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This article aims to find out how employee motivation increases employee work productivity at UMKM Martabak. Work productivity is greatly influenced by employee motivation, this is related to encouragement, attitude, and enthusiasm that comes from within the human person. High or low employee motivation affects the productivity of employers. The purpose of writing this article is to find out the importance of work motivation in increasing employee work productivity. Motivation plays a significant role in influencing and increasing work productivity, employees will work with discipline and diligence. But apart from that, the lack of appreciation, salary, and bonuses can also reduce employee motivation. This decreased motivation greatly affects the increase in work productivity, which in turn can make a business decline. Suggestions for business owners to be more aware and pay more attention to their employees in order to maintain work motivation and establish positive relationships between superiors and subordinates.

Weed control using a single herbicide with same active ingredients can add the risk of weed resistance. Using mixed herbicides can increase the spectrum of weeds controlled, and inhibit weed resistance. Herbicide mixture with two or more types of active ingredients will show the interactions between one and another ingredient. These interactions could be synergistic, antagonistic, and additive. The research was to determine the response of mixed herbicide Bentazon, MCPA 460 g. L⁻¹ and their mixed characteristic. This experiment was conducted from June until August 2019 in the greenhouse at the Faculty of Agriculture, Universitas Padjadjaran. The treatment consisted of three types of herbicides with six dose levels, namely a single herbicide of Bentazon 400 g. L⁻¹ and MCPA 60 g. L⁻¹ (4; 2; 1; 0.5; 0.25; 0 L.ha⁻¹), a mixed herbicide Bentazon MCPA 460 g.L⁻¹ (5; 2.5; 1.25; 0.625; 0.3215; 0 L.ha⁻¹) with four replications. The target weeds tested were Spenochlea zeylanica, Ludwigia hyssopifolia, Fimbristylis miliacea, and Cyperus iria was taken from the Ciparay area. Data were analysed by linear regression analysis and multiplicative survival model (MSM) method to determine the LD50 treatment and expectation. The result showed that compound herbicides of Bentazon and MCPA LD50 treatment (0,3857 g.ha⁻¹) had smaller value than LD50 expectation (0,6943 g.ha⁻¹) with a ecotoxicity value of 1.8 (> 1), so that the herbicide mixture was synergistic.

Increased business competition among the companies demand them to develop more. The development is not separated from the business risk and weaknesses. The business risks and weaknesses can be known and evaluated quickly using SOP (Standard Operating Procedure) which is simulated through YAWL application. Once the simulated weaknesses are identified, then it is conducted the index maturity of risk management to determine the company's understanding and concern on the existence of risks in the company's business process and risk management responsibilities within the organization itself. The method of measuring the evaluation of maturity index on risk management mostly uses measurement step by assessing and weighing the result from observation, interview, survey, etc., but if the data is not quite good then it will cause problem. Therefore, we need a new model for measuring and knowing the risk alternatives faster to be able to initiate risk-prevention. In this research, fuzzy logic model is used in making decision of the biggest risk alternative and to be handled for the first time. Fuzzy AHP will be used to calculate the value of the criteria, taken from the maturity index COBIT and Fuzzy TOPSIS to determine the selected alternative rating. It is observed that Managed and Measurable maturity index have the smallest weight of 0.0355 compared to other criteria (That means the company does not reach the level of maturity to understand risks in managed and measure) and Database Server achieves very serious attention because the score is very high compared to the other alternatives of 1.1186.