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Manual quality assessment of Platelet Concentrate (TC) is highly subjective and inconsistent, necessitating an objective, automated classification system. This study aims to develop a computationally efficient, low-cost model for TC quality classification using Histogram Features extracted from grayscale images combined with the K-Nearest Neighbor (KNN) algorithm. The methodology employed critical preprocessing steps, including StandardScaler for normalization and SMOTE for balancing the training data, followed by optimization across K=1 to K=30. The optimal model achieved a maximum accuracy of 69.23% at K=6, with an F1-Score of 71.43%, confirming robust performance on the imbalanced testing set. The results validate the effectiveness of the Histogram-KNN approach as a consistent and reliable decision support system for rapid TC quality screening in resource-limited settings.

Oxygen is vital therapy where delivery accuracy is crucial, especially for infant patients, to ensure treatment effectiveness and prevent the risks of hypoxia or toxicity. With the implementation of the mandatory Domestic Product Utilization Policy (TKDN+BMP ≥ 40%), evaluating the quality of local products has become an urgent necessity. This study aims to test and analyze the quality and accuracy of domestically produced infant oxygen flowmeters compared to an imported product. The method used was experimental testing, measuring three brands of domestic products and one brand of foreign product at flow rate settings of 0.5, 1, 1.5, and 2 liters per minute (LPM). Each setting point was measured 10 times using a standardized calibrator to ensure data reliability. The measurement results were analyzed to identify the deviation level of each product. The findings of this study are expected to provide an objective conclusion on the quality equivalence of domestic products with imported ones and to identify which product has the lowest deviation rate. This can serve as scientific consideration for hospitals in selecting high-quality infant oxygen flowmeters, thereby supporting the domestic product policy.

This research aims to analyze the impact of a new coil winding design in 3-phase induction motor on effiiciency, with the objective of creating a new 3-phase induction motor with improved performance. The research was conducted in the Electric Power System Laboratority, Department of Electrical Engineering, Padang Institute of Technology, and focuses solely on efficiency and its relationship to motor output power. The study involved redesigning the coils of a conventional 3-phase induction motor into a 6-phase coil design without altering the motor’s position, followed by testing both motors and comparing the efficiency of the conventional 3-phase induction motor with that of the redesigned 6-phase motor using the asymmetrical double methode. The result show that the efficiency of the 6-phase coil-designed motor increased compared to the conventional 3-phase induction motor.   importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

This research uses a literature study, a descriptive qualitative research type, a literature review describing the function of digital technology-based learning educational innovation. Research uses written sources such as articles, journals and relevant documents. The literature study focuses on the function or role of educational innovation, educational digital technology, and the use of educational technology. The study results show innovation in the process of renewal and change. Innovation is very necessary in the world of education so that it continues to develop. The use of technology has positive and negative impacts. The impact generated is focused on positive things and minimizes negative impacts if there is good cooperation from various parties so that the use of technology meets its objectives. The function of educational innovation in digital technology-based learning is very important. So that the use of digital technology can be carried out optimally and comprehensively, good innovation needed.

Someone who is referred to as a technician is a person who has expertise in a particular field of technology. Telkom Group is the only state-owned telecommunications company and the largest telecommunications and network service provider in Indonesia. Evaluation of technician performance is important to support the smooth running of the company. Selection of the best technician, will increase the motivation of the technician's performance. Some of the problems encountered were the absence of a technician performance appraisal process, the absence of an appropriate selection method, and the absence of a Decision Support System (DSS) that could make it easier to assess the selection of the best technician. Designing and building a decision support system using the AHP and COPRAS methods on technician assessments at PT. Telkom Access Regional 4 (Semarang) to increase the morale of the technicians and appreciate them. In this study, the AHP-COPRAS method was used to create a web-based DSS, in providing a more objective assessment every month, and creating several reports that convey effective issues, such as rating reports and technician performance appraisal reports according to these criteria.