Profitability is a key indicator in assessing the financial performance and operational sustainability of a bank. However, during the 2021-2023 period, the Islamic banking industry in Indonesia faced various challenges, especially regarding operational efficiency and financing management. This challenge can be seen from the unstable value of the Net Operating Margin (NOM), the high ratio of Operating Expenses to Operating Income (BOPO), and the imbalance in the Financing to Deposit Ratio (FDR). This study uses a quantitative approach with secondary data from the annual financial statements of Islamic Commercial Banks for the 2021-2023 period which are accessed through the OJK official website. The object of research includes all Islamic Commercial Banks operating during this period, with a sample of 10 banks selected through purposive sampling method. The data were analyzed using IBM SPSS version 30.0 in 2024 with descriptive statistical analysis techniques, classical assumption tests, multiple linear regression, hypothesis testing, and coefficient of determination (R²) tests. The results of this study indicate that partially the Net Operating Margin (NOM) variable has a significant effect on Profitability (ROA). While the variable Operating Cost of Operating Income (BOPO) and Financing to Deposit Ratio (FDR) has no effect on Profitability (ROA).

This study aims to observe and analyze the information technology infrastructure (ITI) utilized by the e-commerce company Tokopedia, in order to understand the role of ITI in supporting operations and business development in the digital era. The research method employed includes literature review and indirect observation through the analysis of secondary data sources, such as articles, company reports, and online publications related to Tokopedia's technology systems. The analysis focuses on hardware, software, networks, data, and human resources components within the ITI system. The results indicate that Tokopedia possesses a robust ITI, based on cloud computing and microservices architecture, which supports scalability, security, and operational efficiency. The implementation of technologies such as big data, artificial intelligence, and API integration are key to enhancing user experience and internal effectiveness. The study concludes that Tokopedia's success in delivering reliable e-commerce services largely depends on its adaptive and integrated IT infrastructure, as well as continuous investment in technology development and human capital. This research highlights the strategic importance of ITI in enhancing competitiveness and innovation in the e-commerce industry.

Diabetes is the body’s inability to efficiently break down sugar or secrete enough insulin required to process glucose, which supports normal bodily functions. Diabetes, as a prevalent chronic disorder, has contributed to numerous underlying health challenges among its carriers and is classified by the WHO as the world’s deadliest disease and silent killer. Its non-communicable nature makes early diagnosis difficult, allowing progression through various stages: type I, type II, pre-diabetes, and gestational. This challenge is further compounded by the imbalanced nature of diabetes datasets, which leads to high misclassification, poor generalization, and reduced accuracy. This study predicts diabetes using a bi-directional long short-term memory (BiLSTM) model applied to two datasets: (a) PIMA Indian Diabetes and (b) Iraqi Society Dataset, to evaluate the impact of six known balancing techniques and assess their effectiveness. Results show that for PID, the SMOTE-Tomek fused BiLSTM outperforms other balancing schemes with F1, Accuracy, Precision, Recall, and Specificity scores of 0.9182, 0.9198, 0.9128, 0.9248, and 0.9208, respectively. For ISD, it also achieves the best performance with values of 0.9367, 0.9369, 0.9386, 0.9388, and 0.9313, respectively. Other balancing approaches yielded F1 scores ranging from [0.6751 to 0.9347], accuracy [0.684 to 0.9358], Precision [0.6851 to 0.9296], Recall [0.6639 to 0.9356], and specificity [0.6658 to 0.9298]. These results imply that BiLSTM is resilient to the vanishing gradient problem and can effectively classify diabetes cases with enhanced performance.

Problem solving skills must be familiar to students in any condition. However, during the pandemic, students have not optimally mastered this ability. At the end of the pandemic, case study-based hybrid learning is highly recommended in higher education. The objective of this research is to analyze the effectiveness of case study-based hybrid learning on problem solving skills which are detailed: (1) analyzing the completeness of students' problem solving ability of case study-based hybrid learning classically, (2) analyzing the completeness of students' problem solving ability of case study-based hybrid learning based on Mathematics Initial Ability (MIA), (3) analyzing the difference in the completeness of students' problem solving ability of case study-based hybrid learning with problem-based hybrid learning, (4) analyzing the difference in students' problem solving ability of case study-based hybrid learning with problem-based hybrid learning based on MIA. This quantitative research took 6th-semester students of the Mathematics Education Study Program of Universitas Negeri Semarang who took the Statistics of Education course in the 2021/2022 academic year as the population. Of the 6 class, 2 class were selected as samples, by random sampling. The research design used a post-only control design. How to collect data with a problem solving ability test. Data were analyzed using the z-test, and independent t-test. From the research obtained the results (1) the problem solving ability of students of Hybrid learning based on case study problems is classically complete both by mean and proportion, (2) students with high MIA, and medium, are complete by mean and proportion, while students with low MIA have not completed by mean and proportion, (3) there is no difference in the completeness of the problem solving ability of students of hybrid learning based on case study problems with hybrid learning based on problems, (4) there is a difference in the problem solving ability of medium MIA, there is no difference in low and high MIA in both learning models.
Kemampuan pemecahan masalah harus dibiasakan bagi mahasiswa dalam kondisi apapun. Namun pada masa pandemi, mahasiswa belum secara maksimal menguasai kemampuan tersebut. Di masa pandemi berakhir, pembelajaran hybrid berbasis studi kasus sangat dianjurkan di perguruan tinggi. Tujuan penelitian ini adalah untuk menganalisis efektivitas pembelajaran hybrid berbasis studi kasus terhadap kemampuan pemecahan masalah yang dirinci: (1) menganalisis ketuntasan kemampuan pemecahan masalah mahasiswa pada pembelajaran hybrid berbasis studi kasus secara klasikal, (2) menganalisis ketuntasan kemampuan pemecahan masalah mahasiswa pada pembelajaran hybrid berbasis studi kasus berdasarkan Kemampuan Awal Matematika (KAM), (3) menganalisis perbedaan ketuntasan kemampuan pemecahan masalah mahasiswa pada pembelajaran hybrid berbasis studi kasus dengan pembelajaran hybrid berbasis masalah, (4) menganalisis perbedaan kemampuan pemecahan masalah mahasiswa pada pembelajaran hybrid berbasis studi kasus dengan pembelajaran hybrid berbasis masalah berdasar KAM. Penelitian kuantitatif ini mengambil mahasiswa semester 6 Program Studi Pendidikan Matematika Universitas Negeri Semarang yang mengambil mata kuliah Statistika Pendidikan tahun ajaran 2021/2022 sebagai populasinya. Dari 6 kelas dipilih 2 kelas sebagai sampel, dengan cara random sampling. Desain penelitian menggunakan post-only control design. Cara pengambilan data dengan tes kemampuan pemecahan masalah. Data dianalisis menggunakan uji z, dan uji t independen. Dari penelitian diperoleh hasil (1) kemampuan pemecahan masalah mahasiswa pada pembelajaran Hybrid berbasis permasalahan studi kasus tuntas secara klasikal baik mean maupun proporsinya, (2) mahasiswa dengan KAM tinggi dan sedang tuntas secara mean dan proporsinya, sedangkan mahasiswa dengan KAM rendah belum tuntas secara mean dan proporsi, (3) tidak terdapat perbedaan ketuntasan kemampuan pemecahan masalah mahasiswa yang pembelajaran hybrid berbasis masalah studi kasus dengan pembelajaran hybrid berbasis masalah, (4) terdapat perbedaan kemampuan pemecahan masalah KAM sedang, tidak terdapat perbedaan KAM rendah dan tinggi pada kedua model pembelajaran.

Teachers provide dedication to students to convey knowledge. In addition, teachers also play a role in educating, guiding, and training students so that they can understand the material being taught. Teachers have a very significant role in creating a superior and quality generation. The Principal at SDN Weetame does not utilize the application in the process of selecting qualified and competent teachers or instructors. Researchers observed and designed A selection support system for determining the best instructors implementing multi-attribute-based decision-making method, namely the WP (Weighted Product) method. The outcomes of this study reveal that SPK application can be used easily and produce decisions quickly so that the Principal can make the right choice.

Predicting credit worthiness is an important step for banks to reduce the risk of bad credit. This research compares the performance of four classification algorithms, namely SVM, Naïve Bayes, Random Forest and Decision Tree using simulated datasets. The results obtained on the metrics of accuracy, precision, recall, F1 score, and AUC-ROC, show that Decision Tree has the best performance with 42.5% accuracy, 48.3% precision, 47.5% recall, 47.5% F1 score, and AUC 0.60, indicating its ability to is in differentiating credit worthiness. Random Forest achieved an accuracy of 37.5% and an AUC of 0.493, while Naïve Bayes had the lowest accuracy with an accuracy of 27.5% and an AUC of 0.425. SVM gives better results than Naïve Bayes but is still inferior to Decision Tree. This research recommends implementing a Decision Tree as the main model with optimization through hyperparameter tuning, adding relevant features, and handling data accounting. These results are expected to support banking decision making more effectively and efficiently.

The compulsive impact of human-caused climate change is now considered more of an environmental issue than a national security threat. The latest 2030 Agenda, the Sustainable Development Goals (SDGs), has a transformational vision to achieve universal literacy worldwide, including Indonesia. Addressing climate change is Goal 13 of 17 SDGs. This study uses a qualitative research method with a linear research strategy to develop hybrid-education media in the form of printed pamphlet media with Augmented Reality (AR) technology applications that run on the Web platform, namely WebAR. The procedure is triggered by the target image of the pamphlet, and the basic HTML structure uses the A-Frame 3D framework. This framework allows for 3D modeling and animation to be loaded into WebAR. This study shows that WebAR-based hybrid-education media can be used as an interactive means to study climate change issues and increase awareness and understanding of climate actions relevant to Goal 13 of the SDGs. The results also show that this media can increase public engagement in combating climate change issues.

UMKM Jemari Ragil has successfully digitized its business by joining the e-commerce platform Shopee since September 2023 and reached international markets such as Malaysia. Although marketing strategies through Instagram, WhatsApp, and TikTok are effective, challenges arise from the limited understanding of technology by customers, who often need guidance in using E-commerce. This research aims to implement React JavaScript for the Jemari Ragil' MSME website. The goal is to overcome the main obstacles faced by the owner of Jemari Ragil. The research method includes problem and needs analysis, design and system design, implementation or application development, and system testing. The result of this research is the successful implementation of JavaScript React to build an efficient and interactive MSME website interface. Through the results of Usability Testing system testing and measured using the System Usability Scale (SUS) which resulted in a score of 76 with a good category, indicating that the system can be accepted by users and meets the established usability standards.

This program aims to empower children at the Tunas Bangsa Orphanage, Labuhanbatu Regency, by teaching creative skills in utilizing scrap fabric into products with sales value. In this activity, scrap fabric which is usually considered as textile waste will be processed into products such as scrunchies, hair bands, and bandanas that can provide economic opportunities for children in the orphanage. In addition, this program also aims to increase environmental awareness by teaching the importance of sustainable textile waste management and environmental ethics. This training is complemented by the values ??of Citizenship Education (PKN), such as social responsibility and mutual cooperation, which aim to shape the character of children who care about the environment and society. It is hoped that through this program, children can develop creative skills, foster a spirit of social entrepreneurship, and play an active role in preserving the environment. This program also opens up opportunities for them to achieve economic independence and contribute to a broader environmental conservation movement.

This study aims to examine the implementation of IT service management based on the ITIL framework at PT Paragon Technology and Innovation, a prominent Indonesian cosmetics company leveraging information technology across its operations. A case study method was employed to describe the actual application of IT infrastructure, the IT service lifecycle, and role distribution through the RACI model. The findings reveal that PT Paragon has adopted most ITIL processes, particularly in incident management, system testing, and cloud-based infrastructure monitoring. The RACI model has been effectively utilized to define responsibilities across departments. This study recommends enhancing information security systems and fully adopting the Continual Service Improvement (CSI) framework.