Claim Missing Document
Check
Articles

Found 25 Documents
Search

Pengabdian Masyarakat Sikap Bela Negara Guna Mendukung Terciptanya Ketahanan di Desa Wirogunan, Kecamatan Kartasura, Kabupaten Sukoharjo Suyahman, Suyahman; Ciptandriyo, Petrus Andi; Wijaya, Anastasya Putri; Gayatri, Elisabet Anita; Waskito, Yohanes Saing
Educate: Journal of Community Service in Education Vol 5 No 2 (2025): December
Publisher : Universitas Veteran Bangun Nusantara

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

Abstract

Pengabdian ini bertujuan untuk meningkatkan kesadaran dan partisipasi masyarakat di Desa Wirogunan, Kecamatan Kartasura, Kabupaten Sukoharjo, dalam bela negara guna mendukung terciptanya ketahanan nasional. Kegiatan ini dilakukan melalui pelatihan dan penyuluhan, diskusi dan tanya jawab, pembentukan kelompok bela negara, dan pelaksanaan kegiatan bela negara. Hasil kegiatan ini menunjukkan bahwa kesadaran dan partisipasi masyarakat di Desa Wirogunan dalam bela negara meningkat, dan terbentuknya kelompok bela negara yang dapat mendukung terciptanya ketahanan nasional.
Nurturing Youth Character Education Through the “Sungkem Pertiwi” Cultural Performance Sawitri; Pujiyana; Suyahman
International Journal on Education Issues Vol. 2 No. 1 (2026): JANUARY
Publisher : CV Kalimasada Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59966/y69wa495

Abstract

Purpose – This study aims to analyze the influence of cultural arts performances on the character education of the younger generation. Design/Methodology/Approach – The research employs a qualitative approach, focusing on performances by various art groups, including karawitan, Javanese poetry (gurit jawa), Indonesian poetry, wayang padat (concise puppet shows), and dance. Data were gathered from primary and secondary sources through in-depth interviews, literature reviews, photographic documentation, and observations of digital content on platforms such as YouTube and TikTok. Findings – The results indicate that cultural arts performances have a positive and significant impact on character education. Through performance themes such as "Sungkem Pertiwi," these artistic showcases serve as a platform for the nation's youth to contribute while instilling moral values, such as respect for parents and elders, and the philosophy of "humanizing human beings" (memanusiakan manusia). The sequence of artistic works cohesively provides character lessons encompassing aspects of tolerance, responsibility, and cooperation. Originality/Value –This research offers a unique contribution by examining the intersection of cultural art performances and character education, focusing on specific art forms such as karawitan, Javanese poetry, wayang padat, and traditional dance, which are often overlooked in contemporary educational discourse.
PENERAPAN PERANGKAT LUNAK PYTHON UNTUK MENINGKATKAN KOMPETENSI ANALISIS DATA DALAM KEGIATAN RISET MAHASISWA Dwi Setiawan, Very; Utari Iswavigra, Dwi; Ulfa, Mutia; Anggiratih, Endang; Dwi Yulianto, Bagas; Praningki, Tutus; Suyahman, Suyahman; Wicaksono, Ardy; Mar'atullatifah, Yulaikha; Prasetyo, Deny; Mursalim, Mursalim
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 9, No 2 (2026): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v9i2.%p

Abstract

Perkembangan teknologi informasi menuntut mahasiswa memiliki kompetensi analisis data yang memadai untuk mendukung kegiatan riset akademik. Namun, kenyataannya masih banyak mahasiswa yang mengalami keterbatasan dalam pemanfaatan perangkat lunak analisis data berbasis komputasi dan cenderung bergantung pada aplikasi spreadsheet sederhana. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kompetensi analisis data mahasiswa melalui penerapan perangkat lunak Python dalam kegiatan riset. Pelatihan dilaksanakan di Universitas Islam Batik Surakarta melalui kolaborasi antara Program Studi Teknik Industri Universitas Batik Surakarta dan Program Studi Teknik Industri Universitas Nahdlatul Ulama Jepara. Metode yang digunakan adalah pelatihan berbasis praktik langsung (hands-on training) yang meliputi pengenalan dasar pemrograman Python, pengolahan dan preprocessing data, serta visualisasi data penelitian menggunakan pustaka Pandas, NumPy, Matplotlib, dan Seaborn. Evaluasi kegiatan dilakukan melalui pre-test dan post-test untuk mengukur peningkatan kompetensi peserta. Hasil evaluasi menunjukkan peningkatan yang signifikan pada seluruh aspek kompetensi, termasuk pemahaman konsep dasar Python, kemampuan pengolahan dan pembersihan data, keterampilan visualisasi data, serta pemanfaatan Python dalam penyusunan laporan penelitian. Peningkatan nilai post-test yang lebih tinggi dibandingkan pre-test mengindikasikan bahwa pendekatan pelatihan yang diterapkan efektif dalam meningkatkan literasi komputasional dan kualitas analisis data mahasiswa. Kegiatan ini berkontribusi positif terhadap peningkatan mutu riset mahasiswa serta mendorong pemanfaatan perangkat lunak open-source dalam lingkungan akademik. Pelatihan ini juga berpotensi menjadi model Pengabdian kepada Masyarakat yang berkelanjutan dalam pengembangan kompetensi analisis data di perguruan tinggi.
ACTUALIZATION OF GLOBAL CITIZENSHIP CONCEPT IN THE PERSPECTIVE OF CIVIC EDUCATION IN INDONESIA; CASE STUDY OF CONSTITUTIONAL MATERIAL Suyahman
Bhineka Tunggal Ika Kajian Teori dan Praktik Pendidikan PKN
Publisher : Universitas Sriwijaya in Collaboration with AP3Kni (Asosiasi Profesi Pendidikan Pancasila dan Kewarganegaraan Indonesia/Indonesia Association Profession of Pancasila and Civic Education)

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

Abstract

Penelitian ini bertujuan untuk mendeskripsikan aktualisasi konsep warga negara global dalam perspektif Pendidikan kewarganegaraan di Indonesia. Jenis penelitian yang digunakan adalah deskriptif kualitatif. Subjek penelitian adalah dosen dan mahasiswa PKn, Metode pengumpulan data: observasi, wawancara dan dokumentasi. Validitasnya menggunakan triangulasi sumber dan metode. Analisis data menggunakan teknik analisis interaktif. Hasil observasi di lapangan ditemukan bahwa dosen ketika menyampaikan materi Pendidikan kewarganegaraan kurang mampu menyampaikannya secara menarik dan kurang mampu mengembangkan materi dengan fenomena yang terjadi saat ini sehingga daya tarik mahasiswa kurang maksimal. Dampaknya, ketika diadakan evaluasi hasilnya juga kurang maksimal. Dari hasil wawancara dengan dosen dan mahasiswa PKn diperoleh informasi bahwa dosen kurang menguasai materi, dosen kurang mampu menghubungkan materi ketatanegaraan dengan perkembangan global. Kesimpulannya: aktualisasi konsep warga negara global dalam perspektif Pendidikan kewarganegaraan di Indonesia mutlak diperlukan karena warga negara Indonesia merupakan bagian dari warga negara global. This research aims to describe the actualization of the concept of global citizenship from the perspective of citizenship education in Indonesia. The type of research used is descriptive qualitative. Research subjects were Civics lecturers and students. Data collection methods: observation, interviews and documentation. Its validity uses triangulation of sources and methods. Data analysis uses interactive analysis techniques. The results of observations in the field found that lecturers when delivering citizenship education material were less able to convey it in an interesting way and less able to develop the constitutional material with current phenomena so that student attraction was less than optimal. As a result, when an evaluation was carried out the results were also less than optimal. From the results of interviews with Civics lecturers and students, information was obtained that lecturers lacked mastery of the material, lecturers were less able to connect the material with global developments. In conclusion: actualizing the concept of global citizenship from the perspective of citizenship education in Indonesia is absolutely necessary because Indonesian citizens are part of global citizenship.
Traditional Batik Pattern Recognition with MobileNetV2 and Sampling-Based Hyperparameter Optimization Suyahman; Saut Parulian, Onesinus; Prasetyo, Deny; Anwar Fauzi, Muhammad
Jurnal Ilmu Komputer dan Informasi Vol. 19 No. 1 (2026): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v19i1.1597

Abstract

Batik holds significant cultural value in Indonesia, reflecting the nation's historical and artistic heritage through its intricate patterns. Preserving these designs is essential for maintaining cultural identity and supporting artistic and economic communities. With the advancement of technology, deep learning has emerged as an effective approach for recognizing and classifying batik patterns. Convolutional Neural Networks (CNNs), particularly MobileNetV2, are widely recognized for their efficiency and accuracy in image classification. However, the performance of deep learning models is highly influenced by hyperparameter selection, which remains a challenging task. This study investigates the effectiveness of MobileNetV2 in classifying traditional Indonesian batik motifs, including Kawung, Mega Mendung, Parang, and Truntum, by applying different hyperparameter optimization methods such as Treestructured Parzen Estimator (TPE), Gaussian Process Sampler (GPS), Grid Search, and Random Search. The experimental results show that TPE achieved the best overall performance with a test accuracy of 91.94% and an F1 score of 92.09%. GPS and Grid Search obtained identical test accuracy of 90.83% with F1 scores of 90.89% and 90.87%, respectively, while Random Search produced the lowest performance with an accuracy of 88.61% and F1 score of 88.61%. These findings highlight the importance of structured hyperparameter optimization, particularly TPE, in enhancing the robustness of CNN-based batik classification. The results provide valuable insights for the development of automated batik pattern recognition systems that support cultural heritage preservation and related image classification applications.