The primary focus of this research is to examine the pivotal role of Artificial Intelligence (AI) in driving business transformation, with a specific emphasis on its impact within the realm of human resource management (HR). The study seeks to assess the substantial influence brought about by the incorporation of AI in HR. Online data collection involved 110 respondents with professional backgrounds in HR. In pursuit of enhancing entrepreneurial success, the research adopts the Smart Partial Least Square (Smart PLS) approach to seamlessly integrate artificial intelligence into HR management. The analysis using Smart PLS delves into the examination of AI's effects on the recruitment process, employee development, and performance management. The findings of the research reveal that the utilization of AI in HR significantly expedites processes, enhances decision accuracy, and positively contributes to the attainment of entrepreneurial objectives. The practical implications of these outcomes are thoroughly discussed, and potential avenues for future research are outlined. This not only provides valuable insights for stakeholders but also offers guidance on optimizing the application of AI in the context of human resource management.

Numerous fog computing apps and services are emerging as a result of the large volumes of data produced by systems based on fog computing. Additionally, the crucial field of machine learning (ML), which has made significant advancements in several academic areas, incorporating speech recognition, robotics, and neuromorphic computing, in addition to computer graphics and natural language processing (NLP).. The aim of current research provided insight into providing a list of the fog computing-related ML operations. The security, capacity, and latency standards for networks must be met by many IoT applications. Cloud computing does not, however, satisfy these needs. Today's technology can satisfy these objectives, and edge computing is one such option. The model enables traffic analysis and sensor data analysis. The management of resources, accuracy, and security are three areas of fog computing that we highlight in this thorough assessment of the most recent advancements in ML approaches. Additionally highlighted is the function of ML in edge computing. Additional viewpoints on the ML domain are presented, including those on the different kinds of application support, techniques, and datasets. Finally, open questions and research difficulties are highlighted.

Di era yang sudah canggih ini banyak sekali teknologi teknologi yang dapat membantu dalam berbagai bidang, salah satunya adalah di bidang pendidikan sudah sebaiknya di dunia pendidikan pada saat ini memanfaatkan teknologi. Penelitian ini bertujuan untuk mengembangkan proses belajar mengajar yang berkualitas dengan menggunakan teknologi Industri 4.0 di lingkungan pendidikan. Dan tujuan utama dari artikel ini adalah untuk mengusulkan institusi berbasis masyarakat (perusahaan, pemerintah, dan akademisi) untuk mengembangkan pendidikan 4.0. Rancangan tersebut dijabarkan melalui pandangan sistem yang tertata dengan baik berdasarkan praktik baik, tantangan dan peluang dalam pendidikan 4.0, dengan mempertimbangkan literatur teknis-ilmiah. Karya ilmiah utama ini berkontribusi pada penciptaan pengetahuan pendidikan 4.0 baru dan memperluas serta memperdalam literatur yang ada dan dapat mendukung penelitian baru dan mendorong inisiatif pada subjek tersebut. Kontribusi terapan utamanya adalah peningkatan akses pendidikan berkualitas melalui pengembangan pendidikan 4.0. Karya ini dikembangkan melalui tinjauan sistematis literatur teknis-ilmiah dalam pendidikan 4.0. Dalam metode penelitian ini menggunakan tinjauan literatur yang sistematis berdasarkan analisis kritis terhadap literatur yang dapat mengidentifikasi studi yang paling relevan.

The time constraints at the end of the semester often lead to suboptimal delivery of circulatory system materials, which consequently affect students' learning outcomes. Hence, this research aims to delve into the impact of applying the RCCR (Reflect-Collaborate-Convey-Record) approach based on Hybrid Learning on enhancing cognitive learning outcomes. This study utilizes a quasi-experimental design, encompassing a control group with pretests and posttests, though they are not equivalent. Evaluation of cognitive learning outcomes involves multiple-choice questions in both the pretest and posttest phases. The data from these evaluations are quantitatively analyzed in-depth. After the learning process, the average posttest score for the control group reached 71.61, while the experimental group achieved a score of 81.25. Statistical analysis indicates a significant difference in posttest results between the experimental and control groups. The analysis of change scores (N-gain) also shows a significant difference between the experimental and control groups (p<0.05). These findings highlight a strong connection between cognitive learning outcomes and metacognitive skills mastery (r=0.83). Consequently, this learning model presents a valuable alternative for overcoming classroom time constraints and effectively enhancing cognitive learning outcomes.

In English : This study aims to determine and also analyze the information system on purchases, especially purchases of goods made by the customer at PT.ABC will help in the management of corporate purchases. The research method used in this study is qualitative research, which is needed to get a picture of the relationship between the subject and the object under study. Where the subject is PT. ABC, as for the object is the information system of purchasing goods by customers. Data collection used in this study through the process of interviews, observation and literature study. To overcome the problems in this research, an information system design for managing consumer purchase transaction data was made to be built using the PHP programming language and Microsoft Access database. Analysis of the data used is to use user analysis and analysis of the current system. The results achieved in this study are able to simplify and speed up data access by updating the financial section, the purchasing department, and the purchasing manager in this case greatly helps the company in monitoring goods. In Indonesian : Penelitian ini bertujuan untuk mengetahui dan juga menganalisis sistem informasi pada pembelian khususnya pembelian barang yang dilakukan oleh costumer pada PT.ABC akan membantu dalam manajemen pembelian perusahaan. Metode penelitian yang digunakan pada penelitian ini adalah penelitian kualitatif, yang diperlukan untuk mendapatkan gambaran antara hubungan pada subjek dan objek yang diteliti. Dimana subjeknya adalah PT. ABC, adapun objeknya adalah sistem informasi pembelian barang oleh customer. Pengumpulan data yang digunakan dalam penelitian ini melalui proses wawancara, observasi dan studi pustaka. Untuk mengatasi permasalahan dalam penelitian ini maka dibuatlah suatu perancangan sistem informasi pengelolahan data transaksi pembelian consumer yang akan dibangun dengan menggunakan bahasa pemrograman PHP dan database microsoft acces. Analisis data yang digunakan adalah menggunakan analisis pengguna dan analisis sistem yang berjalan saat ini. Hasil yang dicapai dalam penelitian ini adalah dapat mempermudah dan mempercepat akses data secara update pada bagian keuangan, bagian pembelian, dan manager pembelian dalam hal ini sangat membantu perusahaan dalam memonitor barang.

With job satisfaction acting as a mediating variable, the purpose of this study is to evaluate the impact of organizational culture, work environment, and work motivation on nurse performance. This study involved 48 nurses and was carried out in Jakarta. A Likert scale of 1 to 5 was used for 34 questions on the questionnaire, which was distributed as part of the census sampling procedure to collect data. The SEM approach based on PLS was used to analyze the data. The study's findings indicate that the XYZ Community Health Center (Puskesmas) nurses performance is influenced by organizational culture, the work environment, and job satisfaction. This research model is still intriguing and will hopefully add to the performance literature despite a number of limitations