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This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in perfect classification, with all models attaining accuracy, precision, recall, and an F1-score of 1.00. The main finding is that the QML architecture successfully achieves flawless classification, contributing significantly to the field. These results underscore the potential of QML in solving complex classification problems and highlight its promise for future applications across various domains. The study concludes that QML techniques can offer transformative solutions in machine learning tasks, particularly those leveraging VQC, QNN, and QSVM.

The purpose of this study is to evaluate the deficiencies in the learning of accounting software at STIE Ganesha. This study will concentrate on factors that potentially hinder the integration of accounting software into the college curriculum. This research started in October 2024. Accounting students at STIE Ganesha are the research subjects. Qualitative research was conducted and data was collected through in-depth interviews. The results showed that learning accounting software has several problems. One of them is the lack of supporting resources and lack of technological infrastructure. In addition, students face difficulties in understanding and accessing accounting software required to meet the needs of the working world. To produce more efficient accounting software learning, this research emphasizes increasing resource capacity and improving supporting infrastructure. This research is expected to help STIE Ganesha develop methods to improve software-based accounting learning.

Educational supervision is a training process that aims to improve the quality of learning and teacher performance. Implementation of supervision requires certain techniques that are tailored to the needs, conditions, and characteristics of the school. There are three main categories in supervision techniques, namely individual techniques, group techniques, and a combination of both. Individual techniques include classroom observation, personal conversations, and class visits, which aim to provide direct guidance to teachers. This technique is effective in identifying specific problems faced by teachers and providing solutions directly. Supervision groups include workshops, discussion groups, and joint training, which aim to improve teacher competence through collaboration and sharing experiences. This technique encourages innovation in teaching and creates a culture of learning among educators. In addition, a combination of individual and group techniques, such as mutual observation or project-based training, can provide more comprehensive results. The application of supervision techniques must be carried out in a planned and sustainable manner with the principles of involvement, openness, and training. Effective supervision also requires technological support to facilitate data collection and evaluation, such as using learning videos or analytical software.

In this study, the goal is to compare the academic results of economics students from Pasuruan Public Secondary School 3 classes, which use the PBL learning model, inquiry-based learning and discovery-based learning. Consistent with the description of unequal groups, this study used an experimental methodology that included three types of trials, each using a unique teaching model. An analysis of the pretest and posttest results was carried out to identify possible differences in the academic performance of the students. Although several teaching models were implemented, The findings showed that there was no significant difference in academic performance across the three groups. The Kruskal-Wallis test produces an Asymp value. signature. of 0.274, which means there is no significant difference between learning models. Therefore, the application of the PBL, inquiry and discovery learning model can be said to have no significant effect on student academic achievement.

This study aims to examine the implementation of teaching strategies and methods at SDN 1 Gobras using a qualitative approach supported by NVivo 15 software. Data were collected through in-depth interviews, direct observations, and documentation to evaluate the effectiveness of student-centered learning methods, such as a modified Problem-Based Learning (PBL) approach. The findings reveal that kinesthetic strategies significantly enhance students’ learning enthusiasm, particularly in lower grades (grades 1-3). However, the study also identifies key challenges, including limited learning resources and time allocation. To address these issues, continuous teacher training and improved learning facilities are recommended. These findings are expected to serve as practical guidance for elementary schools in enhancing the quality of learning effectively.

This research explores innovations in Christian education through the application of a multisensory approach to spiritual learning. By using a phenomenology-based qualitative research method through literature research, this study aims to understand how a multisensory approach can improve the effectiveness of spiritual learning holistically. The main problem identified is the challenge in conveying abstract theological concepts to students, especially in the digital era that demands relevant and interesting learning methods. The novelty of the research lies in the integration of multisensory approaches with modern technologies, such as augmented reality and interactive applications, to create immersive sense-based learning experiences. The results of the study show that the multisensory approach enriches the learning process by increasing information retention, emotional engagement, and internalization of spiritual values. The findings also confirm that multisensory experiences are able to bridge the abstraction of Christian teachings with concrete experiences, creating a deeper connection between learners and faith values. The contributions of this research include the development of relevant, adaptive, and transformative Christian education strategies, as well as the provision of a theoretical foundation for the implementation of a multisensory approach in various educational contexts. This research provides new insights for Christian educators in presenting spiritual learning that is more holistic and contextual.