Garuda - Garba Rujukan Digital

PELATIHAN PEMANFAATAN AI UNTUK MEMBUAT VIDEO KREATIF Arnomo, Sasa Ani; Kremer, Hendri; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Yulia, Yulia
PUAN INDONESIA Vol. 7 No. 1 (2025): Jurnal PUAN Indonesia Vol. 7 No. 1 Juli 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i1.407

Lack of support from parents, teachers, or peers can make students feel unmotivated to develop creativity. Therefore, an activity is needed that helps develop students' talents other than academics. AI training in video making has opened up new opportunities for school students to explore creativity. Making videos is not just a hobby, but also has many benefits for student development. It helps students explore new ideas, think out-of-the-box, and find unique ways to express themselves. In addition, it is very important to equip students with digital skills that are in great demand in the modern era, such as operating video editing software, searching for information online, and using various creative applications.

Hubungan Self Management Behavior dengan Tingkat Kecemasan Pasien Hipertensi : Relationship between Self Management Behavior and Anxiety Level of Hypertension Patients Lasmawanti, Sri; Siregar, Maya Ardilla; Mhd Adi Setiawan Aritonang; Hanny Ghafira
Jurnal Keperawatan Bunda Delima Vol 7 No 2 (2025): EDISI AGUSTUS
Publisher : Akademi Keperawatan Bunda Delima Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59030/jkbd.v7i2.154

Hipertensi atau tekanan darah tinggi adalah suatu keadaan di mana terjadi peningkatan tekanan pembuluh darah secara terus menerus yaitu tekanan darah sistolik (systolic blood pressure) lebih dari 140 mmhg dan tekanan darah diastolik (diastolic blood pressure) lebih dari 90 mmhg setelah mengalami pemeriksaan ulang. Tujuan penelitian ini adalah untuk mengetahui hubungan self management behaviour dengan tingkat kecemasan pada pasien hipertensi di rumah sakit mitra medika tanjung mulia tahun 2025. Desain penelitian yang digunakan dalam penelitian ini menggunakan metode survei analitik dengan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh pasien hipertensi yang berobat di instalasi rawat jalan berada di Rumah Sakit Mitra Medika Tanjung Mulia Medan yang berjumlah 80 responden. Pengambilan sampel yang digunakan adalah accidental sampling yaitu pengambilan sampel secara kebetulan tanpa direncanakan. Berdasarkan hasil analisa dengan menggunakan uji Chi-Square memeperlihatkan bahwa nilai signifikan probabilitas (Asymp.Sig) self management behaviour adalah 0,000 atau < nilai sig = 0,05. Hal ini membuktikan bahwa ada hubungan self management behaviour dengan tingkat kecemasan pada pasien hipertensi di rumah sakit mitra medika tanjung mulia medan tahun 2025. Kesimpulan dalam penelitian ini menunjukkan bahwa secara statistik ada hubungan self management behaviour dengan tingkat kecemasan pada pasien hipertensi di rumah sakit mitra medika tahun 2025. Kepada penderita hpertensi di harapkan dapat memberikan masukan dan motivasi agar pasien dapat meningkatkan self management behaviour dan dapat mengontrol kecemasan.

SOSIALISASI TRANSFORMASI DIGITAL DI ERA INDUSTRI 5.0 PADA KARYAWAN PT FLEXTRONICS TECHNOLOGY Aritonang, Mhd Adi Setiawan; Muhammad Jufri; Rizki Fadhel Dwipananda; Dewi Lestari; Hasra Hijratul Adha; Ghanang Harisya Ubra; Marcelino Febriansyah
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 3 (2025): Juli 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i3.4043

Abstract: This community service activity focuses on increasing digital literacy as an effort to support digital transformation in the Industry 5.0 era. This program is designed to provide training and seminars to employees of PT Flextronics Technology Indonesia Batam to improve their understanding and skills in utilizing digital technology effectively in the world of work. Through this activity, participants are given insight into the use of digital technology in business operations, cybersecurity, personal data protection, and the application of artificial intelligence (AI) in industry. This training also includes practical skills such as data analysis, use of digital business software, and e-commerce optimization. So this activity aims to support digital transformation in the Industry 5.0 era by increasing people's understanding and skills in utilizing digital technology. The target of this program is for company employees to be able to optimize technology in business activities, increase productivity, and innovate in the digital era. With this approach, it is hoped that participants can improve work efficiency, competitiveness, and the ability to adapt to technological developments. Keywords: digital literacy; digital economy; artificial intelligence (AI) Abstrak: Kegiatan pengabdian kepada masyarakat ini berfokus pada peningkatan literasi digital sebagai upaya mendukung transformasi digital di era Industri 5.0. Program ini dirancang untuk memberikan pelatihan dan seminar kepada karyawan PT Flextronics Technology Indonesia Batam guna meningkatkan pemahaman dan keterampilan mereka dalam memanfaatkan teknologi digital secara efektif dalam dunia kerja. Melalui kegiatan ini, peserta diberikan wawasan mengenai pemanfaatan teknologi digital dalam operasional bisnis, keamanan siber, perlindungan data pribadi, serta penerapan kecerdasan buatan (AI) dalam industri. Pelatihan ini juga mencakup keterampilan praktis seperti analisis data, penggunaan perangkat lunak bisnis digital, dan optimalisasi e-commerce. Sehingga kegiatan ini bertujuan untuk mendukung transformasi digital di era Industri 5.0 dengan meningkatkan pemahaman dan keterampilan masyarakat dalam memanfaatkan teknologi digital. Metode yang digunakan dalam kegiatan Pengabdian masyarakat adalah metode edukasi berupa penyuluhan dengan ceramah dan diskusi. Sasaran program ini adalah para karyawan perusahaan agar dapat mengoptimalkan teknologi dalam aktivitas bisnis, meningkatkan produktivitas, serta berinovasi di era digital. Dengan pendekatan ini, diharapkan peserta dapat meningkatkan efisiensi kerja, daya saing, serta kemampuan beradaptasi dengan perkembangan teknologi. Kata kunci: literasi digital; ekonomi digital; artificial intelligence (AI)

Boosting Methods for Multi-label Data Cyberbullying Farasalsabila, Fidya; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Moniva, Anip; Lestari, Verra Budhi; Handayani, Rizky
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8721

Easy accessibility to the internet and social media allows individuals to communicate anonymously, providing opportunities for abusive and harmful behavior. The psychological impact of cyberbullying can be very detrimental, triggering stress, depression, and even causing more serious consequences such as suicide. This paper describes cyberbullying sentiment analysis with a focus on the use of four different boosting methods, namely Gradient Booster, Gradient Booster, XGBoost, AdaBoost, dan LightGBM on a multi-label public dataset covering 6 categories. The aim of this research is to compare and analyze the relative performance of these boosting methods in overcoming the challenges of multi-label sentiment analysis in the context of cyberbullying. Results reveal that XGBoost and LightGBM have a tendency to more effectively overcome the challenges of detecting cyberbullying in more complex categories, making a positive contribution to the development of superior detection systems in the context of multi-label sentiment analysis. This research contributes to the field by providing a comparative analysis of state-of-the-art boosting algorithms, highlighting their strengths in multi-label classification tasks, and offering practical insights for developing more accurate and reliable cyberbullying detection systems. The findings from this study are expected to serve as a reference for future development of machine learning-based tools that can help mitigate the psychological harm caused by online abuse, particularly in detecting subtle and complex forms of cyberbullying behavior.

Sosialisasi Pembelajaran Berbasis Digital Pada Pondok Pesantren An Ni'mah Kota Batam Noviardi, Refli; Jufri, Muhamaad; Dwipananda, Rizki Fadel; Aritonang, Mhd Adi Setiawan
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 2 (2025): April 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i2.3587

Motivated by the decline in the number of new students and the foundation's desire to modernize, this program targets constraints such as restrictions on the use of electronics, limited technological facilities, and the technical ability of educators that still need to be improved. The program used theoretical presentation and interactive discussions to provide a new perspective on learning transformation while maintaining pesantren values. The evaluation results show that although the introduction of technology has been in accordance with management needs, it is still necessary to improve digital literacy and develop a more attractive learning platform. This PKM program has a desire to carry out future cooperation in the form of knowledge exchange for the development of pesantren to become more modern, structured and advanced.Keywords: digital literation; islamic boarding school; technology Abstrak: Dilatarbelakangi oleh penurunan jumlah santri baru dan keinginan yayasan untuk modernisasi, program ini menyasar kendala-kendala seperti pembatasan penggunaan elektronik, keterbatasan fasilitas teknologi, dan kemampuan teknis pendidik yang masih perlu ditingkatkan. Kegiatan yang dilaksanakan ini menggunakan metode pemaparan teoritis, dan diskusi interaktif untuk memberikan pandangan baru tentang transformasi pembelajaran dengan tetap mempertahankan nilai-nilai kepesantrenan. Hasil evaluasi menunjukkan bahwa meski pengenalan teknologi telah sesuai dengan kebutuhan manajemen, masih diperlukan peningkatan literasi digital dan pengembangan platform pembelajaran yang lebih atraktif. Program PKM ini memiliki keinginan yaitu dapat melaksanakan kerjasamkdepannya dalam bentuk pertukaran ilmu untuk pengembangan pesantren menjadi lebih modern, terstruktur dan maju.Kata kunci: literasi digital; pesantren; teknologi

Perancangan Sistem Pendeteksi Penyakit Pada Rumput Laut Dengan Menggunakan Metode Convolutional Neural Network Aritonang, Mhd Adi Setiawan; Abrar Masril, Muhammad; Chaniago, Deosa; Marshall Al Karim, Muhammad; Mahani Cunis, Viriya; Surgiwe, Surgiwe
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1160

Penelitian ini mengembangkan sistem deteksi penyakit pada rumput laut menggunakan metode Convolutional Neural Network (CNN) dengan YOLO v11. Sistem dilatih menggunakan data yang terdiri dari Healthy Seaweed, Kerak Bryozoan, dan ice-ice dari dataset Roboflow. Model YOLO v11m dengan 20 juta parameter dievaluasi menggunakan metrik presisi, recall, F1-Score, dan mAP. Hasil menunjukkan kinerja yang baik dalam deteksi penyakit dengan mAP50 sekitar 0.84 pada data validasi dan implementasi dalam aplikasi Web menggunakan Flask

An Examination of the Influence of Blue Economy Digital Technology on the Economic Advancement of Fishermen in Batam Adi, Roni; Aritonang, Mhd Adi Setiawan; Bahri, M. Irvanni; Aswirawan, Maria Yosefina Meinadia Sekar Kinanti; Putri, Rumanintya Lisaria
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 7 No. 1 (2025): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v7i1.5103

Purpose: This study aims to investigate the tangible impact of digital technology on improving the livelihoods and income of fishermen in Batam, in alignment with the principles of a sustainable blue economy. Research Methodology: The research employed a quantitative and qualitative approach through direct field surveys conducted with 52 local fishermen in Batam. The data collected focused on digital tool usage, income changes, and perceived benefits and challenges. Results: Findings reveal that digital technologies—such as meteorological forecasting applications and online marketing platforms—serve as crucial drivers for economic transformation. Approximately 80% of the observed income increases are attributable to digital literacy and technology use. Notably, over 50% of respondents reported a direct rise in income after adopting digital marketing strategies. Conclusion: Digitalization significantly boosts fishermen’s income and economic resilience. However, this transition is impeded by limited technological adaptation among older generations and inadequate internet infrastructure in coastal regions. Limitations: The study is limited by its sample size and geographic scope, focusing solely on fishermen in Batam, which may limit the generalizability of the results to other archipelagic regions. Contribution: This research offers critical insights for policymakers by highlighting the importance of accessible technology training and robust internet infrastructure. These are key to ensuring equitable digital transformation and enhancing the global competitiveness of local fishing communities in Batam.

Analisis Keamanan Data Pasien pada Sistem Informasi Manajemen Rumah Sakit (SIMRS) Simanullang, Maradona Jonas; Aritonang, Mhd Adi Setiawan; Sinaga, Frans Mikael
Jurnal Desain Dan Analisis Teknologi Vol. 5 No. 1 (2026): Januari
Publisher : Aptikom Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58520/jddat.v5i1.98

Transformasi digital di sektor kesehatan mendorong rumah sakit untuk mengimplementasikan Sistem Informasi Manajemen Rumah Sakit (SIMRS) secara terintegrasi. SIMRS berperan penting dalam pengelolaan data pasien, termasuk rekam medis elektronik, administrasi pelayanan, serta pelaporan manajerial. Namun, meningkatnya ketergantungan terhadap sistem informasi juga meningkatkan risiko ancaman keamanan data pasien. Penelitian ini bertujuan untuk menganalisis keamanan data pasien pada SIMRS serta mengidentifikasi potensi risiko dan strategi mitigasi yang dapat diterapkan oleh rumah sakit. Metode penelitian yang digunakan adalah studi kasus dengan pendekatan deskriptif kualitatif, melalui observasi sistem, wawancara dengan tim teknologi informasi, dan analisis kebijakan keamanan informasi. Hasil penelitian menunjukkan bahwa ancaman keamanan data pasien meliputi akses tidak sah, kelemahan pengelolaan hak akses, serta kurang optimalnya penerapan standar keamanan informasi. Penelitian ini merekomendasikan penerapan kebijakan keamanan data yang komprehensif, peningkatan infrastruktur teknologi, serta penguatan sumber daya manusia untuk menjamin kerahasiaan, integritas, dan ketersediaan data pasien.

An Examination of the Influence of Blue Economy Digital Technology on the Economic Advancement of Fishermen in Batam Adi, Roni; Aritonang, Mhd Adi Setiawan; Bahri, M. Irvanni; Aswirawan, Maria Yosefina Meinadia Sekar Kinanti; Putri, Rumanintya Lisaria
Jurnal Akuntansi, Keuangan, dan Manajemen Vol 7 No 1 (2025): Desember
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v7i1.5103

Purpose: This study aims to investigate the tangible impact of digital technology on improving the livelihoods and income of fishermen in Batam, in alignment with the principles of a sustainable blue economy. Research Methodology: The research employed a quantitative and qualitative approach through direct field surveys conducted with 52 local fishermen in Batam. The data collected focused on digital tool usage, income changes, and perceived benefits and challenges. Results: Findings reveal that digital technologies—such as meteorological forecasting applications and online marketing platforms—serve as crucial drivers for economic transformation. Approximately 80% of the observed income increases are attributable to digital literacy and technology use. Notably, over 50% of respondents reported a direct rise in income after adopting digital marketing strategies. Conclusion: Digitalization significantly boosts fishermen’s income and economic resilience. However, this transition is impeded by limited technological adaptation among older generations and inadequate internet infrastructure in coastal regions. Limitations: The study is limited by its sample size and geographic scope, focusing solely on fishermen in Batam, which may limit the generalizability of the results to other archipelagic regions. Contribution: This research offers critical insights for policymakers by highlighting the importance of accessible technology training and robust internet infrastructure. These are key to ensuring equitable digital transformation and enhancing the global competitiveness of local fishing communities in Batam.

Penerapan Algoritma Metaheuristik untuk Optimasi Nilai K Pada K-NN dalam Pengelompokan Faktor Penyebab Stunting Aritonang, Mhd Adi Setiawan; Ardilla Siregar, Maya; Ani Arnomo, Sasa; Farasalsabila, Fidya
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1367

Stunting is a health issue that has a negative impact on people's quality of life and the development of a bangsa. Finding the cause of stunting accurately is a crucial step in developing effective mitigation strategies. K-Nearest Neighbor (K-NN) is one machine learning algorithm that is frequently used for classification and data analysis, but its performance is greatly impacted by the choice of an ideal K parameter. This study highlights the use of metaheuristic algorithms, such as genetic algorithms (GA) and particle swarm optimization (PSO), to optimize K in K-NN in order to identify the stunting factor. This method uses the kekuatan eksplorasi and eksploitasi algoritma metaheuristik to determine parameter K that yields optimal accuracy. Based on the results of the metaheuristic algorithm, it is concluded that without optimization, K-NN only achieves an accuracy of roughly 63%, highlighting the importance of choosing a suitable K value. When GA is used in K-NN optimization, the accuracy increases significantly, reaching 73%, indicating its ability to effectively explore the solution space. On the other hand, PSO also increases accuracy to 74%. It is hoped that the results of this study will provide significant contributions to the development of a more reliable model for analyzing the factors that contribute to stunting, thereby enhancing the use of data-based decision-making in attempts to address the stunting problem holistically.

Title

Found 23 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 23 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 23 Documents
Search