Universitas Prima Indonesia: Open Journal Systems
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Pembelajaran Partisipasi Aktif Siswa Tunagrahita Di TK Talenta Semarang Ditinjau Dari Aspek Pedagogis Dan Ekologis
No full textA critical element in the learning process is student participation. However, children with disabilities sometimes have obstacles to participate in the classroom. Therefore, this study focuses on observing the active participation of students with disabilities in Talenta Semarang Kindergarten and the methods used to stimulate participation. Active participation is examined from two aspects, namely ecology and pedagogy. This research is qualitative, using observation and interview data collection methods. The analysis technique used is descriptive phenomenology, which is a technique for understanding the subject's experience by describing the essential features of a phenomenon without interpreting it. The study results showed that the students with disabilities at Talenta Semarang Kindergarten could show limited participation levels in the ecological and pedagogical aspects. In this case, each student showed different levels according to their abilities. In addition, teachers can also show some methods to provoke students with disabilities to participate in the learning process in the classroom. This research also discusses the obstacles and challenges faced by students with disabilities in the learning process
Hubungan Antara Iklim Sekolah Dengan School Well-Being Pada Siswa Smk X
No full textSchool well-being refers to students' feelings of happiness when their basic needs at school are met, encompassing school conditions, social relationships, self-fulfillment, and school health. One of the factors influencing school well-being is the school climate. This study aims to examine the relationship between school well-being and school climate among 11th-grade students at SMK X Gadingrejo. Using a quantitative approach and purposive sampling technique, the study involved 100 students from the total population of 11th graders. The data analysis used was product-moment correlation with SPSS 25.0, revealing a significant positive relationship (r = 0.406, ρ = 0.000) between school climate and school well-being, with an effective contribution of 16.5%. These findings highlight the importance of fostering a supportive school environment through collaborative activities, improved facilities, and personal development programs to enhance students' well-being
IMPLEMENTATION OF SUPPLY CHAIN MANAGEMENT AT CV.TINGGAR JAYA FOR WEB-BASED STOCK MONITORING
No full textImplementation of Supply Chain Management at CV. Tinggar Jaya is a company warehouse system designed for company needs to coordinate company resources. The problem that occurs at CV. Tinggar Jaya still uses manual methods, from ordering to checking or monitoring stock in the warehouse. Therefore, the solution to this problem is implementing supply chain management at CV. Tinggar Jaya will organize and monitor the warehouse's stock amount using the waterfall system design method with the expected goal of implementing supply chain management to monitor the stock of goods to be more efficient in carrying out this process.
Keywords: Warehouse, Supply Chain Management, Goods, Monitoring, Stock, Websit
Comparison of K-Nearest Neighbors and Convolutional Neural Network Algorithms in Potato Leaf Disease Classification
No full text[email protected], [email protected], [email protected] production in Central Java was recorded to have decreased by 10.77% by the Central Statistics Agency (BPS), from 278,717 tons in 2022 to 248,700 tons in 2023. This decline is due to the fact that potatoes are susceptible to diseases such as late blight and dry spot (early blight) which can significantly reduce yields. This study aims to evaluate the performance of Convolutional Neural Network (CNN) with VGG16 architecture and K-Nearest Neighbors (KNN) to find the best method for potato late blight classification. The dataset used consists of 1500 potato leaf images divided into training, validation, and testing. This research uses pre- processing including resizing, rescaling, and data augmentation. The results show that CNN with the VGG16 model is superior in classifying potato leaf diseases compared to KNN with the MobileNetV2 model. CNN produced an accuracy of 96% while KNN with the MobileNetV2 model obtained an accuracy of 93%. These results can be used as a powerful tool in supporting potato leaf disease identification. This model makes a significant contribution to the development of disease identification techniques through digital image processing.Keywords: Potato Leaf Disease, Convolutional Neural Network, VGG16, K-Neares
Application of Smote and Decision Tree Classification in Detecting Fraudulent Transactions
No full textFraud detection in online transactions is critical to protecting consumers and maintaining the integrity of the online business ecosystem. Dataset imbalance can affect the classification prediction performance. To overcome data imbalance, this research uses an oversampling approach with the SMOTE method. The aim of this research is to analyze the performance of the SMOTE algorithm and decision tree classification in dealing with data imbalance problems in fraudulent transactions. The dataset used is online payments taken from Kaggle. The dataset shows that there are unbalanced classes, and it was found that using the SMOTE method increased the performance value better than using it without the SMOTE method. Using SMOTE gets very high metric values, up to a recall value of 100%. This shows that the model used in classifying fraudulent transactions is very effective
Classification Of Egg Quality Using The K-Nearest Neighbor Algorithm In Machine Learning
No full textIn addition to meat, fish, and milk, one of the staple foods consumed by the community is chicken eggs. Egg quality assessment is separated into two categories: exterior (egg shell) and interior (egg contents). However, the evaluation method used in this investigation is focused on evaluating the external quality of eggs. Pre-processing, feature extraction, classification, and evaluation are steps taken in the image processing method used to classify chicken eggs. Classification methods that can be used include the K-Means Clustering and K-Nearest Neighbor (KNN) methods and improved KNN. Based on the findings in the study, the KNN improvisation method can be used to classify chicken egg quality, with a test accuracy value of 91.67%.
Analysis of User Behavior of the Digital Korlantas Polri Application with Integrated UTAUT in the Community of East Java Province
No full textCurrently, more and more agencies are developing their services by utilizing technology in the form of mobile applications, including the Republic of Indonesia Police agency, especially the Traffic Corps with its mobile application-based service called Digital Korlantas Polri. This research aims to identify what factors influence users' interests, behavior and intentions towards the National Police Traffic Corps Digital application by testing 10 variable hypotheses built from the integration of the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), Theory models. of Planned Behavior (TPB) and Service Quality with the educational level factor proposed as a moderator. The results of this research show that Performance Expectancy and Effort Expectancy are the 2 main factors influencing Behavioral Intention. Other results show that factors such as Social Influence, Facilitating Conditions, and Perceived Risk have a negative influence where they can reduce the user's Behavioral Intention. Apart from that, the research results also show that Behavioral Intention and Word of Mouth can influence users to continue using this application and educational level factors have a negative influence on users' behavioral intention to continue using the application on an ongoing basis.
Keywords: Unified Theory of Acceptance and Use of Technology, Theory of Planned Behavior, Technology Acceptance Model, Servic
Utilization Of Discord Bots In Providing Manhwa Recommendations Using Content-Based Filtering Method
No full textThe high number of manhwa released today makes it difficult for readers to find manhwa that match their preferences, especially when trying to find manhwa that are similar to ones they have read before. The manual search process, either through recommendations from communities or online forums, often results in subjective and inconsistent suggestions. To address this issue, a Discord bot was developed that utilizes the Content-Based Filtering method as an automated solution to manhwa recommendation. This method uses the Cosine Similarity algorithm to measure the similarity between manhwa based on features such as title, genre, synopsis, and author. For comparison, the Euclidean Distance algorithm is used to evaluate the accuracy and performance of the recommendation. From the test results, the Cosine Similarity algorithm showed superior performance in providing recommendations based on the questionnaire results and showed a high level of user satisfaction with the developed Discord bot
Assessing the implementation of occupational safety and health management system in the hospital
No full textThe implementation of occupational health and safety programs in hospitals aims to improve access, affordability, and quality of safe health services in hospitals. While some hospitals have implemented Occupational Safety and Health Management Systems (OSHMS), their effectiveness varies. This study aimed to examine and evaluate the effectiveness of OSHMS implementation in Hospital X. This qualitative research used a case study design. A purposive sampling technique was used in this study. The research informants selected included an OSH Committee Team of three people and seven hospital employees. This study used a combination of observation, in-depth interviews, and documentation methods to obtain comprehensive data on the implementation of OSHMS. Data analysis was conducted through a series of systematic steps, starting with the transcription of observation and interview results in textual form. The coded data were analyzed to identify patterns, meanings, and relationships between themes. Themes were analyzed deductively, focusing on policy, responsibility, and authority to act, and the review and evaluation of OSHMS. The results of this analysis were interpreted by the researcher and linked to the research context and relevant theories, resulting in useful and meaningful findings. The results showed that the hospital demonstrated a commitment to OSH through comprehensive policies and implementation efforts. However, there are still some shortcomings in terms of the person in charge of the OSH in the work unit, as well as review and evaluation mechanisms. Improvements in these aspects can help to increase the effectiveness of OSHMS implementation in hospitals
Hubungan Hormon Dan Psikologi Pada Ibu Masa Perinatal
No full textIn this study the authors raised the title of "The Relationship of Hormones andPsychology in Perinatal Mothers". This study aims to review the journals that the authors havechosen. The method used in this study was a literature review of the 6,970 results that appeared, so a review was carried out on the 19 selected journals. The results of this study are that the relationship between hormones and psychology that occurs during the perinatal period is very complex and correlates with one another to support coping with the psychology felt by perinatal mothers. Understanding the emotional changes experienced by women during the perinatal period is very important to support appropriate care