Universitas Muhammadiyah Gresik (UMG) uses two main information systems to support academic and learning processes, namely the Academic Information System (SIAKAD) and the Online Learning System (SPADA). These two systems have not been integrated, causing inefficiencies in managing academic data such as attendance, assessment, and management of learning materials. This research aims to design integration between SIAKAD and SPADA using Object-Oriented Analysis and Design (OOAD) method with bottom-up approach. The OOAD method was chosen because of its ability to model the system in a structured and object-oriented manner without changing the main structure of the system that is already running, through the Unified Modeling Language (UML) diagram. The results showed that the integration of the two systems can improve the efficiency of academic data management, reduce the risk of data errors, and facilitate the administration and learning process for lecturers, students, and administrative staff. In addition, this integration is expected to reduce duplicate processes and facilitate users by providing a centralized system.

Universitas Muhammadiyah Gresik (UMG) uses two main information systems to support academic and learning processes, namely the Academic Information System (SIAKAD) and the Online Learning System (SPADA). These two systems have not been integrated, causing inefficiencies in managing academic data such as attendance, assessment, and management of learning materials. This research aims to design integration between SIAKAD and SPADA using Object-Oriented Analysis and Design (OOAD) method with bottom-up approach. The OOAD method was chosen because of its ability to model the system in a structured and object-oriented manner without changing the main structure of the system that is already running, through the Unified Modeling Language (UML) diagram. The results showed that the integration of the two systems can improve the efficiency of academic data management, reduce the risk of data errors, and facilitate the administration and learning process for lecturers, students, and administrative staff. In addition, this integration is expected to reduce duplicate processes and facilitate users by providing a centralized system.

The use of information technology in companies is a crucial element to support business process effectiveness and efficiency. However, it also presents various challenges and risks that need to be managed properly. Risk management is key to protecting company value, optimizing strategies, and securing assets. PT. Eterindo Nusa Graha, as an industrial company relying on information technology, faces risks related to data, software, hardware assets, as well as threats from natural, system, infrastructure, and human resources. To address these issues, the company implements the ISO 31000:2018 framework, known for its flexibility and structured approach in identifying, assessing, and managing risks. Analysis results show that out of 16 identified risks, 5 are categorized as low, 10 as medium, and 1 as high. This indicates that most risks are still controllable, although effective mitigation strategies are needed, especially for high-category risks. The implementation of ISO 31000:2018 at PT. Eterindo Nusa Graha has helped the company protect critical assets, build stakeholder trust, and ensure smooth business processes. Thus, the company has demonstrated good risk management capabilities, although it still needs to focus more on high risks to minimize potential impacts.

The use of information technology in companies is a crucial element to support business process effectiveness and efficiency. However, it also presents various challenges and risks that need to be managed properly. Risk management is key to protecting company value, optimizing strategies, and securing assets. PT. Eterindo Nusa Graha, as an industrial company relying on information technology, faces risks related to data, software, hardware assets, as well as threats from natural, system, infrastructure, and human resources. To address these issues, the company implements the ISO 31000:2018 framework, known for its flexibility and structured approach in identifying, assessing, and managing risks. Analysis results show that out of 16 identified risks, 5 are categorized as low, 10 as medium, and 1 as high. This indicates that most risks are still controllable, although effective mitigation strategies are needed, especially for high-category risks. The implementation of ISO 31000:2018 at PT. Eterindo Nusa Graha has helped the company protect critical assets, build stakeholder trust, and ensure smooth business processes. Thus, the company has demonstrated good risk management capabilities, although it still needs to focus more on high risks to minimize potential impacts.

This study aims to analyze the relationship between gadget usage and sleep quality among high school students at SMA Pertiwi Medan. Excessive gadget use, especially before bedtime, is often associated with sleep pattern disturbances that can affect students' sleep quality. This research employs a quantitative method with a descriptive correlational approach. Data were collected through questionnaires involving 100 students selected using random sampling techniques. The results show a significant relationship between the duration and frequency of gadget use and students' sleep quality. The higher the intensity of gadget use, the lower the quality of sleep experienced by students. Factors such as usage time, types of activities on gadgets, and sleep duration also influenced the findings. These results provide important implications for students, teachers, and parents to regulate gadget usage

The study aims to find a structural fit model related to students’ readiness to face the digital economy in the perspective of irrational behavioral economic theory. The study uses quantitative Explanatory research with a population of undergraduate students of Economics Education at the East Java PGRI College and uses a proportional random sampling with total of 351 students. Data were collected by questionnaires using linkert scale and were analysed by SEM-PLS data analysis . The findings show that digital economic skills don’t significantly mediate the relationship between herd behavior, loss aversion, and student readiness. However, the digital economy succeeded in mediating the influence of confirmation bias on student readiness because of helped reduce the impact of confirmation bias on student readiness by offering access to diverse information and developing critical thinking skills. This study contributes are become theoretical literature on the functional relationship between irrational behavior, digital economic skills, social support and student readiness studied in the context of behavioral economics. It can be a reference for developing educational models in digital era learning and reference for further researchers to develop appropriate policy recommendations by involving several related stakeholders.

This research aims to determine and test the influence of several financial ratios, namely liquidity, leverage, sales growth and debt maturity on financial performance. This type of research is quantitative research that uses secondary data sourced from the website www.idx.co.id. The population in this study are food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange with an observation period of 2018-2022. The sampling technique used a purposive sampling method and a total sample of 44 companies was obtained. The analysis method in this research uses a multiple linear regression test with the research results showing that the current ratio and sales growth have a significant effect in a positive direction on financial performance, while leverage and debt maturity have a significant effect in a negative direction on financial performance.

This study compares four classification models—Logistic Regression, Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Adaptive Boosting (AdaBoost)—to predict women's labor force participation in West Java, using a dataset of 62 features. After feature selection, the dataset was reduced to 31 features, followed by modeling with the top 10 most important features from each model. Model performance, evaluated using Balanced Accuracy, F1-Score, and Cohen’s Kappa, showed similar results, with RF and XGBoost slightly outperforming the others. However, the differences were not significant, indicating comparable predictive ability across models. The top 10 features from each model were averaged, and the five most influential features were selected. Key factors influencing women's employment status include household responsibilities, age, education, district minimum wage, and the age of the youngest child. The analysis found that 79.6% of unemployed women manage household duties, while employed women are less involved (18.9%). Age was significant, with employed women mostly in the 35-55 age range, correlating with older children and greater workforce participation. Additionally, employed women are more likely to come from regions with lower minimum wages, suggesting that economic necessity drives their labor market participation.
Keywords: female labor force, machine learning, classification, West Java

Pengembangan website yang optimal membutuhkan pemilihan framework yang tepat untuk meningkatkan kinerja dan efisiensi. Penelitian ini bertujuan untuk membandingkan kinerja dan konsumsi energi framework React dan Vue, menggunakan metrik seperti FCP, LCP, SI, TBT, CLS dengan menggunakan Google Lighthouse. Kinerja rendering time, dan penggunaan memori menggunakan Google DevTools. Konsumsi energi diukur dengan menggunakan tools Globemallow. Penelitian ini menggunakan metode pendekatan kuantitatif dengan metode true-experimental research. Metode ini dipilih karena memungkinkan pengukuran sistematis dan objektif melalui variabel-variabel dalam kondisi terkontrol, sesuai tujuan penelitian. Eksperimen dimulai dari mengembangkan halaman website kemudian menyiapkan perangkat keras setelah itu melaksanakan skenario pengujian kemudian menganalisis dan menginterpretasikan data yang didapatkan. Hasil penelitian menunjukkan bahwa Vue memiliki kinerja lebih unggul berdasarkan pengujian kinerja rendering time dan kinerja FCP, LCP, TBT, CLS, dan SI, sementara React lebih efisien dalam penggunaan memori, dan konsumsi energi. Temuan ini memberikan rekomendasi framework yang optimal berdasarkan kebutuhan kinerja dan keberlanjutan untuk pengembangan aplikasi web.
 
Kata kunci: React, Vue, Kinerja Website, Penggunaan Energi, Google Lighthouse.

Purpose: This research aims to develop a system interface design solution to address the university’s knowledge management problem with exam proctors. Developing a knowledge management system is expected to maintain the integrity of examinees and reduce the risk of plagiarism. This research identifies user needs in business processes and maps them to relevant features based on previous research.
Methods: This research adopted a user-centered design methodology in developing interface design solutions, which consisted of four stages: understanding the context of use, specifying user requirements, designing solutions, and evaluating against requirements. Semi-structured interviews were used for data collection, and a system usability scale (SUS) questionnaire was employed for design solution evaluation.
Result: This research identified the needs of business processes in higher education in the context of exam proctors and mapped them to a suitable feature solution. Recommendations for information architecture and knowledge management system design implementation in higher education were also provided. This research achieved a SUS score of 74.8, indicating that the developed system met users’ needs.
Novelty: This research provides a practical implementation of developing a knowledge management system in higher education with user-centered design.