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Suppliers play an important role in determining product quality, costs, product development, and access to finance for companies. If the company is less selective in choosing its suppliers, the costs incurred may become ineffective. This study aims to develop or design a supplier selection model for non-critical items in Fast Moving Consumer Good companies. In this study, a literature review approach is used by examining 10 journals that have discussed supplier selection procedures. Each journal used as a basis for this study also has different problem objects, models, variables, methods and results. The results of the cross-reference analysis are used to design a procedural model for selecting suppliers for non-critical items. The design of the non-critical item supplier selection model uses several criteria which will later be used as the basis for selecting non-critical item suppliers. From several journals that have been studied, several criteria are obtained that are in accordance with the company that the researcher will conduct research, and will later be re-elected according to the company's needs. This study aims to develop or design a supplier selection model for non-critical items in FMCG (Fast Moving Consumer Good) companies. By using the F-AHP (Fuzzy – Analytical Hierarchy Process) and TLS (Traffic Light System) model, companies that have never had a procedure for selecting suppliers for non-critical items can carry out this procedure so that in the future this procedure can become a standard in companies in terms of choosing supplier.

Fires doesn’t know the place and time, they can happen anywhere and anytime. Some of the causes of fires are human error, electrical short circuit, cigarettes, stoves, etc. As a result, many parties suffered losses, both property, business entities, and casualties. Based on these problems, we need a system that is able to detect fires and take preventive action, namely notifications via the internet using the Blynk application. In this study, the parameters used are the temperature sensor, the MQ-2 smoke sensor and the flame sensor. The output of the system is a buzzer, LED, LCD, and Blynk app as notifications. The Fuzzy Logic method is applied to the system to control the Buzzer, LED, LCD and notification determinants to the Blynk application.

Assessment of individual performance in an organization is needed to improve organizational performance, not least in the basketball team. Satya Wacana Saints Salatiga is a basketball team in Indonesia that competes in the Indonesian Basketball League (IBL). All players have statistical values in a basketball game, including points, assists, blocks, rebounds, and steals. These five features can be used as a reference for coaches in determining the performance of players consisting of players with good, moderate, and poor performance. Feature selection determines the feature(s) that most affects a player's performance. In this study, a feature selection of the statistical value of players was carried out to assess the performance of basketball players. The data was obtained from IBL statistical data for the Satya Wacana Saints Salatiga team for the 2021 season. The method used was k-means and fuzzy c-means with feature selection. The experiment results showed that the point value was the main factor influencing players' performance. The comparison between the k-means and fuzzy c-means with the actual performance of the coaches' assessment shows that the fuzzy c-means algorithm has an accuracy rate of 1.0000, while the k-means algorithm is 0.8000. It means that the evaluation of the player's performance can be determined from the point value using the fuzzy c-means algorithm.

Starting from the development of medical technology that is increasingly sophisticated and rapidly growing,researchers conduct medical research, namely about patient infusion handling services. In handling patient infusion, currently it is still manual which is carried out by nurses / medical personnel. Infusion handling services for patients still have shortcomings, namely the process of monitoring and replacing infusion fluids which are often late. If the problem is not treated quickly, it can lead to problems, namely the presence of air embolism in the blood vessels (the entry of foreign objects into the blood vessels, for example air). From that problem, the researchers made a new innovation in medical technology in handling infusions automatically and based on IoT. In this study, the smart online infusion device that has been made has good features and is very effective in handling infusions. This device has 3 main functions, namely: it can monitor the remaining infusion, it can change the infusion fluid automatically and it can indicate a blocked patient's infusion. This device already has a method for processing data with fuzzy logic. Media monitoring has been supported by a website that can be controlled remotely and in real time. Tests have been carried out and the effectiveness of the system is found to have an error rate of 0.2% - 0.7% and has an accuracy of 98%. Thus this tool can be used in terms of handling patient infusion automatically.