Tujuan penelitian ini untuk menganalisis pengaruh Profitabilitas terhadap Nilai Perusahaan, serta mengetahui hasil dari pengaruh tersebut dimediasi oleh Keputusan Investasi, Kebijakan Dividen, dan Relevansi Nilai Informasi Akuntansi. Populasinya adalah seluruh perusahaan manufaktur di Bursa Efek Indonesia (BEI) dengan jumlah 178 perusahaan dengan periode penelitian selama tahun 2016 sampai dengan tahun 2020. Sampel yang diambil dalam penelitian ini adalah sebanyak 105 data perusahaan selama lima tahun. Teknik pengambilan sampel yang digunakan adalah purposive sampling pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2016-2020. Alat analisis yang digunakan dalam penelitian ini adalah Path Analysis dengan bantuan SPSS. Hasil penelitian menunjukkan bahwa koefisien determinasi dalam penelitian ini adalah nilai Adjusted R Square sebesar 56,7%. Artinya, bahwa variabel Nilai Perusahaan mampu dijelaskan oleh variabel Keputusan Investasi, Kebijakan Dividen,dan Relevansi Nilai Informasi Akuntasi. Sedangkan untuk uji statistik F menunjukkan bahwa variabel Profitabilitas, Keputusan Investasi, Kebijakan Dividen,dan Relevansi Nilai Informasi Akuntansi terhadap Nilai Perusahaan adalah model yang diterima dan layak untuk digunakan. Dan hasil pengujian hipotesis secara parsial menunjukkan bahwa terdapat pengaruh antara Profitabilitas, Keputusan Investasi,dan Kebijakan Dividen terhadap Nilai Perusahaan, serta Profitabilitas terhadap Kebijakan Dividen. Sedangkan untuk Relevansi Nilai Informasi Akuntansi terhadap Nilai Perusahan,Protabilitas terhadap Keputusan Investasi,dan Profitabilitas terhadap Kebijakan Dividen menunjukkan hasil tidak berpengaruh.

The preaching of the word of God does not focus on the position of pastor, or ordained minister, but rather the duties and responsibilities of every believer. The progress of the era changes all elements of society, both from the economy, social, culture, politics without exception in the ministry of preaching the word of God. The problems and challenges in the 4.0 era are still not finished, the 5.0 era is now here and has become a special problem and challenge for everyone, especially believers and this must be faced by the church. To answer this challenge, the author uses descriptive qualitative research seen from existing phenomena and interviews with church leaders. How do the church and believers respond to this and take advantage of digital opportunities in delivering the preaching of the Word of God based on digital era 5.0 without ignoring conventional methods but empowering technology and mastering technology in preaching the word of God because technology is able to break down dividing walls and connect them in a network and the preaching of the word of God continues to occur on the digital platform even though the preacher is not preaching the word of God.

In a context where students face increasingly complex academic choices, this work proposes a recommendation system based on Bayesian networks to guide new baccalaureate holders in their university choices. Using a dataset containing variables such as secondary school section, gender, type of school, percentage obtained, age, and first-year honors, we have constructed a probabilistic model capturing the dependencies between these characteristics and the option chosen. The data is collected at the Catholic University of Bukavu, the Official University of Bukavu, and the Higher Institute of Education of Bukavu, preprocessed and then used to learn the structure via the hill-climbing algorithm with the BIC score using R's bnlearn tool. The model enables us to estimate the probability that a candidate will choose a given stream, depending on their profile. The approach has been validated using metrics such as BIC, cross-validation, and bootstrap and offers a good compromise between interpretability and predictive performance. The results highlight the potential of Bayesian networks in constructing explainable recommendation systems in the field of academic guidance. The system produces orientation probability maps for each candidate, which can be used by enrollment service advisers, as well as an ordered list of options relevant to the candidate's profile. With a remarkable performance on a test sample of precision@k=0.85, recall@k=0.61, ndcg=0.8, and Map=0.88, it constitutes an effective lever for reducing the risk of being misdirected in universities in South-Kivu, in the Democratic Republic of Congo

This study explores the application of the normal distribution in analyzing the height data of Mathematics Education students at FMIPA Universitas Negeri Medan in 2024. Employing a quantitative descriptive-analytic methodology, the research involved collecting primary data from 10 randomly selected students through a questionnaire-based survey. Descriptive statistical analysis revealed a mean height of 161.4 cm with a standard deviation of 8.79 cm. The median height was found to be 164 cm, while the mode was 150 cm, indicating a slightly skewed distribution. To assess the suitability of the normal distribution model, the Shapiro-Wilk test was applied, resulting in a W value of 0.921 and a p-value of 0.361, which exceeds the 0.05 significance level. This confirms that the sample data follow a normal distribution pattern. The findings were further supported through visual representation using histograms and analysis based on the empirical rule, which showed that approximately 68% of the students' heights fall within one standard deviation of the mean (152.81–169.99 cm). Additionally, probability calculations demonstrated that the likelihood of a student being 160 cm tall or shorter is approximately 43.64%. These results validate the effectiveness of the normal distribution as a tool for analyzing biological or physical characteristics, even in small sample sizes. However, the study acknowledges its limitation in terms of sample size and suggests that future research involve larger and more diverse populations to enhance generalizability. The study highlights the relevance of normal distribution in statistical modeling, particularly for educational and health-related data interpretation and decision-making processes.

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang dapat meningkatkan pertumbuhan UMKM Non-Bankable di Kota Semarang. Variabel independen dalam penelitian ini yaitu akses keuangan dan literasi keuangan. Variabel dependen dalam penelitian ini adalah pertumbuhan UMKM Non-Bankable dengan teknologi informasi sebagai variabel mediasi.
Penelitian ini menggunakan metode kuantitatif dengan menggunakan kuisioner untuk mengumpulkan data yang dibutuhkan. Sampel dalam penelitian ini sebanyak 100 pelaku usaha UMKM Non-Bankable di Kota Semarang. Analisis yang digunakan berupa analisis jalur menggunakan PLS 3.3.1.
Hasil penelitian ini menunjukkan bahwa akses keuangan dan teknologi informasi berpengaruh terhadap pertumbuhan UMKM Non-Bankable. Begitu juga dengan variabel akses keuangan yang juga memiliki pengaruh terhadap teknologi informasi. Sedangkan variabel literasi keuangan tidak berpengaruh terhadap teknologi informasi dan pertumbuhan UMKM Non-Bankable. Teknologi informasi belum tepat digunakan sebagai mediasi pertumbuhan UMKM Non-Bankable karena karakteristik pelaku usaha yang masih konvensional dalam menjalankan kegiatan usahanya.

This study aims to improve the cognitive development of children aged 4–5 years through observation of learning activities in a kindergarten. This study uses a descriptive observation method with five children as subjects. Observations were conducted for two days to observe children's abilities in several cognitive aspects, including the ability to find solutions when facing difficulties, group small and large objects, mention numbers 1–10, and distinguish between various colors. Data were collected through field notes using assessment instruments compiled based on indicators of early childhood cognitive development. The results of the study showed that most children were in the Very Well Developed (BSB) category for all observed indicators, although there were some children who were in the Developing According to Expectations (BSH) category. These findings indicate that the learning strategies implemented by educators have been able to stimulate cognitive development optimally, and can be used as a reference in compiling further learning programs.

This research aims to analyze mung bean seed viability through germination observations under two different treatments. Observations were conducted over 15 days, measuring parameters including germination rate, normal seed count, abnormal seed count, and seed mortality rate. Results showed significant differences between treatments, with treatment 1 achieving 72% germination rate while treatment 2 reached 64%.

Program Wirausaha Merdeka merupakan bagian dari kebijakan Merdeka Belajar Kampus Merdeka (MBKM) yang bertujuan untuk mendorong kemandirian ekonomi mahasiswa melalui pengembangan jiwa kewirausahaan. Program ini berlangsung selama hampir 5 bulan dan melibatkan sejumlah kegiatan, mulai dari workshop materi dengan wirausahawan yang telah berpengalaman, kegiatan magang, kegiatan pitching proposal bisnis, pembuatan prototype atau produk inovatif oleh mahasiswa, serta kegiatan pemasaran produk mahasiswa kepada masyarakat. Hasil dari program ini memberikan dampak positif dalam membentuk mindset kewirausahaan, meningkatkan keterampilan praktis, serta memperkuat keberanian mahasiswa untuk memulai dan mengelola usaha secara mandiri  sehingga menunjukkan bahwa Program Wirausaha Merdeka berperan signifikan dalam menumbuhkan kemandirian ekonomi mahasiswa, sekaligus mendukung pengembangan ekosistem kewirausahaan di lingkungan perguruan tinggi.

With the rapid increase in global population and the ongoing depletion of agricultural land, food security faces an escalating threat. CRISPR genetic engineering technology offers immense potential to enhance crop resilience and productivity. However, its application raises significant ethical concerns, both from a bioethical perspective and within the framework of Islamic values. This article examines core principles of bioethics and Islamic ethics to explore the morally conscious integration of genetic technology. Through a comprehensive literature review, it underscores the necessity of a collaborative approach involving scientists, policymakers, and religious leaders to establish ethical guidelines for its responsible use. The findings highlight the critical need to strike a balance between technological innovation and the preservation of moral principles. By adhering to ethical standards rooted in both modern bioethics and Islamic teachings, genetic technologies such as CRISPR can be harnessed to address food security challenges by improving crop productivity and fortifying resistance to diseases and extreme environmental stressors, without compromising moral integrity.

This research examines quantitative approaches in flower dissection, with a focus on measuring symmetry and flower structure using mathematical formulas. This research aims to develop an objective method for analyzing flower morphology to support taxonomic, evolutionary and ecological studies of plants. Data was collected through morphometric measurements on various flower species with radial and bilateral symmetry characters. Parameters measured include petal length, corolla width, spreading angle, and number of reproductive parts. The analysis was carried out using geometric formulas to calculate the symmetry index and proportions of the flower structure. The research results show that flowers with radial symmetry have a higher symmetry index value than flowers with bilateral symmetry. Additionally, variations in flower structure were found to correlate with ecological adaptations, such as pollination strategies by insects or wind. This approach successfully revealed consistent mathematical patterns in floral design, providing new insights into the relationship between structure and biological function. This study shows that quantitative approaches can increase precision in the analysis of flower morphology, while providing a new tool for exploring the evolutionary dynamics of plants. This method can be applied to cross-disciplinary research involving morphology, genetics and plant ecology.