Good risk management will reduce the impact and risk of an event. In this study discussed the risks that may arise in the wooden toy industry supply chain and how to manage these risks. The calculation divided into three phases; there are risk mapping, risk assessment, and risk management. House of Risk (HOR) is used in calculating potential risks and Analytical Network Process (ANP) is used to choose the best strategy for supply chain risk management. Followed by HOR calculation, risk that has the greatest value and selected as potential risk is the risk of price/cost fluctuations with an ARP value of 432. The strategy of this risk is grouped based on 2 causes, namely raw material price fluctuations and poor management. With ANP calculations, the strategy for raw material price fluctuations are understanding and determining the quantity of material used (28.14%) and combining woods with various commodities (23.23%). Then the alternative for poor management are doing strategic financial accounting (54.48%) and doing financial planning (33.07%).

In the continuity of business processes, companies cannot avoid the possibility of disruptions in their supply chains. This disorder is referred to as risk. The problem often faced by companies today is a poor internal control system in the production process in the supply chain channel. Therefore it is necessary to propose solutions in the form of new procedures that meet all the criteria of good internal control in the company. To minimize risk events, analysis and design of supply chain risk information systems has been made using a DFD based approach. In this study, the observation of risk in the supply chain path of one of the wooden toy industries, namely CV. Atham Toys. Aims to minimize the risks that occur by creating a DFD-based information system to identify priority risks that occur in the company. Based on observations, there are 25 risk agents that can cause 6 risk events. Then the priority risk chosen using the Fuzzy House of Risk method is price or cost risk with an ARPj value of 499.

Supply chain is a group of companies that work together to create and deliver products to end users [7]. Whereas supply chain risk is defined as an imbalance between demand and supply. Supply chain disruptions can cause various problems such as length of waiting time, out of stock, inability to meet customer demand, and rising costs [1]. If supply chain risk occurs, it will certainly cause material and non-material losses. To anticipate this loss, proper supply chain risk management is essential. In this study, the author developed [11] research entitled “Risk Management Analysis Using FMECA and ANP Methods in the Supply Chain of Wooden Toy Industry”, IOP Conference Series: Materials Science and Engineering, 2019 “The development carried out by the author is” Risk Assessment User Interface Design’s by using Object Orientation Programming Approximation in Wooden Toys Industry” aims to build information systems so that users more easily determine the greatest risk in the company and can minimize the impact of risks that may occur so that it is more effective and efficient . There are 6 risk factors with 25 risk variables from the data questionnaire results [11] and the biggest risk factor is eviroment with marcoeconomic variable risk of 518, 778.