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All Journal International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JBT (JURNAL BISNIS dan TEKNOLOGI) Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Teknologi Dan Sistem Informasi Bisnis E-Link: Jurnal Teknik Elektro dan Informatika International Journal of Science, Engineering and Information Technology Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Indonesian Community Journal Green Intelligent Systems and Applications Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Hasi Penelitian Dan Pengkajian Ilmiah Eksakta - JPPIE Jurnal Sains dan Teknologi Nusantara Community Empowerment Review Submit : Jurnal Ilmiah Teknologi Informasi dan Sains Nusantara Computer and Design Review
Arda Surya Editya
Universitas Nahdlatul Ulama Sidoarjo
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Membangun Solidaritas melalui Turnamen Esports Mobile Legends di Komunitas Gaming Pedesaan Fitrianto, Rizal Akbar; Editya, Arda Surya; Husaini, Arinda Putri; Ekavanda, Wirahandy; Ferdyansyah, Moch. Arief
Nusantara Community Empowerment Review Vol. 2 No. 2 (2024): Nusantara Community Empowerment Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/ncer.v2i2.1328

Abstract

Turnamen Esports Mobile Legends di komunitas pedesaan menunjukkan potensi besar dalam membangun solidaritas dan semangat kompetitif. Penelitian ini bertujuan untuk mengeksplorasi dampak turnamen terhadap komunitas gaming pedesaan. Peserta terbatas dari kalangan pelajar SD-SMP, kompetisi ini menyoroti kolaborasi antargenerasi, potensi esports dalam mempersatukan komunitas, serta kebutuhan akan pengembangan yang lebih luas untuk mencapai dampak yang lebih besar. Penelitian ini bertujuan untuk mengeksplorasi dampak turnamen terhadap komunitas gaming pedesaan. Metode penelitian melibatkan observasi langsung dan wawancara dengan peserta serta penyelenggara turnamen. Hasil menunjukkan peningkatan interaksi sosial dan motivasi antar generasi di desa. Mobile Legends Esports tournaments in rural communities show great potential in building solidarity and competitive spirit. This research aims to explore the impact of tournaments on rural gaming communities. Limited to elementary and middle school students, this competition highlights intergenerational collaboration, the potential of esports in uniting communities, and the need for broader development to achieve greater impact. This research aims to explore the impact of tournaments on rural gaming communities. The research method involves direct observation and interviews with participants and tournament organizers. The results show increased social interaction and motivation between generations in the village.
Forensic Analysis of Drones Attacker Detection Using Deep Learning Editya, Arda Surya; Kurniati, Neny; Alamin, Mochammad Machlul; Pramana, Anggay Luri; Lisdiyanto, Angga
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.48183

Abstract

Purpose: This research proposes deep learning techniques to assist forensic analysis in drone accident cases. This process is focused on detecting attacking drones. In this research, we also compare several deep learning and make some comparisons of the best methods for detecting drone attackers.Methods: The methods applied in this research are YOLO, SSD, and Fast R-CNN. Additionally, to validate the effectiveness of the results, extensive experiments were conducted on the dataset. The dataset we use contains videos taken from drones, especially drone collisions. Evaluation metrics such as Precision, Recall, F1-Score, and mAP are used to assess the system's performance in detecting and classifying drone attackers.Results: This research show performance results in detecting and attributing drone-based threats accurately. In this experiment, it was found that YOLOV5 had superior results compared to YOLOV3 YOLOV4, SSD300, and Fast R-CNN. In this experiment we also detected ten types of objects with an average accuracy value of more than 0.5.Novelty: The proposed system contributes to improving security measures against drone-related incidents, serving as a valuable tool for law enforcement agencies, critical infrastructure protection and public safety. Furthermore, this underscores the growing importance of deep learning in addressing security challenges arising from the widespread use of drones in both civil and commercial contexts. 
Analisis Time Series Serangan Siber Global Menggunakan Metode ARIMA Editya, Arda Surya; Mu’min, Syahri; Andhyka, Awang; Nugroho, Rizky Aditya; Mufliq, Achmad
SUBMIT: Jurnal Ilmiah Teknologi Infomasi dan Sains Vol. 5 No. 2 (2025): Desember 2025
Publisher : Program Studi Teknik Informatika, Universitas Islam Majapahit Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/submit.v5i2.4527

Abstract

Insiden keamanan siber terus mengalami peningkatan baik dari sisi frekuensi maupun dampak yang ditimbulkan, sehingga analisis berbasis waktu menjadi penting untuk memahami pola serangan jangka panjang. Penelitian ini bertujuan untuk menganalisis tren serangan siber global menggunakan pendekatan time series analysis dengan metode Autoregressive Integrated Moving Average (ARIMA). Dataset yang digunakan berasal dari data ancaman keamanan siber global periode 2015–2024 yang telah diagregasi menjadi data runtun waktu tahunan berdasarkan jumlah insiden serangan. Metodologi penelitian meliputi proses agregasi data, pengujian kestasioneran melalui differencing, penentuan parameter ARIMA berdasarkan analisis autocorrelation function (ACF) dan partial autocorrelation function (PACF), serta evaluasi model menggunakan Akaike Information Criterion (AIC). Hasil penelitian menunjukkan bahwa model ARIMA mampu merepresentasikan pola temporal dan tren peningkatan serangan siber global secara efektif. Penelitian ini memberikan kontribusi dalam pemanfaatan analisis time series berbasis ARIMA untuk memahami dinamika historis serangan siber sebagai dasar analisis keamanan siber berbasis data.
Peran Mahasiswa dalam Pemberdayaan Masyarakat Melalui Program Revitalisasi Jimpitan dan Perawatan Taman Toga Mochammad Ad'ha; Arda Surya Editya; Muhammad Baharuddin; Lailatun Nazilah; Nisaul Mahira; Rofiatul Muhimmah; Rifqi Rosyadi; Alvin Yunianto; Avivah Parawangsa; Kusnia Afnani; Nabilla Azzahra; Zidny Camelia; Igga Oktavia; Anggi Yunisa; Zuniatus Sholikhah; Ahza Dhafa; Achmad Alhamdani
Nusantara Community Empowerment Review Vol. 4 No. 2 (2026): Nusantara Community Empowerment Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/90cg0a21

Abstract

Pengabdian masyarakat yang dilakukan oleh sivitas akademika UNUSIDA di Desa Sugihwaras RT 21 RW 06 berfokus pada revitalisasi tradisi jimpitan dan pelestarian taman Tanaman Obat Keluarga (TOGA) sebagai upaya pemberdayaan dan pelestarian budaya lokal. Tradisi jimpitan yang sempat vakum dan taman TOGA yang terbengkalai dihidupkan kembali melalui pendekatan Participatory Action Research (PAR) melibatkan sosialisasi, edukasi, dan inovasi sistem pengelolaan dana yang transparan dan akuntabel. Hasil pengabdian menunjukkan peningkatan partisipasi warga, penguatan solidaritas sosial, dan efektivitas pengelolaan dana jimpitan yang lebih terstruktur. Perawatan taman TOGA juga berhasil mengembalikan fungsi taman sebagai sumber tanaman obat yang bermanfaat untuk kesehatan dan potensi ekonomi masyarakat. Kegiatan ini menegaskan pentingnya kolaborasi antara sivitas akademika dan masyarakat dalam menjaga dan memperkuat nilai gotong royong serta pelestarian budaya sebagai modal sosial untuk kesejahteraan Bersama. Community service conducted by UNUSIDA academics in Sugihwaras Village, RT 21 RW 06, focused on revitalizing the jimpitan tradition and preserving the Family Medicinal Plant (TOGA) garden as an effort to empower and preserve local culture. The Jimpitan tradition, which had been dormant, and the neglected TOGA garden were revived through a Participatory Action Research (PAR) approach that involved socialization, education, and innovation in a transparent and accountable fund management system. The results of the community service showed increased community participation, strengthened social solidarity, and the effectiveness of more structured jimpitan fund management. The maintenance of the TOGA garden also succeeded in restoring the garden's function as a source of medicinal plants that are beneficial for health and the community's economic potential. This activity emphasized the importance of collaboration between academics and the community in maintaining and strengthening the values ​​of cooperation and cultural preservation as social capital for shared prosperity.
Pelatihan Pengolahan dan Penyajian Data Statistik untuk Meningkatkan Kompetensi Mahasiswa Baru Informatika UNUSIDA Mochammad Machlul Alamin; Arda Surya Editya; Anggay Luri Pramana; Neny Kurniati; Ahmad Khoir Alhaq; Nur Syaifuddin
Nusantara Community Empowerment Review Vol. 4 No. 2 (2026): Nusantara Community Empowerment Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/1h7h8n83

Abstract

Perkembangan teknologi informasi menuntut mahasiswa memiliki kompetensi dasar dalam pengolahan dan penyajian data statistik. Namun, kemampuan awal mahasiswa baru Program Studi Informatika Universitas Nahdlatul Ulama Sidoarjo (UNUSIDA) dalam bidang tersebut masih relatif rendah. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan kompetensi mahasiswa melalui pelatihan pengolahan dan penyajian data statistik berbasis aplikasi spreadsheet. Kebaruan kegiatan ini terletak pada pemanfaatan spreadsheet sebagai media pembelajaran untuk memperkuat kompetensi dasar pengolahan data bagi mahasiswa baru. Pelatihan diikuti oleh 48 peserta melalui metode ceramah, demonstrasi, praktik langsung, dan pendampingan. Evaluasi dilakukan menggunakan pretest, posttest, tugas praktik, dan kuesioner kepuasan, sedangkan data dianalisis secara deskriptif. Hasil evaluasi menunjukkan bahwa nilai rata-rata peserta meningkat dari 56,2 pada pretest menjadi 85,7 pada posttest atau mengalami peningkatan sebesar 29,5 poin. Selain itu, 62,5% peserta menyatakan sangat puas, 31,3% puas, dan 6,2% cukup puas terhadap pelaksanaan pelatihan. Hasil tersebut menunjukkan bahwa pelatihan berbasis spreadsheet efektif meningkatkan kompetensi peserta dalam pengolahan dan penyajian data statistik serta memperoleh respons positif. Meskipun demikian, evaluasi masih terbatas pada hasil belajar jangka pendek sehingga diperlukan penelitian lanjutan untuk mengkaji keberlanjutan kompetensi peserta. The increasing demand for data-driven decision-making requires university students to possess fundamental competencies in statistical data processing and presentation. However, the initial competency of first-year students in the Informatics Study Program at Universitas Nahdlatul Ulama Sidoarjo (UNUSIDA) remained relatively low. This community service program aims to improve students’ statistical data processing and presentation skills through spreadsheet-based training. The novelty of this program lies in introducing spreadsheet applications as an accessible learning tool to strengthen fundamental data processing competencies among first-year students. The training involved 48 participants and employed lectures, demonstrations, hands-on practice, and mentoring sessions. Participants' competencies were evaluated using pre-tests, post-tests, practical assignments, and satisfaction questionnaires, while the data were analyzed descriptively. The average score increased from 56.2 in the pre-test to 85.7 in the post-test, indicating an improvement of 29.5 points. In addition, 62.5% of participants were very satisfied, 31.3% were satisfied, and 6.2% were moderately satisfied with the training. These findings demonstrate that spreadsheet-based training effectively enhanced participants’ competencies and received positive responses. However, the evaluation was limited to short-term learning outcomes, suggesting the need for further studies to examine the long-term sustainability of the acquired competencies.
Co-Authors A. Khuwarismi Ijtaba Robbuhu Achmad Alhamdani Achmad Mufliq Aflachul Mu’minin Ahmad Khoir Alhaq Ahza Dhafa Alvin Yunianto Angga Lisdiyanto Anggay Luri Pramana Anggay Luri Pramana Anggi Yunisa Ashaffah, Muhammad Rafi Dwi Athika Dwi Wiji Utami Avivah Parawangsa Awang Andhyka Catur Lega Ekavanda, Wirahandy Ferdyansyah, Moch. Arief Firmansyah, Moch. Ilham Fitrianto, Rizal Akbar Husaini, Arinda Putri Igga Oktavia Istas Pratomo Istas Pratomo, Istas Kusnia Afnani Lailatun Nazilah Lega, Catur Listin Fitrianah Miharsih, Anjar Mochammad Ad'ha Mochammad Machlul Alamin Muhammad Baharuddin Muhammad Rafi Dwi Ashaffah Mu’min, Syahri Mu’minin, Aflachul Nabilla Azzahra Neny Kurniati Ngudi Tulus Widodo Nisaul Mahira Nur Syaifuddin Nurhalizah, Siti Pangarso, Aditya Wisnu Pramana, Anggay Lury Putra Uji Deva Satrio Rifqi Rosyadi Riza Alfita Rizky Aditya Nugroho Rofiatul Muhimmah Rofiq, M. Ainun ROSIDA VIVIN NAHARI Sari, Melisa Puspita Satria, Ragil Satriya, Bagus Surya Sumpeno Syahri Mu’min Untung Ussada Ussada, Untung Widanarko, Bayu Widodo, Ngudi Tulus Zahrotul Azizah Zidny Camelia Zuniatus Sholikhah