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All Journal Jurnal Kesehatan Andalas FLYWHEEL : Jurnal Teknik Mesin Untirta Jurnal Ampere Jurnal Keperawatan dan Fisioterapi (JKF) Jurnal Kesmas dan Gizi (JKG) Bioscientia Medicina : Journal of Biomedicine and Translational Research Agroekoteknologi Tropika Lembab Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Bioscientia Medicina : Journal of Biomedicine and Translational Research Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Riset Rumpun Seni, Desain dan Media (JURRSENDEM) Jurnal Pengmas Kestra (JPK) Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan Journal of Computer Science and Research Jurnal Pengabdian Masyarakat dan Riset Pendidikan WISDOM : Jurnal Pengabdian Kepada Masyarakat Wisdom Jurnal Kemitraan Masyarakat Jurnal Manajemen, Pendidikan dan Ilmu Komputer (JMENDIKKOM) Komunitas: Hasil Kegiatan Pengabdian Masyarakat Indonesia
Surya Darma
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Veterinary Other

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Analisis Sosial dan Ekonomi Kerajinan Bordir Sebagai Warisan Budaya Pematangsiantar Menggunakan Bahasa Python Abdi Rahim Damanik; Surya Darma; Dedy Hartama
Jurnal Manajemen, Pendidikan Dan Ilmu Komputer Vol. 1 No. 1 (2024): JMENDIKKOM Volume 1 No 1 Januari 2024
Publisher : Yayasan Darus Soleh Parung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65309/00pgpd35

Abstract

Kerajinan bordir di Pematangsiantar merupakan bagian integral dari warisan budaya lokal yang kaya. Penelitian ini bertujuan untuk melakukan analisis sosial dan ekonomi terhadap kerajinan bordir sebagai warisan budaya di Pematangsiantar. Metode penelitian yang digunakan adalah kombinasi antara studi literatur, observasi lapangan, dan wawancara mendalam dengan para pengrajin bordir serta pemangku kepentingan terkait. Analisis sosial mencakup identifikasi praktik budaya yang terkait dengan pembuatan bordir, peran perempuan dalam pengembangan kerajinan ini, serta cara bordir menjadi bagian dari identitas budaya masyarakat setempat. Sementara itu, analisis ekonomi mempertimbangkan nilai ekonomi kerajinan bordir dalam perekonomian lokal, dampaknya terhadap penghidupan pengrajin, serta tantangan dan peluang dalam memasarkan produk bordir secara lokal maupun global. Temuan dari penelitian ini menunjukkan bahwa kerajinan bordir di Pematangsiantar tidak hanya memainkan peran penting dalam melestarikan warisan budaya, tetapi juga memiliki potensi ekonomi yang signifikan. Namun, tantangan seperti pemenuhan pasar yang berkelanjutan dan pendidikan generasi muda dalam mempertahankan tradisi bordir perlu ditangani secara serius untuk menjaga keberlanjutan kerajinan ini sebagai warisan budaya yang hidup dan berdaya saing.
Bahasa Tubuh Sebagai Sarana Penguat Emosi Dalam Penyutradaraan Film Lisan: Penelitian Putri Ramadhani; Surya Darma
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3331

Abstract

Film merupakan medium komunikasi yang tidak hanya mengandalkan dialog verbal, tetapi juga bahasa tubuh sebagai sarana penyampaian pesan emosional. Penelitian ini berangkat dari fenomena penggunaan bahasa tubuh dalam film Lisan yang menampilkan dinamika psikologis tokoh melalui ekspresi non-verbal. Tujuan penelitian ini adalah untuk menganalisis bagaimana penyutradaraan memanfaatkan bahasa tubuh, realisme, mise en scène, serta teknik kamera dalam memperkuat penyampaian emosi kepada penonton. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan analisis deskriptif. Data diperoleh melalui studi kepustakaan, telaah film, serta analisis visual terhadap adegan-adegan kunci. Fokus penelitian diarahkan pada pengamatan representasi bahasa tubuh, keterkaitannya dengan elemen sinematik, serta efektivitas penyutradaraan dalam menghadirkan kedalaman emosi. Hasil penelitian menunjukkan bahwa bahasa tubuh memainkan peran sentral dalam membangun karakterisasi tokoh dan alur dramatik film. Ekspresi wajah, postur tubuh, gerakan tangan, dan kontak mata terbukti lebih efektif dibandingkan dialog dalam menyampaikan konflik batin. Penerapan pendekatan realisme, pengaturan mise en scène, serta teknik kamera yang konsisten semakin memperkuat makna emosional yang tersampaikan kepada penonton. Kesimpulannya, penyutradaraan film Lisan dinilai efektif dalam menghadirkan realitas psikologis tokoh melalui ekspresi non-verbal. Integrasi bahasa tubuh dengan elemen sinematik lain menciptakan pengalaman menonton yang imersif, komunikatif, dan emosional.
Comparison of Naïve Bayes, K-Nearest Neighbors, and Decision Tree Methods for Classifying Heart Disease Risk Factors Ahmad Jihad Al Fayed; Surya Darma; Zailani Sinabariba; Surya Maruli P Pardede
Journal of Computer Science and Research (JoCoSiR) Vol. 3 No. 3 (2025): July: Health Science Informatic
Publisher : Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer (APTIKOM) Provinsi Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Heart disease is the leading cause of death and poses a major challenge to global health systems. The classification of heart disease risk factors is crucial for preventing serious indications, but the challenge is that detection of this disease is often hampered because the classification process is not yet sufficiently accurate. This study aims to develop a heart disease risk classification model using a machine learning approach on a 2025 dataset consisting of 6025 patient data with 14 features. After going through the data collection stage and determining the attributes for comparing the performance of machine learning algorithms (Naive Bayes, K-Nearest Neighbors, and Decision Tree), it was found that the Decision Tree algorithm provided the best performance with an accuracy of 86%, followed by the K -Nearest Neighbors algorithm with an accuracy of 78% and the Naive Bayes algorithm with an accuracy of 76%.
Pelatihan Design Creative Mug di SMK Pangeran Antasari Labuhan Deli John John; Surya Darma; Emely Sari Marina Napitupulu
Jurnal Kemitraan Masyarakat Vol. 1 No. 2 (2024): Juni: Jurnal Kemitraan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/jkm.v1i2.193

Abstract

According to the definition of American Heritage (2007), design is: "Composing or noting; create," and "formulate a plan." Creative mug design is an activity in making one of the merchendise in terms of supporting a branding activity. SMK Pangeran Antasari is the first school to have a Visual Communication Design (DKV) department in Deli Serdang. Therefore, we took the initiative to provide training that can add insight into the design of students at SMK Pangeran Antasari, especially in the DKV department. Through this training, it can also increase students' creativity and foster an interest in entrepreneurial spirit in them. This training is theoretical and practical directly by involving students to design with the size of the mug given and also do their respective mug press with good guidance. The results of this training were able to design and then apply the design to the coated ceramic mug media that had been provided.
Produksi Video Company Profil Fakultas Teknologi Universitas Battuta Medan dengan Adobe Premier CC 2019 Surya Darma; John John; M. Rhifky Wayahdi; Ihsan Primas Danu
Komunitas: Hasil Kegiatan Pengabdian Masyarakat Indonesia Vol. 3 No. 2 (2025): Mei : Komunitas: Hasil Kegiatan Pengabdian Masyarakat Indonesia
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/komunitas.v3i1.126

Abstract

This study aims to produce a company profile video for the Faculty of Technology, Battuta University, Medan using Adobe Premiere CC 2019 software. This company profile video is designed to provide a clear picture of the vision, mission, organizational structure, facilities, and superior programs at the Faculty of Technology, Battuta University, Medan. The production process of this video goes through several stages, namely planning, shooting, processing visual materials, and editing to produce a video that is in accordance with the communication objectives to be conveyed. Adobe Premiere CC 2019 was chosen as the main tool in video editing because of the ability of this software to provide various professional editing features, such as transition settings, visual effects, color adjustments, and audio processing that supports the quality of the final video results. The results of this study are in the form of a company profile video that can be used as a promotional media, which is expected to improve the image and attractiveness of the Faculty of Technology, Battuta University, Medan in the eyes of prospective students and the general public. With this video, it is hoped that information about the faculty can be conveyed more effectively and attractively.
Co-Authors Abdi Rahim Damanik Abdullah Fikri Ahmad Jihad Al Fayed Aji Nurrohman Alfano Ramadhan Andre Buttiamal Dani Damanik Ari Dwi Prasetyo Asnidar Asnidar Bambang Soegijono Bangun, Sri Melda Basir S. Berliyanto Chairil Anwar Deddy Saputra Dedy Hartama Dwi Handayani Elisia Elisia Elmustian Elmustian Emely Sari Marina Napitupulu Endiyani Erial Bahar Erkadius Erkadius Fahmi Firzada Ginting, Luci Riani Ginting, Rosita Hamdan Akbar Notonegoro Helicya Fitriani Ihsan Primas Danu Ika Rezvani Aprita Irhami Irmayani Irmayani John John Leni Devera Asrar M. Rhifky Wayahdi MAGHFIRAH Melissa Menker Manjas Menkher Manjas Mizar Liyanda Mustofa, Hadi Nugraha Naila Amri Naila Mubarok Nasya Aprilia Fitri Nur Riviati, Nur Panjaitan, Delita Hayanti Putri Ramadhani Ria Rachel Paranoan Rizki Bastari Rizky Khairunnisa Sormin Salmiah Agus samura, Jul Asdar putra Sari, Mia Indah Sigit Wibisono Sri Agustina Sukarno Sukarno Surya Maruli P Pardede Triyono Budi Santoso Viona Julya Marsha Wendi Robiansyah Wibisono Winda Triski Zailani Sinabariba Zulvia Maika Letis