The purpose of this study was to determine the effect of leadership on the performance of regional office employees in the Ministry of Riau province. The population used in this study was 181 people. The sampling method uses the slovin formula in analyzing data obtained from research objects using quantitative analysis and the number of respondents is 65 people. The results of data processing through SPSS data analysis using the simple linear regression method with the results Y = 18.184 + 0.867x, from the t test there is a t count of 6.374 it can be seen that the value of t count > t table (6.374 > 1.99834) means that leadership has a significant effect on performance employees at the Regional Office of the Ministry of Religion of Riau Province. it can be seen that the R square value is 0.392, this means that the leadership variable (X) contributes or contributes to the dependent variable where the leadership is 0.392 or 39.2% while the remaining 60.8% is influenced by other variables not examined in this study. this research.

This study analyzes the relationship between intercultural communication competence and cultural empathy in Madura ethnic nomadic students. As a group that often faces challenges in cross-cultural communication, migrant students need to have high adaptability in order to interact effectively in diverse academic and social environments. This study aims to understand how the process of cross-cultural communication can shape the cultural empathy of Madura ethnic nomadic students, as well as how factors such as cross-cultural awareness, ease of perspective, feelings of empathy, and expressions of empathy contribute to their adaptation. This study uses a qualitative approach with an in-depth interview method of Madurese ethnic nomadic students spread across several provinces in Indonesia. The results of the study show that effective cross-cultural communication can help students in adjusting to a new environment, increasing comfort in interacting, and strengthening cultural empathy. Key factors contributing to this process include the ability to understand cultural differences, language skills, as well as a willingness to participate in the local culture.

Force is one of the most fundamental concepts in physics, used to describe and explain a wide range of phenomena. Students can use force diagrams to learn about fundamental force concepts and solve problems related to forces. However, a limited study has focused on students’ views in drawing force diagrams. This study aims to explore students’ views about force diagrams while solving physics problems. A qualitative study was conducted to explore students’ views on drawing and using force diagrams when solving force problems, involving 18 physics education students. Before the semi-structured interviews were conducted, the students were given two force problems to solve. All interviews were recorded, transcribed, and coded for analysis. Data from the interview was analyzed using NVivo software. This study identified five themes related to students’ views on force diagrams: purposes, conventions, physics concepts, mathematical concepts, and incomplete diagrams. The most frequently mentioned theme by students was the purpose of drawing force diagrams. Students’ knowledge about force concepts and trigonometry also affected their diagrams. Students had different ways to draw diagrams, either on the dot or on the object, and had reasons for drawing the incomplete force diagrams. These findings suggest that students should possess sufficient knowledge of physics and mathematics to draw force diagrams effectively. Students should also understand when force diagrams are applicable and recognize the advantages of drawing them. This study suggests that to support students' effective understanding of force diagrams, educators should employ appropriate strategies and equip students with the skills to create and utilize force diagrams while learning about force concepts and solving problems.

English as an international language is an important language to be proficient in since it is used all over the globe. English is not an easy language to learn. Understanding phrases or expressions is very important when speaking English. The foundation for making sentences in English is to first understand words that are often used in everyday life (everyday vocabulary) and being able to effectively construct sentences that can be understood by others is a prerequisite for being able to compose sentences in English. The method used in the implementation of community service at SMPI Darul Muminin Bekasi school is the visual method and English card. The method of forming sentences using English cards emphasizes the ability of students to understand sentences using learnt vocabulary that is used to be assembled in a plot of a story. The application of the game technique method of composing sentences using English cards is considered very effective and fun, it is hoped that one day this method can be used as a model to develop learning activities in the classroom.

Pendampingan penyusunan laporan keuangan sederhana pada UMKM Karereus bertujuan untuk meningkatkan kemampuan pemilik UMKM dalam mengelola keuangan usaha. Melalui metode pelatihan yang terstruktur dan praktis, pendampingan intensif, serta evaluasi berkala, pemilik UMKM, berhasil memahami dan menerapkan konsep dasar akuntansi. Selama kegiatan, UMKM Karereus mampu menyusun laporan arus kas, neraca, dan laporan laba rugi secara konsisten setiap bulan. Penggunaan laporan keuangan ini membantu dalam pengambilan keputusan bisnis yang lebih baik. Faktor-faktor kunci keberhasilan meliputi pendekatan praktis dalam pelatihan, penyediaan alat yang tepat, serta komitmen tinggi dari pemilik UMKM. Meskipun terdapat tantangan keterbatasan waktu, penyesuaian jadwal pelatihan membantu mengatasi hambatan tersebut. Hasil pendampingan menunjukkan bahwa metode yang diterapkan efektif dalam membantu UMKM Karereus mengelola keuangan mereka dengan lebih baik, diharapkan memberikan dampak positif yang berkelanjutan bagi perkembangan usaha mereka.

Crab is one of protein resource with high economic value. The vertical system is a crab farming method that provides several advantages including increasing space utility, minimizing crab mortality that is affected by cannibalism, and improving precision farming. As a continuation of 2024 research under the strategic collaboration (Katalis) scheme, a community service project has been conducted by implementing the Internet of Things (IoT) based water monitoring system to support precision farming in vertical system-based crab farming. Surabaya crab supermarket has become the partner in this community service. The objective of this activity is to implement this prototype in the real crab farming environment to investigate its effectiveness. This activity also gives experience for students at Telkom University that are involved in this project of implementing the developed precision farming system in the real environment despite the laboratories scale environment. Moreover, this project is also important to give insight from the crab farmer regarding the real problems that occur in crab farming. In the future, the system can be expanded by adding more features including the machine learning method to give predictions regarding the water quality and the growth of the crabs.

This study's goal is to ascertain the connection between liquidity ratio (CR), asset management (TATO), capital structure (DAR) and firm size on financial performance, The  property & real estate firms that were listed between 2019 and 2023 on the Indonesia Stock Exchange (IDX). The study's sample, which was 52 companies in a period of (5) periods with a total of 260 data. The multiple regression analysis is used in this study method with the type of panel data with the Random Effect Model (REM) method. According to the study's findings that asset management has a favorably and significantly effect on financial performance, capital structure has a negatively and significantly effect on financial performance, but liquidity ratio and firm size have no effect on financial performance.

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.