PT. XYZ is a manufacturing company that produces grey fabrics, it can be customized by the customers. In order to increase productivity and quality production, the company trying to develop business by adding some machines with the latest type and technologies. Based on direct observations, Company produced a lot of defects and causes a negative impact. The problem can be solved by 4 quality control methods (exist in seven tools method) check sheets, pareto diagrams, control charts, and fishbone diagrams. This method used to determine the root of problems related with the quality products. Check sheet method analysis shown intensity categories of product defects with label "always", "often" and "rarely". Then, the analysis of pareto diagrams showing the most dominant types of defects, with the name "Loncat P / L" and "Ambrol". Furthermore, the results of the control chart analysis show an uncontrolled status. Finally, it can be known that the problem causing product defects is quality of dirty raw materials, machine failure, labour fatigue, poor work methods and unhealthy environment. recommendations given by researchers to the company are further tighten SOP implementation, control and supervise workforce performance, workforce briefings, and pay attention to 5S work culture.

XYZ is a Small and Medium Enterprise (SME) that manufactures dolls from rasfur and velboa fabrics. XYZ uses a flowshop with a make-to-stock production system. The problem that occurs in XYZ is that they have not been able to achieve production targets so they cannot complete customer demands. This study aims to simulate the production system so that it can be analyzed problems and taking the best solution. The method used in this study is modeling and simulation using flexsim 6.0 software. After modeled on Flexsim, it can be seen that significant problems exist in the flow from cutting to the sewing machine and the sewing process time is too long. Therefore, the researcher tries to add a sewing machine as an investment so that there are no lost opportunities. After the addition, it turned out that XYZ was able to produce an average of 80 dolls per day by adding 2 sewing machines as a future investment.

Aquaculture is a potential sector to be developed by the people of Indonesia considering that Indonesia's territory is dominated by the sea. Based on data released by the Directorate General of Aquaculture in 2015, the level of fish consumption projected increase up to 54.49 kg/capita/year. One important factor influencing the success of aquaculture is water quality. Some physical parameters to describe water quality include temperature, degree of acidity, dissolved oxygen and turbidity. The case of the death of thousands of fish in Cirebon due to hot temperatures reaching 36 degrees Celsius in November 2015 is one proof that monitoring and control of pond water quality has not been done properly. It will cause huge losses for fisheries. With research and development methods researcher design a tool called SENDAL IKAN. This tool has 7 sensors that can control water quality in fish ponds in real time from phone and can activate automatic responses directly and through applications on mobile phones if there is an indication that the water quality is outside normal limits. That way fish farmers will be easier to control and will not be too late to handle problems related to fish pond water quality.

A company can survive and thrive when the strategies and processes applied in its business are correct. One of the processes in determining strategy in decision making. The owner of Setia Store has difficulty in choosing a marketing strategy. The product layout shows this in the Setia Store, which confuses customers. Setia Store also rarely offers a promotion, making it difficult to compete with competitors. This study aims to help Setia Store increase sales by determining the right marketing strategy. To determine the right marketing strategy, there are three methods developed. First of all, the analytical hierarchy process (AHP) is employed to find the customer priorities. Then, clustering is proposed to find potential marketing targets that have similar characteristics from the results of the AHP method. Third, association rule-market basket analysis (AR-MBA) is developed to find the best rules for product marketing strategy. The first method shows that the housewives (EV=0.6270) are Setia Store's priority customers from the three methods. Second, cluster 3 (which has three characteristics in common) is a very potential target market. Third, the best rule is to buy products from departments 2 and 3 (Confidence 60%, Support 12%). From these results, the right marketing strategy is to create a buy 1 get 1 promo banner or label for products that are rarely purchased, such as household appliances. Then, create a catalog by bringing together frequently purchased products such as spices and food ingredients. Finally, improve the layout by bringing the departmental shelves closer to frequently purchased products.

Nowadays, people are very facilitated by the existence of various shopping centers, including retail. Because many retailers are close to each other, Alfamart Lodadi must have a good marketing strategy. So far, the strategy used is sometimes inaccurate because it is not based on customer segmentation.  Therefore, the purpose of this research is to help retail owners to make decisions regarding the right marketing strategy with three methods so that Alfamart Lodadi can compete and increase sales. The Analytical Hierarchy Process (AHP) is employed to find the priority variables of customer segmentation; meanwhile, the K-Means Clustering is used to group customers based on the similarity of predetermined characteristics. AR-MBA is used to find out the best rules, and products are rarely, sufficient, and frequently purchased.  The results of this research, based on AHP, obtained five segmentation priority variables based on the largest eigenvector values. There are income, age, expenditure, distance, and shopping intensity with each eigenvector value of 0.13; 0.16; 0.12; 0.12; 0.17. From clustering, there are three customer clusters with different strategies, including free shipping when shopping, product discounts for certain periods, and providing catalogs and discounts on each transaction and offer notifications. Then, this research also obtained three strategies based on AR-MBA. These include making a catalog by bringing frequently purchased products closer together, choosing a layout for shopping places by bringing frequently purchased products closer together, and making shopping coupons for rarely purchased products. With several strategic choices, companies can make decisions appropriately according to the desired criteria.