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Sidoarjo mud is a mud that comes out from the earth's belly that continues to spurt until now, and steel slag is a waste of steel manufacturing industry. Based on previous research Sidoarjo mud can be used as cement replacement material in concrete mixture because it contains silicate (SiO 2). According to Puslitbang road and Bridge, Department of Public Works, steel slag aggregate has a high hardness cause steel slag either as pavement material. This study aims to know the effect of sidoarjo mud addition and steel slag to the characteristic of plasticity and the carrying capacity of clay. This research uses experimental method, which is an analysis based on laboratory test results, including Atterberg Limit test, Standart Proctor, Unconfined, Direct Shear, Swelling, and CBR. The soil samples come from the area around Kertajaya Indah Highway, mud from Sidoarjo, and steel slag from PT. Hanil Jaya Steel Sidoarjo. Mixed mud using concentrations of 5%, 10%, and 15%, and steel slag of 10%, 20%, and 30%. The results showed the original soil Liquid limit: 59%, Plasticity Index: 33.67%, Swelling: 3.54%, γd: 1.27 grams/cm³, qu: 0.778 kg/cm², and CBR: 3.145%, into the category of high plastic clay soil, medium swelling, very tenuous density, medium compressive strength, and bad category CBR. After addition of 15% mud and 30% steel slag, Liquid limit: 35%, Plasticity Index: 19.49%, Swelling: 0.27%, γd: 1.6 gram/cm³, qu: 2.013 kg/cm², and CBR: 8.21%, in the category of low plasticity clays, low swelling, medium density, very strong press strength, and CBR category is quite good. The addition of maximum sludge 15% and minimum 30% steel slag is effectively used as additional material for clay soil stabilization, since it can decrease the plasticity and increase the carrying capacity of soil.

The number of Small and Medium Enterprises (SMEs) is a business group that is an important part of national economic development. The number of SMEs continues to grow but is not matched by the increase in the marketing performance of these SMEs. This research was conducted to optimize speed innovation as a mediation between customer orientation and market performance. We used 172 samples based on 302 existing populations using stratified random sampling. The research method used in analyzing the relationship between the three variables is Partial Least Squares - Structural Equation Modeling (PLS-SEM). The results of data processing show that speed innovation can mediate customer orientation in improving the market performance. This study contributes to explaining the determinants of market performance for SMEs. The results of this study show that SMEs depend on customer orientation and innovation speed to improve market performance. Customer orientation is proven to improve market performance. Customer orientation has a positive effect on SMEs performance.

Companiesthat have good management are companies that can manage risks that can occur so that the level of risk that occurs can be reduced or even eliminated. The risks that may occur can be managed by tracing beforehand so that information is obtained about the causes of these risks, and the analysis of risk assessment in the company serves as loss mitigation which will later be able to find out about the risks that will occur, the causes of the risks, the impact of these risks. as well as repair solutions to reduce waste in the warehouse. The risk assessment or risk assessment is carried out by the management, especially the head of the warehouse. The data obtained were then analyzed using the Failure Mode and Effects Analysis (FMEA) method and the Fault Tree Analysis (FTA) method. The analysis generates the value of the risk level (TR), and Risk Priority Number (RPN) and details the causes of a Top Event to a root cause failure. The results of the analysis obtained 25 risks for the entire process failure with the largest RPN value, namely the damaged network connection with a value of 40.74 while the smallest RPN value, namely the risk of lack of light intensity with a value of 4.89, the risk of damage to hardware with a value of 4.89.

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