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The furniture industry is experiencing the problem of uncertainty in determining the optimal amount of wood raw material inventory. Fuzzy logic is one of the methods used to analyze systems that contain uncertainty. This study discusses the application of fuzzy logic in solving the problem of supplying wood raw materials in the furniture industry with the Fuzzy-Mamdani approach. The data used in this study are data on the entry, distribution, and supply of wood raw materials from January to December 2018. The design of the system to obtain output is carried out in the following stages: (a) Formation of fuzzy sets, (b) Application of functions implications, (c) Composition of rules, (d) Affirmation (defuzzification). Solving the problem using the Fuzzy Tsukamoto method is carried out by the Tsukamoto method with the help of Visual Basic software so that the desired results will be obtained on the output variable. From the results of calculations using the Fuzzy Tsukamoto method, it can be analyzed that the comparison between the realized wood raw material inventory with the Fuzzy Tsukamoto approach looks different and the results from the Fuzzy Tsukamoto approach are more optimal.

In early 2020, COVID-19 was present and changed the socio-economic order of the community. All sectors were affected as well as industrial sectors for both manufacturing and services. The business' operation has changed to comply with health protocols to prevent the spread of the coronavirus. The impacts of the COVID-19 in the industry identified in this study were decreased income, supply chain disruption, the onset of free time at work, and implementation of health protocols. This impact caused changes in activities in the form of reduced working hours, reduction of workers, material and process efficiency, increased lead time and delays in distribution, physical distancing, activities to prevent exposure to COVID-19, disinfection activities in companies, early detection of COVID-19, and increased employee immunity. Strategies that can be carried out are building a commitment to maintaining discipline in implementing health protocols, utilizing digital technology (internet of things) to expand the market, and implementing a lean strategy to achieve efficiency or save resources.

Ali's cake (ledram) is one of Karawang's specialty foods which is shaped like a donut made from a mixture of rice flour, coconut milk, and brown sugar. The steps for making Ali cake (ledram) start from preparing the ingredients, cooking coconut milk, brown sugar, and granulated sugar. Next is the process of mixing rice flour into the coconut milk and sugar mixture, then proceed with the cake molding process and the frying process. The last stage of making Ali cake (ledram) is the packaging and shipping process. From the results of observations in the field, then an analysis was carried out for making conceptual models and simulations. The simulation of the Ali cake production process (ledram) was carried out using ProModel software. The simulation results show a high rate of cake delivery failure. Next, a repair scenario is made for the system that is already running, namely by adding man power. The simulation results of the improvement system show that there is no delivery failure in the cake delivery process flow. The transfer process of ready-to-pack cakes to ready-to-deliver cakes is smooth, there is no buildup or over capacity.