, adapt, and recover from disruptions to meet customer needs, is needed. This study uses system dynamics to analyze complex and dynamic systems to provide more practical policy advice. The system dynamics model starts by building a conceptual model through a system diagram. Inside the model is a causal loop diagram, then proceeds with developing a quantitative stock flow diagram (SFD) model. Finally, this SFD model operated with several scenarios used as policy suggestions for the Indonesian government.
CV E merupakan salah satu Usahan Mikro Kecil Menengah (UMKM) yang bergerak di bidang produksi garment/konveksi dengan jenis produk yang dihasilkan adalah kaos, jaket, dan kemeja. Produktivitas yang belum optimal serta ketidakseimbangan lini produksi menjadi permasalahan utama yang dihadapi oleh CV E. Penelitian ini bertujuan untuk menganalisisis kinerja dari sistem produksi pada serta memberikan usulan perbaikan untuk meningkatkan produktivitas CV E menggunakan software flexsim 2019. Hasil dari simulasi model yang telah divalidasi menunjukan berbagai permasalahan yang terjadi seperti %blocked yang cukup tinggi pada mesin bordir serta %idle yang tinggi pada mesin obras, cupit, pemasangan kerah dan saku, serta finishing yang mengakibatkan rendahnya produktivitas perusahaan. Permasalahan ini desebabkan oleh kurangnya kapasitas pada mesin bordir serta pembuatan kerah dan saku sehingga mengakibatkan permasalahan yang sistemik. Desain eksperimen dilakukan pada bagian kapasitas mesin bordir dan mesin pembuatan kerah dan saku yang masing-masing memiliki 3 dan 2 level skenario. Dari total 6 alternatif yang dibandingkan, diketahui bahwa alternatif 2 memiliki hasil terbaik untuk meningkatkan produktivitas serta utilitas dari mesin-mesin yang ada di perusahaan dengan peningkatan hasil output perusahaan sebanyak 57% dibandingkan model awal.
The Automotive Industry is one of the business lines affected by the COVID-19 pandemic in Indonesia. The pandemic causes instability in the Indonesian economy from demand and sales. The supply chain is a long process consisting of parties involved directly or indirectly in fulfilling customer needs: suppliers, manufacturers, shipping, warehouses, checking, and the customers themselves. In an increasingly dynamic and volatile global environment, various events threaten to disrupt supply chain operational activities. For example, the COVID-19 pandemic has caused supply chain management to be very vulnerable due to closing access and lockdown policy. Therefore, the designed supply chain system must withstand disruptions and recover quickly at a minimal cost. Supply Chain Resilience (SCR) is the ability of the supply chain to survive, adapt, and overcome operational disruptions that can damage the supply chain system so that the supply chain can quickly recover from disruptions and reconstruct the supply chain to be stronger than before. SCR has attributes that enable companies to anticipate and overcome disruptions. The Automotive Industry in Indonesia needs to identify what capabilities have been or will be used to anticipate supply chain disruptions which are then quantified to find out which capabilities have the most effect on increasing supply chain resilience. The method used in this study is DEMATEL (Decision Making Trial And Evaluation Laboratory) - ANP (Analytic Network Process) based, which can visualize causal relationships between factors through a cause-and-effect diagram and show the extent to which these factors influence each other.
Intisari— Industri otomotif menjadi salah satu sektor bisnis yang terdampak secara signifikan oleh adanya pandemi covid-19 yang berimplikasi pada ketidakstabilan kondisi ekonomi Indonesia. Adanya covid-19 serta kebijakan-kebijakan terkait pandemi covid-19 seperti PPKM dan lockdown secara langsung dapat mengganggu kinerja rantai pasok pada industri otomotif. Untuk mengatasi permasalahan tersebut, maka perlu adanya rancangan sistem rantai pasok industri otomotif yang dapat menahan gangguan serta dapat pulih dari gangguan dengan biaya dan waktu seminimal mungkin. Supply Chain Resilience (SCR) memiliki faktor vulnerability yang merupakan faktor-faktor yang menyebabkan perusahaan rentan terhadap gangguan. Untuk membantu perusahaan-perusahaan otomotif dapat mengatasi disrupsi yang dapat mengganggu sistem rantai pasoknya, maka diperlukan identifikasi terhadap faktor-faktor vulnerability apa saja yang dapat mengganggu sistem rantai pasok industri otomotif serta bagaimana tingkat pengaruh antar faktor tersebut. Metode yang digunakan pada penelitian ini adalah DEMATEL (Decision Making Trial And Evaluation Laboratory) yang dapat memvisualisasikan hubungan kausal antara faktor-faktor melalui diagram sebab-akibat dan menunjukkan sejauh mana faktor-faktor tersebut saling mempengaruhi. Abstract—The automotive industry is one of the business sectors that has been significantly affected by the COVID-19 pandemic, which has implications for the instability of Indonesia's economic conditions. The existence of covid-19 and policies related to the covid-19 pandemic such as PPKM and lockdowns can directly disrupt supply chain performance in the automotive industry. To overcome these problems, it is necessary to design a supply chain system for the automotive industry that can withstand disturbances and can recover from disruptions with minimal cost and time. Supply Chain Resilience (SCR) has a vulnerability factor which is a factor that makes a company vulnerable to disruption. To help automotive companies overcome disruptions that can disrupt their supply chain systems, it is necessary to identify any vulnerability factors that can disrupt the automotive industry supply chain system and the level of influence between these factors. The method used in this study is DEMATEL (Decision Making Trial And Evaluation Laboratory) which can visualize causal relationships between factors through a cause-and-effect diagram and show the extent to which these factors influence each other.
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