Universitas Pembinaan Masyarakat Indonesia Medan

The study employed a quasi-experimental approach with a "Two-Group Post-test Design" that compared the circumstances of classes that received treatment and classes that did not using post-test data from control and experimental courses.The following criteria were taken into account when choosing the sample: 1) male; 2) 6-9 years old (range 1-3 elementary school) at SD Negeri 060955 Medan.An experiment using a two-group post-test design is conducted in two classes: the experimental class and the control class.Fun gymnastics was employed in the trial, while SKJ gymnastics was used in the control group.This study concludes that at the 95% significant level, or = 0.05, tcount is 7.5 and ttable is 2.39 based on the preceding computations.The research alternative hypothesis (Ha) is accepted since tcount > ttable (7.5 > 2.39).that children's physical fitness at SDN 060955 Medan Marelan, ages 6 to 9, is significantly impacted by physical activity (rhythmic gymnastics).Sixteen respondents fell into the less than category, one into the very less category, and three into the moderate category, according to the control class statistics.This indicates that the control class's TKJI category is deficient.According to the research findings, there were one person in the very good category, four in the good category, and fifteen in the moderate category for the categories in the experimental class.

Purpose – This research compared students’ understanding of mathematical concepts when taught through two different approaches: conventional instruction and the ICARE model (Introduction, Connect, Apply, Reflect, Extend) supported by the Desmos application in the topic of quadratic equations. Despite growing evidence on the individual benefits of the ICARE learning model and the Desmos application, limited empirical research has examined their systematic integration within each ICARE phase to improve secondary students’ conceptual understanding of quadratic equations.Methodology – The study adopted a quasi-experimental design with a posttest-only control group. A total of 45 ninth-grade students from SMP Manunggal Medan participated in the 2025/2026 academic year, comprising 23 in the control class and 22 in the experimental class. The instrument was a conceptual understanding test consisting of open-ended questions, validated by experts. Data were analyzed using an independent sample t-test.Findings – The results showed a significant difference between the two groups (p < 0.001). The experimental class obtained an average score of 76.09, while the control class reached only 59.65. Distribution analysis also revealed that 86.4% of students in the experimental group were categorized as good to very good. In comparison, 78.2% of students in the control group were categorized as poor to very poor. These outcomes suggest that the ICARE model, combined with Desmos, is efficacious in improving students' conceptual understanding of mathematics and in narrowing individual achievement gaps.Contribution –In practice, the findings underscore the importance of preparing teachers to integrate technology into their teaching practices, thereby making learning more interactive, collaborative, and student centered.

Kerusakan jalan merupakan permasalahan penting yang berdampak pada menurunnya fungsi jalan, meningkatnya risiko kecelakaan, serta kerugian ekonomi bagi masyarakat. Jalan sebagai infrastruktur transportasi darat memiliki peran strategis dalam mendukung mobilitas dan pertumbuhan ekonomi. Salah satu ruas jalan yang mengalami kerusakan adalah Jalan Balai Desa Marindal II, yang meskipun tingkat kerusakannya belum tergolong berat, tetap berpengaruh terhadap aktivitas masyarakat setempat. Penelitian ini bertujuan untuk mengidentifikasi jenis kerusakan jalan serta menganalisis faktor penyebab kerusakan guna menentukan penanganan yang tepat. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan metode deskriptif kualitatif. Penilaian kondisi jalan dilakukan menggunakan metode Bina Marga melalui survei visual untuk mencatat jenis dan tingkat kerusakan jalan, serta dikombinasikan dengan data Lalu Lintas Harian Rata-rata (LHR) untuk menentukan nilai kondisi jalan dan prioritas penanganan. Hasil penelitian menunjukkan bahwa kerusakan yang terjadi meliputi lubang, retak-retak (cracking), alur (rutting), serta kekasaran permukaan berupa disintegration, pelepasan butiran, dan fatty. Selain itu, sistem drainase yang kurang berfungsi dengan baik menyebabkan genangan air di permukaan jalan sehingga mempercepat proses kerusakan. Kesimpulan dari penelitian ini adalah bahwa kondisi perkerasan dan drainase yang tidak optimal menjadi faktor utama penyebab kerusakan Jalan Balai Desa Marindal II, sehingga diperlukan penanganan sesuai prioritas kondisi jalan untuk mencegah kerusakan yang lebih parah.

<p>This study examines the effectiveness of ecolinguistic texts in enhancing environmental vocabulary acquisition among English Education students at Universitas Pembinaan Masyarakat Indonesia (UPMI). Employing a quasi experimental pre-test post-test control group design, the study involved 60 second-year students divided equally into experimental and control groups. The experimental group received instruction through ecolinguistic texts integrating environmental themes, while the control group used conventional English materials. Data were analyzed using paired-sample and independent-sample t-tests. The findings reveal a statistically significant improvement in environmental vocabulary mastery in the experimental group compared to the control group. These results suggest that ecolinguistic texts provide meaningful contextualization, support semantic networking, and foster deeper lexical engagement. The study contributes to sustainability-oriented English language teaching and supports the integration of ecolinguistics into EFL curricula as part of Education for Sustainable Development (ESD).</p>

Smoke detection plays a critical role in preventing fire-related hazards, particularly in intelligent monitoring and early warning systems. Conventional smoke sensors often exhibit limited responsiveness in dynamic environmental conditions, prompting the adoption of IoT-based sensor data combined with machine learning techniques. This study presents a comparative evaluation of four supervised classification algorithms, K-Nearest Neighbors (KNN), Decision Tree, Random Forest, and Gradient Boosting, using the Smoke Detection Dataset from Kaggle. The methodology integrates SMOTE to address class imbalance and Z-score normalization for feature standardization. Hyperparameter tuning was performed using GridSearchCV with 5-fold cross-validation, and model performance was assessed based on accuracy and execution time. Experimental results show that KNN achieved the highest accuracy (98.33%) with the lowest execution time (0.0327 s), whereas Decision Tree recorded the lowest accuracy (84.17%) but remained computationally fast (0.0406 s). Random Forest and Gradient Boosting demonstrated strong predictive capability (97.22% and 96.94%, respectively), but at higher computational costs (1.4338 s and 8.3819 s, respectively). Almost all models achieved perfect scores (1.00) for precision, recall, and F1-score following SMOTE-based balancing, except KNN which obtained slightly lower values (0.99). The findings indicate a trade-off between predictive performance and computational efficiency, suggesting that lightweight models such as KNN are better suited for real-time IoT-based smoke detection. In contrast, ensemble models may be more appropriate for backend analysis. This research contributes an integrated evaluation framework that combines data rebalancing, multi-model benchmarking, and time-based performance analysis, providing practical insights for the development of responsive and scalable early smoke detection systems.

This study investigates the use of digital modules as a pedagogical tool in teaching argumentative essay writing to university students, using a qualitative research approach. The research aims to examine how digital learning materials enhance students’ understanding of argumentative structures, improve writing skills, and support autonomous learning. This study employed a qualitative research methodology to explore how digital modules are used in teaching argumentative essay writing to university students. A qualitative approach was deemed appropriate for capturing the lived experiences, perceptions, and challenges encountered by both students and instructors in an authentic educational setting. Data were gathered through classroom observations, in-depth interviews with students and instructors, and analysis of students' written work. The findings suggest that digital modules provide structured and accessible content that aids students in organizing their ideas, developing critical arguments, and refining their writing techniques. Additionally, the interactive nature of digital modules fosters student engagement and motivation. Despite some challenges related to technical access and digital literacy, the overall impact of using digital modules in writing instruction is perceived as positive. In conclusion, digital modules can serve as effective scaffolding mechanisms that guide students through the complexities of argumentative writing. When designed with clear instructional sequences, examples, and interactive components, digital modules help students understand essay structure, develop coherent arguments, and engage in independent revision.

This community service activity aims to implement digitalization of information technology to improve academic competence and character building of students at SMK Mustafa Perbaungan. This activity is motivated by the limited use of digital technology in learning which impacts low participation, motivation, and strengthening of student character. The implementation method includes needs analysis, planning, training and mentoring the use of digital learning media, and evaluation. Digitalization is carried out through the use of information technology-based applications that support interactive, collaborative, and fun learning by actively involving teachers and students. The results of the activity show an increase in student understanding, skills, motivation, and activeness, the formation of positive character, and increased teacher competence in designing and implementing digital learning effectively, thus contributing positively to the quality of learning and strengthening student character at SMK Mustafa Perbaungan.

Penelitian ini bertujuan untuk merancang dan menguji kinerja sistem irigasi otomatis berbasis sensor pada lahan pertanian Wisata Agro Paloh Naga sebagai upaya meningkatkan efisiensi penggunaan air dan mendukung penerapan teknologi pertanian modern. Sistem dirancang menggunakan sensor kelembaban tanah (soil moisture sensor), mikrokontroler sebagai pusat kendali, serta katup solenoid untuk pengaturan aliran air. Ketika kelembaban tanah berada di bawah ambang batas yang ditetapkan, sistem secara otomatis mengaktifkan aliran irigasi, dan sebaliknya akan menghentikan suplai air ketika kelembaban mencapai tingkat optimal. Penelitian ini menggunakan pendekatan eksperimen lapangan untuk menguji akurasi sensor, respons waktu sistem, stabilitas operasi, serta dampaknya terhadap kondisi tanaman dan efisiensi air. Hasil penelitian menunjukkan bahwa sistem irigasi otomatis mampu bekerja secara konsisten dengan tingkat akurasi deteksi kelembaban tanah di atas 90 persen. Respon waktu sistem dalam mengaktifkan dan menonaktifkan irigasi berada pada rentang yang efektif untuk mempertahankan kelembaban optimal bagi tanaman. Selain itu, penggunaan sistem ini terbukti dapat mengurangi pemborosan air hingga 30–40 persen dibandingkan metode manual. Penerapan teknologi ini juga meningkatkan kemudahan operasional bagi pengelola wisata agro serta memberikan nilai tambah edukatif bagi pengunjung. Secara keseluruhan, sistem irigasi otomatis berbasis sensor dinilai layak dikembangkan sebagai solusi pertanian berkelanjutan di kawasan Wisata Agro Paloh Naga.

Kegiatan Pengabdian kepada Masyarakat dengan judul Sosialisasi: Penguatan Tata Kelola Pasar Wisata Berbasis Partisipasi Komunitas untuk Mendorong Kinerja Manajemen Pasar Kamu di Pantai Labu, Sumatera Utara bertujuan untuk meningkatkan kualitas pengelolaan pasar tradisional melalui keterlibatan aktif pedagang, pengelola pasar, pemerintah desa, dan masyarakat sekitar. Kegiatan ini dirancang untuk memperkuat kapasitas pedagang dalam penerapan prinsip tata kelola partisipatif, meningkatkan transparansi dan akuntabilitas manajemen pasar, serta mengembangkan Pasar Kamu sebagai destinasi wisata edukatif yang menarik bagi pengunjung. Metode kegiatan meliputi identifikasi kebutuhan pasar, sosialisasi dan pelatihan interaktif, pendampingan lapangan, serta evaluasi dan monitoring berkelanjutan. Identifikasi dilakukan melalui survei dan wawancara untuk memetakan kendala operasional dan kebutuhan pengunjung. Sosialisasi dan pelatihan menekankan prinsip tata kelola berbasis komunitas, penataan fasilitas, komunikasi edukatif, serta praktik pelayanan yang ramah dan informatif. Pendampingan lapangan memastikan penerapan praktik secara konsisten, sementara evaluasi dilakukan melalui observasi, wawancara, dan kuisioner pengunjung untuk menilai efektivitas dan kepuasan. Hasil kegiatan menunjukkan peningkatan kapasitas pedagang, keterlibatan masyarakat dalam pengambilan keputusan, perbaikan fasilitas pasar, serta pengalaman edukatif pengunjung yang lebih optimal. Peningkatan kinerja manajemen pasar tercermin dari koordinasi yang lebih baik, efisiensi operasional, dan pelayanan yang lebih profesional. Berdasarkan temuan tersebut, disarankan untuk melanjutkan pelatihan lanjutan, pengembangan fasilitas edukatif, penguatan forum komunitas, serta monitoring berkala agar keberlanjutan implementasi tata kelola partisipatif dapat terjaga. Kegiatan ini membuktikan bahwa pendekatan berbasis partisipasi komunitas efektif untuk mentransformasi pasar tradisional menjadi destinasi wisata edukatif yang berkelanjutan, profesional, dan memberdayakan seluruh pemangku kepentingan.

Abstract Sorghum flour is a promising gluten-free ingredient with high nutritional value, fiber, antioxidant, and mineral content. Yet, its application in noodle products is limited due to poor dough-forming ability, low elasticity, and sub optimal water absorption-factors that negatively affect texture, cooking quality, and consumer acceptance. To overcome these limitations, fermentation-based modification with yeast starters (such as baker’s, tape, and tempeh) has been explored as a natural and effective method to improve the physicochemical and functional properties of cereal flours. The objective of this study is to develop gluten-free dried noodles based on fermented sorghum flour and to evaluate the noodles’ physicochemical, functional, and sensory properties. Three types of fermentation starters baker’s, tape, and tempeh were used to improve dough and noodle quality The best value in moisture content analysis was the treatment with tempeh starter with a value of 7.79% and the water activity value was 0.47. For the color of the brightest sample, the treatment with tempeh starter has the L* value of 49.80, the a* value is 1.93 and the b* value is 13.00. The best bulk density value is owned by the treatment with baker’s starter which is 0.37 g/ml, the highest water absorption value is the treatment with tempeh starter 123.45% with a growth value of 17.82%. The highest elongation value of gluten-free dry noodles is with the baker’s starter treatment which is 32.16%.